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Zhang KC, Chu SY, Ding DC. High-grade serous carcinoma of the fallopian tube in a young woman with chromosomal 4q abnormality: A case report. World J Clin Cases 2024; 12:3539-3547. [PMID: 38983400 PMCID: PMC11229890 DOI: 10.12998/wjcc.v12.i18.3539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/23/2024] [Accepted: 05/07/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Few studies have reported an association between an increased risk of acquiring cancers and survival in patients with 4q deletion syndrome. This study presents a rare association between chromosome 4q abnormalities and fallopian tube high-grade serous carcinoma (HGSC) in a young woman. CASE SUMMARY A 35-year-old woman presented with acute dull abdominal pain and a known chromosomal abnormality involving 4q13.3 duplication and 4q23q24 deletion. Upon arrival at the emergency room, her abdomen appeared ovoid and distended with palpable shifting dullness. Ascites were identified through abdominal ultrasound, and computed tomography revealed an omentum cake and an enlarged bilateral adnexa. Blood tests showed elevated CA-125 levels. Paracentesis was conducted, and immunohistochemistry indicated that the cancer cells favored an ovarian origin, making us suspect ovarian cancer. The patient underwent debulking surgery, which led to a diagnosis of stage IIIC HGSC of the fallopian tube. Subsequently, the patient received adjuvant chemotherapy with carboplatin and paclitaxel, resulting in stable current condition. CONCLUSION This study demonstrates a rare correlation between a chromosome 4q abnormality and HGSC. UBE2D3 may affect crucial cancer-related pathways, including P53, BRCA, cyclin D, and tyrosine kinase receptors, thereby possibly contributing to cancer development. In addition, ADH1 and DDIT4 may be potential influencers of both carcinogenic and therapeutic responses.
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Affiliation(s)
- Kai-Cheng Zhang
- Department of Obstetrics and Gynecology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, Hualien 970, Taiwan
| | - Shao-Yin Chu
- Department of Pediatrics, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, Hualien 970, Taiwan
| | - Dah-Ching Ding
- Department of Obstetrics and Gynecology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, Hualien 970, Taiwan
- Institute of Medical Sciences, Tzu Chi University, Hualien 970, Taiwan
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2
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Haga SB, Orlando LA. Expanding Family Health History to Include Family Medication History. J Pers Med 2023; 13:jpm13030410. [PMID: 36983592 PMCID: PMC10053261 DOI: 10.3390/jpm13030410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/13/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
The collection of family health history (FHH) is an essential component of clinical practice and an important piece of data for patient risk assessment. However, family history data have generally been limited to diseases and have not included medication history. Family history was a key component of early pharmacogenetic research, confirming the role of genes in drug response. With the substantial number of known pharmacogenes, many affecting response to commonly prescribed medications, and the availability of clinical pharmacogenetic (PGx) tests and guidelines for interpretation, the collection of family medication history can inform testing decisions. This paper explores the roots of family-based pharmacogenetic studies to confirm the role of genes in these complex phenotypes and the benefits and challenges of collecting family medication history as part of family health history intake.
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3
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Kumerow MT, Rodriguez JL, Dai S, Kolor K, Rotunno M, Peipins LA. Prevalence of Americans reporting a family history of cancer indicative of increased cancer risk: Estimates from the 2015 National Health Interview Survey. Prev Med 2022; 159:107062. [PMID: 35460723 PMCID: PMC9162122 DOI: 10.1016/j.ypmed.2022.107062] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/06/2022] [Accepted: 04/15/2022] [Indexed: 11/27/2022]
Abstract
The collection and evaluation of family health history in a clinical setting presents an opportunity to discuss cancer risk, tailor cancer screening recommendations, and identify people with an increased risk of carrying a pathogenic variant who may benefit from referral to genetic counseling and testing. National recommendations for breast and colorectal cancer screening indicate that men and women who have a first-degree relative affected with these types of cancers may benefit from talking to a healthcare provider about starting screening at an earlier age and other options for cancer prevention. The prevalence of reporting a first-degree relative who had cancer was assessed among adult respondents of the 2015 National Health Interview Survey who had never had cancer themselves (n = 27,999). We found 35.6% of adults reported having at least one first-degree relative with cancer at any site. Significant differences in reporting a family history of cancer were observed by sex, age, race/ethnicity, educational attainment, and census region. Nearly 5% of women under age 50 and 2.5% of adults under age 50 had at least one first-degree relative with breast cancer or colorectal cancer, respectively. We estimated that 5.8% of women had a family history of breast or ovarian cancer that may indicate increased genetic risk. A third of U.S. adults who have never had cancer report a family history of cancer in a first-degree relative. This finding underscores the importance of using family history to inform discussions about cancer risk and screening options between healthcare providers and their patients.
