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Stauder SK, Borkar SR, Glasgow AE, Runkle TL, Sherman ME, Spaulding AC, Mohseni MM, DeStephano CC. Emergency Department Visits Before Cancer Diagnosis Among Women at Mayo Clinic. Mayo Clin Proc Innov Qual Outcomes 2024; 8:213-224. [PMID: 38596167 PMCID: PMC11002794 DOI: 10.1016/j.mayocpiqo.2024.03.002] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/06/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
Objective To determine associations of incident cancer diagnoses in women with recent emergency department (ED) care. Patients and Methods A retrospective cohort study analyzing biological females aged 18 years and older, who were diagnosed with an incident primary cancer (12 cancer types studied) from January 1, 2015, to December 31, 2021, from electronic health records. The primary outcome was a cancer diagnosis within 6 months of a preceding ED visit. Secondary outcomes included patient factors associated with a preceding ED visit. Results Of 25,736 patients (median age of 62 years, range 18-101) diagnosed with an incident primary cancer, 1938 (7.5%) had an ED visit ≤6 months before a diagnosis. The ED-associated cancer cases were highest in lung cancer (n=514, 14.7%) followed by acute lymphoblastic leukemia (n=22, 13.3%). Patient factors increasing the likelihood of ED evaluation before diagnosis included 18-50 years of age (OR=1.32; 95% CI, 1.09-1.61), Elixhauser score (measure of comorbidities) >4 (OR=17.90; 95% CI, 14.21-22.76), use of Medicaid or other government insurance (OR=2.10; 95% CI, 1.63-2.69), residence within the institutional catchment areas (OR=3.18; 95% CI, 2.78-3.66), non-Hispanic Black race/ethnicity (OR=1.41; 95% CI, 1.04-1.88), and established primary care provider at Mayo Clinic (OR=1.45; 95% CI, 1.28-1.65). The ED visits were more likely in those who died within 6 months of diagnosis (n=327, 37.8%) than those who did not die (n=1611, 6.5%). Conclusion Patient characteristics identified in this study offer opportunities to provide cancer risk assessment and health navigation, particularly among individuals with comorbidities and limited health care access.
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Affiliation(s)
| | - Shalmali R. Borkar
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
| | - Amy E. Glasgow
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Tage L. Runkle
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Mark E. Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL
| | - Aaron C. Spaulding
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
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Sherman ME, Boehm AL, Franco EL. A new initiative for the Journal of the National Cancer Institute: supporting early career investigators. J Natl Cancer Inst 2024; 116:341-342. [PMID: 38341802 DOI: 10.1093/jnci/djae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 01/19/2024] [Indexed: 02/13/2024] Open
Affiliation(s)
- Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA
| | | | - Eduardo L Franco
- Division of Cancer Epidemiology, McGill University, Montreal, Canada
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Sherman ME, Vierkant RA, Winham SJ, Vachon CM, Carter JM, Pacheco-Spann L, Jensen MR, McCauley BM, Hoskin TL, Seymour L, Gehling D, Fischer J, Ghosh K, Radisky DC, Degnim AC. Benign Breast Disease and Breast Cancer Risk in the Percutaneous Biopsy Era. JAMA Surg 2024; 159:193-201. [PMID: 38091020 PMCID: PMC10719829 DOI: 10.1001/jamasurg.2023.6382] [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: 06/16/2023] [Accepted: 09/08/2023] [Indexed: 12/17/2023]
Abstract
