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Haas CB, Chen H, Harrison T, Fan S, Gago-Dominguez M, Castelao JE, Bolla MK, Wang Q, Dennis J, Michailidou K, Dunning AM, Easton DF, Antoniou AC, Hall P, Czene K, Andrulis IL, Mulligan AM, Milne RL, Fasching PA, Haeberle L, Garcia-Closas M, Ahearn T, Gierach GL, Haiman C, Maskarinec G, Couch FJ, Olson JE, John EM, Chenevix-Trench G, de Gonzalez AB, Jones M, Stone J, Murphy R, Aronson KJ, Wernli KJ, Hsu L, Vachon C, Tamimi RM, Lindström S. Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization. Breast Cancer Res Treat 2024:10.1007/s10549-024-07306-w. [PMID: 38653906 DOI: 10.1007/s10549-024-07306-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE Mammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR). METHODS We applied two-sample MR approaches to assess the association between genetically predicted circulating concentrations of sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG)], BMI, and mammographic density phenotypes (dense and non-dense area). We created instrumental variables from large European ancestry-based genome-wide association studies and applied estimates to mammographic density phenotypes in up to 14,000 women of European ancestry. We performed analyses overall and by menopausal status. RESULTS Genetically predicted BMI was positively associated with non-dense area (IVW: β = 1.79; 95% CI = 1.58, 2.00; p = 9.57 × 10-63) and inversely associated with dense area (IVW: β = - 0.37; 95% CI = - 0.51,- 0.23; p = 4.7 × 10-7). We observed weak evidence for an association of circulating sex hormone concentrations with mammographic density phenotypes, specifically inverse associations between genetically predicted testosterone concentration and dense area (β = - 0.22; 95% CI = - 0.38, - 0.053; p = 0.009) and between genetically predicted estradiol concentration and non-dense area (β = - 3.32; 95% CI = - 5.83, - 0.82; p = 0.009), although results were not consistent across a range of MR approaches. CONCLUSION Our findings support a positive causal association between BMI and mammographic non-dense area and an inverse association between BMI and dense area. Evidence was weaker and inconsistent for a causal effect of circulating sex hormone concentrations on mammographic density phenotypes. Based on our findings, associations between circulating sex hormone concentrations and mammographic density phenotypes are weak at best.
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Affiliation(s)
- Cameron B Haas
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
| | - Hongjie Chen
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tabitha Harrison
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Manuela Gago-Dominguez
- Health Research Institute of Santiago de Compostela Foundation (FIDIS), SERGAS, Cancer Genetics and Epidemiology Group, Santiago, Spain
| | - Jose E Castelao
- Unidad de Oncología Genética, Instituto de Investigación Sanitaria, Galicia Sur, Vigo, Spain
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Canada
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Prevision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gertraud Maskarinec
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Esther M John
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Geogia Chenevix-Trench
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Michael Jones
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Jennifer Stone
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, The University of Melbourne, Melbourne, VIC, Australia
| | - Rachel Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
| | - Kristan J Aronson
- Division of Cancer Care and Epidemiology, Department of Community Health and Epidemiology, Queen's University, Kingston, ON, K7L3N6, Canada
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Celine Vachon
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
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2
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Mannion S, Higgins A, Larson N, Stewart EA, Khan Z, Shenoy C, Nichols HB, Su HI, Partridge AH, Loprinzi CL, Couch F, Olson JE, Ruddy KJ. Prevalence and impact of fertility concerns in young women with breast cancer. Sci Rep 2024; 14:4418. [PMID: 38388636 PMCID: PMC10884010 DOI: 10.1038/s41598-024-54961-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/19/2024] [Indexed: 02/24/2024] Open
Abstract
Survey data from the Mayo Clinic Breast Disease Registry were used to assess fertility counseling and fertility preservation strategies in a modern cohort of young women with breast cancer. One hundred respondents were identified who were under age 50 at the time of breast cancer diagnosis and who expressed interest in future childbearing near the time of diagnosis and/or 1 year later. Ninety-three percent of the 81 respondents to the year one survey recalled fertility counseling prior to cancer treatment. Most who reported a high level of fertility concern declared that this concern had impacted their treatment decisions, often shortening their planned duration of endocrine therapy. Approximately half had taken steps to preserve future fertility, and a third had used a gonadotropin-releasing hormone agonist either alone or combined with another method (e.g., embryo or oocyte cryopreservation).
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Affiliation(s)
| | - Alexandra Higgins
- Department of Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Nicole Larson
- Department of Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | | | - Zaraq Khan
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA
| | - Chandra Shenoy
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - H Irene Su
- Department of Obstetrics and Gynecology, University of California San Diego, San Diego, CA, USA
| | - Ann H Partridge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Charles L Loprinzi
- Department of Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Fergus Couch
- Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Kathryn J Ruddy
- Department of Oncology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
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3
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Monroe JM, Quach HQ, Punia S, Enninga EAL, Fedyshyn Y, Girsch JH, Fedyshyn B, Lemens M, Littlefield D, Behl S, Sintim-Aboagye E, Mejia Plazas MC, Yamaoka S, Ebihara H, Pandey A, Correia C, Ung CY, Li H, Vassallo R, Sun J, Johnson EL, Olson JE, Theel ES, Badley AD, Kennedy RB, Theiler RN, Chakraborty R. Vertical Transmission of SARS-CoV-2-Specific Antibodies and Cytokine Profiles in Pregnancy. J Infect Dis 2024; 229:473-484. [PMID: 37786979 DOI: 10.1093/infdis/jiad399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/05/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023] Open
Abstract
Despite intensive characterization of immune responses after COVID-19 infection and vaccination, research examining protective correlates of vertical transmission in pregnancy are limited. Herein, we profiled humoral and cellular characteristics in pregnant women infected or vaccinated at different trimesters and in their corresponding newborns. We noted a significant correlation between spike S1-specific IgG antibody and its RBD-ACE2 blocking activity (receptor-binding domain-human angiotensin-converting enzyme 2) in maternal and cord plasma (P < .001, R > 0.90). Blocking activity of spike S1-specific IgG was significantly higher in pregnant women infected during the third trimester than the first and second trimesters. Elevated levels of 28 cytokines/chemokines, mainly proinflammatory, were noted in maternal plasma with infection at delivery, while cord plasma with maternal infection 2 weeks before delivery exhibited the emergence of anti-inflammatory cytokines. Our data support vertical transmission of protective SARS-CoV-2-specific antibodies. This vertical antibody transmission and the presence of anti-inflammatory cytokines in cord blood may offset adverse outcomes of inflammation in exposed newborns.
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Affiliation(s)
| | | | - Sohan Punia
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | | | - Yaroslav Fedyshyn
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | - James H Girsch
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
- Graduate School of Biomedical Sciences
| | | | - Maureen Lemens
- Division of Obstetrics, Department of Obstetrics and Gynecology
| | - Dawn Littlefield
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | - Supriya Behl
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | - Elise Sintim-Aboagye
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | - Maria C Mejia Plazas
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
| | | | | | - Akhilesh Pandey
- Division of Clinical Biochemistry and Immunology, Department of Laboratory Medicine and Pathology, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Center for Molecular Medicine, National Institute of Mental Health and Neurosciences, Bangalore
- Department of Community Medicine, Manipal Academy of Higher Education, Manipal, India
| | - Cristina Correia
- Department of Molecular Pharmacology and Experimental Therapeutics
| | - Choong Yong Ung
- Department of Molecular Pharmacology and Experimental Therapeutics
| | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics
| | - Robert Vassallo
- Thoracic Diseases Research Unit, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Department of Immunology, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
| | - Jie Sun
- Thoracic Diseases Research Unit, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Department of Immunology, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota
- Carter Immunology Center, School of Medicine, University of Virginia, Charlottesville
| | - Erica L Johnson
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, Georgia
| | | | - Elitza S Theel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology
| | - Andrew D Badley
- Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Regan N Theiler
- Division of Obstetrics, Department of Obstetrics and Gynecology
| | - Rana Chakraborty
- Children Research Center, Division of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine
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4
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Byale A, Lennon RJ, Byale S, Breen-Lyles M, Edwinson AL, Gupta R, Lacy BE, Olson JE, Houghton LA, Grover M. High-Dimensional Clustering of 4000 Irritable Bowel Syndrome Patients Reveals Seven Distinct Disease Subsets. Clin Gastroenterol Hepatol 2024; 22:173-184.e12. [PMID: 36174942 PMCID: PMC10040474 DOI: 10.1016/j.cgh.2022.09.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/18/2022] [Accepted: 09/09/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Irritable bowel syndrome (IBS) is a pain disorder classified by bowel habits, disregarding other factors that may influence the clinical course. The aim of this study was to determine if IBS patients can be clustered based on clinical, dietary, lifestyle, and psychosocial factors. METHODS Between 2013 and 2020, the Mayo Clinic Biobank surveyed and received 40,291 responses to a questionnaire incorporating Rome III criteria. Factors associated with IBS were determined and latent class analysis, a model-based clustering, was performed on IBS cases. RESULTS We identified 4021 IBS patients (mean 64 years; 75% women) and 12,063 controls. Using 26 variables separating cases from controls, the optimal clustering revealed 7 latent clusters. These were characterized by perceived health impairment (moderate or severe), psychoneurological factors, and bowel dysfunction (diarrhea or constipation predominance). Health impairment clusters demonstrated more pain, with the severe cluster also having more psychiatric comorbidities. The next 3 clusters had unique enrichment of psychiatric, neurological, or both comorbidities. The bowel dysfunction clusters demonstrated less abdominal pain, with diarrhea cluster most likely to report pain improvement with defecation. The constipation cluster had the highest exercise score and consumption of fruits, vegetables, and alcohol. The distribution of clusters remained similar when Rome IV criteria were applied. Physiologic tests were available on a limited subset (6%), and there were no significant differences between clusters. CONCLUSIONS In this cohort of older IBS patients, 7 distinct clusters were identified demonstrating varying degrees of gastrointestinal symptoms, comorbidities, dietary, and lifestyle factors. Further research is required to assess whether these unique clusters could be used to direct clinical trials and individualize patient management.
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Affiliation(s)
- Anjali Byale
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Ryan J Lennon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Siddharth Byale
- Viterbi School of Engineering, University of Southern California, Los Angeles, California
| | | | - Adam L Edwinson
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Ruchi Gupta
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Brian E Lacy
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Lesley A Houghton
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida; Division of Gastroenterology and Surgical Sciences, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom
| | - Madhusudan Grover
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
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5
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Jahan N, Cathcart-Rake E, Vierkant RA, Larson N, Loprinzi C, O'Sullivan CC, Faubion S, Kuhle C, Vencill JA, Couch F, Olson JE, Ruddy KJ. Sexual Dysfunction in Patients With Metastatic Breast Cancer. Clin Breast Cancer 2024; 24:72-78.e4. [PMID: 37867114 DOI: 10.1016/j.clbc.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 09/07/2023] [Accepted: 09/28/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Sexual well-being is a key determinant of quality of life. Sexual dysfunction in patients with metastatic breast cancer (MBC) is understudied. PATIENTS AND METHODS Patients were eligible for this study if they participated in the Mayo Clinic Breast Disease Registry (MCBDR), had a diagnosis of de novo MBC, and responded to a question about sexual dysfunction at the baseline MCBDR survey. Participants reported their sexual dysfunction on a scale of 0 (no dysfunction) to 10 (severe dysfunction) at baseline and then annually for 4 years. Participants answered additional sexual symptom questions in years 2 and 4. Associations between patient attributes and the presence and severity of sexual dysfunction, changes in sexual dysfunction from baseline to subsequent surveys, and associations between specific sexual symptoms and severity of sexual dysfunction were assessed. RESULTS One hundred three patients with de novo MBC answered the sexual dysfunction question at baseline. The prevalence of any sexual dysfunction (score of 1-10) was 56.3% at baseline (n = 103), 57.1 % at year 1 (n = 77), 80.4% at year 2 (n = 46), 65.8% at year 3 (n = 38), and 85% at year 4 (n = 20). Vaginal dryness was reported by approximately 49% and 39% of patients in years 2 and 4 respectively. Vaginal dryness was associated with higher severity of sexual dysfunction. CONCLUSIONS Self-reported sexual dysfunction is frequent in women with de novo MBC. Vaginal dryness is a frequently reported treatable symptom associated with higher severity of sexual dysfunction. Clinicians should assess patients with MBC for sexual dysfunction and discuss potential treatment strategies.
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Affiliation(s)
- Nusrat Jahan
- Division of Hematology and Oncology, University Alabama at Birmingham, Birmingham, AL
| | | | - Robert A Vierkant
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Nicole Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | | | | | - Carol Kuhle
- Department of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Jennifer A Vencill
- Department of General Internal Medicine, Mayo Clinic, Rochester, MN; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| | - Fergus Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Janet E Olson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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6
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St. Sauver JL, Weston SA, Atkinson EJ, Mc Gree ME, Mielke MM, White TA, Heeren AA, Olson JE, Rocca WA, Palmer AK, Cummings SR, Fielding RA, Bielinski SJ, LeBrasseur NK. Biomarkers of cellular senescence and risk of death in humans. Aging Cell 2023; 22:e14006. [PMID: 37803875 PMCID: PMC10726868 DOI: 10.1111/acel.14006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/14/2023] [Accepted: 09/19/2023] [Indexed: 10/08/2023] Open
Abstract
A robust and heterogenous secretory phenotype is a core feature of most senescent cells. In addition to mediators of age-related pathology, components of the senescence associated secretory phenotype (SASP) have been studied as biomarkers of senescent cell burden and, in turn, biological age. Therefore, we hypothesized that circulating concentrations of candidate senescence biomarkers, including chemokines, cytokines, matrix remodeling proteins, and growth factors, could predict mortality in older adults. We assessed associations between plasma levels of 28 SASP proteins and risk of mortality over a median follow-up of 6.3 years in 1923 patients 65 years of age or older with zero or one chronic condition at baseline. Overall, the five senescence biomarkers most strongly associated with an increased risk of death were GDF15, RAGE, VEGFA, PARC, and MMP2, after adjusting for age, sex, race, and the presence of one chronic condition. The combination of biomarkers and clinical and demographic covariates exhibited a significantly higher c-statistic for risk of death (0.79, 95% confidence interval (CI): 0.76-0.82) than the covariates alone (0.70, CI: 0.67-0.74) (p < 0.001). Collectively, these findings lend further support to biomarkers of cellular senescence as informative predictors of clinically important health outcomes in older adults, including death.
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Affiliation(s)
| | - Susan A. Weston
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | | | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Thomas A. White
- Robert and Arlene Kogod Center on AgingMayo ClinicRochesterMinnesotaUSA
| | - Amanda A. Heeren
- Robert and Arlene Kogod Center on AgingMayo ClinicRochesterMinnesotaUSA
| | - Janet E. Olson
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Walter A. Rocca
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
- Women's Health Research Center, Mayo ClinicRochesterMinnesotaUSA
| | - Allyson K. Palmer
- Robert and Arlene Kogod Center on AgingMayo ClinicRochesterMinnesotaUSA
- Division of Hospital Internal MedicineMayo ClinicRochesterMinnesotaUSA
| | - Steven R. Cummings
- Departments of Medicine, Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Research Institute, California Pacific Medical CenterSan FranciscoCaliforniaUSA
| | - Roger A. Fielding
- Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on AgingTufts UniversityBostonMassachusettsUSA
| | | | - Nathan K. LeBrasseur
- Robert and Arlene Kogod Center on AgingMayo ClinicRochesterMinnesotaUSA
- Paul F. Glenn Center for the Biology of Aging ResearchMayo ClinicRochesterMinnesotaUSA
- Department of Physical Medicine and RehabilitationMayo ClinicRochesterMinnesotaUSA
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7
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Anazco D, Ghusn W, Campos A, Cifuentes L, Fansa S, Tama E, Bublitz JT, Gala K, Hurtado MD, Olson JE, Acosta A. Type 2 Diabetes Remission in Patients with Heterozygous Variants in the Leptin-Melanocortin Pathway after Roux-en-Y Gastric Bypass: A Matched Case-Control Study. Obes Surg 2023; 33:3502-3509. [PMID: 37798511 DOI: 10.1007/s11695-023-06859-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/13/2023] [Accepted: 09/24/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Roux-en-Y gastric bypass (RYGB) is associated with a high rate of type 2 diabetes (T2D) remission. Carriers of heterozygous variants in the leptin-melanocortin pathway (LMP) are more likely to experience weight recurrence after RYGB. Our aim was to investigate if carrier status and associated weight regain affects the rate of T2D remission after RYGB. METHODS Carriers of LMP variants with a diagnosis of T2D prior to RYGB (N = 16) were matched to non-carriers (N = 32) based on sex, age, and BMI. We assessed for post-operative T2D remission status post-surgery on a yearly basis, for up to 15 years. Our primary endpoint was the proportion of patients achieving T2D remission at 1 year. We conducted a survival analysis for all patients that achieved remission at least at one time-point to evaluate for maintenance of T2D remission by using a log-rank test. RESULTS Both carriers and non-carriers had similar baseline and procedural characteristics. The proopiomelanocortin gene in the LMP pathway had the most variants (n = 5, 31%). Carriers had a lower total body weight loss percentage at nadir (28.7% ± 6.9) than non-carriers (33.7% ± 8.8, p = 0.04). The proportion of patients achieving T2D remission at 1 year was 68.8% for carriers and 71.9% for non-carriers (p = 1.0). Survival curves for maintenance of first remission were similar for both groups (p = 0.73), with a median survival of 8 years for both carriers and non-carriers. CONCLUSIONS Despite inferior weight loss outcomes at nadir, carriers had similar T2D remission rates when compared to non-carriers. Weight-independent metabolic benefits of RYGB might contribute to this observation.
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Affiliation(s)
- Diego Anazco
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Wissam Ghusn
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Alejandro Campos
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Lizeth Cifuentes
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Sima Fansa
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Elif Tama
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Joshua T Bublitz
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55902, USA
| | - Khushboo Gala
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
| | - Maria D Hurtado
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Janet E Olson
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55902, USA
| | - Andres Acosta
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, 200 First St. S.W., Rochester, MN, 55902, USA.
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8
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Moser ED, Manemann SM, Larson NB, St Sauver JL, Takahashi PY, Mielke MM, Rocca WA, Olson JE, Roger VL, Remaley AT, Decker PA, Killian JM, Bielinski SJ. Association Between Fluctuations in Blood Lipid Levels Over Time With Incident Alzheimer Disease and Alzheimer Disease-Related Dementias. Neurology 2023; 101:e1127-e1136. [PMID: 37407257 PMCID: PMC10513892 DOI: 10.1212/wnl.0000000000207595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/12/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Prevention strategies for Alzheimer disease and Alzheimer disease-related dementias (AD/ADRDs) are urgently needed. Lipid variability, or fluctuations in blood lipid levels at different points in time, has not been examined extensively and may contribute to the risk of AD/ADRD. Lipid panels are a part of routine screening in clinical practice and routinely available in electronic health records (EHR). Thus, in a large geographically defined population-based cohort, we investigated the variation of multiple lipid types and their association to the development of AD/ADRD. METHODS All residents living in Olmsted County, Minnesota on the index date January 1, 2006, aged 60 years or older without an AD/ADRD diagnosis were identified. Persons with ≥3 lipid measurements including total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), or high-density lipoprotein cholesterol (HDL-C) in the 5 years before index date were included. Lipid variation was defined as any change in individual's lipid levels over time regardless of direction and was measured using variability independent of the mean (VIM). Associations between lipid variation quintiles and incident AD/ADRD were assessed using Cox proportional hazards regression. Participants were followed through 2018 for incident AD/ADRD. RESULTS The final analysis included 11,571 participants (mean age 71 years; 54% female). Median follow-up was 12.9 years with 2,473 incident AD/ADRD cases. After adjustment for confounding variables including sex, race, baseline lipid measurements, education, BMI, and lipid-lowering treatment, participants in the highest quintile of total cholesterol variability had a 19% increased risk of incident AD/ADRD, and those in highest quintile of triglycerides, variability had a 23% increased risk. DISCUSSION In a large EHR derived cohort, those in the highest quintile of variability for total cholesterol and triglyceride levels had an increased risk of incident AD/ADRD. Further studies to identify the mechanisms behind this association are needed.