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Affiliation(s)
- Marie T Kumerow
- Tanaq Support Services, LLC, 3201 C St Site 602, Anchorage, AK 99503, USA.
| | - Juan L Rodriguez
- Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS S107-4, Atlanta, GA 30341, USA.
| | - Shifan Dai
- Cyberdata Technologies, Inc., 455 Springpark Pl # 300, Herndon, VA 20701, USA.
| | - Katherine Kolor
- Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, 2500 Century Parkway NE, MS V25-5, Atlanta, GA 30345, USA.
| | - Melissa Rotunno
- Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Dr RM 4E548, Bethesda, MD 20892, USA.
| | - Lucy A Peipins
- Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS S107-4, Atlanta, GA 30341, USA.
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4
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ÖZÇELİK H, GÖZÜM S, ŞENOL COŞKUN H. The Effect of Individual Education on the Participation of Relatives of Cancer Patients in General Health and Cancer Screenings: A One Group Pretest-Post Test Study. CLINICAL AND EXPERIMENTAL HEALTH SCIENCES 2022. [DOI: 10.33808/clinexphealthsci.1026570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Objective: The aim of this study was to evaluate whether or not there were changes in the behaviors of relatives of cancer patients such as learning the warning signs of cancer, engaging in cancer prevention strategies, and participating in screenings after education sessions in the clinic. Methods: This one-group pretest-posttest study was conducted with 238 relatives in a medical oncology clinic in Antalya, Turkey. Individual education sessions were conducted as an intervention, banners were hung about cancer, and general health information on checkups in the form of leaflets were distributed to each relative regarding cancer screenings. Reminder messages were sent to individuals to participate in screenings one and two months after the first interview. The posttest data were collected by phone in the third month. Four questionnaires were prepared based on the literature and national cancer screening standards. The face validity of the tools was evaluated by three experts and 15 relatives who not included as participants. Results: The rate of having a mammography increased from 19.8% to 33.9%, rates of having the fecal occult blood test increased from 16.9% to 23.8%, and rates of having the HPV test increased from 43.5% to 49.6%. The rate of having blood pressure checks within the last 12 months increased from 75.8% to 83.1%, rates of blood cholesterol measurement increased from 68.5% to 79%, and rates of blood glucose measurement increased from 70.2% to 79%. Conclusion: Education provided to the relatives increased participation in screenings.
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5
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Sottili V, Signoroni S, Barretta F, Azzollini J, Manoukian S, Luksch R, Terenziani M, Casanova M, Spreafico F, Meazza C, Podda M, Biassoni V, Schiavello E, Chiaravalli S, Massimino M, Gasparini P, Ferrari A. Correlation between oncological family history and clinical outcome in a large monocentric cohort of pediatric patients with rhabdomyosarcoma. Int J Clin Oncol 2021; 26:1561-1568. [PMID: 34075482 DOI: 10.1007/s10147-021-01934-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/08/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Rhabdomyosarcoma (RMS), an aggressive soft tissue sarcoma of the skeletal muscle generally affecting children and adolescents, shows extensive heterogeneity in histology, site and age of onset, clinical course, and prognosis. Tumorigenesis of RMS is multifactorial and genetic predisposition together with the family history of cancer may provide critical information to enhance the current knowledge and foster genetic counseling and testing. METHODS In our study, we evaluated the possible correlation of oncological family history with clinical outcomes in a cohort of RMS 512 patients and treated at the Pediatric Oncology Unit of our Institute. Family history was retrospectively collected from the specific ad hoc form available in medical records and filled in through an interview with the patients' parents at the time of RMS diagnosis. RESULTS While our series did not show a specific association between oncological family history and clinical variables, we observed an association with survival probabilities: among patients with a history of cancer-affected first-degree relatives at the time of the diagnosis, all children with alveolar RMS (ARMS) died of disease. CONCLUSION Our study not only reports an interesting and not previously described association between a poor clinical outcome and ARMS in patients with young cancer-affected relatives, but also stimulates the discussion on oncological family history in RMS, to improve the clinical management of these young patients and their families.