Importance Benign breast disease (BBD) comprises approximately 75% of breast biopsy diagnoses. Surgical biopsy specimens diagnosed as nonproliferative (NP), proliferative disease without atypia (PDWA), or atypical hyperplasia (AH) are associated with increasing breast cancer (BC) risk; however, knowledge is limited on risk associated with percutaneously diagnosed BBD. Objectives To estimate BC risk associated with BBD in the percutaneous biopsy era irrespective of surgical biopsy. Design, Setting, and Participants In this retrospective cohort study, BBD biopsy specimens collected from January 1, 2002, to December 31, 2013, from patients with BBD at Mayo Clinic in Rochester, Minnesota, were reviewed by 2 pathologists masked to outcomes. Women were followed up from 6 months after biopsy until censoring, BC diagnosis, or December 31, 2021. Exposure Benign breast disease classification and multiplicity by pathology panel review. Main Outcomes The main outcome was diagnosis of BC overall and stratified as ductal carcinoma in situ (DCIS) or invasive BC. Risk for presence vs absence of BBD lesions was assessed by Cox proportional hazards regression. Risk in patients with BBD compared with female breast cancer incidence rates from the Iowa Surveillance, Epidemiology, and End Results (SEER) program were estimated. Results Among 4819 female participants, median age was 51 years (IQR, 43-62 years). Median follow-up was 10.9 years (IQR, 7.7-14.2 years) for control individuals without BC vs 6.6 years (IQR, 3.7-10.1 years) for patients with BC. Risk was higher in the cohort with BBD than in SEER data: BC overall (standard incidence ratio [SIR], 1.95; 95% CI, 1.76-2.17), invasive BC (SIR, 1.56; 95% CI, 1.37-1.78), and DCIS (SIR, 3.10; 95% CI, 2.54-3.77). The SIRs increased with increasing BBD severity (1.42 [95% CI, 1.19-1.71] for NP, 2.19 [95% CI, 1.88-2.54] for PDWA, and 3.91 [95% CI, 2.97-5.14] for AH), comparable to surgical cohorts with BBD. Risk also increased with increasing lesion multiplicity (SIR: 2.40 [95% CI, 2.06-2.79] for ≥3 foci of NP, 3.72 [95% CI, 2.31-5.99] for ≥3 foci of PDWA, and 5.29 [95% CI, 3.37-8.29] for ≥3 foci of AH). Ten-year BC cumulative incidence was 4.3% for NP, 6.6% for PDWA, and 14.6% for AH vs an expected population cumulative incidence of 2.9%. Conclusions and Relevance In this contemporary cohort study of women diagnosed with BBD in the percutaneous biopsy era, overall risk of BC was increased vs the general population (DCIS and invasive cancer combined), similar to that in historical BBD cohorts. Development and validation of pathologic classifications including both BBD severity and multiplicity may enable improved BC risk stratification.
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Affiliation(s)
- Mark E. Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
| | | | | | | | - Jodi M. Carter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | | | | | | | - Tanya L. Hoskin
- Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Lisa Seymour
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
| | - Denice Gehling
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
| | | | - Karthik Ghosh
- Department of General Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | | | - Amy C. Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
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Winham SJ, Sherman ME. Leveraging GWAS: Path to Prevention? Cancer Prev Res (Phila) 2024; 17:13-18. [PMID: 38173393 DOI: 10.1158/1940-6207.capr-23-0336] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/10/2023] [Accepted: 11/14/2023] [Indexed: 01/05/2024]
Abstract
Developing novel cancer prevention medication strategies is important for reducing mortality. Identification of common genetic variants associated with cancer risk suggests the potential to leverage these discoveries to define causal targets for cancer interception. Although each risk variant confers small increases in risk, researchers propose that blocking those that produce causal carcinogenic effects might have large impacts on cancer prevention. While a promising concept, we describe potential hurdles that may need to be scaled to reach this goal, including: (i) understanding the complexity of risk; (ii) achieving statistical power in studies with binary outcomes (cancer development: yes or no); (iii) characterization of cancer precursors; (iv) heterogeneity of cancer subtypes and the populations in which these diseases occur; (v) impact of static genetic markers across complex events of the life course; (vi) defining gene-gene and gene-environment interactions and (vii) demonstrating functional effects of markers in human populations. We assess short-term prospects for this research against the backdrop of these challenges and the potential to prevent cancer through other means. See related commentary by Peters and Tomlinson, p. 7.