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Affiliation(s)
- Ethan D Moser
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Sheila M Manemann
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Nicholas B Larson
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jennifer L St Sauver
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Paul Y Takahashi
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Michelle M Mielke
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Walter A Rocca
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Janet E Olson
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Véronique L Roger
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Alan T Remaley
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Paul A Decker
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jill M Killian
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Suzette J Bielinski
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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9
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Marell PS, Vierkant RA, Olson JE, Herrmann J, Larson NL, Lebrasseur NK, D’Andre SD, Ehlers DK, Stan DL, Cheville AL, Barksdale T, Loprinzi CL, Couch FJ, Ruddy KJ. Changes in amount and intensity of physical activity over time in breast cancer survivors. JNCI Cancer Spectr 2023; 7:pkad056. [PMID: 37561108 PMCID: PMC10471529 DOI: 10.1093/jncics/pkad056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/28/2023] [Accepted: 08/01/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Physical activity is associated with decreased breast cancer recurrence and mortality, as well as fewer treatment-related symptoms. Nevertheless, most breast cancer survivors do not meet physical activity guidelines. The purpose of this manuscript is to characterize physical activity trends over time in breast cancer survivors. METHODS Mayo Clinic Breast Disease Registry participants received surveys at baseline and at 1 and 4 years after diagnosis; breast cancer recurrence and/or metastatic disease were exclusion criteria. Participants were considered to be meeting guidelines if they self-reported at least 150 minutes of moderate-intensity (eg, fast walking) and/or strenuous (eg, jogging) physical activity per week. Statistical analyses include analysis of covariance methods, paired t tests, conditional logistic regression models, and McNemar tests of homogeneity. RESULTS A total of 171 participants were included in the analysis. The amount of total physical activity decreased over time (P = .07). Mild-intensity physical activity (eg, easy walking) decreased most over time (P = .05). Among participants aged 18-49 years, mild-intensity (P = .05) and moderate-intensity (P = .02) physical activity decreased over time. Strenuous-intensity physical activity levels decreased over time among participants with a normal body mass index (P = .002) and with obesity (P = .01). CONCLUSIONS We found a trend-level decrease in total physical activity over time, driven mostly by a decrease in mild-intensity physical activity. Young breast cancer survivors are especially likely to reduce their physical activity over time. Further research on implementing physical activity guidelines in clinical practice is warranted.
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Affiliation(s)
- Paulina S Marell
- Community Internal Medicine, Geriatrics, and Palliative Care, Mayo Clinic, Rochester, MN, USA
| | | | - Janet E Olson
- Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Joerg Herrmann
- Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nicole L Larson
- Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Diane K Ehlers
- Quantitative Health Sciences, Mayo Clinic, Phoenix, AZ, USA
| | - Daniela L Stan
- General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Andrea L Cheville
- Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA
| | - Toure Barksdale
- Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA
| | | | - Fergus J Couch
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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10
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Stolarova L, Kleiblova P, Zemankova P, Stastna B, Janatova M, Soukupova J, Achatz MI, Ambrosone C, Apostolou P, Arun BK, Auer P, Barnard M, Bertelsen B, Blok MJ, Boddicker N, Brunet J, Burnside ES, Calvello M, Campbell I, Chan SH, Chen F, Chiang JB, Coppa A, Cortesi L, Crujeiras-González A, De Leeneer K, De Putter R, DePersia A, Devereux L, Domchek S, Efremidis A, Engel C, Ernst C, Evans DGR, Feliubadaló L, Fostira F, Fuentes-Ríos O, Gómez-García EB, González S, Haiman C, Hansen TVO, Hauke J, Hodge J, Hu C, Huang H, Ishak NDB, Iwasaki Y, Konstantopoulou I, Kraft P, Lacey J, Lázaro C, Li N, Lim WK, Lindstrom S, Lori A, Martinez E, Martins A, Matsuda K, Matullo G, McInerny S, Michailidou K, Montagna M, Monteiro AN, Mori L, Nathanson K, Neuhausen SL, Nevanlinna H, Olson JE, Palmer J, Pasini B, Patel A, Piane M, Poppe B, Radice P, Renieri A, Resta N, Richardson ME, Rosseel T, Ruddy KJ, Santamariña M, Dos Santos ES, Teras L, Toland AE, Trentham-Dietz A, Vachon CM, Volk AE, Weber-Lassalle N, Weitzel JN, Wiesmuller L, Winham S, Yadav S, Yannoukakos D, Yao S, Zampiga V, Zethoven M, Zhang ZW, Zima T, Spurdle AB, Vega A, Rossing M, Del Valle J, De Nicolo A, Hahnen E, Claes KB, Ngeow J, Momozawa Y, James PA, Couch FJ, Macurek L, Kleibl Z. ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk. Clin Cancer Res 2023; 29:3037-3050. [PMID: 37449874 PMCID: PMC10425727 DOI: 10.1158/1078-0432.ccr-23-0212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/06/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE Germline pathogenic variants in CHEK2 confer moderately elevated breast cancer risk (odds ratio, OR ∼ 2.5), qualifying carriers for enhanced breast cancer screening. Besides pathogenic variants, dozens of missense CHEK2 variants of uncertain significance (VUS) have been identified, hampering the clinical utility of germline genetic testing (GGT). EXPERIMENTAL DESIGN We collected 460 CHEK2 missense VUS identified by the ENIGMA consortium in 15 countries. Their functional characterization was performed using CHEK2-complementation assays quantifying KAP1 phosphorylation and CHK2 autophosphorylation in human RPE1-CHEK2-knockout cells. Concordant results in both functional assays were used to categorize CHEK2 VUS from 12 ENIGMA case-control datasets, including 73,048 female patients with breast cancer and 88,658 ethnicity-matched controls. RESULTS A total of 430/460 VUS were successfully analyzed, of which 340 (79.1%) were concordant in both functional assays and categorized as functionally impaired (N = 102), functionally intermediate (N = 12), or functionally wild-type (WT)-like (N = 226). We then examined their association with breast cancer risk in the case-control analysis. The OR and 95% CI (confidence intervals) for carriers of functionally impaired, intermediate, and WT-like variants were 2.83 (95% CI, 2.35-3.41), 1.57 (95% CI, 1.41-1.75), and 1.19 (95% CI, 1.08-1.31), respectively. The meta-analysis of population-specific datasets showed similar results. CONCLUSIONS We determined the functional consequences for the majority of CHEK2 missense VUS found in patients with breast cancer (3,660/4,436; 82.5%). Carriers of functionally impaired missense variants accounted for 0.5% of patients with breast cancer and were associated with a moderate risk similar to that of truncating CHEK2 variants. In contrast, 2.2% of all patients with breast cancer carried functionally wild-type/intermediate missense variants with no clinically relevant breast cancer risk in heterozygous carriers.
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Affiliation(s)
- Lenka Stolarova
- Laboratory of Cancer Cell Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petra Zemankova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Department of Pathophysiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Barbora Stastna
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Maria Isabel Achatz
- A.C. Camargo Cancer Center and Oncology Center, Hospital Sirio-Libanes, Sao Paulo, Brazil
| | - Christine Ambrosone
- Department of Cancer Prevention & Control, Roswell Park Cancer Center, Buffalo, New York
- WCHS Inc., Baltimore, Maryland
| | - Paraskevi Apostolou
- Human Molecular Genetics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Banu K. Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paul Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, Wisconsin
- WHI, USA
| | - Mollie Barnard
- Slone Epidemiology Center, Boston University, Boston, Massachusetts
| | - Birgitte Bertelsen
- Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marinus J. Blok
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Nicholas Boddicker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- CARRIERS, USA
| | - Joan Brunet
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Elizabeth S. Burnside
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
- WWHS, Charlotte, North Carolina
| | - Mariarosaria Calvello
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Ian Campbell
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Sock Hoai Chan
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Fei Chen
- Keck School of Medicine, University of Southern California, Los Angeles, California
- MEC, USA
| | - Jian Bang Chiang
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
| | - Anna Coppa
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Laura Cortesi
- Department of Oncology and Haematology, Modena University Hospital, Modena, Italy
| | - Ana Crujeiras-González
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Kim De Leeneer
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Robin De Putter
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Allison DePersia
- Center for Medical Genetics, NorthShore University Health System, Evanston, Illinois
| | - Lisa Devereux
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Susan Domchek
- CARRIERS, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anna Efremidis
- Clinical Cancer Genetics and Family Consultants, CLINICAGENE, Athens Medical Center, Athens, Greece
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Corinna Ernst
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - D. Gareth R. Evans
- Manchester Centre for Genomic Medicine, Division of Evolution and Genomic Sciences, University of Manchester, Manchester, United Kingdom
| | - Lidia Feliubadaló
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Olivia Fuentes-Ríos
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Encarna B. Gómez-García
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Sara González
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, California
- MEC, USA
| | - Thomas van Overeem Hansen
- Department of Clinical Genetics, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
| | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - James Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
- CPS3, Kennesaw, Georgia
| | - Chunling Hu
- CARRIERS, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Hongyan Huang
- T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- NHS, Reston, Virginia
| | | | - Yusuke Iwasaki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Peter Kraft
- T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- NHS, Reston, Virginia
| | - James Lacey
- Beckman Research Institute, City of Hope Cancer Center, Duarte, California
- CTS, USA
| | - Conxi Lázaro
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Na Li
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Sara Lindstrom
- WHI, USA
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Adriana Lori
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
- American Cancer Society, Atlanta, Georgia
| | - Elana Martinez
- Duke-NUS Medical School, Singapore, Singapore
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California
| | - Alexandra Martins
- Inserm UMR1245, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, Normandie University, Rouen, France
| | - Koichi Matsuda
- Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, and Royal Melbourne Hospital, Melbourne, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology, Padua, Italy
| | - Alvaro N.A. Monteiro
- Cancer Epidemiology Program, Division of Population Sciences, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Luigi Mori
- Endocrine and Metabolic Disease Unit, ASST Spedali Civili of Brescia, Brescia, Italia
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Katherine Nathanson
- CARRIERS, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- MCBCS, USA
| | - Julie Palmer
- Slone Epidemiology Center, Boston University, Boston, Massachusetts
| | - Barbara Pasini
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Alpa Patel
- Department of Population Science, American Cancer Society, Atlanta, Georgia
- CPS-II, USA
| | - Maria Piane
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Bruce Poppe
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Paolo Radice
- Department of Experimental Oncology, Molecular Bases of Genetic Risk and Genetic Testing Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Nicoletta Resta
- Department of Precision and Regenerative Medicine and Ionian Area, Medical Genetics Unit, University of Bari, Bari, Italy
| | | | - Toon Rosseel
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Kathryn J. Ruddy
- MCBCS, USA
- Department of Oncology, Mayo Clinic, Rochester, Minnesota
| | - Marta Santamariña
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | | | - Lauren Teras
- Department of Population Science, American Cancer Society, Atlanta, Georgia
- CPS-II, USA
| | - Amanda E. Toland
- Department of Cancer Biology & Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Amy Trentham-Dietz
- WWHS, Charlotte, North Carolina
- University of Wisconsin, Madison, Wisconsin
| | | | - Alexander E. Volk
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nana Weber-Lassalle
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | | | - Lisa Wiesmuller
- Department of Obstetrics and Gynecology, Ulm University, Ulm, Germany
| | - Stacey Winham
- MMHS, USA
- Department Quantitative Sciences, Mayo Clinic, Rochester, Minnesota
| | - Siddhartha Yadav
- CARRIERS, USA
- Department of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRaSTES, National Center for Scientific Research "Demokritos," Athens, Greece
| | - Song Yao
- WCHS Inc., Baltimore, Maryland
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Valentina Zampiga
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori," Meldola, Italy
| | - Magnus Zethoven
- Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Ze Wen Zhang
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
| | - Tomas Zima
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Amanda B. Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ana Vega
- Fundacion Publica Galega de Medicina Xenomica, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Maria Rossing
- Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jesús Del Valle
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL-IGTP-IDIBGI, L'Hospitalet, Barcelona, Spain
| | - Arcangela De Nicolo
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Kathleen B.M. Claes
- Center for Medical Genetics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Joanne Ngeow
- Cancer Genetics Service, National Cancer Centre, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Paul A. James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
- Inserm UMR1245, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, Normandie University, Rouen, France
| | - Fergus J. Couch
- CARRIERS, USA
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Libor Macurek
- Laboratory of Cancer Cell Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Zdenek Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Department of Pathophysiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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11
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Middha P, Wang X, Behrens S, Bolla MK, Wang Q, Dennis J, Michailidou K, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baert T, Freeman LEB, Becher H, Beckmann MW, Benitez J, Bojesen SE, Brauch H, Brenner H, Brooks-Wilson A, Campa D, Canzian F, Carracedo A, Castelao JE, Chanock SJ, Chenevix-Trench G, Cordina-Duverger E, Couch FJ, Cox A, Cross SS, Czene K, Dossus L, Dugué PA, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Fletcher O, Flyger H, Gabrielson M, Gago-Dominguez M, Giles GG, González-Neira A, Grassmann F, Grundy A, Guénel P, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson SE, Harkness EF, Holleczek B, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Ingvar C, Isaksson K, Jernström H, John EM, Jones ME, Kaaks R, Keeman R, Kitahara CM, Ko YD, Koutros S, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Larsson S, Le Marchand L, Lejbkowicz F, Li S, Linet M, Lissowska J, Martinez ME, Maurer T, Mulligan AM, Mulot C, Murphy RA, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, O'Brien KM, Olson JE, Patel AV, Prentice R, Rees-Punia E, Rennert G, Rhenius V, Ruddy KJ, Sandler DP, Scott CG, Shah M, Shu XO, Smeets A, Southey MC, Stone J, Tamimi RM, Taylor JA, Teras LR, Tomczyk K, Troester MA, Truong T, Vachon CM, Wang SS, Weinberg CR, Wildiers H, Willett W, Winham SJ, Wolk A, Yang XR, Zamora MP, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, García-Closas M, Schmidt MK, Kraft P, Milne RL, Lindström S, Easton DF, Chang-Claude J. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast Cancer Res 2023; 25:93. [PMID: 37559094 PMCID: PMC10411002 DOI: 10.1186/s13058-023-01691-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
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Affiliation(s)
- Pooja Middha
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Xiaoliang Wang
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Paul L Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Thaïs Baert
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Javier Benitez
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angel Carracedo
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB2), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Emilie Cordina-Duverger
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Felix Grassmann
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute for Clinical Research and Systems Medicine, Health and Medical University, Potsdam, Germany
| | - Anne Grundy
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Pascal Guénel
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Amherst, MA, USA
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Nightingale and Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christian Ingvar
- Surgery, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Karolin Isaksson
- Department of Surgery, Kristianstad Hospital, Kristianstad, Sweden
| | - Helena Jernström
- Oncology, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Johanniter GmbH Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Nicole L Larson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Susanna Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Shuai Li
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Oncology Institute, Warsaw, Poland
| | - Maria Elena Martinez
- Moores Cancer Center and Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Tabea Maurer
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Claire Mulot
- INSERM UMR-S1138. CRB EPIGENETEC, Université Paris Cité, Paris, France
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - William G Newman
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sune F Nielsen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Aaron Norman
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Erika Rees-Punia
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Valerie Rhenius
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christopher G Scott
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Mitul Shah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Katarzyna Tomczyk
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Hans Wildiers
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Walter Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stacey J Winham
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Pilar Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Madrid, Spain
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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12
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Boddicker NJ, Parikh SA, Norman AD, Rabe KG, Griffin R, Call TG, Robinson DP, Olson JE, Dispenzieri A, Rajkumar V, Kumar S, Kay NE, Hanson CA, Cerhan JR, Murray D, Braggio E, Shanafelt TD, Vachon CM, Slager SL. Relationship among three common hematological premalignant conditions. Leukemia 2023; 37:1719-1722. [PMID: 37147423 PMCID: PMC10400408 DOI: 10.1038/s41375-023-01914-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/14/2023] [Accepted: 04/20/2023] [Indexed: 05/07/2023]
Affiliation(s)
| | | | - Aaron D Norman
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Kari G Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Rosalie Griffin
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | | | - Dennis P Robinson
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Curtis A Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - David Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Tait D Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
| | | | - Susan L Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA.
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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13
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Bielinski SJ, Yanes Cardozo LL, Takahashi PY, Larson NB, Castillo A, Podwika A, De Filippis E, Hernandez V, Mahajan GJ, Gonzalez C, Shubhangi, Decker PA, Killian JM, Olson JE, St. Sauver JL, Shah P, Vella A, Ryu E, Liu H, Marshall GD, Cerhan JR, Singh D, Summers RL. Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients. J Clin Endocrinol Metab 2023; 108:1740-1746. [PMID: 36617249 PMCID: PMC10271218 DOI: 10.1210/clinem/dgac759] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/21/2022] [Accepted: 12/28/2022] [Indexed: 01/09/2023]
Abstract
CONTEXT Metformin is the first-line drug for treating diabetes but has a high failure rate. OBJECTIVE To identify demographic and clinical factors available in the electronic health record (EHR) that predict metformin failure. METHODS A cohort of patients with at least 1 abnormal diabetes screening test that initiated metformin was identified at 3 sites (Arizona, Mississippi, and Minnesota). We identified 22 047 metformin initiators (48% female, mean age of 57 ± 14 years) including 2141 African Americans, 440 Asians, 962 Other/Multiracial, 1539 Hispanics, and 16 764 non-Hispanic White people. We defined metformin failure as either the lack of a target glycated hemoglobin (HbA1c) (<7%) within 18 months of index or the start of dual therapy. We used tree-based extreme gradient boosting (XGBoost) models to assess overall risk prediction performance and relative contribution of individual factors when using EHR data for risk of metformin failure. RESULTS In this large diverse population, we observed a high rate of metformin failure (43%). The XGBoost model that included baseline HbA1c, age, sex, and race/ethnicity corresponded to high discrimination performance (C-index of 0.731; 95% CI 0.722, 0.740) for risk of metformin failure. Baseline HbA1c corresponded to the largest feature performance with higher levels associated with metformin failure. The addition of other clinical factors improved model performance (0.745; 95% CI 0.737, 0.754, P < .0001). CONCLUSION Baseline HbA1c was the strongest predictor of metformin failure and additional factors substantially improved performance suggesting that routinely available clinical data could be used to identify patients at high risk of metformin failure who might benefit from closer monitoring and earlier treatment intensification.
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Affiliation(s)
- Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Licy L Yanes Cardozo
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Mississippi Center of Excellence in Perinatal Research, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Women's Health Research Center, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Nicholas B Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Alexandra Castillo
- Center for Informatics and Analytics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | | | - Eleanna De Filippis
- Division of Endocrinology, Diabetes, and Metabolism Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA
| | | | - Gouri J Mahajan
- UMMC Biobank-School of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | | | - Shubhangi
- Mountain Park Health Center, Phoenix, AZ 85012, USA
| | - Paul A Decker
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Jill M Killian
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Janet E Olson
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Jennifer L St. Sauver
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, USA
| | - Pankaj Shah
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Adrian Vella
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Euijung Ryu
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Hongfang Liu
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Gailen D Marshall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - James R Cerhan
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Richard L Summers
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS 39216, USA
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14
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St Sauver JL, LeBrasseur NK, Rocca WA, Olson JE, Bielinski SJ, Sohn S, Weston SA, McGree ME, Mielke MM. Cohort study examining associations between ceramide levels and risk of multimorbidity among persons participating in the Mayo Clinic Biobank. BMJ Open 2023; 13:e069375. [PMID: 37085302 PMCID: PMC10124265 DOI: 10.1136/bmjopen-2022-069375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
OBJECTIVE Ceramides have been associated with several ageing-related conditions but have not been studied as a general biomarker of multimorbidity (MM). Therefore, we determined whether ceramide levels are associated with the rapid development of MM. DESIGN Retrospective cohort study. SETTING Mayo Clinic Biobank. PARTICIPANTS 1809 persons in the Mayo Clinic Biobank ≥65 years without MM at the time of enrolment, and with ceramide levels assayed from stored plasma. PRIMARY OUTCOME MEASURE Persons were followed for a median of 5.7 years through their medical records to identify new diagnoses of 20 chronic conditions. The number of new conditions was divided by the person-years of follow-up to calculate the rate of accumulation of new chronic conditions. RESULTS Higher levels of C18:0 and C20:0 were associated with a more rapid rate of accumulation of chronic conditions (C18:0 z score RR: 1.30, 95% CI: 1.10 to 1.53; C20:0 z score RR: 1.26, 95% CI: 1.07 to 1.49). Higher C18:0 and C20:0 levels were also associated with an increased risk of hypertension and coronary artery disease. CONCLUSIONS C18:0 and C20:0 were associated with an increased risk of cardiometabolic conditions. When combined with biomarkers specific to other diseases of ageing, these ceramides may be a useful component of a biomarker panel for predicting accelerated ageing.