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Affiliation(s)
- Valentina Sottili
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Stefano Signoroni
- Unit of Hereditary Digestive Tract Tumors, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Francesco Barretta
- Clinical Epidemiology and Trial Organization Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Roberto Luksch
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Monica Terenziani
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Michela Casanova
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Filippo Spreafico
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Cristina Meazza
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marta Podda
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Veronica Biassoni
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elisabetta Schiavello
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Stefano Chiaravalli
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Maura Massimino
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Patrizia Gasparini
- Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
| | - Andrea Ferrari
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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6
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Cummings S, Roman SS, Saam J, Bernhisel R, Brown K, Lancaster JM, Usha L. Age of ovarian cancer diagnosis among BRIP1, RAD51C, and RAD51D mutation carriers identified through multi-gene panel testing. J Ovarian Res 2021; 14:61. [PMID: 33926482 PMCID: PMC8086272 DOI: 10.1186/s13048-021-00809-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 04/13/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Professional society guidelines recommend risk-reducing salpingo-oophorectomy (RRSO) for women with pathogenic variants (PVs) in ovarian cancer-risk genes. Personalization of that intervention is based on gene-specific phenotypes; however, the age of ovarian cancer diagnosis in women with PVs in moderate penetrance ovarian cancer-risk genes is not well characterized. Women who had hereditary cancer panel testing from September 2013-May 2019 were included (N = 631,950). Clinical/demographic information was compared for women with a PV in BRIP1, RAD51C, or RAD51D versus in BRCA1 or BRCA2. RESULTS PVs in BRIP1, RAD51C, or RAD51D were identified in 0.5% of all tested women but in 1.6% of women with a history of ovarian cancer (~ 3-fold increase). PVs in BRCA1 or BRCA2 were identified in 2.4% of all tested women but in 6.1% of women with a history of ovarian cancer (~ 2.5-fold increase). The proportion of women with a personal or family history of ovarian cancer was similar among women with a PV in BRIP1, RAD51C, RAD51D, BRCA1, or BRCA2. The median age at ovarian cancer diagnosis was 53 years for BRCA1, 59 years for BRCA2, 65 years for BRIP1, 62 years for RAD51C, and 57 years for RAD51D. CONCLUSIONS These data reinforce the importance of identifying PVs in moderate penetrance ovarian cancer-risk genes. The age at ovarian cancer diagnosis was older for women with PVs in BRIP1, RAD51C, or RAD51D, suggesting that it is safe to delay RRSO until age 45-50 in RAD51D PV carriers and possibly until age 50-55 in BRIP and RAD51C PV carriers.
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Affiliation(s)
| | | | | | | | | | | | - Lydia Usha
- The Rush Cancer Institute, Rush University, 1725 W. Harrison St. #309, Chicago, IL, 60612, USA.
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7
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Zeinomar N, Knight JA, Genkinger JM, Phillips KA, Daly MB, Milne RL, Dite GS, Kehm RD, Liao Y, Southey MC, Chung WK, Giles GG, McLachlan SA, Friedlander ML, Weideman PC, Glendon G, Nesci S, Andrulis IL, Buys SS, John EM, MacInnis RJ, Hopper JL, Terry MB. Alcohol consumption, cigarette smoking, and familial breast cancer risk: findings from the Prospective Family Study Cohort (ProF-SC). Breast Cancer Res 2019; 21:128. [PMID: 31779655 PMCID: PMC6883541 DOI: 10.1186/s13058-019-1213-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 10/15/2019] [Indexed: 12/20/2022] Open
Abstract
Background Alcohol consumption and cigarette smoking are associated with an increased risk of breast cancer (BC), but it is unclear whether these associations vary by a woman’s familial BC risk. Methods Using the Prospective Family Study Cohort, we evaluated associations between alcohol consumption, cigarette smoking, and BC risk. We used multivariable Cox proportional hazard models to estimate hazard ratios (HR) and 95% confidence intervals (CI). We examined whether associations were modified by familial risk profile (FRP), defined as the 1-year incidence of BC predicted by Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), a pedigree-based algorithm. Results We observed 1009 incident BC cases in 17,435 women during a median follow-up of 10.4 years. We found no overall association of smoking or alcohol consumption with BC risk (current smokers compared with never smokers HR 1.02, 95% CI 0.85–1.23; consuming ≥ 7 drinks/week compared with non-regular drinkers HR 1.10, 95% CI 0.92–1.32), but we did observe differences in associations based on FRP and by estrogen receptor (ER) status. Women with lower FRP had an increased risk of ER-positive BC associated with consuming ≥ 7 drinks/week (compared to non-regular drinkers), whereas there was no association for women with higher FRP. For example, women at the 10th percentile of FRP (5-year BOADICEA = 0.15%) had an estimated HR of 1.46 (95% CI 1.07–1.99), whereas there was no association for women at the 90th percentile (5-year BOADICEA = 4.2%) (HR 1.07, 95% CI 0.80–1.44). While the associations with smoking were not modified by FRP, we observed a positive multiplicative interaction by FRP (pinteraction = 0.01) for smoking status in women who also consumed alcohol, but not in women who were non-regular drinkers. Conclusions Moderate alcohol intake was associated with increased BC risk, particularly for women with ER-positive BC, but only for those at lower predicted familial BC risk (5-year BOADICEA < 1.25). For women with a high FRP (5-year BOADICEA ≥ 6.5%) who also consumed alcohol, being a current smoker was associated with increased BC risk.