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Affiliation(s)
- Stacey J Winham
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
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Saner FAM, Takahashi K, Budden T, Pandey A, Ariyaratne D, Zwimpfer TA, Meagher NS, Fereday S, Twomey L, Pishas KI, Hoang T, Bolithon A, Traficante N, Alsop K, Christie EL, Kang EY, Nelson GS, Ghatage P, Lee CH, Riggan MJ, Alsop J, Beckmann MW, Boros J, Brand AH, Brooks-Wilson A, Carney ME, Coulson P, Courtney-Brooks M, Cushing-Haugen KL, Cybulski C, El-Bahrawy MA, Elishaev E, Erber R, Gayther SA, Gentry-Maharaj A, Blake Gilks C, Harnett PR, Harris HR, Hartmann A, Hein A, Hendley J, Hernandez BY, Jakubowska A, Jimenez-Linan M, Jones ME, Kaufmann SH, Kennedy CJ, Kluz T, Koziak JM, Kristjansdottir B, Le ND, Lener M, Lester J, Lubiński J, Mateoiu C, Orsulic S, Ruebner M, Schoemaker MJ, Shah M, Sharma R, Sherman ME, Shvetsov YB, Singh N, Rinda Soong T, Steed H, Sukumvanich P, Talhouk A, Taylor SE, Vierkant RA, Wang C, Widschwendter M, Wilkens LR, Winham SJ, Anglesio MS, Berchuck A, Brenton JD, Campbell I, Cook LS, Doherty JA, Fasching PA, Fortner RT, Goodman MT, Gronwald J, Huntsman DG, Karlan BY, Kelemen LE, Menon U, Modugno F, Pharoah PD, Schildkraut JM, Sundfeldt K, Swerdlow AJ, Goode EL, DeFazio A, Köbel M, Ramus SJ, Bowtell DDL, Garsed DW. Concurrent RB1 loss and BRCA-deficiency predicts enhanced immunological response and long-term survival in tubo-ovarian high-grade serous carcinoma. medRxiv 2023:2023.11.09.23298321. [PMID: 37986741 PMCID: PMC10659507 DOI: 10.1101/2023.11.09.23298321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Background Somatic loss of the tumour suppressor RB1 is a common event in tubo-ovarian high-grade serous carcinoma (HGSC), which frequently co-occurs with alterations in homologous recombination DNA repair genes including BRCA1 and BRCA2 (BRCA). We examined whether tumour expression of RB1 was associated with survival across ovarian cancer histotypes (HGSC, endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous carcinoma (LGSC)), and how co-occurrence of germline BRCA pathogenic variants and RB1 loss influences long-term survival in a large series of HGSC. Patients and methods RB1 protein expression patterns were classified by immunohistochemistry in epithelial ovarian carcinomas of 7436 patients from 20 studies participating in the Ovarian Tumor Tissue Analysis consortium and assessed for associations with overall survival (OS), accounting for patient age at diagnosis and FIGO stage. We examined RB1 expression and germline BRCA status in a subset of 1134 HGSC, and related genotype to survival, tumour infiltrating CD8+ lymphocyte counts and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cell lines with and without BRCA1 mutations to model co-loss with treatment response. We also performed genomic analyses on 126 primary HGSC to explore the molecular characteristics of concurrent homologous recombination deficiency and RB1 loss. Results RB1 protein loss was most frequent in HGSC (16.4%) and was highly correlated with RB1 mRNA expression. RB1 loss was associated with longer OS in HGSC (hazard ratio [HR] 0.74, 95% confidence interval [CI] 0.66-0.83, P = 6.8 ×10-7), but with poorer prognosis in ENOC (HR 2.17, 95% CI 1.17-4.03, P = 0.0140). Germline BRCA mutations and RB1 loss co-occurred in HGSC (P < 0.0001). Patients with both RB1 loss and germline BRCA mutations had a superior OS (HR 0.38, 95% CI 0.25-0.58, P = 5.2 ×10-6) compared to patients with either alteration alone, and their median OS was three times longer than non-carriers whose tumours retained RB1 expression (9.3 years vs. 3.1 years). Enhanced sensitivity to cisplatin (P < 0.01) and paclitaxel (P < 0.05) was seen in BRCA1 mutated cell lines with RB1 knockout. Among 126 patients with whole-genome and transcriptome sequence data, combined RB1 loss and genomic evidence of homologous recombination deficiency was correlated with transcriptional markers of enhanced interferon response, cell cycle deregulation, and reduced epithelial-mesenchymal transition in primary HGSC. CD8+ lymphocytes were most prevalent in BRCA-deficient HGSC with co-loss of RB1. Conclusions Co-occurrence of RB1 loss and BRCA mutation was associated with exceptionally long survival in patients with HGSC, potentially due to better treatment response and immune stimulation.