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Affiliation(s)
- Jennifer L St Sauver
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Nathan K LeBrasseur
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota, USA
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA
| | - Walter A Rocca
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Janet E Olson
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Sunghwan Sohn
- Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Susan A Weston
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Michaela E McGree
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle M Mielke
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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15
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Larson NL, Ruddy KJ, Abraha F, Herman DM, Couch FJ, Olson JE. Abstract 748: Accuracy of self reported chemotherapy usage in annual follow up surveys for a breast cancer registry. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Introduction: The utilization of self reported chemotherapy treatment data is common in epidemiologic research but there is little understanding of its accuracy and limitations.
Methods: The Mayo Clinic Breast Disease Registry (MCBDR) has over 9,600 participants enrolled within one year of a first breast cancer diagnosis. Participants receive annual follow up surveys through the mail to capture data on breast cancer treatments and outcomes. We compared nurse abstracted medical record chemotherapy data to self reported chemotherapy data from women diagnosed with stage 0 to 3 breast cancer that completed five consecutive annual follow up surveys. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) statistics were assessed for the report of broad chemotherapy receipt (yes, no, DK) within each yearly survey compared to the gold standard medical record data. To assess the accuracy of the self reported use of specific chemotherapy regimens, a sub cohort known as the “congruent sub cohort” was created for each survey year that included subjects that agreed with the nurse abstractors report of their broad chemotherapy usage. Sensitivity, specificity, PPV, NPV, and concordance statistics were calculated for the congruent sub cohorts followed by an assessment of the proportion of subjects providing correct responses for all chemotherapy regimens queried compared to those that had at least one discrepancy with the nurse abstracted data and the proportion of subjects with 0, 1, 2 and 3 or more discrepancies within each survey year.
Results: For the 430 survey respondents, the average age was 59.5 years (SD 11.7) with a range of 29 to 94. The mean time between diagnosis and the year 1 follow up survey was 13.5 months, with an average of 61.2 months between diagnosis and the year 5 survey. The respondents were 97% white, 100% female, and 53.5% had a bachelor’s degree or higher. The self-reported receipt of chemotherapy had substantial agreement across all 5 follow up surveys with the nurse abstracted treatment data from the medical record with kappa values ranging from 0.70 (0.63 to 0.76) to 0.64 (0.57 to 0.71). For subjects in the congruent sub cohort (N=125, 120, 122, 121, and 121 subjects across the 5 survey years, respectively), self reported use of specific chemotherapy regimens were reported with an average concordance of 90% across the 5 annual surveys, however only 23% had perfect agreement with nurse abstracted data. The average number of discrepant responses provided by subjects was 1.2, with at least 12% of subjects reporting 3 or more erroneous responses for the specific chemotherapy regimens each survey year.
Discussion: This study supports previous findings that self-reported chemotherapy usage may be utilized when resources are unavailable for medical record abstraction, but may have less utility when analyzing specific chemotherapy regimens.
Citation Format: Nicole L. Larson, Kathryn J. Ruddy, Feven Abraha, Denise M. Herman, Fergus J. Couch, Janet E. Olson. Accuracy of self reported chemotherapy usage in annual follow up surveys for a breast cancer registry [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 748.
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16
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Yadav S, Boddicker NJ, Na J, Polley EC, Hu C, Hart SN, Gnanaolivu RD, Larson N, Holtegaard S, Huang H, Dunn CA, Teras LR, Patel AV, Lacey JV, Neuhausen SL, Martinez E, Haiman C, Chen F, Ruddy KJ, Olson JE, John EM, Kurian AW, Sandler DP, O'Brien KM, Taylor JA, Weinberg CR, Anton-Culver H, Ziogas A, Zirpoli G, Goldgar DE, Palmer JR, Domchek SM, Weitzel JN, Nathanson KL, Kraft P, Couch FJ. Contralateral Breast Cancer Risk Among Carriers of Germline Pathogenic Variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2. J Clin Oncol 2023; 41:1703-1713. [PMID: 36623243 PMCID: PMC10022863 DOI: 10.1200/jco.22.01239] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 10/03/2022] [Accepted: 11/21/2022] [Indexed: 01/11/2023] Open
Abstract
PURPOSE To estimate the risk of contralateral breast cancer (CBC) among women with germline pathogenic variants (PVs) in ATM, BRCA1, BRCA2, CHEK2, and PALB2. METHODS The study population included 15,104 prospectively followed women within the CARRIERS study treated with ipsilateral surgery for invasive breast cancer. The risk of CBC was estimated for PV carriers in each gene compared with women without PVs in a multivariate proportional hazard regression analysis accounting for the competing risk of death and adjusting for patient and tumor characteristics. The primary analyses focused on the overall cohort and on women from the general population. Secondary analyses examined associations by race/ethnicity, age at primary breast cancer diagnosis, menopausal status, and tumor estrogen receptor (ER) status. RESULTS Germline BRCA1, BRCA2, and CHEK2 PV carriers with breast cancer were at significantly elevated risk (hazard ratio > 1.9) of CBC, whereas only the PALB2 PV carriers with ER-negative breast cancer had elevated risks (hazard ratio, 2.9). By contrast, ATM PV carriers did not have significantly increased CBC risks. African American PV carriers had similarly elevated risks of CBC as non-Hispanic White PV carriers. Among premenopausal women, the 10-year cumulative incidence of CBC was estimated to be 33% for BRCA1, 27% for BRCA2, and 13% for CHEK2 PV carriers with breast cancer and 35% for PALB2 PV carriers with ER-negative breast cancer. The 10-year cumulative incidence of CBC among postmenopausal PV carriers was 12% for BRCA1, 9% for BRCA2, and 4% for CHEK2. CONCLUSION Women diagnosed with breast cancer and known to carry germline PVs in BRCA1, BRCA2, CHEK2, or PALB2 are at substantially increased risk of CBC and may benefit from enhanced surveillance and risk reduction strategies.
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Affiliation(s)
| | | | - Jie Na
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Eric C. Polley
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Steven N. Hart
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | - Nicole Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Susan Holtegaard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Huaizhi Huang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN
| | - Carolyn A. Dunn
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Atlanta, GA
| | | | | | - Elena Martinez
- Department of Family Medicine and Public Health, University of California, San Diego, CA
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Fei Chen
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Esther M. John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
- Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Allison W. Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
- Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Dale P. Sandler
- National Institute of Environmental Health Sciences, Durham, NC
| | | | - Jack A. Taylor
- National Institute of Environmental Health Sciences, Durham, NC
| | | | | | | | - Gary Zirpoli
- Slone Epidemiology Center at Boston University, Boston, MA
| | | | | | - Susan M. Domchek
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Katherine L. Nathanson
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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17
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Manemann SM, Bielinski SJ, Moser ED, St Sauver JL, Takahashi PY, Roger VL, Olson JE, Chamberlain AM, Remaley AT, Decker PA, Killian JM, Larson NB. Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record-Based Population Cohort Study. J Am Heart Assoc 2023; 12:e027639. [PMID: 36870945 PMCID: PMC10111433 DOI: 10.1161/jaha.122.027639] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Background Larger within-patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record-based population cohort and assessed associations with incident CVD. Methods and Results We identified all individuals ≥40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD-free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06-1.37]). Results were similar for low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Conclusions In a large electronic health record-based population cohort, high variability in total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility.
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Affiliation(s)
| | | | - Ethan D Moser
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | | | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Medicine Mayo Clinic Rochester MN
| | - Véronique L Roger
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN.,Department of Cardiovascular Medicine Mayo Clinic Rochester MN.,Epidemiology and Community Health Branch National Institutes of Health Bethesda MD
| | - Janet E Olson
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Alanna M Chamberlain
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN.,Department of Cardiovascular Medicine Mayo Clinic Rochester MN
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD
| | - Paul A Decker
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Jill M Killian
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
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18
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Basappa SN, Finney Rutten LJ, Hruska CB, Olson JE, Jacobson DJ, Rhodes DJ. Breast Cancer Mode of Detection in a Population-Based Cohort. Mayo Clin Proc 2023; 98:278-289. [PMID: 36737116 PMCID: PMC9907001 DOI: 10.1016/j.mayocp.2022.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 09/01/2022] [Accepted: 10/07/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To evaluate how breast cancers come to clinical attention (mode of detection [MOD]) in a population-based cohort, determine the relative frequency of different MODs, and characterize patient and tumor characteristics associated with MOD. PATIENTS AND METHODS We used the Rochester Epidemiology Project to identify women ages 40 to 75 years with a first-time diagnosis of breast cancer from May 9, 2017, to May 9, 2019 (n=500) in a 9-county region in Minnesota. We conducted a retrospective medical record review to ascertain the relative frequency of MODs, evaluating differences between screening mammography vs all other MODs by breast density and cancer characteristics. Multiple logistic regression was conducted to examine the likelihood of MOD for breast density and stage of disease. RESULTS In our population-based cohort, 162 of 500 breast cancers (32.4%) were detected by MODs other than screening mammography, including 124 (24.8%) self-detected cancers. Compared with women with mammography-detected cancers, those with MODs other than screening mammography were more frequently younger than 50 years of age (P=.004) and had higher-grade tumors (P=.007), higher number of positive lymph nodes (P<.001), and larger tumor size (P<.001). Relative to women with mammography-detected cancers, those with MODs other than screening mammography were more likely to have dense breasts (odds ratio, 1.87; 95% CI, 1.20 to 2.92; P=.006) and advanced cancer at diagnosis (odds ratio, 3.58; 95% CI, 2.29 to 5.58; P<.001). CONCLUSION One-third of all breast cancers in this population were detected by MODs other than screening mammography. Increased likelihood of nonmammographic MODs was observed among women with dense breasts and advanced cancer.
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Affiliation(s)
- Susanna N Basappa
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
| | - Lila J Finney Rutten
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Carrie B Hruska
- Division of Medical Physics, Department of Radiology, Mayo Clinic, Rochester, MN
| | - Janet E Olson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Debra J Jacobson
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Deborah J Rhodes
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN; Department of Internal Medicine, Yale New Haven Health, New Haven, CT.
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Huang H, Couch RE, LaDuca H, Yadav S, Polley EC, Boddicker NJ, Na J, Gnanaolivu RD, Goldgar DE, Pesaran T, Hart SN, Dolinsky JS, Palmer JR, Teras L, Patel AV, Ruddy KJ, Olson JE, Vachon CM, Kraft P, Yao S, Trentham-Dietz A, Nathanson KL, Weitzel JN, Domchek SM, Couch FJ, Hu C. Abstract A003: Risks of ductal carcinoma in situ of the breast associated with pathogenic variants in cancer predisposition genes. Cancer Prev Res (Phila) 2022. [DOI: 10.1158/1940-6215.dcis22-a003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Abstract
Introduction: The relationship between germline pathogenic variants (PVs) in cancer predisposition genes and ductal carcinoma in situ (DCIS) is not well established. The objective of this study is to determine the risks of DCIS and contralateral breast cancer among women with DCIS associated with germline PVs in cancer predisposition genes. Methods: Associations between pathogenic variants in 11 cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MSH6, PALB2, RAD51C, and RAD51D) and DCIS were determined in case control analyses of a population-based cohort of 3876 women with DCIS and age-matched unaffected women, and in a clinical cohort of 9887 DCIS cases undergoing clinical genetic testing at Ambry Genetics and unaffected reference controls. The incidence of contralateral breast cancer risk in BRCA1, BRCA2, and PALB2 PV carriers with DCIS was also evaluated in a time-to-event analysis. Results: The mean age at diagnosis of DCIS was 50 years in the clinical testing cohort and 59 years in the population-based cohort. The frequency of PVs in 11 predisposition genes among DCIS cases was 6.9% in the clinical testing cohort and 4.9% in the population-based cohort. PVs in ATM, BRCA1, BRCA2, CHEK2, MSH6, PALB2, and RAD51D were associated with significantly increased risks (Odds Ratio (OR) >2) of DCIS in the clinical testing cohort whereas only PVs in BRCA1, CHEK2, PALB2, and ATM were associated with significantly increased risks of DCIS in the population-based cohort. The cumulative incidence of contralateral breast cancer among BRCA1, BRCA2, and PALB2 PV carriers with DCIS was 11% in 5-years and 20% in 15-years. Conclusions: This study provides new insights into PVs that predispose to DCIS. In addition, it establishes an increased risk of contralateral breast cancer risk among women with DCIS who are carriers of PVs in BRCA1, BRCA2, or PALB2. These findings will guide surveillance and risk reducing strategies in germline PV carriers with DCIS.
Citation Format: Huaizhi Huang, Ronan E. Couch, Holly LaDuca, Siddhartha Yadav, Eric C. Polley, Nicholas J. Boddicker, Jie Na, Rohan D. Gnanaolivu, David E. Goldgar, Tina Pesaran, Steven N. Hart, Jill S. Dolinsky, Julie R. Palmer, Lauren Teras, Alpa V. Patel, Kathryn J. Ruddy, Janet E. Olson, Celine M. Vachon, Peter Kraft, Song Yao, Amy Trentham-Dietz, Katherine L. Nathanson, Jeffrey N. Weitzel, Susan M. Domchek, Fergus J. Couch, Chunling Hu. Risks of ductal carcinoma in situ of the breast associated with pathogenic variants in cancer predisposition genes [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr A003.
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Affiliation(s)
| | | | | | | | | | | | - Jie Na
- 1Mayo Clinic, Rochester, MN,
| | | | | | | | | | | | | | | | | | | | | | | | | | - Song Yao
- 8Roswell Park Comprehensive Cancer Center, Buffalo, NY,
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20
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Parikh SA, Achenbach SJ, Rabe KG, Norman AD, Boddicker NJ, Olson JE, Call TG, Cerhan JR, Vachon CM, Kay NE, Braggio E, Hanson CA, Slager SL, Shanafelt TD. The risk of coronavirus disease 2019 (COVID-19) among individuals with monoclonal B cell lymphocytosis. Blood Cancer J 2022; 12:159. [PMID: 36418344 PMCID: PMC9684458 DOI: 10.1038/s41408-022-00754-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
| | - Sara J Achenbach
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Kari G Rabe
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Aaron D Norman
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | | | - Janet E Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - James R Cerhan
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Curtis A Hanson
- Department of Laboratory Medicine and Pathology, Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | - Susan L Slager
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Tait D Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
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21
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Slager SL, Parikh SA, Achenbach SJ, Norman AD, Rabe KG, Boddicker NJ, Olson JE, Kleinstern G, Lesnick CE, Call TG, Cerhan JR, Vachon CM, Kay NE, Braggio E, Hanson CA, Shanafelt TD. Progression and survival of MBL: a screening study of 10 139 individuals. Blood 2022; 140:1702-1709. [PMID: 35969843 PMCID: PMC9837414 DOI: 10.1182/blood.2022016279] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/23/2022] [Indexed: 01/21/2023] Open
Abstract
Monoclonal B-cell lymphocytosis (MBL) is a common hematological premalignant condition that is understudied in screening cohorts. MBL can be classified into low-count (LC) and high-count (HC) types based on the size of the B-cell clone. Using the Mayo Clinic Biobank, we screened for MBL and evaluated its association with future hematologic malignancy and overall survival (OS). We had a two-stage study design including discovery and validation cohorts. We screened for MBL using an eight-color flow-cytometry assay. Medical records were abstracted for hematological cancers and death. We used Cox regression to evaluate associations and estimate hazard ratios and 95% confidence intervals (CIs), adjusting for age and sex. We identified 1712 (17%) individuals with MBL (95% LC-MBL), and the median follow-up time for OS was 34.4 months with 621 individuals who died. We did not observe an association with OS among individuals with LC-MBL (P = .78) but did among HC-MBL (hazard ratio, 1.8; 95% CI, 1.1-3.1; P = .03). Among the discovery cohort with a median of 10.0 years follow-up, 31 individuals developed hematological cancers with two-thirds being lymphoid malignancies. MBL was associated with 3.6-fold risk of hematological cancer compared to controls (95% CI, 1.7-7.7; P < .001) and 7.7-fold increased risk for lymphoid malignancies (95% CI:3.1-19.2; P < .001). LC-MBL was associated with 4.3-fold risk of lymphoid malignancies (95% CI, 1.4-12.7; P = .009); HC-MBL had a 74-fold increased risk (95% CI, 22-246; P < .001). In this large screening cohort, we observed similar survival among individuals with and without LC-MBL, yet individuals with LC-MBL have a fourfold increased risk of lymphoid malignancies. Accumulating evidence indicates that there are clinical consequences to LC-MBL, a condition that affects 8 to 10 million adults in the United States.
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Affiliation(s)
- Susan L. Slager
- Division of Hematology, Mayo Clinic, Rochester, MN
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | | | - Sara J. Achenbach
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | | | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | | | | | - Geffen Kleinstern
- Division of Computational Biology, Mayo Clinic, Rochester, MN
- School of Public Health, University of Haifa, Haifa, Israel
| | | | | | | | | | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Curtis A. Hanson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Tait D. Shanafelt
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
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22
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Marell PS, Vierkant RA, Olson JE, Herrmann J, Larson N, LeBrasseur NK, D’Andre SD, Cheville AL, Barksdale T, Loprinzi CL, Couch F, Ruddy KJ. Factors Associated With Physical Activity Levels in Patients With Breast Cancer. Oncologist 2022; 27:e811-e814. [PMID: 35946834 PMCID: PMC9526500 DOI: 10.1093/oncolo/oyac159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/01/2022] [Indexed: 01/21/2023] Open
Abstract
Physical activity (PA) is associated with improvement in breast cancer treatment-related symptoms and survival, yet most breast cancer survivors do not meet national PA guidelines. This study aimed to identify characteristics of participants that were associated with an increased likelihood of meeting PA guidelines. Adults with breast cancer seen at Mayo Clinic (Rochester, MN) were surveyed regarding their PA participation, and those who self-reported at least 150 minutes of moderate and/or strenuous aerobic PA weekly on average were considered to be "meeting guidelines". Three thousand participants returned PA data. Younger age, completion of the survey 7-12 years after diagnosis, absence of recurrence, no bilateral mastectomy, absence of metastatic disease, and lower BMI at the time of survey completion were associated with PA participation (P < .05 in univariate and multivariate analyses). Findings were similar when a threshold of 90 minutes was applied. These results may inform the development of targeted PA-facilitating interventions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Fergus Couch
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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23
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Kara F, Lohse CM, Castillo AM, Tosakulwong N, Lesnick TG, Jack CR, Petersen RC, Olson JE, Couch FJ, Ruddy KJ, Kantarci K, Mielke MM. Association of raloxifene and tamoxifen therapy with cognitive performance, odds of mild cognitive impairment, and brain MRI markers of neurodegeneration. Cancer Med 2022; 12:2805-2817. [PMID: 36040183 PMCID: PMC9939086 DOI: 10.1002/cam4.5175] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 11/11/2022] Open
Abstract
The aim of this cross-sectional study was to examine whether a history of selective estrogen receptor modifiers (SERMs), tamoxifen and raloxifene, use was associated with cognitive performance, odds of mild cognitive impairment (MCI), or magnetic resonance imaging (MRI) markers of neurodegeneration associated with Alzheimer's disease. We included women with prior history of breast cancer or no prior history of any cancer at enrollment in the Mayo Clinic Study of Aging (MCSA). This information was abstracted using the Rochester Epidemiology Project medical-linkage system. Logistic regression was used to examine associations of SERMs with odds of MCI. Linear regression models were used to examine associations of SERMs with cognitive z-scores (Memory, Executive Function, Language, Visuospatial Skills, Global Cognition), and MRI markers. Among 2840 women aged 50 and older in the MCSA, 151 had a history of breast cancer, and 42 (28%) of these had a history of tamoxifen treatment. A total of 2235 women had no prior history of any cancer, and 76 (3%) of these had a history of raloxifene use. No significant associations between tamoxifen use and cognition, or odds of MCI were observed among women with a history of breast cancer after adjusting for confounders. Similarly, raloxifene use was not significantly associated with cognition, or odds of MCI in women without a history of cancer after adjusting for confounders. We did not find significant associations between the use of either SERM and MRI markers. Use of tamoxifen or raloxifene was not significantly associated with cognition in postmenopausal women.