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Affiliation(s)
- Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Rebecca D Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Yuyan Liao
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.,Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Wendy K Chung
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.,Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Parkville, Victoria, Australia.,Department of Medical Oncology, St Vincent's Hospital, Fitzroy, Victoria, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Department of Medical Oncology, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.,Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health Sciences Center, Salt Lake City, UT, USA
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, Room 1611, New York, NY, 10032, USA. .,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
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8
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Greenberg S, Buys SS, Edwards SL, Espinel W, Fraser A, Gammon A, Hafen B, Herget KA, Kohlmann W, Roundy C, Sweeney C. Population prevalence of individuals meeting criteria for hereditary breast and ovarian cancer testing. Cancer Med 2019; 8:6789-6798. [PMID: 31531966 PMCID: PMC6825998 DOI: 10.1002/cam4.2534] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 08/13/2019] [Accepted: 08/14/2019] [Indexed: 12/21/2022] Open
Abstract
Background Personal cancer diagnosis and family cancer history factor into which individuals should undergo genetic testing for hereditary breast and ovarian cancer (HBOC) syndrome. Family history is often determined in the research setting through kindreds with disease clusters, or clinically from self‐report. The population prevalence of individuals with diagnostic characteristics and/or family cancer history meeting criteria for HBOC testing is unknown. Methods Utilizing Surveillance, Epidemiology, and End Results (SEER) cancer registry data and a research resource linking registry records to genealogies, the Utah Population Database, the population‐based prevalence of diagnostic and family history characteristics meeting National Comprehensive Cancer Network (NCCN) criteria for HBOC testing was objectively assessed. Results Among Utah residents with an incident breast cancer diagnosis 2010‐2015 and evaluable for family history, 21.6% met criteria for testing based on diagnostic characteristics, but the proportion increased to 62.9% when family history was evaluated. The proportion of cases meeting testing criteria at diagnosis was 94% for ovarian cancer, 23% for prostate cancer, and 51.1% for pancreatic cancer. Among an unaffected Utah population of approximately 1.7 million evaluable for family history, 197,601 or 11.6% met testing criteria based on family history. Conclusions This study quantifies the population‐based prevalence of HBOC criteria using objectively determined genealogy and cancer incidence data. Sporadic breast cancer likely represents a portion of the high prevalence of family cancer history seen in this study. These results underline the importance of establishing presence of a deleterious mutation in an affected family member, per NCCN guidelines, before testing unaffected relatives.
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Affiliation(s)
| | - Saundra S Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | | | - Whitney Espinel
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Alison Fraser
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Amanda Gammon
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Brent Hafen
- Intermountain Healthcare, Salt Lake City, Utah
| | | | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | | | - Carol Sweeney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah.,Utah Cancer Registry, University of Utah, Salt Lake City, Utah
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9
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John EM, Canchola AJ, Sangaramoorthy M, Koo J, Whittemore AS, West DW. Race/Ethnicity and Accuracy of Self-Reported Female First-Degree Family History of Breast and Other Cancers in the Northern California Breast Cancer Family Registry. Cancer Epidemiol Biomarkers Prev 2019; 28:1792-1801. [PMID: 31488412 DOI: 10.1158/1055-9965.epi-19-0444] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 06/18/2019] [Accepted: 08/27/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Few studies have evaluated accuracy of self-reported family history of breast and other cancers in racial/ethnic minorities. METHODS We assessed the accuracy of cancer family history reports by women with breast cancer (probands) from the Northern California Breast Cancer Family Registry compared with 2 reference standards: personal cancer history reports by female first-degree relatives and California Cancer Registry records. RESULTS Probands reported breast cancer in first-degree relatives with high accuracy, but accuracy was lower for other cancers. Sensitivity (percentage correctly identifying relatives with cancer) was 93% [95% confidence interval (CI), 89.5-95.4] when compared with the relatives' self-report of breast cancer as the reference standard and varied little by proband race/ethnicity and other demographic factors, except for marginally lower sensitivity for Hispanic white probands (87.3%; 95% CI, 78.0-93.1; P = 0.07) than non-Hispanic white probands (95.1%; 95% CI, 88.9-98.0). Accuracy was also high when compared with cancer registry records as the reference standard, with a sensitivity of 95.5% (95% CI, 93.4-96.9) for breast cancer, but lower sensitivity for Hispanic white probands (91.2%; 95% CI, 84.4-95.2; P = 0.05) and probands with low English language proficiency (80%; 95% CI, 52.8-93.5; P < 0.01). CONCLUSIONS Non-Hispanic white, African American, and Asian American probands reported first-degree breast cancer family history with high accuracy, although sensitivity was lower for Hispanic white probands and those with low English language proficiency. IMPACT Self-reported family history of breast cancer in first-degree relatives is highly accurate and can be used as a reliable standard when other validation methods are not available.