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Affiliation(s)
- Flurina A. M. Saner
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Obstetrics and Gynecology, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Kazuaki Takahashi
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan
| | - Timothy Budden
- School of Clinical Medicine, UNSW Medicine and Health, University of NSW Sydney, Sydney, New South Wales, Australia
- Skin Cancer and Ageing Lab, Cancer Research United Kingdom Manchester Institute, The University of Manchester, Manchester, UK
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | | | - Nicola S. Meagher
- School of Clinical Medicine, UNSW Medicine and Health, University of NSW Sydney, Sydney, New South Wales, Australia
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura Twomey
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kathleen I. Pishas
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Therese Hoang
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Adelyn Bolithon
- School of Clinical Medicine, UNSW Medicine and Health, University of NSW Sydney, Sydney, New South Wales, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
| | - Nadia Traficante
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Kathryn Alsop
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Elizabeth L. Christie
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Eun-Young Kang
- Department of Pathology and Laboratory Medicine, University of Calgary, Foothills Medical Center, Calgary, AB, Canada
| | - Gregg S. Nelson
- Department of Oncology, Division of Gynecologic Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Prafull Ghatage
- Department of Oncology, Division of Gynecologic Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Cheng-Han Lee
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Marjorie J. Riggan
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USA
| | - Jennifer Alsop
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Jessica Boros
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Alison H. Brand
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | | | - Michael E. Carney
- Department of Obstetrics and Gynecology, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA
| | - Penny Coulson
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Madeleine Courtney-Brooks
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kara L. Cushing-Haugen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Cezary Cybulski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mona A. El-Bahrawy
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, UK
| | - Esther Elishaev
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ramona Erber
- Institute of Pathology, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Simon A. Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK
- Department of Women’s Cancer, Elizabeth Garrett Anderson Institute for Women’s Health, University College London, London, UK
| | - C. Blake Gilks
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Paul R. Harnett
- The University of Sydney, Sydney, New South Wales, Australia
- Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, New South Wales, Australia
| | - Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Arndt Hartmann
- Institute of Pathology, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Alexander Hein
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - AOCS Group
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Anna Jakubowska
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | | | - Michael E. Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Scott H. Kaufmann
- Division of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Catherine J. Kennedy
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Tomasz Kluz
- Department of Gynecology and Obstetrics, Gynecology Oncology and Obstetrics, Institute of Medical Sciences, Medical College of Rzeszow University, Rzeszów, Poland
| | | | - Björg Kristjansdottir
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenburg, Sweden
| | - Nhu D. Le
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
| | - Marcin Lener
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | | | - Sandra Orsulic
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Minouk J. Schoemaker
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Raghwa Sharma
- Tissue Pathology and Diagnostic Oncology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Mark E. Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | | | - Naveena Singh
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - T. Rinda Soong
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Helen Steed
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alberta, Edmonton, Alberta, Canada
- Section of Gynecologic Oncology Surgery, North Zone, Alberta Health Services, Edmonton, Alberta, Canada
| | - Paniti Sukumvanich
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Aline Talhouk
- British Columbia’s Gynecological Cancer Research Team (OVCARE), University of British Columbia, BC Cancer, and Vancouver General Hospital, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Sarah E. Taylor
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Robert A. Vierkant
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Chen Wang
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Stacey J. Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Michael S. Anglesio
- British Columbia’s Gynecological Cancer Research Team (OVCARE), University of British Columbia, BC Cancer, and Vancouver General Hospital, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USA
| | - James D. Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ian Campbell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Linda S. Cook
- Epidemiology, School of Public Health, University of Colorado, Aurora, CO, USA
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Jennifer A. Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Marc T. Goodman