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Affiliation(s)
- Firat Kara
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Christine M. Lohse
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Anna M. Castillo
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | - Timothy G. Lesnick
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | | | - Janet E. Olson
- Health Sciences ResearchMayo ClinicRochesterMinnesotaUSA
| | - Fergus J. Couch
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | | | | | - Michelle M. Mielke
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA,Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
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24
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Karam D, Vierkant RA, Ehlers S, Freedman RA, Austin J, Khanani S, Larson NL, Loprinzi CL, Couch F, Olson JE, Ruddy KJ. Surveillance mammography in older breast cancer survivors: Current practice patterns and patient perceptions. J Geriatr Oncol 2022; 13:1038-1042. [PMID: 35853817 DOI: 10.1016/j.jgo.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/31/2022] [Accepted: 07/11/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Although the benefits of surveillance mammography for older breast cancer survivors have not been quantified prospectively, it is unlikely that mammography provides substantial benefit (and possible that mammography is harmful) to women with limited life expectancy and a low risk for in-breast cancer events. MATERIALS AND METHODS We identified 1268 women aged 77 and older with a history of Stage I-III breast cancer, who did not undergo bilateral mastectomy, were diagnosed with cancer at least three years prior to study entry, and who had consented to be surveyed as part of the Mayo Clinic Breast Disease Registry. We mailed them a one-time survey asking about their experiences with surveillance mammography. Women with metastatic disease were excluded. The primary endpoint was whether or not women reported at least one mammogram since breast cancer surgery. RESULTS Eight hundred forty-six of 1268 (67%) returned the survey, 734 of whom were eligible for analysis. The median age at the time of survey was 82, and the median time since cancer diagnosis was 12 years. Ninety-three percent reported having had at least one mammogram since their initial breast cancer surgery. Seventy-nine percent reported that they had surveillance mammography annually over the prior three years, including 76% of the 491 aged 80+ and 64% of the 189 aged 85 + . DISCUSSION Most older breast cancer survivors who have residual breast tissue are undergoing annual mammograms. Additional educational materials may be beneficial for patients and clinicians to better individualize plans for surveillance mammography in older breast cancer survivors.
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Affiliation(s)
- Dhauna Karam
- Department of Community Internal Medicine, Mayo Clinic Health System at Austin and Albert Lea, Albert Lea, MN 56007, USA.
| | - Robert A Vierkant
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN 55905, USA
| | - Shawna Ehlers
- Division of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rachel A Freedman
- Division of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Jessica Austin
- Division of Epidemiology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Sadia Khanani
- Division of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Nicole L Larson
- Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Fergus Couch
- Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Janet E Olson
- Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Kathryn J Ruddy
- Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
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25
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Storandt MH, Durani U, Stan D, Larson N, Loprinzi C, Couch F, Olson JE, Khera N, Ruddy KJ. Abstract 1012: Financial hardship in breast cancer survivors. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-1012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Medical financial hardship, encompassing material, behavioral, and psychologic domains, is becoming an increasingly common consequence of illness in cancer patients. Identifying at-risk patients is the first step to develop proactive approaches to mitigate this problem. To try and address this need, Mayo Clinic Breast Disease Registry (MCBDR) is prospectively collecting data about financial concerns in addition to the usual sociodemographic and clinical information.
Methods: We used data from Mayo Clinic Breast Disease Registry, a prospective cohort of consenting patients seen at Mayo Clinic Rochester within one year of initial breast cancer diagnosis. Participants completed baseline and annual follow-up surveys rating their financial concerns on a linear analogue scale from 0 (“none”) to 10 (“constant concerns”). We compared patient-reported financial concern at baseline to that on each patient’s most recent survey, with worsening concerns defined as a 1+-point increase. Logistic regression evaluated for predictors of worsening financial concerns.
Results: 1,957 participants responded to financial concern questions on a baseline and at least one follow-up survey between 2015 and 2020. Mean age was 58.5 years (SD 12.5), and mean time between diagnosis and the most recent follow-up was 25.6 months (SD 16.2). 357 (18.2%) reported worsening financial concerns. Only lower baseline financial status was associated with a greater likelihood of worsening financial concerns (see Table). Conclusions: More than one in seven breast cancer survivors develop worsening financial concerns within 5-years of diagnosis, and those with less financial security at baseline appear to be most vulnerable.
Funding: Breast Cancer Research Foundation (CLL) and NR015259 (KJR).
Patient and tumor characteristics, compared by whether financial status worsened over time Full Cohort (n=1957) Worsening, ≥ 1-point change (n=357) Stable/Improved (n=1600) p value Full Cohort (n=1957) Worsening, ≥ 1-point change (n=357) Stable/Improved (n=1600) p value Age at diagnosis II or III 502 (25.7%) 98 (27.5%) 404 (25.3%) 0.239 ≤ 50 546 (27.9%) 105 (29.4%) 441 (27.6%) IV 67 (3.4%) 17 (4.8%) 50 (3.1%) 0.086 51-64 757 (38.7%) 136 (38.1%) 621 (38.8%) 0.562 Unknown 351 (17.9%) 65 (18.2%) 286 (17.9%) 0.536 ≥65 654 (33.4%) 116 (32.5%) 538 (33.6%) 0.506 ER and/or PR positive Race No/Unknown 482 (24.6%) 92 (25.8%) 390 (24.4%) White 1863 (95.2%) 337 (94.4%) 1526 (95.4%) Yes 1475 (75.4%) 265 (74.2%) 1210 (75.6%) 0.580 Non-white 24 (1.2%) 5 (1.4%) 19 (1.2%) 0.729 Her2 positive Other/Unknown/Choose not to respond 70 (3.6%) 15 (4.2%) 55 (3.4%) 0.478 No/Unknown 1746 (89.2%) 314 (88.0%) 1432 (89.5%) Educational status Yes 176 (9.0%) 37 (10.4%) 139 (8.7%) 0.321 Less than bachelor’s degree 880 (45.0%) 168 (47.1%) 712 (44.5%) Borderline 35 (1.8%) 6 (1.7%) 29 (1.8%) 0.898 Bachelor's degree or higher 1065 (54.4%) 187 (52.4%) 878 (54.9%) 0.384 Radiation Unknown 12 (0.6%) 2 (0.6%) 10 (0.6%) 0.832 No/Unknown 781 (39.9%) 140 (39.2%) 641 (40.1%) Financial status near time of diagnosis Yes 1176 (60.1%) 217 (60.8%) 959 (59.9%) 0.768 Pay bills, money for special things 1412 (72.2%) 244 (68.3%) 1168 (73.0%) Chemotherapy/targeted therapy Pay bills, no money for special things 367 (18.8%) 80 (22.4%) 287 (17.9%) 0.046 No/Unknown 1264 (64.6%) 221 (61.9%) 1043 (65.2%) Pay bills by making cuts 102 (5.2%) 19 (5.3%) 83 (5.2%) 0.729 Yes 693 (35.4%) 136 (38.1%) 557 (34.8%) 0.241 Unable to pay bills 56 (2.9%) 10 (2.8%) 46 (2.9%) 0.911 Hormone/endocrine therapy Unknown 20 (1.0%) 4 (1.1%) 16 (1.0%) 0.750 No/Unknown 710 (36.3%) 141 (39.5%) 569 (35.6%) Employment status at time of diagnosis Yes 1247 (63.7%) 216 (60.5%) 1031 (64.4%) 0.163 Employed full-time 462 (23.6%) 83 (23.2%) 379 (23.7%) Surgery type Employed part-time/unemployed/retired 525 (26.8%) 92 (25.8%) 433 (27.1%) 0.856 Lumpectomy 846 (43.2%) 145 (40.6%) 701 (43.8%) Not available 970 (49.6%) 182 (51.0%) 788 (49.3%) 0.716 Mastectomy 903 (46.1%) 165 (46.2%) 738 (46.1%) 0.535 Stage at time of diagnosis None/Unknown 208 (10.6%) 47 (13.2%) 161 (10.1%) 0.069 0 or I 1037 (53.0%) 177 (49.6%) 860 (53.8%)
Citation Format: Michael H. Storandt, Urshila Durani, Daniela Stan, Nicole Larson, Charles Loprinzi, Fergus Couch, Janet E. Olson, Nandita Khera, Kathryn J. Ruddy. Financial hardship in breast cancer survivors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1012.
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Affiliation(s)
| | - Urshila Durani
- 2Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Daniela Stan
- 2Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Nicole Larson
- 2Mayo Clinic College of Medicine and Science, Rochester, MN
| | | | - Fergus Couch
- 2Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Janet E. Olson
- 2Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Nandita Khera
- 3Mayo Clinic College of Medicine and Science, Phoenix, AZ
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Marell PS, Olson JE, Herrmann J, Larson NL, LeBrasseur NK, D'Andre SD, Cheville AL, Barksdale T, Loprinzi CL, Couch FJ, Ruddy KJ. Abstract 5868: Factors associated with exercise participation in patients with breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-5868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND: The American Cancer Society recommends at least 150 minutes of moderate and/or strenuous exercise and muscle-strengthening activities each week for adults. Exercise has been associated with decreased breast cancer mortality and adverse symptoms. This study’s purpose is to understand prevalence and predictors of inadequate aerobic exercise in patients recently diagnosed with breast cancer to inform interventions to increase exercise participation.
METHODS: Patients seen at least once at Mayo Clinic Rochester were prospectively enrolled within one year of an initial breast cancer diagnosis in the Mayo Clinic Breast Disease Registry after providing informed consent. This analysis includes those who completed a baseline survey with self-reported exercise data using the Godin Leisure-Time Exercise Questionnaire. This longitudinal cohort study was approved by the Mayo Clinic institutional review board.
RESULTS: 1,738 participants reported their usual weekly quantity of moderate and strenuous exercise an average of 95 days (SD 71 days, range 0-365) after diagnosis. Table 1 displays participant characteristics overall and by whether participants reported at least 150 minutes of moderate and/or strenuous activity weekly (“met guidelines”) or not (“did not meet guidelines”). Overall, 39% of participants met guidelines, including 56% of those aged 18-39 years, 40% of those aged 40-69 years, and 27% of those aged 70+ years.
CONCLUSION: Older age was associated with less likelihood of meeting exercise guidelines (all age groups vs 70+, p < 0.05). A more diverse cohort will be needed to evaluate differences by gender and race/ethnicity. There did not appear to be any obvious impact on exercise level by time since diagnosis (during the first year after diagnosis) or educational status, though substantial missing data limit conclusions related to the latter. Additional research is needed to assess exercise levels later in survivorship and the impact of various treatment modalities on exercise habits
Table 1. Patient and tumor characteristics
Citation Format: Paulina S. Marell, Janet E. Olson, Joerg Herrmann, Nicole L. Larson, Nathan K. LeBrasseur, Stacy D. D'Andre, Andrea L. Cheville, Toure Barksdale, Charles L. Loprinzi, Fergus J. Couch, Kathryn J. Ruddy. Factors associated with exercise participation in patients with breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5868.
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Ansari AN, Achenbach SJ, Parikh SA, Kleinstern G, Norman AD, Rabe KG, Lesnick CE, Call TG, Olson JE, Cerhan JR, Kay NE, Vachon CM, Braggio E, Hanson CA, Shanafelt TD, Baum CL, Slager SL. Abstract 5256: Incidence of squamous cell carcinoma (SCC) in a large screening cohort of monoclonal B-cell lymphocytosis (MBL). Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-5256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
MBL is a common pre-malignant condition characterized by circulating clonal B-cells with an absolute B-cell count <5x109/L and no lymphadenopathy, organomegaly, or cytopenias. MBL is the precursor to CLL. The incidence of cutaneous SCC in CLL is significantly higher compared to controls. The incidence of SCC in MBLs has not yet been determined. Study participants from the Mayo Clinic Biobank who had no prior history of hematologic malignancy, were 40 years or older, and were Olmsted County residents completed a health questionnaire and provided blood samples between 7/2009 and 12/2020. Stored peripheral blood mononuclear cells were screened for MBL using flow cytometry. We defined three MBL immunophenotypes: CLL-like MBL (CD5+, CD20dim), atypical MBL (CD5+, CD20+), and non-CLL-like MBL (CD5-, CD20+). MBL individuals were also classified by cell count into low-count MBL (LC-MBL) and high-count MBL (HC-MBL), with HC-MBL having a percent clonal B-cell count ≥85%. Data on newly diagnosed SCC was abstracted from the medical records, and prior history of skin cancer before sample collection was ascertained from patient questionnaires. Individuals were followed from sample date to the earliest of SCC, death, loss to follow-up, progression, or 12/31/2020. Cumulative SCC incidence was adjusted for competing risk of death. Cox regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CIs) adjusted for age and sex. A total of 5,470 participants were screened for MBL and included 949 (17%) with LC-MBL, 63 (1%) with HC-MBL, and 4,458 (81%) controls (negative for MBL). Individuals with HC-MBL (median age 75 years) or LC-MBL (median age 73 years) were significantly older (P<0.001) than controls (median age 66 years). There were 41 (65%) males among HC-MBL, 447 (47%) among LC-MBL, and 1,551 (35%) among controls. Prior skin cancer history was highest among HC-MBLs (N=17, 27%) or LC-MBLs (N=236, 25%) compared to controls (N=767, 17%). After a median follow-up of 18 months (range 0-138), 154 of the 5,470 individuals were identified to have incident SCC following MBL screening. At least one SCC was observed in 3 individuals with HC-MBL, 33 individuals with LC-MBL, and 118 controls. The 5- and 10-year cumulative incidence of SCC in individuals with MBLs was 7% and 16%, respectively; control estimates were 4% and 8%, respectively. However, after adjusting for age and sex, we observed no evidence of an association between MBL and risk of incident SCC (HR=0.95, CI=0.65-1.40, P=0.80), nor when we stratified individuals by age or by sex (all P>0.05). In the largest MBL screening cohort to date, individuals with MBL do not have an increased risk of incident SCC compared to controls. In contrast to individuals with CLL, these individuals with screening MBL do not need increased dermatologic examination for skin cancer, which is important given the high prevalence of MBL (18% of the population above age 40).
Citation Format: Ahmed Nadeem Ansari, Sara J. Achenbach, Sameer A. Parikh, Geffen Kleinstern, Aaron D. Norman, Kari G. Rabe, Connie E. Lesnick, Timothy G. Call, Janet E. Olson, James R. Cerhan, Neil E. Kay, Celine M. Vachon, Esteban Braggio, Curtis A. Hanson, Tait D. Shanafelt, Christian L. Baum, Susan L. Slager. Incidence of squamous cell carcinoma (SCC) in a large screening cohort of monoclonal B-cell lymphocytosis (MBL) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5256.
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Wang L, Scherer SE, Bielinski SJ, Muzny DM, Jones LA, Black JL, Moyer AM, Giri J, Sharp RR, Matey ET, Wright JA, Oyen LJ, Nicholson WT, Wiepert M, Sullard T, Curry TB, Vitek CRR, McAllister TM, Sauver JL, Caraballo PJ, Lazaridis KN, Venner E, Qin X, Hu J, Kovar CL, Korchina V, Walker K, Doddapaneni H, Wu TJ, Raj R, Denson S, Liu W, Chandanavelli G, Zhang L, Wang Q, Kalra D, Karow MB, Harris KJ, Sicotte H, Peterson SE, Barthel AE, Moore BE, Skierka JM, Kluge ML, Kotzer KE, Kloke K, Vander Pol JM, Marker H, Sutton JA, Kekic A, Ebenhoh A, Bierle DM, Schuh MJ, Grilli C, Erickson S, Umbreit A, Ward L, Crosby S, Nelson EA, Levey S, Elliott M, Peters SG, Pereira N, Frye M, Shamoun F, Goetz MP, Kullo IJ, Wermers R, Anderson JA, Formea CM, El Melik RM, Zeuli JD, Herges JR, Krieger CA, Hoel RW, Taraba JL, Thomas SR, Absah I, Bernard ME, Fink SR, Gossard A, Grubbs PL, Jacobson TM, Takahashi P, Zehe SC, Buckles S, Bumgardner M, Gallagher C, Fee-Schroeder K, Nicholas NR, Powers ML, Ragab AK, Richardson DM, Stai A, Wilson J, Pacyna JE, Olson JE, Sutton EJ, Beck AT, Horrow C, Kalari KR, Larson NB, Liu H, Wang L, Lopes GS, Borah BJ, Freimuth RR, Zhu Y, Jacobson DJ, Hathcock MA, Armasu SM, McGree ME, Jiang R, Koep TH, Ross JL, Hilden M, Bosse K, Ramey B, Searcy I, Boerwinkle E, Gibbs RA, Weinshilboum RM. Implementation of preemptive DNA sequence-based pharmacogenomics testing across a large academic medical center: The Mayo-Baylor RIGHT 10K Study. Genet Med 2022; 24:1062-1072. [PMID: 35331649 PMCID: PMC9272414 DOI: 10.1016/j.gim.2022.01.022] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE The Mayo-Baylor RIGHT 10K Study enabled preemptive, sequence-based pharmacogenomics (PGx)-driven drug prescribing practices in routine clinical care within a large cohort. We also generated the tools and resources necessary for clinical PGx implementation and identified challenges that need to be overcome. Furthermore, we measured the frequency of both common genetic variation for which clinical guidelines already exist and rare variation that could be detected by DNA sequencing, rather than genotyping. METHODS Targeted oligonucleotide-capture sequencing of 77 pharmacogenes was performed using DNA from 10,077 consented Mayo Clinic Biobank volunteers. The resulting predicted drug response-related phenotypes for 13 genes, including CYP2D6 and HLA, affecting 21 drug-gene pairs, were deposited preemptively in the Mayo electronic health record. RESULTS For the 13 pharmacogenes of interest, the genomes of 79% of participants carried clinically actionable variants in 3 or more genes, and DNA sequencing identified an average of 3.3 additional conservatively predicted deleterious variants that would not have been evident using genotyping. CONCLUSION Implementation of preemptive rather than reactive and sequence-based rather than genotype-based PGx prescribing revealed nearly universal patient applicability and required integrated institution-wide resources to fully realize individualized drug therapy and to show more efficient use of health care resources.