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Affiliation(s)
- Esther M John
- Cancer Prevention Institute of California, Fremont, California. .,Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, California.,Department of Health Research and Policy (Epidemiology), Stanford University of School of Medicine, Stanford, California.,Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Alison J Canchola
- Cancer Prevention Institute of California, Fremont, California.,Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Meera Sangaramoorthy
- Cancer Prevention Institute of California, Fremont, California.,Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Jocelyn Koo
- Cancer Prevention Institute of California, Fremont, California.,Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Alice S Whittemore
- Department of Health Research and Policy (Epidemiology), Stanford University of School of Medicine, Stanford, California.,Department of Biomedical Data Science, Stanford University of School of Medicine, Stanford, California
| | - Dee W West
- Cancer Prevention Institute of California, Fremont, California.,Department of Health Research and Policy (Epidemiology), Stanford University of School of Medicine, Stanford, California
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10
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Welch BM, Wiley K, Pflieger L, Achiangia R, Baker K, Hughes-Halbert C, Morrison H, Schiffman J, Doerr M. Review and Comparison of Electronic Patient-Facing Family Health History Tools. J Genet Couns 2018; 27:381-391. [PMID: 29512060 PMCID: PMC5861014 DOI: 10.1007/s10897-018-0235-7] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 02/05/2018] [Indexed: 01/23/2023]
Abstract
Family health history (FHx) is one of the most important pieces of information available to help genetic counselors and other clinicians identify risk and prevent disease. Unfortunately, the collection of FHx from patients is often too time consuming to be done during a clinical visit. Fortunately, there are many electronic FHx tools designed to help patients gather and organize their own FHx information prior to a clinic visit. We conducted a review and analysis of electronic FHx tools to better understand what tools are available, to compare and contrast to each other, to highlight features of various tools, and to provide a foundation for future evaluation and comparisons across FHx tools. Through our analysis, we included and abstracted 17 patient-facing electronic FHx tools and explored these tools around four axes: organization information, family history collection and display, clinical data collected, and clinical workflow integration. We found a large number of differences among FHx tools, with no two the same. This paper provides a useful review for health care providers, researchers, and patient advocates interested in understanding the differences among the available patient-facing electronic FHx tools.
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Affiliation(s)
- Brandon M Welch
- Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
- ItRunsInMyFamily.com, Inc., Charleston, SC, USA.
| | - Kevin Wiley
- Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Lance Pflieger
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Rosaline Achiangia
- Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Karen Baker
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Chanita Hughes-Halbert
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | | | - Joshua Schiffman
- ItRunsInMyFamily.com, Inc., Charleston, SC, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
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11
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The association between cancer family history and ovarian cancer risk in BRCA1/2 mutation carriers: can it be explained by the mutation position? Eur J Hum Genet 2018; 26:848-857. [PMID: 29483665 DOI: 10.1038/s41431-018-0111-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 12/07/2017] [Accepted: 01/23/2018] [Indexed: 12/21/2022] Open
Abstract
This observational study aimed to investigate whether the reported association between family history (FH) of breast cancer (BC) or ovarian cancer (OC) and OC risks in BRCA1/2 mutation carriers can be explained by mutation position on the gene. In total, 3310 female BRCA1/2 mutation carriers participating in a nationwide prospective cohort (Hereditary Breast and Ovarian Cancer in the Netherlands) were included. FH was classified according to cancer occurrence in first-degree relatives (BC only, OC only, both, neither) and mutations were classified according to their position on the gene (OC cluster region (OCCR), BC cluster region, neither). The main outcome was OC occurrence. Cox proportional-hazard models were applied to investigate the association between FH and OC risks before and after adjusting for mutation position. Of all women included, 202 were diagnosed with OC. A BC-only FH tended to be associated with lower OC risks when compared with a FH without BC/OC (HR: 0.79, 95% CI: 0.52-1.17; HR: 0.59, 95% CI: 0.33-1.07 for BRCA1 and BRCA2, respectively) while an OC-only FH tended to be associated with higher risks (HR: 1.58, 95% CI: 0.90-2.77; HR: 1.75, 95% CI: 0.70-4.37 for BRCA1 and BRCA2, respectively). After adjusting for mutation position, association between FH and OC risks was slightly smaller in magnitude (HR: 0.85, 95% CI: 0.55-1.30; HR: 0.64, 95% CI: 0.34-1.21 for BC-only FH in BRCA1 and BRCA2, respectively; HR: 1.46, 95% CI: 0.80-2.68; HR: 1.49, 95% CI: 0.44-4.02 for OC-only FH in BRCA1 and BRCA2, respectively), indicating that mutation position explains only part of the association. Considering the magnitude of the observed trend, we do not believe FH should be used to change counseling regarding OC prevention.