- Cancer Prevention and Control Program, Cedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - David G. Huntsman
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- British Columbia’s Gynecological Cancer Research Team (OVCARE), University of British Columbia, BC Cancer, and Vancouver General Hospital, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
- Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Beth Y. Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Linda E. Kelemen
- Division of Acute Disease Epidemiology, South Carolina Department of Health & Environmental Control, Columbia, SC, USA
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Francesmary Modugno
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA
- Women’s Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA
| | - Paul D.P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Karin Sundfeldt
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenburg, Sweden
| | - 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
| | - Ellen L. Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Anna DeFazio
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, New South Wales, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Foothills Medical Center, Calgary, AB, Canada
| | - Susan J. Ramus
- School of Clinical Medicine, UNSW Medicine and Health, University of NSW Sydney, Sydney, New South Wales, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
| | - David D. L. Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Dale W. Garsed
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
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Felix AS, Sinnott JA, Cohn DE, Duggan MA, Havrilesky LJ, Olawaiye AB, Mariani A, Rodriquez M, Brett MA, Dinoi G, Meade CE, Hall B, Goldfeld E, Elishaev E, Sherman ME, Suarez AA. Intraluminal tumor cells and prognostic accuracy of endometrial cancer stage criteria: A multi-institution study. Gynecol Oncol 2023; 178:130-137. [PMID: 37862792 PMCID: PMC10842547 DOI: 10.1016/j.ygyno.2023.10.004] [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: 09/05/2023] [Accepted: 10/11/2023] [Indexed: 10/22/2023]
Abstract
OBJECTIVE Endometrial cancer stage is a strong prognostic factor; however, the current stage classification does not incorporate transtubal spread as determined by intraluminal tumor cells (ILTCs). We examined relationships between ILTCs and survival outcomes according to histological subtype and stage and examined whether identification of ILTCs improves prognostic accuracy of endometrial cancer staging. METHODS We conducted a retrospective cohort study of women diagnosed with endometrial cancer at five academic hospitals between 2007 and 2012. Pathologists determined ILTC presence (no vs. yes) and location (free in lumen vs. attached to epithelial surface) based on pathology review of hematoxylin and eosin-stained sections of fallopian tubes. Associations between ILTCs with time to recurrence (TTR) and overall survival (OS) were examined with Cox proportional hazards models adjusted for other prognostic factors. Model discrimination metrics were used to assess the addition of ILTCs to stage for prediction of 5-year TTR and OS. RESULTS In the overall study population (N = 1303), ILTCs were not independently associated with TTR (HR = 0.95, 95% CI = 0.69-1.32) or OS (HR = 0.97, 95% CI = 0.72-1.31). Among 805 women with stage I disease, ILTCs were independently associated with worse TTR (HR = 2.31, 95% CI = 1.06-5.05) and OS (HR = 2.16, 95% CI = 1.14-4.11). Upstaging early-stage cases with ILTCs present did not increase model discrimination. CONCLUSION While our data do not suggest that endometrial cancer staging guidelines should be revised to include ILTCs, associations between ILTCs and reduced survival observed among stage I cases suggest this tumor feature holds clinical relevance for subgroups of endometrial cancer patients.
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Affiliation(s)
- Ashley S Felix
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, United States of America.
| | - Jennifer A Sinnott
- Department of Statistics, The Ohio State University College of Arts and Sciences, Columbus, OH, United States of America
| | - David E Cohn
- Division of Gynecologic Oncology, The Ohio State University College of Medicine, Columbus, OH, United States of America
| | - Máire A Duggan
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada; Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Laura J Havrilesky
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Duke Cancer Institute, Durham, NC, United States of America
| | - Alexander B Olawaiye
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Magee-Women's Hospital of UPMC, Pittsburgh, PA, United States of America
| | - Andrea Mariani
- Gynecology and Obstetrics, Mayo Clinic, Rochester, MN, United States of America
| | - Monica Rodriquez
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada; Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mary Anne Brett
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada; Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Giorgia Dinoi
- Gynecology and Obstetrics, Mayo Clinic, Rochester, MN, United States of America
| | - Caitlin E Meade
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, United States of America
| | - Bobbie Hall
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, United States of America
| | - Ester Goldfeld
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Magee-Women's Hospital of UPMC, Pittsburgh, PA, United States of America
| | - Esther Elishaev
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Magee-Women's Hospital of UPMC, Pittsburgh, PA, United States of America
| | - Mark E Sherman
- Department of Pulmonary Medicine, Mayo Clinic, Jacksonville, FL, United States of America
| | - Adrian A Suarez
- Division of Pathology, The Ohio State University College of Medicine, Columbus, OH, United States of America
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7