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Affiliation(s)
- Liewei Wang
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Clinical Pharmacology, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN
| | - Steven E. Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Donna M. Muzny
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Leila A. Jones
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - John Logan Black
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ann M. Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Jyothsna Giri
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Wayne T. Nicholson
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Mathieu Wiepert
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Terri Sullard
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Timothy B. Curry
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | | | | | - Jennifer L. Sauver
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Pedro J. Caraballo
- Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Konstantinos N. Lazaridis
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Eric Venner
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Xiang Qin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Jianhong Hu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Christie L. Kovar
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Viktoriya Korchina
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Kimberly Walker
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | | | - Tsung-Jung Wu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Ritika Raj
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Shawn Denson
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Wen Liu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Gauthami Chandanavelli
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Lan Zhang
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Qiaoyan Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Divya Kalra
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Mary Beth Karow
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Hugues Sicotte
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Sandra E. Peterson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Amy E. Barthel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Brenda E. Moore
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Michelle L. Kluge
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Katrina E. Kotzer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Karen Kloke
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Heather Marker
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Joseph A. Sutton
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | | | | | - Dennis M. Bierle
- Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | - Audrey Umbreit
- Department of Pharmacy, Mayo Clinic Health System, Mankato, MN
| | - Leah Ward
- Department of Pharmacy, Mayo Clinic, Jacksonville, FL
| | - Sheena Crosby
- Department of Pharmacy, Mayo Clinic, Jacksonville, FL
| | | | - Sharon Levey
- Department of Clinical Genomics, Mayo Clinic, Scottsdale, AZ
| | - Michelle Elliott
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Steve G. Peters
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Naveen Pereira
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| | - Fadi Shamoun
- Department of Cardiovascular Medicine Mayo Clinic, Phoenix, AZ
| | - Matthew P. Goetz
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN
| | | | - Robert Wermers
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | | | | | - Scott R. Thomas
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Imad Absah
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Stephanie R. Fink
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Andrea Gossard
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | - Paul Takahashi
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Susan Buckles
- Department of Public Affairs, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Melody L. Powers
- Biospecimens Accessioning and Processing Laboratory, Mayo Clinic, Rochester, MN
| | - Ahmed K. Ragab
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | | | - Anthony Stai
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Jaymi Wilson
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Joel E. Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Janet E. Olson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Erica J. Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Annika T. Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Caroline Horrow
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Krishna R. Kalari
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Nicholas B. Larson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Hongfang Liu
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Liwei Wang
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Guilherme S. Lopes
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Bijan J. Borah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN,Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Robert R. Freimuth
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Ye Zhu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Debra J. Jacobson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Matthew A. Hathcock
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Sebastian M. Armasu
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Michaela E. McGree
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Ruoxiang Jiang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX,School of Public Health, University of Texas Health Science Center at Houston, Houston, TX
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX,Corresponding Authors (), ()
| | - Richard M. Weinshilboum
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Clinical Pharmacology, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN,Corresponding Authors (), ()
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Wang X, Kapoor PM, Auer PL, Dennis J, Dunning AM, Wang Q, Lush M, Michailidou K, Bolla MK, Aronson KJ, Murphy RA, Brooks-Wilson A, Lee DG, Cordina-Duverger E, Guénel P, Truong T, Mulot C, Teras LR, Patel AV, Dossus L, Kaaks R, Hoppe R, Lo WY, Brüning T, Hamann U, Czene K, Gabrielson M, Hall P, Eriksson M, Jung A, Becher H, Couch FJ, Larson NL, Olson JE, Ruddy KJ, Giles GG, MacInnis RJ, Southey MC, Le Marchand L, Wilkens LR, Haiman CA, Olsson H, Augustinsson A, Krüger U, Wagner P, Scott C, Winham SJ, Vachon CM, Perou CM, Olshan AF, Troester MA, Hunter DJ, Eliassen HA, Tamimi RM, Brantley K, Andrulis IL, Figueroa J, Chanock SJ, Ahearn TU, García-Closas M, Evans GD, Newman WG, van Veen EM, Howell A, Wolk A, Håkansson N, Anton-Culver H, Ziogas A, Jones ME, Orr N, Schoemaker MJ, Swerdlow AJ, Kitahara CM, Linet M, Prentice RL, Easton DF, Milne RL, Kraft P, Chang-Claude J, Lindström S. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women. Sci Rep 2022; 12:6199. [PMID: 35418701 PMCID: PMC9007944 DOI: 10.1038/s41598-022-10121-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 03/11/2022] [Indexed: 02/02/2023] Open
Abstract
Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values < 5 × 10-8 as genome-wide significant, and p-values < 1 × 10-5 as suggestive. Linkage disequilibrium (LD)-based clumping was performed to identify independent candidate variants. None of the 9.7 million genetic variants tested for interactions with MHT use reached genome-wide significance. Only 213 variants, representing 18 independent loci, had p-values < 1 × 105. The strongest evidence was found for rs4674019 (p-value = 2.27 × 10-7), which showed genome-wide significant interaction (p-value = 3.8 × 10-8) with current MHT use when analysis was restricted to population-based studies only. Limiting the analyses to combined estrogen-progesterone MHT use only or to estrogen receptor (ER) positive cases did not identify any genome-wide significant evidence of interactions. In this large genome-wide SNP-MHT interaction study of breast cancer, we found no strong support for common genetic variants modifying the effect of MHT on breast cancer risk. These results suggest that common genetic variation has limited impact on the observed MHT-breast cancer risk association.
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Affiliation(s)
- Xiaoliang Wang
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University of Heidelberg, Faculty of Medicine, Heidelberg, Germany
| | - Paul L Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Michael Lush
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
- The Cyprus Institute of Neurology & Genetics, Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kristan J Aronson
- Department of Public Health Sciences, Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- BC Cancer, Cancer Control Research, Vancouver, BC, Canada
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Derrick G Lee
- BC Cancer, Cancer Control Research, Vancouver, BC, Canada
- Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS, Canada
| | - Emilie Cordina-Duverger
- Team Exposome and Heredity, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Saclay, Villejuif, France
| | - Pascal Guénel
- Team Exposome and Heredity, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Saclay, Villejuif, France
| | - Thérèse Truong
- Team Exposome and Heredity, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Saclay, Villejuif, France
| | - Claire Mulot
- INSERM UMR-S1147, Université Paris Sorbonné, Paris, France
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tÿbingen, Tÿbingen, Germany
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tÿbingen, Tÿbingen, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Nicole L Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Håkan Olsson
- Clinical Sciences, Department of Cancer Epidemiology, Lund University, Lund, Sweden
| | - Annelie Augustinsson
- Clinical Sciences, Department of Cancer Epidemiology, Lund University, Lund, Sweden
| | - Ute Krüger
- Clinical Sciences, Department of Cancer Epidemiology, Lund University, Lund, Sweden
| | - Philippe Wagner
- Clinical Sciences, Department of Cancer Epidemiology, Lund University, Lund, Sweden
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stacey J Winham
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles M Perou
- Division of Epidemiology, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Heather A Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Kristen Brantley
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Fred A. Litwin Center for Cancer Genetics, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gareth D Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Elke M van Veen
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Ireland, UK
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg (UCCH), Hamburg, Germany
| | - Sara Lindström
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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Karam DP, Vierkant RA, Ehlers S, Freedman RA, Austin J, Choudhery S, Larson N, Loprinzi C, Olson JE, Couch F, Ruddy KJ. BPI22-021: Surveillance Mammography in Elderly Breast Cancer Survivors (Project Funded by Breast Cancer Research Foundation). J Natl Compr Canc Netw 2022. [DOI: 10.6004/jnccn.2021.7167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Fu S, Thorsteinsdottir B, Zhang X, Lopes GS, Pagali SR, LeBrasseur NK, Wen A, Liu H, Rocca WA, Olson JE, Sauver JS, Sohn S. A hybrid model to identify fall occurrence from electronic health records. Int J Med Inform 2022; 162:104736. [PMID: 35316697 PMCID: PMC9448825 DOI: 10.1016/j.ijmedinf.2022.104736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 01/29/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Falls are a leading cause of unintentional injury in the elderly. Electronic health records (EHRs) offer the unique opportunity to develop models that can identify fall events. However, identifying fall events in clinical notes requires advanced natural language processing (NLP) to simultaneously address multiple issues because the word "fall" is a typical homonym. METHODS We implemented a context-aware language model, Bidirectional Encoder Representations from Transformers (BERT) to identify falls from the EHR text and further fused the BERT model into a hybrid architecture coupled with post-hoc heuristic rules to enhance the performance. The models were evaluated on real world EHR data and were compared to conventional rule-based and deep learning models (CNN and Bi-LSTM). To better understand the ability of each approach to identify falls, we further categorize fall-related concepts (i.e., risk of fall, prevention of fall, homonym) and performed a detailed error analysis. RESULTS The hybrid model achieved the highest f1-score on sentence (0.971), document (0.985), and patient (0.954) level. At the sentence level (basic data unit in the model), the hybrid model had 0.954, 1.000, 0.988, and 0.999 in sensitivity, specificity, positive predictive value, and negative predictive value, respectively. The error analysis showed that that machine learning-based approaches demonstrated higher performance than a rule-based approach in challenging cases that required contextual understanding. The context-aware language model (BERT) slightly outperformed the word embedding approach trained on Bi-LSTM. No single model yielded the best performance for all fall-related semantic categories. CONCLUSION A context-aware language model (BERT) was able to identify challenging fall events that requires context understanding in EHR free text. The hybrid model combined with post-hoc rules allowed a custom fix on the BERT outcomes and further improved the performance of fall detection.
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Affiliation(s)
- Sunyang Fu
- Department of AI and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Xin Zhang
- Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Guilherme S Lopes
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Sandeep R Pagali
- Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Nathan K LeBrasseur
- Department of Physical Medicine & Rehabilitation, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Physiology & Biomedical Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Andrew Wen
- Department of AI and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Hongfang Liu
- Department of AI and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Walter A Rocca
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Women's Health Research Center, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Jennifer St Sauver
- Department of Quantitative Health Sciences, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Sunghwan Sohn
- Department of AI and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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Fu S, Lopes GS, Pagali SR, Thorsteinsdottir B, LeBrasseur NK, Wen A, Liu H, Rocca WA, Olson JE, St. Sauver J, Sohn S. Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records. J Gerontol A Biol Sci Med Sci 2022; 77:524-530. [PMID: 35239951 PMCID: PMC8893184 DOI: 10.1093/gerona/glaa275] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) has the capability to process raw text in electronic health records (EHRs) and determine the meaning of the information. We developed and validated NLP algorithms to automatically identify the occurrence of delirium from EHRs. METHODS This study used a randomly selected cohort from the population-based Mayo Clinic Biobank (N = 300, age ≥65). We adopted the standardized evidence-based framework confusion assessment method (CAM) to develop and evaluate NLP algorithms to identify the occurrence of delirium using clinical notes in EHRs. Two NLP algorithms were developed based on CAM criteria: one based on the original CAM (NLP-CAM; delirium vs no delirium) and another based on our modified CAM (NLP-mCAM; definite, possible, and no delirium). The sensitivity, specificity, and accuracy were used for concordance in delirium status between NLP algorithms and manual chart review as the gold standard. The prevalence of delirium cases was examined using International Classification of Diseases, 9th Revision (ICD-9), NLP-CAM, and NLP-mCAM. RESULTS NLP-CAM demonstrated a sensitivity, specificity, and accuracy of 0.919, 1.000, and 0.967, respectively. NLP-mCAM demonstrated sensitivity, specificity, and accuracy of 0.827, 0.913, and 0.827, respectively. The prevalence analysis of delirium showed that the NLP-CAM algorithm identified 12 651 (9.4%) delirium patients, the NLP-mCAM algorithm identified 20 611 (15.3%) definite delirium cases, and 10 762 (8.0%) possible cases. CONCLUSIONS NLP algorithms based on the standardized evidence-based CAM framework demonstrated high performance in delineating delirium status in an expeditious and cost-effective manner.
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Affiliation(s)
- Sunyang Fu
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- University of Minnesota, Minneapolis
| | - Guilherme S Lopes
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | | | - Nathan K LeBrasseur
- Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, Minnesota
- Department of Physiology & Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
| | - Andrew Wen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Hongfang Liu
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Walter A Rocca
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | - Sunghwan Sohn
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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Cathcart-Rake E, Loprinzi CL, Olson JE, Couch F, Dulmage B, Lustberg M, Larson N, Ruddy KJ. Abstract P4-10-17: Alopecia among breast cancer survivors. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p4-10-17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Funding Source: Institutional funds at Mayo Clinic. Background: While alopecia is a common and distressing acute side effect of chemotherapy, chronic hair thinning is also reported by some survivors during endocrine therapy. The purpose of the current study was to evaluate real world experiences of late/long-term alopecia among breast cancer survivors. Methods: Breast cancer survivors participating in the ongoing prospective Mayo Clinic Breast Disease Registry (MCBDR) were mailed a survey six years after diagnosis, between June and November 2020. Respondents were asked to report how bothered they are by hair thinning and hair loss over the last year on a scale from 0 “not at all” to 4 “extremely”. They were also asked whether they used any hair thickening or regrowth products. Results: 552/899 survivors responded (response rate 61%); 403 survivors’ responses were available for analysis. Respondents’ median age was 66 years, and median time since diagnosis was 78 months. Seventy patients (17%) were diagnosed with stage 0 breast cancer, 195 (48%) were diagnosed with stage 1 cancer, 104 (26%) with stage 2, 25 (6%) with stage 3; 6 (1%) had been diagnosed with metastatic or recurrent disease at the time of this survey. 139 (34%) patients had received chemotherapy. Of the patients who received chemotherapy, 82 (59%) had received doxorubicin and cyclophosphamide, 41 (29%) received docetaxel and cyclophosphamide, 77 (55%) received paclitaxel, and 27 (19%) received carboplatin. 258 (64%) received endocrine therapy. Of these patients who received endocrine therapy, 131 (51%) received Tamoxifen and 186 (72%) received aromatase inhibitors. 309 survivors (77%) were 55 years or older. 189 (47%) of all patients reported that they were bothered by chronic hair loss, and 225 (56%) reported that they were bothered by hair thinning; 71 (18%) reported use of thickening/regrowth products. There did not appear to be differences in chronic hair loss or thinning by receipt of chemotherapy: 64 patients (46%) who received chemotherapy reported hair loss and 79 (56%) reported hair thinning, compared with 123 patients (46%) who did not receive chemotherapy and reported hair loss and 142 (54%) who reported hair thinning. Hair thinning or loss did not appear to differ based upon age (Table 1). Symptoms did not appear to be more common amongst current or previous endocrine therapy recipients, with 113 (44%) of that subset bothered by hair loss and 128 (50%) by hair thinning. Conclusion: Hair loss and thinning are frequently reported as bothersome symptoms by long-term breast cancer survivors. Future investigations into treatments for chronic hair thinning during and after cancer therapy are needed.
Table 1.< 5555+Bothered by hair loss (n)%Bothered by hair thinning (n)%Bothered by hair loss (n)%Bothered by hair thinning (n)%Not at all5761%4649%15751%13142%Slightly1920%2426%8728%9731%Moderately77%910%3110%4113%BOTHERED BY HAIR LOSS (N)%BOTHERED BY HAIR THINNING (N)%BOTHERED BY HAIR LOSS (N)%BOTHERED BY HAIR THINNING (N)%Quite a bit77%1112%227%268%Extremely44%33%93%103%Missing00%11%31%41%
Citation Format: Elizabeth Cathcart-Rake, Charles L Loprinzi, Janet E Olson, Fergus Couch, Brittany Dulmage, Maryam Lustberg, Nicole Larson, Kathryn J Ruddy. Alopecia among breast cancer survivors [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-10-17.
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Mannion S, Higgins A, Stewart EA, Khan Z, Shenoy C, Larson N, Nichols HB, Su HI, Partridge AH, Couch FJ, Olson JE, Ruddy K. Abstract P4-11-02: Prevalence and impact of fertility concerns in young women with breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p4-11-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Breast cancer treatments can impair fertility via direct gonadotoxicity (chemotherapy) as well as by introducing delays in childbearing that allow natural ovarian aging. Guidelines strongly recommend fertility counseling and consideration of fertility preservation techniques for premenopausal women who have not completed their desired childbearing at the time of cancer diagnosis. Prior studies have identified high rates of fertility concern but relatively low rates of fertility counseling and use of fertility preservation techniques. We sought to investigate rates of fertility counseling, use of fertility preservation techniques, and how fertility concerns impact cancer treatment decisions in a modern cohort of patients with breast cancer at a large academic medical center in the United States. Methods: All patients seen at Mayo Clinic Rochester with a new diagnosis (within the year prior) of stage 0-4 breast cancer were invited (by mail or in person) to participate in the Mayo Clinic Breast Registry. After informed consent, participants were asked to complete a baseline survey and annual follow-up surveys. On baseline and one-year surveys, patients were queried about desire for future children and fertility concerns. Nurse chart abstraction was used to collect information about tumor subtype, stage, and treatments received. We examined survey data from women diagnosed under the age of 50 who expressed an interest in having future biological children on either the baseline or year 1 survey between February 2015 and October 2020. Descriptive statistics were used to summarize the degree of fertility concern in this population, the impact of that concern on cancer treatment decisions, and steps taken to preserve fertility. Results: Between February 2015 and October 2020, 865 women under age 50 at diagnosis consented to the registry. Of these women, 627 completed a baseline and/or 1-year survey and 100 answered either “yes” or “unsure” to the question: “At the present time, do you wish to have any more biological children in the future?” on one or both surveys. Among the 100 women expressing interest in future child-bearing, 92% were white, 27% had node-positive and one had distant metastatic disease at diagnosis. The age at diagnosis ranged from 19 to 49 years, with a mean age of 33.8 years. Of the 75 who reported a desire for future children at baseline, 28% felt “somewhat concerned” about their future fertility and 40% felt “very concerned.” Of the 70 who reported a desire for future children on the year 1 survey, 17% felt “somewhat concerned” and 59% felt “very concerned.” For those “very concerned” about future fertility at year 1, 65% reported that this concern had a major impact on their treatment decisions. Often, that treatment modification entailed using endocrine therapy for less than 5 years; 52% of those who specified the type of treatment modification they had made indicated this option. Of note, six women who reported no desire for future biological children at baseline were “unsure” at year 1. At year 1, 93% of women recalled a discussion about fertility with their doctor prior to starting treatment, and 49% had taken steps to preserve fertility (32.5% with embryo cryopreservation, 20% with oocyte cryopreservation and 65% with a GnRH agonist; some selected multiple options). Conclusion: We found a reassuringly high rate of patient-reported fertility counseling and use of reproductive endocrinology technologies to preserve fertility in women who reported a desire for additional children at or soon after diagnosis with breast cancer. Consistent with prior studies, fertility concerns frequently impacted breast cancer treatment decisions. It is important to err on the side of inclusivity when providing fertility counseling because desire for fertility can change over time.
Citation Format: Samantha Mannion, Alexandra Higgins, Elizabeth A Stewart, Zaraq Khan, Chandra Shenoy, Nicole Larson, Hazel B Nichols, H Irene Su, Ann H Partridge, Fergus J Couch, Janet E Olson, Kathryn Ruddy. Prevalence and impact of fertility concerns in young women with breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-11-02.
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Affiliation(s)
| | | | | | | | | | | | | | - H Irene Su
- University of California San Diego, La Jolla, CA
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Yadav S, Hu C, Boddicker NJ, Polley E, Hart S, Gnanaolivu R, Na J, Huang H, Yao S, Vachon CM, Teras L, Taylor JA, Sandler DP, Palmer JR, Olson JE, Neuhausen S, Martinez E, Lindstroem S, Le Marchand L, Kooperberg C, Haiman C, Gaudet MM, Lacey JV, Bertrand KA, Bernstein L, Auer PW, Ambrosone C, Weitzel JN, Kraft P, Goldgar DE, Nathanson KL, Domchek SM, Couch FJ. Abstract P2-09-01: Population-based risk estimates of clinical subtypes of breast cancer among carriers of germline pathogenic variants in cancer predisposition genes. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p2-09-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: The risk of specific clinical subtype of breast cancer (defined by ER and HER2 status) among women in the general population who are carriers of germline pathogenic variants (PVs) in cancer predisposition genes is not well-defined. Methods: A total of 13,153 women with breast cancer (ER+/HER2-: 9381; ER+/HER2+: 1462; ER-/HER2+: 690; and ER-/HER2-: 1620) and 25,005 unaffected women (controls) from nine studies within the CAnceR RIsk Estimates Related to Susceptibility (CARRIERS) consortium that were not enriched for family history or early onset disease were included in the present analysis. A multiplex amplicon-based panel was used to perform germline sequencing for cancer predisposition genes. Case-control associations for each of the four clinical subtype of breast cancer was performed for PVs in 5 common breast cancer predisposition genes (ATM, BRCA1, BRCA2, CHEK2 and PALB2) utilizing a logistic regression model adjusting for study, age at diagnosis, race/ethnicity and family history of breast cancer. Results: The frequency of PVs in 5 genes was 3.8% for ER+/HER2-, 6.2% for ER+/HER2+, 4.2% for ER-/HER2+ and 9.3% for ER-/HER2- subtypes. PVs in BRCA1 and BRCA2 were associated with high risk (Odds Ratio (OR) >4) for all clinical subtypes of breast cancer, but the risk was highest (OR>8) for ER-/HER2- breast cancer. PVs in PALB2 were associated with high risk (OR>4) of ER-/HER2- and ER+/HER2+ subtypes and moderate risk (OR: 2-4) of ER+/HER2- breast cancer. Irrespective of the HER2 status, PVs in ATM were associated with a moderately increased risk (OR: 2-4) of ER+ breast cancer but the risk of ER- breast cancer was not elevated. In contrast, PVs in CHEK2 were associated with high risk (OR>4) of ER+/HER2+ breast cancer and moderate risk (OR: 2-4) of ER+/HER2- and ER-/HER2+ breast cancer, but the risk of ER-/HER2- breast cancer was not elevated. Conclusions: This study provides population-based estimates of risk of specific clinical subtypes of breast cancer which will be useful for genetic counseling and targeting appropriate screening strategies in PV carriers based on subtype specific risks of breast cancer.