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12
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Lin J, Marcum CS, Wilkinson AV, Koehly LM. Developing Shared Appraisals of Diabetes Risk Through Family Health History Feedback: The Case of Mexican-Heritage Families. Ann Behav Med 2018; 52:262-271. [PMID: 29538667 PMCID: PMC6693036 DOI: 10.1093/abm/kax037] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Background Collecting complete and accurate family health history is critical to preventing type 2 diabetes. Purpose We seek to identify the optimal risk feedback approach that facilitates risk communication between parents and their adult children and helps them develop shared appraisals of family history of type 2 diabetes. Methods In a sample of parent-adult child dyads from 125 Mexican-heritage families residing in Houston, Texas, we examine change in parent-child dyadic (dis)agreement with respect to their shared family health history from baseline to 10 months after receipt of risk feedback generated by Family Healthware. A 2 × 2 factorial design is applied to test how the recipient (one parent or all family members) and the content (risk assessment with or without behavioral recommendations) of the feedback affect (dis)agreement through interpersonal ties, particularly dyadic risk communication. Results Providing risk assessment without behavioral recommendations to the parent, but not the adult child, shifts the dyads toward agreement (relative risk ratio [RRR]= 1.78, 95% confidence interval [CI] [1.18-2.67]), by activating reciprocal risk communication between parents and children (RRR =2.70, 95% CI [1.81-4.03]). Dyads with close interpersonal ties are more likely to shift toward agreement (RRR = 3.09, 95% CI [1.89-5.07]). Conclusion Programs aimed at improving family health history knowledge and accuracy of reports should tailor risk feedback strategically for better intervention effect and leverage a network approach in disease prevention among at-risk minority and/or immigrant populations. Trial Registration Number NCT00469339.
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Affiliation(s)
- Jielu Lin
- National Human Genome Research Institute, Bethesda, MD, USA
| | | | | | - Laura M Koehly
- National Human Genome Research Institute, Bethesda, MD, USA
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13
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Lin J, Marcum CS, Myers MF, Koehly LM. Put the Family Back in Family Health History: A Multiple-Informant Approach. Am J Prev Med 2017; 52:640-644. [PMID: 28062275 PMCID: PMC5401648 DOI: 10.1016/j.amepre.2016.11.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 10/21/2016] [Accepted: 11/08/2016] [Indexed: 11/23/2022]
Abstract
INTRODUCTION An accurate family health history is essential for individual risk assessment. This study uses a multiple-informant approach to examine whether family members have consistent perceptions of shared familial risk for four common chronic conditions (heart disease, Type 2 diabetes, high cholesterol, and hypertension) and whether accounting for inconsistency in family health history reports leads to more accurate risk assessment. METHODS In 2012-2013, individual and family health histories were collected from 127 adult informants of 45 families in the Greater Cincinnati Area. Pedigrees were linked within each family to assess inter-informant (in)consistency regarding common biological family member's health history. An adjusted risk assessment based on pooled pedigrees of multiple informants was evaluated to determine whether it could more accurately identify individuals affected by common chronic conditions, using self-reported disease diagnoses as a validation criterion. Analysis was completed in 2015-2016. RESULTS Inter-informant consistency in family health history reports was 54% for heart disease, 61% for Type 2 diabetes, 43% for high cholesterol, and 41% for hypertension. Compared with the unadjusted risk assessment, the adjusted risk assessment correctly identified an additional 7%-13% of the individuals who had been diagnosed, with a ≤2% increase in cases that were predicted to be at risk but had not been diagnosed. CONCLUSIONS Considerable inconsistency exists in individual knowledge of their family health history. Accounting for such inconsistency can, nevertheless, lead to a more accurate genetic risk assessment tool. A multiple-informant approach is potentially powerful when coupled with technology to support clinical decisions.
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Affiliation(s)
- Jielu Lin
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland.
| | - Christopher S Marcum
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland
| | - Melanie F Myers
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland
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14
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Uncertainty quantification in breast cancer risk prediction models using self-reported family health history. J Clin Transl Sci 2017; 1:53-59. [PMID: 28670484 PMCID: PMC5483939 DOI: 10.1017/cts.2016.9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 10/11/2016] [Indexed: 12/24/2022] Open
Abstract
Introduction. Family health history (FHx) is an important factor in breast and ovarian cancer risk assessment. As such, multiple risk prediction models rely strongly on FHx data when identifying a patient’s risk. These models were developed using verified information and when translated into a clinical setting assume that a patient’s FHx is accurate and complete. However, FHx information collected in a typical clinical setting is known to be imprecise and it is not well understood how this uncertainty may affect predictions in clinical settings. Methods. Using Monte Carlo simulations and existing measurements of uncertainty of self-reported FHx, we show how uncertainty in FHx information can alter risk classification when used in typical clinical settings. Results. We found that various models ranged from 52% to 64% for correct tier-level classification of pedigrees under a set of contrived uncertain conditions, but that significant misclassification are not negligible. Conclusions. Our work implies that (i) uncertainty quantification needs to be considered when transferring tools from a controlled research environment to a more uncertain environment (i.e, a health clinic) and (ii) better FHx collection methods are needed to reduce uncertainty in breast cancer risk prediction in clinical settings.