Citation Format: Siddhartha Yadav, Chunling Hu, Nicholas J. Boddicker, Eric Polley, Steven Hart, Rohan Gnanaolivu, Jie Na, Hongyan Huang, Song Yao, Celine M. Vachon, Lauren Teras, Jack A. Taylor, Dale P. Sandler, Julie R. Palmer, Janet E. Olson, Susan Neuhausen, Elena Martinez, Sara Lindstroem, Loic Le Marchand, Charles Kooperberg, Christopher Haiman, Mia M. Gaudet, James V. Lacey, Kimberly A. Bertrand, Leslie Bernstein, Paul W. Auer, Christine Ambrosone, Jeffrey N. Weitzel, Peter Kraft, David E. Goldgar, Katherine L. Nathanson, Susan M. Domchek, Fergus J. Couch, CARRIERS Consortium. Population-based risk estimates of clinical subtypes of breast cancer among carriers of germline pathogenic variants in cancer predisposition genes [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-09-01.
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Affiliation(s)
| | | | | | | | | | | | - Jie Na
- Mayo Clinic, Rochester, MN
| | - Hongyan Huang
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | | | | | | | | | | | | | | | | | | | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | | | | | - Paul W. Auer
- UWM Joseph J. Zilber School of Public Health, Milwaukee, WI
| | | | | | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | - Susan M. Domchek
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Dennis J, Tyrer JP, Walker LC, Michailidou K, Dorling L, Bolla MK, Wang Q, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Freeman LEB, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brenner H, Castelao JE, Chang-Claude J, Chenevix-Trench G, Clarke CL, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Devilee P, Dörk T, Dossus L, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, Giles GG, González-Neira A, Guénel P, Hahnen E, Haiman CA, Hall P, Hollestelle A, Hoppe R, Hopper JL, Howell A, Jager A, Jakubowska A, John EM, Johnson N, Jones ME, Jung A, Kaaks R, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Kosma VM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Linet M, Ogrodniczak A, Mannermaa A, Manoukian S, Margolin S, Mavroudis D, Milne RL, Muranen TA, Murphy RA, Nevanlinna H, Olson JE, Olsson H, Park-Simon TW, Perou CM, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rennert G, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Shibli R, Smeets A, Soucy P, Southey MC, Swerdlow AJ, Tamimi RM, Taylor JA, Teras LR, Terry MB, Tomlinson I, Troester MA, Truong T, Vachon CM, Wendt C, Winqvist R, Wolk A, Yang XR, Zheng W, Ziogas A, Simard J, Dunning AM, Pharoah PDP, Easton DF. Rare germline copy number variants (CNVs) and breast cancer risk. Commun Biol 2022; 5:65. [PMID: 35042965 PMCID: PMC8766486 DOI: 10.1038/s42003-021-02990-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 12/01/2021] [Indexed: 12/14/2022] Open
Abstract
Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P = 0.0008), ATM (P = 0.002) and BRCA2 (P = 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.
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Affiliation(s)
- Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia
| | - J Margriet Collée
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, WA, Australia
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif, France
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | | | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Nichola Johnson
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
| | - Veli-Matti Kosma
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Vessela N Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Katerina Kubelka-Sabit
- Department of Histopathology and Cytology, Clinical Hospital Acibadem Sistina, Skopje, Republic of North Macedonia
| | - Allison W Kurian
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Nicole L Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Alicja Ogrodniczak
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer, Vancouver, Canada
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | | | - Charles M Perou
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM - the FIRC Institute of Molecular Oncology, Milan, Italy
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', MASA, Skopje, Republic of North Macedonia
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Elinor J Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, King's College London, London, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Rana Shibli
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ian Tomlinson
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif, France
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
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Boddicker NJ, Achenbach SJ, Parikh SA, Kleinstern G, Braggio E, Norman AD, Rabe KG, Vachon CM, Lesnick CE, Call TG, Olson JE, Cerhan JR, Kay NE, Hanson CA, Shanafelt TD, Slager SL. Associations of history of vaccination and hospitalization due to infection with risk of monoclonal B-cell lymphocytosis. Leukemia 2022; 36:1404-1407. [PMID: 35169244 PMCID: PMC8853183 DOI: 10.1038/s41375-022-01514-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 01/13/2022] [Accepted: 01/26/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Nicholas J. Boddicker
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA
| | - Sara J. Achenbach
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN USA
| | - Sameer A. Parikh
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Geffen Kleinstern
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA ,grid.18098.380000 0004 1937 0562School of Public Health, University of Haifa, Haifa, Israel
| | - Esteban Braggio
- grid.470142.40000 0004 0443 9766Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ USA
| | - Aaron D. Norman
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Kari G. Rabe
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN USA
| | - Celine M. Vachon
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Connie E. Lesnick
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Timothy G. Call
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Janet E. Olson
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - James R. Cerhan
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Neil E. Kay
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Curtis A. Hanson
- grid.66875.3a0000 0004 0459 167XDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Tait D. Shanafelt
- grid.168010.e0000000419368956Department of Medicine, Division of Hematology, Stanford University, Stanford, CA USA
| | - Susan L. Slager
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
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Yadav S, Hu C, Nathanson KL, Weitzel JN, Goldgar DE, Kraft P, Gnanaolivu RD, Na J, Huang H, Boddicker NJ, Larson N, Gao C, Yao S, Weinberg C, Vachon CM, Trentham-Dietz A, Taylor JA, Sandler DR, Patel A, Palmer JR, Olson JE, Neuhausen S, Martinez E, Lindstrom S, Lacey JV, Kurian AW, John EM, Haiman C, Bernstein L, Auer PW, Anton-Culver H, Ambrosone CB, Karam R, Chao E, Yussuf A, Pesaran T, Dolinsky JS, Hart SN, LaDuca H, Polley EC, Domchek SM, Couch FJ. Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast. J Clin Oncol 2021; 39:3918-3926. [PMID: 34672684 PMCID: PMC8660003 DOI: 10.1200/jco.21.00640] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/16/2021] [Accepted: 09/16/2021] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To determine the contribution of germline pathogenic variants (PVs) in hereditary cancer testing panel genes to invasive lobular carcinoma (ILC) of the breast. MATERIALS AND METHODS The study included 2,999 women with ILC from a population-based cohort and 3,796 women with ILC undergoing clinical multigene panel testing (clinical cohort). Frequencies of germline PVs in breast cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, PALB2, PTEN, RAD51C, RAD51D, and TP53) were compared between women with ILC and unaffected female controls and between women with ILC and infiltrating ductal carcinoma (IDC). RESULTS The frequency of PVs in breast cancer predisposition genes among women with ILC was 6.5% in the clinical cohort and 5.2% in the population-based cohort. In case-control analysis, CDH1 and BRCA2 PVs were associated with high risks of ILC (odds ratio [OR] > 4) and CHEK2, ATM, and PALB2 PVs were associated with moderate (OR = 2-4) risks. BRCA1 PVs and CHEK2 p.Ile157Thr were not associated with clinically relevant risks (OR < 2) of ILC. Compared with IDC, CDH1 PVs were > 10-fold enriched, whereas PVs in BRCA1 were substantially reduced in ILC. CONCLUSION The study establishes that PVs in ATM, BRCA2, CDH1, CHEK2, and PALB2 are associated with an increased risk of ILC, whereas BRCA1 PVs are not. The similar overall PV frequencies for ILC and IDC suggest that cancer histology should not influence the decision to proceed with genetic testing. Similar to IDC, multigene panel testing may be appropriate for women with ILC, but CDH1 should be specifically discussed because of low prevalence and gastric cancer risk.
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Affiliation(s)
| | | | - Katherine L. Nathanson
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | | | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | - Jie Na
- Mayo Clinic, Rochester, MN
| | - Hongyan Huang
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | - Chi Gao
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | | | | | | | - Alpa Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | | | | | | | | | | | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | - Paul W. Auer
- UWM Joseph J. Zilber School of Public Health, Milwaukee, WI
| | | | | | | | | | | | | | | | | | | | | | - Susan M. Domchek
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Chahal CAA, Gottwald JA, St Louis EK, Xie J, Brady PA, Alhurani RE, Timm P, Thapa P, Mandrekar J, So EL, Olson JE, Ackerman MJ, Somers VK. QT prolongation in patients with index evaluation for seizure or epilepsy is predictive of all-cause mortality. Heart Rhythm 2021; 19:578-584. [PMID: 34775068 DOI: 10.1016/j.hrthm.2021.11.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 11/02/2021] [Accepted: 11/06/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Refractory epilepsy confers a considerable lifetime risk of sudden unexplained death in epilepsy (SUDEP). Mechanisms may overlap with sudden cardiac death (SCD), particularly regarding QTc prolongation. Guidelines in the United States do not mandate the use of electrocardiography (ECG) in diagnostic evaluation of seizures or epilepsy. OBJECTIVE The purpose of this study was to determine the frequency of ECG use and of QT prolongation, and whether QT prolongation predicts mortality in patients with seizures. METHODS We performed a retrospective cohort study including all patients seen at Mayo Clinic in Rochester, Minnesota, from January 1, 2000, to July 31, 2015, with index evaluation for seizure or epilepsy. Patients with an ECG were categorized by the presence of a prolonged QT interval with a primary endpoint of all-cause mortality after the 15-year observation period. RESULTS Optimal cutoff QT intervals most predictive of mortality were identified. Median age was 40.0 years. An ECG was obtained in 18,222 patients (57.4%). After patients with confounding ECG findings were excluded, primary prolonged QT intervals were seen in 223 cases (1.4%), similar to the general population. Kaplan-Meier analysis demonstrated a significant increase in mortality (Cox hazard ratio [HR] 1.90; 95% confidence interval [CI] 1.76-2.05) for prolonged optimal cutoff QT, maintained after adjustments for age, Charlson comorbidity index, and sex (HR 1.48; 95% CI 1.37-1.59). CONCLUSION Use of ECG in diagnostic workup of patients with seizures is poor. A prolonged optimal cutoff QTc interval predicts all-cause mortality in patients evaluated for seizure and those diagnosed with epilepsy. We advocate the routine use of a 12-lead ECG at index evaluation in patients with seizure or epilepsy.
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Affiliation(s)
- C Anwar A Chahal
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Erik K St Louis
- Department of Neurology, Mayo Clinic, Rochester, Minnesota; Mayo Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jiang Xie
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Peter A Brady
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Rabe E Alhurani
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota; Department of Neurology, Mayo Clinic, Rochester, Minnesota; Division of Geriatric Medicine, Loyola University Medical Center, Maywood, Illinois
| | - Paul Timm
- Department of Neurology, Mayo Clinic, Rochester, Minnesota; Mayo Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota
| | - Prabin Thapa
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Jay Mandrekar
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Elson L So
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Janet E Olson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Michael J Ackerman
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota; Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, Minnesota; Department of Pediatrics, Mayo Clinic, Rochester, Minnesota
| | - Virend K Somers
- Mayo Clinic College of Medicine, Mayo Clinic, Rochester, Minnesota; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
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Boddicker NJ, Hu C, Weitzel JN, Kraft P, Nathanson KL, Goldgar DE, Na J, Huang H, Gnanaolivu RD, Larson N, Yussuf A, Yao S, Vachon CM, Trentham-Dietz A, Teras L, Taylor JA, Scott CE, Sandler DP, Pesaran T, Patel AV, Palmer JR, Ong IM, Olson JE, O'Brien K, Neuhausen S, Martinez E, Ma H, Lindstrom S, Le Marchand L, Kooperberg C, Karam R, Hunter DJ, Hodge JM, Haiman C, Gaudet MM, Gao C, LaDuca H, Lacey JV, Dolinsky JS, Chao E, Carter BD, Burnside ES, Bertrand KA, Bernstein L, Auer PW, Ambrosone C, Yadav S, Hart SN, Polley EC, Domchek SM, Couch FJ. Risk of Late-Onset Breast Cancer in Genetically Predisposed Women. J Clin Oncol 2021; 39:3430-3440. [PMID: 34292776 PMCID: PMC8547938 DOI: 10.1200/jco.21.00531] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 05/07/2021] [Accepted: 06/29/2021] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The prevalence of germline pathogenic variants (PVs) in established breast cancer predisposition genes in women in the general population over age 65 years is not well-defined. However, testing guidelines suggest that women diagnosed with breast cancer over age 65 years might have < 2.5% likelihood of a PV in a high-penetrance gene. This study aimed to establish the frequency of PVs and remaining risks of breast cancer for each gene in women over age 65 years. METHODS A total of 26,707 women over age 65 years from population-based studies (51.5% with breast cancer and 48.5% unaffected) were tested for PVs in germline predisposition gene. Frequencies of PVs and associations between PVs in each gene and breast cancer were assessed, and remaining lifetime breast cancer risks were estimated for non-Hispanic White women with PVs. RESULTS The frequency of PVs in predisposition genes was 3.18% for women with breast cancer and 1.48% for unaffected women over age 65 years. PVs in BRCA1, BRCA2, and PALB2 were found in 3.42% of women diagnosed with estrogen receptor (ER)-negative, 1.0% with ER-positive, and 3.01% with triple-negative breast cancer. Frequencies of PVs were lower among women with no first-degree relatives with breast cancer. PVs in CHEK2, PALB2, BRCA2, and BRCA1 were associated with increased risks (odds ratio = 2.9-4.0) of breast cancer. Remaining lifetime risks of breast cancer were ≥ 15% for those with PVs in BRCA1, BRCA2, and PALB2. CONCLUSION This study suggests that all women diagnosed with triple-negative breast cancer or ER-negative breast cancer should receive genetic testing and that women over age 65 years with BRCA1 and BRCA2 PVs and perhaps with PALB2 and CHEK2 PVs should be considered for magnetic resonance imaging screening.
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Affiliation(s)
| | | | | | - Peter Kraft
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | - Katherine L. Nathanson
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Jie Na
- Mayo Clinic, Rochester, MN
| | - Hongyan Huang
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | | | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | - Lauren Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | | | - Alpa V. Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | | | | | | | - Huiyan Ma
- Beckman Research Institute of City of Hope, Duarte, CA
| | - Sara Lindstrom
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | | | | | | | - James M. Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Mia M. Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Chi Gao
- Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | | | | | | | - Brian D. Carter
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | | | | | | | - Paul W. Auer
- UWM Joseph J. Zilber School of Public Health, Milwaukee, WI
| | | | | | | | | | - Susan M. Domchek
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Basser Center for BRCA, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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41
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Gao C, Polley EC, Hart SN, Huang H, Hu C, Gnanaolivu R, Lilyquist J, Boddicker NJ, Na J, Ambrosone CB, Auer PL, Bernstein L, Burnside ES, Eliassen AH, Gaudet MM, Haiman C, Hunter DJ, Jacobs EJ, John EM, Lindström S, Ma H, Neuhausen SL, Newcomb PA, O'Brien KM, Olson JE, Ong IM, Patel AV, Palmer JR, Sandler DP, Tamimi R, Taylor JA, Teras LR, Trentham-Dietz A, Vachon CM, Weinberg CR, Yao S, Weitzel JN, Goldgar DE, Domchek SM, Nathanson KL, Couch FJ, Kraft P. Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score. J Clin Oncol 2021; 39:2564-2573. [PMID: 34101481 PMCID: PMC8330969 DOI: 10.1200/jco.20.01992] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 02/19/2021] [Accepted: 04/20/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE This study assessed the joint association of pathogenic variants (PVs) in breast cancer (BC) predisposition genes and polygenic risk scores (PRS) with BC in the general population. METHODS A total of 26,798 non-Hispanic white BC cases and 26,127 controls from predominately population-based studies in the Cancer Risk Estimates Related to Susceptibility consortium were evaluated for PVs in BRCA1, BRCA2, ATM, CHEK2, PALB2, BARD1, BRIP1, CDH1, and NF1. PRS based on 105 common variants were created using effect estimates from BC genome-wide association studies; the performance of an overall BC PRS and estrogen receptor-specific PRS were evaluated. The odds of BC based on the PVs and PRS were estimated using penalized logistic regression. The results were combined with age-specific incidence rates to estimate 5-year and lifetime absolute risks of BC across percentiles of PRS by PV status and first-degree family history of BC. RESULTS The estimated lifetime risks of BC among general-population noncarriers, based on 10th and 90th percentiles of PRS, were 9.1%-23.9% and 6.7%-18.2% for women with or without first-degree relatives with BC, respectively. Taking PRS into account, more than 95% of BRCA1, BRCA2, and PALB2 carriers had > 20% lifetime risks of BC, whereas, respectively, 52.5% and 69.7% of ATM and CHEK2 carriers without first-degree relatives with BC, and 78.8% and 89.9% of those with a first-degree relative with BC had > 20% risk. CONCLUSION PRS facilitates personalization of BC risk among carriers of PVs in predisposition genes. Incorporating PRS into BC risk estimation may help identify > 30% of CHEK2 and nearly half of ATM carriers below the 20% lifetime risk threshold, suggesting the addition of PRS may prevent overscreening and enable more personalized risk management approaches.
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Affiliation(s)
- Chi Gao
- Harvard T.H. Chan School of Public Health, Boston, MA
| | | | | | - Hongyan Huang
- Harvard T.H. Chan School of Public Health, Boston, MA
| | | | | | | | | | - Jie Na
- Mayo Clinic, Rochester, MN
| | | | - Paul L. Auer
- UWM Joseph J. Zilber School of Public Health, Milwaukee, WI
| | | | | | - A. Heather Eliassen
- Harvard T.H. Chan School of Public Health, Boston, MA
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Mia M. Gaudet
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Christopher Haiman
- Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - David J. Hunter
- Harvard T.H. Chan School of Public Health, Boston, MA
- University of Oxford, Oxford, United Kingdom
| | - Eric J. Jacobs
- Department of Population Science, American Cancer Society, Atlanta, GA
| | | | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Huiyan Ma
- Beckman Research Institute of City of Hope, Duarte, CA
| | | | - Polly A. Newcomb
- Department of Epidemiology, University of Washington, Seattle, WA
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | | | | | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Atlanta, GA
| | - Julie R. Palmer
- Boston University School of Medicine and Slone Epidemiology Center, Boston, MA
| | - Dale P. Sandler
- National Institute of Environmental Health Sciences, Durham, NC
| | - Rulla Tamimi
- Population Health Sciences Department, Weill Cornell Medicine, New York, NY
| | - Jack A. Taylor
- National Institute of Environmental Health Sciences, Durham, NC
| | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Atlanta, GA
| | | | | | | | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | | | | | - Susan M. Domchek
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | | | - Peter Kraft
- Harvard T.H. Chan School of Public Health, Boston, MA
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42
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Patel SR, Herrmann J, Vierkant RA, Olson JE, Couch FJ, Hazim A, Sloan JA, Loprinzi CL, Ruddy KJ. N-Terminal Pro Brain Natriuretic Peptide, sST2, and Galectin-3 Levels in Breast Cancer Survivors. J Clin Med 2021; 10:3313. [PMID: 34362097 PMCID: PMC8346981 DOI: 10.3390/jcm10153313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/17/2021] [Accepted: 07/20/2021] [Indexed: 02/07/2023] Open
Abstract
NT-proBNP, soluble ST2 (sST2), and galectin-3 are biomarkers of cardiac dysfunction that have been proposed as identifiers of patients experiencing asymptomatic cardiac dysfunction after anthracycline-based chemotherapy. This study aimed to compare the proportion of breast cancer (BC) survivors with elevated serum levels of these three putative biomarkers by prior receipt of anthracycline (yes vs. no). Five-hundred-eighty survivors of BC who had received anthracycline-based chemotherapy were matched by age and time between diagnosis and serum storage to 580 who had not. Cardiac biomarker levels were analyzed using immunoassays. Analyses were carried out using linear and logistic regression models. Anthracycline recipients had higher values of NT-proBNP than non-recipients (mean 116.0 ng/L vs. 97.0 ng/L, respectively; p < 0.001). Values for ST2 and galectin-3 did not significantly differ by receipt of anthracycline. After further adjustment for age at breast cancer diagnosis, ethnicity, and receipt of trastuzumab, associations between receipt of anthracycline and higher NT-proBNP persisted (p < 0.001), showing that NT-proBNP may be a biomarker of cardiovascular toxicity after receipt of anthracycline-based chemotherapy. Further research to assess the clinical utility of NT-proBNP testing after receipt of anthracycline is recommended. sST2 and galectin-3 do not appear to differentiate between anthracycline recipients and non-recipients amongst breast cancer survivors.