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15
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Vos JR, Oosterwijk JC, Aalfs CM, Rookus MA, Adank MA, van der Hout AH, van Asperen CJ, Gómez Garcia EB, Mensenkamp AR, Jager A, Ausems MGEM, Mourits MJ, de Bock GH. Bias Explains Most of the Parent-of-Origin Effect on Breast Cancer Risk in BRCA1/2 Mutation Carriers. Cancer Epidemiol Biomarkers Prev 2016; 25:1251-8. [PMID: 27277847 DOI: 10.1158/1055-9965.epi-16-0182] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 05/27/2016] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Paternal transmission of a BRCA mutation has been reported to increase the risk of breast cancer in offspring more than when the mutation is maternally inherited. As this effect might be caused by referral bias, the aim of this study was to assess the parent-of-origin effect of the BRCA1/2 mutation on the breast cancer lifetime risk, when adjusted for referral bias. METHODS A Dutch national cohort including 1,314 proven BRCA1/2 mutation carriers and covering 54,752 person years. Data were collected by family cancer clinics, via questionnaires and from the national Dutch Cancer Registry. The parent-of-origin effect was assessed using Cox regression analyses, both unadjusted and adjusted for referral bias. Referral bias was operationalized by number of relatives with cancer and by personal cancer history. RESULTS The mutation was of paternal origin in 330 (42%, P < 0.001) BRCA1 and 222 (42%, P < 0.001) BRCA2 carriers. Paternal origin increased the risk of prevalent breast cancer for BRCA1 [HR, 1.54; 95% confidence interval (CI), 1.19-2.00] and BRCA2 carriers (HR, 1.40; 95% CI, 0.95-2.06). Adjusted for referral bias by several family history factors, these HRs ranged from 1.41 to 1.83 in BRCA1 carriers and 1.27 to 1.62 in BRCA2 carriers. Adjusted for referral bias by personal history, these HRs were 0.66 (95% CI, 0.25-1.71) and 1.14 (95% CI, 0.42-3.15), respectively. CONCLUSION A parent-of-origin effect is present after correction for referral bias by family history, but correction for the personal cancer history made the effect disappear. IMPACT There is no conclusive evidence regarding incorporating a BRCA1/2 parent-of-origin effect in breast cancer risk prediction models. Cancer Epidemiol Biomarkers Prev; 25(8); 1251-8. ©2016 AACR.
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Affiliation(s)
- Janet R Vos
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
| | - Jan C Oosterwijk
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Cora M Aalfs
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, the Netherlands
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Muriel A Adank
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam, the Netherlands
| | - Annemarie H van der Hout
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Encarna B Gómez Garcia
- Department of Clinical Genetics and GROW, School for Oncology and Developmental Biology, MUMC, Maastricht, the Netherlands
| | - Arjen R Mensenkamp
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Family Cancer Clinic, Erasmus University MC Cancer Institute, Rotterdam, the Netherlands
| | - Margreet G E M Ausems
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Marian J Mourits
- Department of Gynecological Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Geertruida H de Bock
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Terry MB, Phillips KA, Daly MB, John EM, Andrulis IL, Buys SS, Goldgar DE, Knight JA, Whittemore AS, Chung WK, Apicella C, Hopper JL. Cohort Profile: The Breast Cancer Prospective Family Study Cohort (ProF-SC). Int J Epidemiol 2016; 45:683-92. [PMID: 26174520 PMCID: PMC5005937 DOI: 10.1093/ije/dyv118] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- Mary Beth Terry
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA,
| | - Kelly-Anne Phillips
- Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, School of Population and Global Health, St Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, CA, USA, Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada and
| | - Alice S Whittemore
- Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
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17
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Thomsen H, Chen B, Figlioli G, Elisei R, Romei C, Cipollini M, Cristaudo A, Bambi F, Hoffmann P, Herms S, Landi S, Hemminki K, Gemignani F, Försti A. Runs of homozygosity and inbreeding in thyroid cancer. BMC Cancer 2016; 16:227. [PMID: 26984635 PMCID: PMC4794977 DOI: 10.1186/s12885-016-2264-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 03/09/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWASs) have identified several single-nucleotide polymorphisms (SNPs) influencing the risk of thyroid cancer (TC). Most cancer predisposition genes identified through GWASs function in a co-dominant manner, and studies have not found evidence for recessively functioning disease loci in TC. Our study examines whether homozygosity is associated with an increased risk of TC and searches for novel recessively acting disease loci. METHODS Data from a previously conducted GWAS were used for the estimation of the proportion of phenotypic variance explained by all common SNPs, the detection of runs of homozygosity (ROH) and the determination of inbreeding to unravel their influence on TC. RESULTS Inbreeding coefficients were significantly higher among cases than controls. Association on a SNP-by-SNP basis was controlled by using the false discovery rate at a level of q* < 0.05, with 34 SNPs representing true differences in homozygosity between cases and controls. The average size, the number and total length of ROHs per person were significantly higher in cases than in controls. A total of 16 recurrent ROHs of rather short length were identified although their association with TC risk was not significant at a genome-wide level. Several recurrent ROHs harbor genes associated with risk of TC. All of the ROHs showed significant evidence for natural selection (iHS, Fst, Fay and Wu's H). CONCLUSIONS Our results support the existence of recessive alleles in TC susceptibility. Although regions of homozygosity were rather small, it might be possible that variants within these ROHs affect TC risk and may function in a recessive manner.