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Affiliation(s)
| | - Joerg Herrmann
- Department of Cardiovascular Disease, Mayo Clinic, Rochester, MN 55901, USA;
| | - Robert A. Vierkant
- Health Sciences Research, Mayo Clinic, Rochester, MN 55901, USA; (R.A.V.); (J.E.O.); (J.A.S.)
| | - Janet E. Olson
- Health Sciences Research, Mayo Clinic, Rochester, MN 55901, USA; (R.A.V.); (J.E.O.); (J.A.S.)
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55901, USA;
| | - Antonious Hazim
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55901, USA;
| | - Jeff A. Sloan
- Health Sciences Research, Mayo Clinic, Rochester, MN 55901, USA; (R.A.V.); (J.E.O.); (J.A.S.)
| | - Charles L. Loprinzi
- Department of Oncology, Mayo Clinic, Rochester, MN 55901, USA; (C.L.L.); (K.J.R.)
| | - Kathryn J. Ruddy
- Department of Oncology, Mayo Clinic, Rochester, MN 55901, USA; (C.L.L.); (K.J.R.)
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43
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Baxter JS, Johnson N, Tomczyk K, Gillespie A, Maguire S, Brough R, Fachal L, Michailidou K, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brenner H, Brucker SY, Cai Q, Campa D, Canzian F, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Choi JY, Clarke CL, Colonna S, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dossus L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Engel C, Fasching PA, Figueroa J, Flyger H, Gago-Dominguez M, Gao C, García-Closas M, García-Sáenz JA, Ghoussaini M, Giles GG, Goldberg MS, González-Neira A, Guénel P, Gündert M, Haeberle L, Hahnen E, Haiman CA, Hall P, Hamann U, Hartman M, Hatse S, Hauke J, Hollestelle A, Hoppe R, Hopper JL, Hou MF, Ito H, Iwasaki M, Jager A, Jakubowska A, Janni W, John EM, Joseph V, Jung A, Kaaks R, Kang D, Keeman R, Khusnutdinova E, Kim SW, Kosma VM, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Kwong A, Lacey JV, Lambrechts D, Larson NL, Larsson SC, Le Marchand L, Lejbkowicz F, Li J, Long J, Lophatananon A, Lubiński J, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Matsuo K, Mavroudis D, Mayes R, Menon U, Milne RL, Mohd Taib NA, Muir K, Muranen TA, Murphy RA, Nevanlinna H, O'Brien KM, Offit K, Olson JE, Olsson H, Park SK, Park-Simon TW, Patel AV, Peterlongo P, Peto J, Plaseska-Karanfilska D, Presneau N, Pylkäs K, Rack B, Rennert G, Romero A, Ruebner M, Rüdiger T, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Shah M, Shen CY, Shu XO, Simard J, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Teo SH, Teras LR, Terry MB, Toland AE, Tomlinson I, Truong T, Tseng CC, Untch M, Vachon CM, van den Ouweland AMW, Wang SS, Weinberg CR, Wendt C, Winham SJ, Winqvist R, Wolk A, Wu AH, Yamaji T, Zheng W, Ziogas A, Pharoah PDP, Dunning AM, Easton DF, Pettitt SJ, Lord CJ, Haider S, Orr N, Fletcher O. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element. Am J Hum Genet 2021; 108:1190-1203. [PMID: 34146516 PMCID: PMC8322933 DOI: 10.1016/j.ajhg.2021.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 05/25/2021] [Indexed: 12/21/2022] Open
Abstract
A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31).
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Affiliation(s)
- Joseph S Baxter
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK.
| | - Nichola Johnson
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK
| | - Katarzyna Tomczyk
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK
| | - Andrea Gillespie
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK
| | - Sarah Maguire
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Ireland BT7 1NN, UK
| | - Rachel Brough
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK; The CRUK Gene Function Laboratory, The Institute of Cancer Research, London SW3 6JB, UK
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA 92617, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk 223040, Belarus
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund 222 42, Sweden
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen 91054, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Javier Benitez
- Biomedical Network on Rare Diseases (CIBERER), Madrid 28029, Spain; Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk 223040, Belarus; Department of Radiation Oncology, Hannover Medical School, Hannover 30625, Germany; Gynaecology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev 2730, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev 2730, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg 69120, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Sara Y Brucker
- Department of Gynecology and Obstetrics, University of Tübingen, Tübingen 72076, Germany
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany; Department of Biology, University of Pisa, Pisa 56126, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo 36312, Spain
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong; Department of Molecular Pathology, Hong Kong Sanatorium and Hospital, Hong Kong
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; Cancer Research Institute, Seoul National University, Seoul 03080, Korea; Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul 03080, Korea
| | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, NSW 2145, Australia
| | - Sarah Colonna
- Department of Medicine, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2TN, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield S10 2TN, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 65, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA 19111, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon 69372, France
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London W1B 2HW, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen 91054, Germany
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig 04107, Germany; LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig 04103, Germany
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen 91054, Germany; David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH16 4UX, UK; Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev 2730, Denmark
| | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela 15706, Spain; Moores Cancer Center, University of California San Diego, La Jolla, CA 92037, USA
| | - Chi Gao
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid 28040, Spain
| | - Maya Ghoussaini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; Open Targets, Core Genetics Team, Wellcome Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, QC H4A 3J1, Canada; Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, QC H4A 3J1, Canada
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif 94805, France
| | - Melanie Gündert
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany; Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg 69120, Germany; Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen 91054, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 65, Sweden; Department of Oncology, Södersjukhuset, Stockholm 118 83, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077, Singapore; Department of Surgery, National University Hospital, Singapore 119228, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Sigrid Hatse
- Laboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Leuven Cancer Institute, Leuven 3000, Belgium
| | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50931, Germany
| | - Antoinette Hollestelle
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam 3015 GD, the Netherlands
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart 70376, Germany; University of Tübingen, Tübingen 72074, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung 812, Taiwan
| | - Hidemi Ito
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo 104-0045, Japan
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam 3015 GD, the Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 71-252, Poland; Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin 71-252, Poland
| | - Wolfgang Janni
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm 89075, Germany
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Vijai Joseph
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Renske Keeman
- Division of Molecular Pathology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam 1066 CX, the Netherlands
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450000, Russia
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary's Hospital, Seoul 07442, Korea
| | - Veli-Matti Kosma
- Translational Cancer Research Area, University of Eastern Finland, Kuopio 70210, Finland; Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio 70210, Finland; Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Vessela N Kristensen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo 0450, Norway; Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo 0379, Norway
| | - Katerina Kubelka-Sabit
- Department of Histopathology and Cytology, Clinical Hospital Acibadem Sistina, Skopje 1000, Republic of North Macedonia
| | - Allison W Kurian
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong; Department of Surgery, The University of Hong Kong, Hong Kong; Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Hong Kong
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA; City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA 91010, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven 3001, Belgium; Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven 3000, Belgium
| | - Nicole L Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala 751 05, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa 35254, Israel
| | - Jingmei Li
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore; Human Genetics Division, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 71-252, Poland
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio 70210, Finland; Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio 70210, Finland; Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan 20133, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm 118 83, Sweden; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm 118 83, Sweden
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion 711 10, Greece
| | - Rebecca Mayes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Usha Menon
- Institute of Clinical Trials & Methodology, University College London, London WC1V 6LJ, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Nur Aishah Mohd Taib
- Breast Cancer Research Unit, University Malaya Cancer Research Institute, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki 00290, Finland
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Cancer Control Research, BC Cancer, Vancouver, BC V5Z 1L3, Canada
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki 00290, Finland
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund 222 42, Sweden
| | - Sue K Park
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; Convergence Graduate Program in Innovative Medical Science, Seoul National University College of Medicine, Seoul 03080, Korea
| | | | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM - the FIRC Institute of Molecular Oncology, Milan 20139, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', MASA, Skopje 1000, Republic of North Macedonia
| | - Nadege Presneau
- School of Life Sciences, University of Westminster, London W1B 2HW, UK
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu 90570, Finland; Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu 90570, Finland
| | - Brigitte Rack
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm 89075, Germany
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa 35254, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid 28222, Spain
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen 91054, Germany
| | - Thomas Rüdiger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe 76133, Germany
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA
| | - Elinor J Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, King's College London, London, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam 1066 CX, the Netherlands; Division of Psychosocial Research and Epidemiology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam 1066 CX, the Netherlands
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50931, Germany
| | - Andreas Schneeweiss
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg 69120, Germany; National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg 69120, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan; School of Public Health, China Medical University, Taichung, Taiwan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC G1V 4G2, Canada
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA 6000, Australia
| | - Harald Surowy
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany; Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg 69120, Germany
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK; Division of Breast Cancer Research, The Institute of Cancer Research, London SW7 3RP, UK
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - William J Tapper
- Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA; Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Amanda E Toland
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH 43210, USA
| | - Ian Tomlinson
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK; Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford OX3 7BN, UK
| | - Thérèse Truong
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif 94805, France
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Michael Untch
- Department of Gynecology and Obstetrics, Helios Clinics Berlin-Buch, Berlin 13125, Germany
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ans M W van den Ouweland
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA; City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA 91010, USA
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm 118 83, Sweden
| | - Stacey J Winham
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu 90570, Finland; Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu 90570, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 171 77, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala 751 05, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo 104-0045, Japan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA 92617, USA
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Stephen J Pettitt
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK; The CRUK Gene Function Laboratory, The Institute of Cancer Research, London SW3 6JB, UK
| | - Christopher J Lord
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK; The CRUK Gene Function Laboratory, The Institute of Cancer Research, London SW3 6JB, UK
| | - Syed Haider
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Ireland BT7 1NN, UK
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK.
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Saadatagah S, Jose M, Dikilitas O, Alhalabi L, Miller AA, Fan X, Olson JE, Kochan DC, Safarova M, Kullo IJ. Author Correction: Genetic basis of hypercholesterolemia in adults. NPJ Genom Med 2021; 6:56. [PMID: 34188061 PMCID: PMC8241831 DOI: 10.1038/s41525-021-00222-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
| | - Merin Jose
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lubna Alhalabi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Xiao Fan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - David C Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Maya Safarova
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. .,Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.
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Manemann SM, St Sauver JL, Liu H, Larson NB, Moon S, Takahashi PY, Olson JE, Rocca WA, Miller VM, Therneau TM, Ngufor CG, Roger VL, Zhao Y, Decker PA, Killian JM, Bielinski SJ. Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population. BMJ Open 2021; 11:e044353. [PMID: 34103314 PMCID: PMC8190051 DOI: 10.1136/bmjopen-2020-044353] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
PURPOSE The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challenging due to complexity and quality of the data. Therefore, we developed large electronic population-based cohorts with comprehensive harmonised and processed EHR data. PARTICIPANTS All individuals 30 years of age or older who resided in Olmsted County, Minnesota on 1 January 2006 were identified for the discovery cohort. Algorithms to define a variety of patient characteristics were developed and validated, thus building a comprehensive risk profile for each patient. Patients are followed for incident diseases and ageing-related outcomes. Using the same methods, an independent validation cohort was assembled by identifying all individuals 30 years of age or older who resided in the largely rural 26-county area of southern Minnesota and western Wisconsin on 1 January 2013. FINDINGS TO DATE For the discovery cohort, 76 255 individuals (median age 49; 53% women) were identified from which a total of 9 644 221 laboratory results; 9 513 840 diagnosis codes; 10 924 291 procedure codes; 1 277 231 outpatient drug prescriptions; 966 136 heart rate measurements and 1 159 836 blood pressure (BP) measurements were retrieved during the baseline time period. The most prevalent conditions in this cohort were hyperlipidaemia, hypertension and arthritis. For the validation cohort, 333 460 individuals (median age 54; 52% women) were identified and to date, a total of 19 926 750 diagnosis codes, 10 527 444 heart rate measurements and 7 356 344 BP measurements were retrieved during baseline. FUTURE PLANS Using advanced machine learning approaches, these electronic cohorts will be used to identify novel sex-specific risk factors for complex diseases. These approaches will allow us to address several challenges with the use of EHR.
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Affiliation(s)
- Sheila M Manemann
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Jennifer L St Sauver
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Hongfang Liu
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Nicholas B Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Sungrim Moon
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Walter A Rocca
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Women's Health Research Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Virginia M Miller
- Mayo Clinic Women's Health Research Center, Mayo Clinic, Rochester, Minnesota, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
- Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Specialized Center of Research Excellence, Mayo Clinic Rochester, Minnesota, USA, Mayo Clinic, Rochester, Minnesota, USA
| | - Terry M Therneau
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Che G Ngufor
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Veronique L Roger
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Epidemiology and Community Health Branch National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Yiqing Zhao
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul A Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Jill M Killian
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Suzette J Bielinski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| |
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46
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Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, Barnes DR, McGuffog L, Leslie G, Bolla MK, Adank MA, Agata S, Ahearn T, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Arnold N, Aronson KJ, Arun BK, Augustinsson A, Azzollini J, Barrowdale D, Baynes C, Becher H, Bermisheva M, Bernstein L, Białkowska K, Blomqvist C, Bojesen SE, Bonanni B, Borg A, Brauch H, Brenner H, Burwinkel B, Buys SS, Caldés T, Caligo MA, Campa D, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chung WK, Claes KBM, Clarke CL, Collée JM, Conroy DM, Czene K, Daly MB, Devilee P, Diez O, Ding YC, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, Garcia-Barberan V, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Gehrig A, Georgoulias V, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, He W, Hogervorst FBL, Hollestelle A, Hopper JL, Horcasitas DJ, Hulick PJ, Hunter DJ, Imyanitov EN, Jager A, Jakubowska A, James PA, Jensen UB, John EM, Jones ME, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khusnutdinova E, Kiiski JI, Ko YD, Kosma VM, Kraft P, Kurian AW, Laitman Y, Lambrechts D, Le Marchand L, Lester J, Lesueur F, Lindstrom T, Lopez-Fernández A, Loud JT, Luccarini C, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mebirouk N, Meindl A, Miller A, Milne RL, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Nielsen FC, O'Brien KM, Olopade OI, Olson JE, Olsson H, Osorio A, Ottini L, Park-Simon TW, Parsons MT, Pedersen IS, Peshkin B, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Polley EC, Poppe B, Presneau N, Pujana MA, Punie K, Radice P, Rantala J, Rashid MU, Rennert G, Rennert HS, Robson M, Romero A, Rossing M, Saloustros E, Sandler DP, Santella R, Scheuner MT, Schmidt MK, Schmidt G, Scott C, Sharma P, Soucy P, Southey MC, Spinelli JJ, Steinsnyder Z, Stone J, Stoppa-Lyonnet D, Swerdlow A, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Teulé A, Thull DL, Tischkowitz M, Toland AE, Torres D, Trainer AH, Truong T, Tung N, Vachon CM, Vega A, Vijai J, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wolk A, Yadav S, Yang XR, Yannoukakos D, Zheng W, Ziogas A, Zorn KK, Park SK, Thomassen M, Offit K, Schmutzler RK, Couch FJ, Simard J, Chenevix-Trench G, Easton DF, Andrieu N, Antoniou AC. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers. Nat Commun 2021; 12:2986. [PMID: 33990587 PMCID: PMC8121813 DOI: 10.1038/s41467-021-23162-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4
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Affiliation(s)
- Juliette Coignard
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France.,Institut Curie Paris, Paris, France.,Mines ParisTech Fontainebleau, Paris, France.,Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,PSL University Paris, Paris, France.,Paris Sud University, Orsay, France
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tracy A O'Mara
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Daniel R Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Muriel A Adank
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Simona Agata
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada.,Department of Molecular Genetics University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Norbert Arnold
- Department of Gynaecology and Obstetrics University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany.,Institute of Clinical Molecular Biology University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute Queen's University, Kingston, ON, Canada
| | - Banu K Arun
- Department of Breast Medical Oncology University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Heko Becher
- Institute for Medical Biometrics and Epidemiology University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Leslie Bernstein
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Katarzyna Białkowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital University of Helsinki, Helsinki, Finland.,Department of Oncology Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark.,Department of Clinical Biochemistry, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark.,Faculty of Health and Medical Sciences University of Copenhagen, Copenhagen, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ake Borg
- Department of Oncology Lund University and Skåne University Hospital, Lund, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.,iFIT-Cluster of Excellence University of Tübingen, Tübingen, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, C080 German Cancer Research Center (DKFZ), Heidelberg, Germany.,Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg University of Heidelberg, Heidelberg, Germany
| | - Saundra S Buys
- Department of Medicine Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Trinidad Caldés
- Molecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Maria A Caligo
- SOD Genetica Molecolare University Hospital, Pisa, Italy
| | - Daniele Campa
- Department of Biology University of Pisa, Pisa, Italy.,Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brian D Carter
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Jose E Castelao
- Oncology and Genetics Unit Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany.,Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | | | - Christine L Clarke
- Westmead Institute for Medical Research University of Sydney, Sydney, NSW, Australia
| | | | | | - J Margriet Collée
- Department of Clinical Genetics Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics Fox Chase Cancer Center Philadelphia, Philadelphia, PA, USA
| | - Peter Devilee
- Department of Pathology Leiden University Medical Center, Leiden, The Netherlands.,Department of Human Genetics Leiden University Medical Center, Leiden, The Netherlands
| | - Orland Diez
- Oncogenetics Group Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.,Clinical and Molecular Genetics Area University Hospital Vall d'Hebron, Barcelona, Spain
| | - Yuan Chun Ding
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Susan M Domchek
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Miriam Dwek
- School of Life Sciences University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK.,Genomic Medicine, North West Genomics hub Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK
| | - Peter A Fasching
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology University of California at Los Angeles, Los Angeles, CA, USA.,Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN University Hospital Erlangen, Friedrich-Alexander-University, Erlangen-Nuremberg, Erlangen, Germany
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Eitan Friedman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel.,Sackler Faculty of Medicine Tel Aviv University, Ramat Aviv, Israel
| | - Lin Fritschi
- School of Public Health Curtin University, Perth, Western Australia, Australia
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain.,Moores Cancer Center University of California, San Diego La Jolla, CA, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Judy Garber
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vanesa Garcia-Barberan
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrea Gehrig
- Department of Human Genetics University Würzburg, Würzburg, Germany
| | | | - Graham G Giles
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, QC, Canada.,Division of Clinical Epidemiology, Royal Victoria Hospital McGill University Montréal, Montréal, QC, Canada
| | - David E Goldgar
- Huntsman Cancer Institute and Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna González-Neira
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Lothar Haeberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine University of Southern California, Los Angeles, CA, USA
| | | | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Patricia A Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Wei He
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Frans B L Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Darling J Horcasitas
- New Mexico Oncology Hematology Consultants, University of New Mexico, Albuquerque, NM, USA
| | - Peter J Hulick
- Center for Medical Genetics NorthShore University HealthSystem, Evanston, IL, USA.,The University of Chicago Pritzker School of Medicine Chicago, Chicago, IL, USA
| | - David J Hunter
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA.,Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA.,Nuffield Department of Population Health University of Oxford, Oxford, UK
| | | | | | | | | | - Agnes Jager
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland.,Independent Laboratory of Molecular Biology and Genetic Diagnostics Pomeranian Medical University, Szczecin, Poland
| | - Paul A James
- Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia
| | - Uffe Birk Jensen
- Department of Clinical Genetics Aarhus, University Hospital, Aarhus, Denmark
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA.,Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Genetics and Epidemiology The Institute of Cancer Research, London, UK
| | - Beth Y Karlan
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany.,David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Renske Keeman
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia.,Division of Molecular Pathology The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Johanna I Kiiski
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Yon-Dschun Ko
- Department of Obstetrics and Gynecology, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Veli-Matti Kosma
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany.,Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland.,Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Peter Kraft
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA.,Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | - Allison W Kurian
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA.,Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Yael Laitman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium.,Laboratory for Translational Genetics, Department of Human Genetics University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jenny Lester
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany.,David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Fabienne Lesueur
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France.,Institut Curie Paris, Paris, France.,Mines ParisTech Fontainebleau, Paris, France.,PSL University Paris, Paris, France
| | - Tricia Lindstrom
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Adria Lopez-Fernández
- High Risk and Cancer Prevention Group Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Jennifer T Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Arto Mannermaa
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany.,Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland.,Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden.,Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Noura Mebirouk
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France.,Institut Curie Paris, Paris, France.,Mines ParisTech Fontainebleau, Paris, France.,PSL University Paris, Paris, France
| | - Alfons Meindl
- Department of Gynecology and Obstetrics University of Munich, Campus Grosshadern, Munich, Germany
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Roger L Milne
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Marco Montagna
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Katherine L Nathanson
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Susan L Neuhausen
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Heli Nevanlinna
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Finn C Nielsen
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Katie M O'Brien
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | | | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Ana Osorio
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain.,Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Laura Ottini
- Department of Molecular Medicine University La Sapienza, Rome, Italy
| | | | - Michael T Parsons
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Inge Sokilde Pedersen
- Molecular Diagnostics Aalborg University Hospital, Aalborg, Denmark.,Clinical Cancer Research Center Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine Aalborg University, Aalborg, Denmark
| | - Beth Peshkin
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program IFOM - the FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kelly-Anne Phillips
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia
| | - Eric C Polley
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bruce Poppe
- Centre for Medical Genetics Ghent University, Gent, Belgium
| | - Nadege Presneau
- School of Life Sciences University of Westminster, London, UK
| | - Miquel Angel Pujana
- Translational Research Laboratory IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Kevin Punie
- Leuven Multidisciplinary Breast Center, Department of Oncology Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | | | - Muhammad U Rashid
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Basic Sciences Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore, Pakistan
| | - Gad Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Atocha Romero
- Medical Oncology Department Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Maria Rossing
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Dale P Sandler
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | - Regina Santella
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Maren T Scheuner
- Cancer Genetics and Prevention Program University of California San Francisco, San Francisco, CA, USA
| | - Marjanka K Schmidt
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Division of Psychosocial Research and Epidemiology The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Gunnar Schmidt
- Institute of Human Genetics Hannover Medical School, Hannover, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Medical Oncology University of Kansas Medical Center, Westwood, KS, USA
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia.,Department of Clinical Pathology The University of Melbourne, Melbourne, VIC, Australia
| | - John J Spinelli
- Population Oncology BC Cancer, Vancouver, BC, Canada.,School of Population and Public Health University of British Columbia, Vancouver, BC, Canada
| | - Zoe Steinsnyder
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.,The Curtin UWA Centre for Genetic Origins of Health and Disease Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Dominique Stoppa-Lyonnet
- Service de Génétique Institut Curie, Paris, France.,Department of Tumour Biology INSERM U830, Paris, France.,Université Paris Descartes, Paris, France
| | - Anthony Swerdlow
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.,Division of Breast Cancer Research Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA.,Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | | | - Jack A Taylor
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA.,Epigenetic and Stem Cell Biology Laboratory National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Alex Teulé
- Hereditary Cancer Program ONCOBELL-IDIBELL-IDIBGI-IGTP, Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Darcy L Thull
- Department of Medicine Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology McGill University, Montréal, QC, Canada.,Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Center, University of Cambridge, Cambridge, UK
| | - Amanda E Toland
- Department of Cancer Biology and Genetics The Ohio State University, Columbus, OH, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany.,Institute of Human Genetics Pontificia Universidad Javeriana, Bogota, Colombia
| | - Alison H Trainer
- Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia.,Department of medicine University Of Melbourne, Melbourne, VIC, Australia
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Nadine Tung
- Department of Medical Oncology Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology Mayo Clinic, Rochester, MN, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica-SERGAS, Instituto de Investigación Sanitaria Santiago de Compostela (IDIS); CIBERER, Santiago de Compostela, Spain
| | - Joseph Vijai
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA.,Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Barbara Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | | | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine Karolinska Institutet, Stockholm, Sweden.,Department of Surgical Sciences Uppsala University, Uppsala, Sweden
| | | | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Kristin K Zorn
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sue K Park
- Department of Preventive Medicine Seoul National University College of Medicine, Seoul, Korea.,Department of Biomedical Sciences Seoul National University Graduate School, Seoul, Korea.,Cancer Research Institute Seoul National University, Seoul, Korea
| | - Mads Thomassen
- Department of Clinical Genetics Odense University Hospital, Odence C, Denmark
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA.,Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology Mayo Clinic, Rochester, MN, USA
| | - Jacques Simard
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Nadine Andrieu
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France. .,Institut Curie Paris, Paris, France. .,Mines ParisTech Fontainebleau, Paris, France. .,PSL University Paris, Paris, France.
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
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47
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Park J, Choi JY, Choi J, Chung S, Song N, Park SK, Han W, Noh DY, Ahn SH, Lee JW, Kim MK, Jee SH, Wen W, Bolla MK, Wang Q, Dennis J, Michailidou K, Shah M, Conroy DM, Harrington PA, Mayes R, Czene K, Hall P, Teras LR, Patel AV, Couch FJ, Olson JE, Sawyer EJ, Roylance R, Bojesen SE, Flyger H, Lambrechts D, Baten A, Matsuo K, Ito H, Guénel P, Truong T, Keeman R, Schmidt MK, Wu AH, Tseng CC, Cox A, Cross SS, Andrulis IL, Hopper JL, Southey MC, Wu PE, Shen CY, Fasching PA, Ekici AB, Muir K, Lophatananon A, Brenner H, Arndt V, Jones ME, Swerdlow AJ, Hoppe R, Ko YD, Hartman M, Li J, Mannermaa A, Hartikainen JM, Benitez J, González-Neira A, Haiman CA, Dörk T, Bogdanova NV, Teo SH, Mohd Taib NA, Fletcher O, Johnson N, Grip M, Winqvist R, Blomqvist C, Nevanlinna H, Lindblom A, Wendt C, Kristensen VN, Tollenaar RAEM, Heemskerk-Gerritsen BAM, Radice P, Bonanni B, Hamann U, Manoochehri M, Lacey JV, Martinez ME, Dunning AM, Pharoah PDP, Easton DF, Yoo KY, Kang D. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies? Cancers (Basel) 2021; 13:2370. [PMID: 34069208 PMCID: PMC8156547 DOI: 10.3390/cancers13102370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 04/29/2021] [Accepted: 04/30/2021] [Indexed: 12/24/2022] Open
Abstract
In this study we aim to examine gene-environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10-3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10-4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.
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Affiliation(s)
- JooYong Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (J.P.); (S.C.); (S.K.P.); (D.K.)
- BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (J.P.); (S.C.); (S.K.P.); (D.K.)
- BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Korea
- Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul 03080, Korea;
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; (W.H.); (D.-Y.N.)
| | - Jaesung Choi
- Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul 03080, Korea;
| | - Seokang Chung
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (J.P.); (S.C.); (S.K.P.); (D.K.)
| | - Nan Song
- College of Pharmacy, Chungbuk National University, Cheongju-si 28160, Korea;
| | - Sue K. Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (J.P.); (S.C.); (S.K.P.); (D.K.)
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; (W.H.); (D.-Y.N.)
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea;
| | - Wonshik Han
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; (W.H.); (D.-Y.N.)
- Department of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Dong-Young Noh
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; (W.H.); (D.-Y.N.)
- Department of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Sei-Hyun Ahn
- Department of Surgery, Medicine and ASAN Medical Center, University of Ulsan College, Seoul 05505, Korea; (S.-H.A.); (J.W.L.)
| | - Jong Won Lee
- Department of Surgery, Medicine and ASAN Medical Center, University of Ulsan College, Seoul 05505, Korea; (S.-H.A.); (J.W.L.)
| | - Mi Kyung Kim
- Division of Cancer Epidemiology and Management, National Cancer Center, Goyang-si 10408, Korea;
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03722, Korea;
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Nicosia 23462, Cyprus
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Don M. Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Patricia A. Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Rebecca Mayes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; (K.C.); (P.H.)
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; (K.C.); (P.H.)
- Department of Oncology, Södersjukhuset, 118 83 Stockholm, Sweden
| | - Lauren R. Teras
- Department of Population Science, American Cancer Society, Atlanta, GA 30303, USA;
| | - Alpa V. Patel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; (A.V.P.); (F.J.C.)
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; (A.V.P.); (F.J.C.)
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA;
| | - Elinor J. Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy’s Campus, King’s College London, London SE1 9RT, UK;
| | - Rebecca Roylance
- Department of Oncology, UCLH Foundation Trust, London NW1 2PG, UK;
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark;
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark;
| | - Diether Lambrechts
- VIB Center for Cancer Biology, 3001 Leuve, Belgium;
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, 3000 Leuven, Belgium
| | - Adinda Baten
- Department of Radiotherapy Oncology, KU Leuven—University of Leuven, University Hospitals Leuven, 3000 Leuven, Belgium;
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan;
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan;
| | - Hidemi Ito
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan;
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, 94805 Villejuif, France; (P.G.); (T.T.)
| | - Thérèse Truong
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, 94805 Villejuif, France; (P.G.); (T.T.)
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands; (R.K.); (M.K.S.)
| | - Marjanka K. Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands; (R.K.); (M.K.S.)
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; (A.H.W.); (C.-C.T.); (C.A.H.)
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; (A.H.W.); (C.-C.T.); (C.A.H.)
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2TN, UK;
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield S10 2TN, UK;
| | - kConFab Investigators
- Peter MacCallum Cancer Center, Melbourne, VIC 3000, Australia;
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3000, Australia
| | - Irene L. Andrulis
- Fred A, Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada;
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia;
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia;
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Pei-Ei Wu
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan;
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan;
- School of Public Health, China Medical University, Taichung 404, Taiwan
| | - Peter A. Fasching
- Department of Medicine Division of Hematology and Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA;
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany
| | - Arif B. Ekici
- Institute of Human Genetics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, 91054 Erlangen, Germany;
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK; (K.M.); (A.L.)
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK; (K.M.); (A.L.)
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (H.B.); (V.A.)
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (H.B.); (V.A.)
| | - Michael E. Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK; (M.E.J.); (A.J.S.)
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK; (M.E.J.); (A.J.S.)
- Division of Breast Cancer Research, The Institute of Cancer Research, London SW7 3RP, UK
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany;
- University of Tübingen, 72074 Tübingen, Germany
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, 53177 Bonn, Germany;
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore;
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Surgery, National University Health System, Singapore 119228, Singapore
| | - Jingmei Li
- Human Genetics Division, Genome Institute of Singapore, Singapore 138672, Singapore;
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; (A.M.); (J.M.H.)
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, 70210 Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Jaana M. Hartikainen
- Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; (A.M.); (J.M.H.)
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, 70210 Kuopio, Finland
| | - Javier Benitez
- Biomedical Network on Rare Diseases (CIBERER), 28029 Madrid, Spain;
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain;
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain;
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; (A.H.W.); (C.-C.T.); (C.A.H.)
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany; (T.D.); (N.V.B.)
| | - Natalia V. Bogdanova
- Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany; (T.D.); (N.V.B.)
- Department of Radiation Oncology, Hannover Medical School, 30625 Hannover, Germany
- NN Alexandrov Research Institute of Oncology and Medical Radiology, 223040 Minsk, Belarus
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya 47500, Malaysia;
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Nur Aishah Mohd Taib
- Breast Cancer Research Unit, University Malaya Cancer Research Institute, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia;
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK; (O.F.); (N.J.)
| | - Nichola Johnson
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW7 3RP, UK; (O.F.); (N.J.)
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, 90220 Oulu, Finland;
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, 90570 Oulu, Finland;
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu 90570, Finland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland;
- Department of Oncology, Örebro University Hospital, 70185 Örebro, Sweden
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland;
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76 Stockholm, Sweden;
- Department of Clinical Genetics, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83 Stockholm, Sweden;
| | - Vessela N. Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway; (V.N.K.); (NBCS Collaborators)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway
| | - NBCS Collaborators
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway; (V.N.K.); (NBCS Collaborators)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway
- Department of Research, Vestre Viken Hospital, 3004 Drammen, Norway
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, 0450 Oslo, Norway
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-Radiumhospitalet, 0450 Oslo, Norway
- Section for Breast- and Endocrine Surgery, Department of Cancer, Division of Surgery, Cancer and Transplantation Medicine, Oslo University Hospital-Ullevål, 0450 Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0450 Oslo, Norway
- Department of Pathology at Akershus University Hospital, 1478 Lørenskog, Norway
- Department of Oncology, Division of Surgery and Cancer and Transplantation Medicine, University Hospital-Radiumhospitalet, 0405 Oslo, Norway
- National Advisory Unit on Late Effects after Cancer Treatment, Department of Oncology, Oslo University Hospital, 0405 Oslo, Norway
- Department of Oncology, Akershus University Hospital, 1478 Lørenskog, Norway
- Oslo Breast Cancer Research Consortium, Oslo University Hospital, 0405 Oslo, Norway
| | - Rob A. E. M. Tollenaar
- Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands;
| | | | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), 20133 Milan, Italy;
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy;
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (U.H.); (M.M.)
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (U.H.); (M.M.)
| | - James V. Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA 91010, USA;
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA 91010, USA
| | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92037, USA;
- Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, CA 92161, USA
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Paul D. P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK; (M.K.B.); (Q.W.); (J.D.); (K.M.); (P.D.P.P.); (D.F.E.)
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; (M.S.); (D.M.C.); (P.A.H.); (R.M.); (A.M.D.)
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea;
| | - Daehee Kang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (J.P.); (S.C.); (S.K.P.); (D.K.)
- Cancer Research Institute, Seoul National University, Seoul 03080, Korea; (W.H.); (D.-Y.N.)
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea;
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Takahashi PY, Ryu E, Cerhan JR, Bielinski SJ, Olson JE. Pathway to Ascertain the Role of Pharmacogenomics in Healthcare Utilization Outcomes [Response to Letter]. Pharmgenomics Pers Med 2021; 14:545-546. [PMID: 33986611 PMCID: PMC8111333 DOI: 10.2147/pgpm.s316851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 04/21/2021] [Indexed: 11/23/2022]
Affiliation(s)
- Paul Y Takahashi
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Euijung Ryu
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
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49
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Saadatagah S, Jose M, Dikilitas O, Alhalabi L, Miller AA, Fan X, Olson JE, Kochan DC, Safarova M, Kullo IJ. Genetic basis of hypercholesterolemia in adults. NPJ Genom Med 2021; 6:28. [PMID: 33854068 PMCID: PMC8046820 DOI: 10.1038/s41525-021-00190-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/26/2021] [Indexed: 12/31/2022] Open
Abstract
We investigated monogenic and polygenic causes of hypercholesterolemia in a population-based cohort, excluding secondary hypercholesterolemia, and using an established framework to identify pathogenic variants. We studied 1682 individuals (50.2 ± 8.6 years, 41.3% males) from southeast Minnesota with primary hypercholesterolemia (low-density lipoprotein cholesterol (LDL-C) ≥155 mg/dl in the absence of identifiable secondary causes). Familial hypercholesterolemia (FH) phenotype was defined as a Dutch Lipid Clinic Network (DLCN) score ≥6. Participants underwent sequencing of LDLR, APOB, and PCSK9, and genotyping of 12 LDL-C-associated single-nucleotide variants to construct a polygenic score (PGS) for LDL-C. The presence of a pathogenic/likely pathogenic variant was considered monogenic etiology and a PGS ≥90th percentile was considered polygenic etiology. The mean LDL-C level was 187.3 ± 32.3 mg/dl and phenotypic FH was present in 8.4% of the cohort. An identifiable genetic etiology was present in 17.1% individuals (monogenic in 1.5% and polygenic in 15.6%). Phenotypic and genetic FH showed poor overlap. Only 26% of those who met the clinical criteria of FH had an identifiable genetic etiology and of those with an identifiable genetic etiology only 12.9% met clinical criteria for FH. Genetic factors explained 7.4% of the variance in LDL-C. In conclusion, in adults with primary hypercholesterolemia, 17.1% had an identifiable genetic etiology and the overlap between phenotypic and genetic FH was modest.
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Affiliation(s)
| | - Merin Jose
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ozan Dikilitas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lubna Alhalabi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Xiao Fan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - David C Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Maya Safarova
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. .,Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.
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50
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Adjei AA, Lopez CL, Schaid DJ, Sloan JA, Le-Rademacher JG, Loprinzi CL, Norman AD, Olson JE, Couch FJ, Beutler AS, Vachon CM, Ruddy KJ. Genetic Predictors of Chemotherapy-Induced Peripheral Neuropathy from Paclitaxel, Carboplatin and Oxaliplatin: NCCTG/Alliance N08C1, N08CA and N08CB Study. Cancers (Basel) 2021; 13:1084. [PMID: 33802509 PMCID: PMC7959452 DOI: 10.3390/cancers13051084] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/17/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and potentially permanent adverse effect of chemotherapeutic agents including taxanes such as paclitaxel and platinum-based compounds such as oxaliplatin and carboplatin. Previous studies have suggested that genetics may impact the risk of CIPN. We conducted genome-wide association studies (GWASs) for CIPN in two independent populations who had completed European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-CIPN20 assessments (a CIPN-specific 20-item questionnaire which includes three scales that evaluate sensory, autonomic, and motor symptoms). The study population N08Cx included 692 participants from three clinical trials (North Central Cancer Treatment Group (NCCTG) N08C1, N08CA, and N08CB) who had been treated with paclitaxel, paclitaxel plus carboplatin, or oxaliplatin. The primary endpoint for the GWAS was the change from pre-chemotherapy CIPN20 sensory score to the worse score over the following 18 weeks. Study population The Mayo Clinic Breast Disease Registry (MCBDR) consisted of 381 Mayo Clinic Breast Disease Registry enrollees who had been treated with taxane or platinum-based chemotherapy. The primary endpoint for the GWAS assessed was the earliest CIPN20 sensory score available after the completion of chemotherapy. In multivariate model analyses, chemotherapy regimen (p = 3.0 × 10-8) and genetic ancestry (p = 0.007) were significantly associated with CIPN in the N08Cx population. Only age (p = 0.0004) was significantly associated with CIPN in the MCBDR population. The SNP most associated with CIPN was rs56360211 near PDE6C (p =7.92 × 10-8) in N08Cx and rs113807868 near TMEM150C in the MCBDR (p = 1.27 × 10-8). Due to a lack of replication, we cannot conclude that we identified any genetic predictors of CIPN.
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Affiliation(s)
- Araba A. Adjei
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
| | - Camden L. Lopez
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Daniel J. Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Jeff A. Sloan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN 55905, USA
| | - Jennifer G. Le-Rademacher
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN 55905, USA
| | - Charles L. Loprinzi
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Aaron D. Norman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Andreas S. Beutler
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Celine M. Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Kathryn J. Ruddy
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
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