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Affiliation(s)
- Hauke Thomsen
- />Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Bowang Chen
- />Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Gisella Figlioli
- />Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- />Department of Biology, University of Pisa, Pisa, Italy
| | - Rossella Elisei
- />Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | - Cristina Romei
- />Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | | | - Alfonso Cristaudo
- />Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | - Franco Bambi
- />Blood Centre, Azienda Ospedaliero Universitaria A. Meyer, Firenze, Italy
| | - Per Hoffmann
- />Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- />Division of Medical Genetics, University Hospital Basel, Basel, Switzerland
- />Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Stefan Herms
- />Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- />Division of Medical Genetics, University Hospital Basel, Basel, Switzerland
- />Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Stefano Landi
- />Department of Biology, University of Pisa, Pisa, Italy
| | - Kari Hemminki
- />Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- />Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
| | | | - Asta Försti
- />Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- />Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
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18
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Banerjee S, Wei Z, Tan F, Peck KN, Shih N, Feldman M, Rebbeck TR, Alwine JC, Robertson ES. Distinct microbiological signatures associated with triple negative breast cancer. Sci Rep 2015; 5:15162. [PMID: 26469225 PMCID: PMC4606812 DOI: 10.1038/srep15162] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 09/17/2015] [Indexed: 12/19/2022] Open
Abstract
Infectious agents are the third highest human cancer risk factor and may have a greater role in the origin and/or progression of cancers, and related pathogenesis. Thus, knowing the specific viruses and microbial agents associated with a cancer type may provide insights into cause, diagnosis and treatment. We utilized a pan-pathogen array technology to identify the microbial signatures associated with triple negative breast cancer (TNBC). This technology detects low copy number and fragmented genomes extracted from formalin-fixed paraffin embedded archival tissues. The results, validated by PCR and sequencing, define a microbial signature present in TNBC tissue which was underrepresented in normal tissue. Hierarchical clustering analysis displayed two broad microbial signatures, one prevalent in bacteria and parasites and one prevalent in viruses. These signatures demonstrate a new paradigm in our understanding of the link between microorganisms and cancer, as causative or commensal in the tumor microenvironment and provide new diagnostic potential.
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Affiliation(s)
- Sagarika Banerjee
- Department of Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Zhi Wei
- Department of Computer Science, College of Computing Sciences, New Jersey Institute of Technology, GITC 4400, University Heights, Newark, NJ 07102, USA
| | - Fei Tan
- Department of Computer Science, College of Computing Sciences, New Jersey Institute of Technology, GITC 4400, University Heights, Newark, NJ 07102, USA
| | - Kristen N Peck
- Department of Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Natalie Shih
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Michael Feldman
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Timothy R Rebbeck
- Department of Biostatistics and Epidemiology, University of Pennsylvania, 217 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA
| | - James C Alwine
- Department of Cancer Biology, University of Pennsylvania, 314 Biomedical Research Building, 421 Curie Blvd. Philadelphia, PA 19104, USA
| | - Erle S Robertson
- Department of Microbiology, University of Pennsylvania, 201 E Johnson Pavilion, 3610 Hamilton Walk, Philadelphia, PA 19104, USA
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Wu RR, Orlando LA. Implementation of health risk assessments with family health history: barriers and benefits. Postgrad Med J 2015; 91:508-13. [PMID: 26268266 DOI: 10.1136/postgradmedj-2014-133195] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 07/20/2015] [Indexed: 11/03/2022]
Abstract
Health risk assessments provide an opportunity to emphasise health promotion and disease prevention for individuals and populations at large. A key component of health risk assessments is the detailed collection of family health history information. This information is helpful in determining risk both for common chronic conditions and more rare diseases as well. While the concept of health risk assessments has been around since the Framingham Heart Study was launched in the 1950s, and such assessments are commonly performed in the workplace today, the US healthcare system has been slow to embrace them and the emphasis on prevention that they represent. Before wider implementation of health risk assessments within healthcare can be seen, several concerns must be addressed: (1) provider impact, (2) patient impact, (3) validity of patient-entered data and (4) health outcomes effect. Here, we describe recent developments in health risk assessment design that are helping to address these issues.
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Affiliation(s)
- R Ryanne Wu
- Duke Center for Applied Genomics and Department of Medicine, Duke University and Health Services Research and Development, Veterans Affairs Medical Center, Durham, North Carolina, USA
| | - Lori A Orlando
- Duke Center for Applied Genomics and Department of Medicine, Duke University, Durham, North Carolina, USA
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