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Bramblet RM, Bakkum-Gamez JN, Slettedahl SW, Foote PH, Taylor WR, Berger CK, Gysbers BJ, Arndt J, Chen L, Doering KA, Burger KN, Mahoney DW, Sherman ME, Kisiel JB, Samadder NJ. Methylated DNA Markers for Sporadic Colorectal and Endometrial Cancer Are Strongly Associated with Lynch Syndrome Cancers. Cancer Prev Res (Phila) 2023; 16:611-620. [PMID: 37728516 PMCID: PMC10870731 DOI: 10.1158/1940-6207.capr-23-0107] [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: 03/25/2023] [Revised: 07/21/2023] [Accepted: 09/05/2023] [Indexed: 09/21/2023]
Abstract
Lynch syndrome (LS) markedly increases risks of colorectal and endometrial cancers. Early detection biomarkers for LS cancers could reduce the needs for invasive screening and surgical prophylaxis.To validate a panel of methylated DNA markers (MDM) previously identified in sporadic colorectal cancer and endometrial cancer for discrimination of these cancers in LS.In a case-control design, previously identified MDMs for the detection of colorectal cancer and endometrial cancer were assayed by qMSP on tissue-extracted DNA. Results were normalized to ACTB values within each sample. Least absolute shrinkage and selection operator models to classify colorectal cancer and endometrial cancer were trained on sporadic cases and controls and then applied to classify colorectal cancer and endometrial cancer, in those with LS, and cross-validated.We identified colorectal cancer cases (23 with LS, 48 sporadic), colorectal controls (32 LS, 48 sporadic), endometrial cancer cases (30 LS, 48 sporadic), and endometrial controls (29 LS, 37 sporadic). A 3-MDM panel (LASS4, LRRC4, and PPP2R5C) classified LS-CRC from LS controls with an AUC of 0.92 (0.84-0.99); results were similar for sporadic colorectal cancer. A 6-MDM panel (SFMBT2, MPZ, CYTH2, DIDO1, chr10.4479, and EMX2OS) discriminated LS-EC from LS controls with an AUC of 0.92 (0.83-1.0); the AUC for sporadic endometrial cancer versus sporadic controls was nominally higher, 0.99 (0.96-1.0).MDMs previously identified in sporadic endometrial cancer and colorectal cancer discriminate between endometrial cancer and benign endometrium and colorectal cancer and benign colorectum in LS. This supports the inclusion of patients with LS within future prospective clinical trials evaluating endometrial cancer and colorectal cancer MDMs and may provide a new avenue for cancer screening or surveillance in this high-risk population. PREVENTION RELEVANCE Lynch syndrome (LS) markedly increases risks of colorectal and endometrial cancers. Early detection biomarkers for LS cancers could reduce the needs for invasive screening and surgery. Methylated DNA markers previously identified in sporadic endometrial cancer and colorectal cancer discriminate between benign and cancer tissue in LS.
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Affiliation(s)
| | | | | | - Patrick H. Foote
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - William R. Taylor
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Calise K. Berger
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Brianna J. Gysbers
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Jacquelyn Arndt
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Longwen Chen
- Division of Anatomic Pathology, Mayo Clinic, Scottsdale, AZ
| | - Karen A. Doering
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Kelli N. Burger
- Department of Quantitative Health Sciences, Mayo Clinic Rochester, MN
| | | | - Mark E. Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL
| | - John B. Kisiel
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - N. Jewel Samadder
- Department of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, AZ
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8
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Sherman ME, Levi M, Teras LR. Reproductive Events and Risk of Women's Cancers: From Parturition to Prevention. Cancer Prev Res (Phila) 2023; 16:309-312. [PMID: 37259802 DOI: 10.1158/1940-6207.capr-23-0138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 06/02/2023]
Abstract
Reproductive events beginning with pregnancy and ending with remodeling of the breast after cessation of breastfeeding alter breast structure and function and produce dramatic changes in systemic biology. In aggregate, these processes lower overall risk for breast, tubo-ovarian and endometrial cancers, albeit differentially by molecular subtypes of these tumors. Herein, we explore opportunities for research on protective mechanisms operative during this period of the life course, with the goal of encouraging studies to advance cancer prevention. See related article by Getz et al., p. 353.
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Affiliation(s)
- Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Jacksonville, Florida
| | - Miriam Levi
- Department of Obstetrics and Gynecology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
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9
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Bakkum-Gamez JN, Sherman ME, Slettedahl SW, Mahoney DW, Lemens MA, Laughlin-Tommaso SK, Hopkins MR, VanOosten A, Shridhar V, Staub JK, Cao X, Foote PH, Clarke MA, Burger KN, Berger CK, O'Connell MC, Doering KA, Podratz KC, DeStephano CC, Schoolmeester JK, Kerr SE, Wentzensen N, Taylor WR, Kisiel JB. Detection of endometrial cancer using tampon-based collection and methylated DNA markers. Gynecol Oncol 2023; 174:11-20. [PMID: 37141817 DOI: 10.1016/j.ygyno.2023.04.014] [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: 11/26/2022] [Revised: 04/16/2023] [Accepted: 04/16/2023] [Indexed: 05/06/2023]
Abstract
OBJECTIVE Alterations in DNA methylation are early events in endometrial cancer (EC) development and may have utility in EC detection via tampon-collected vaginal fluid. METHODS For discovery, DNA from frozen EC, benign endometrium (BE), and benign cervicovaginal (BCV) tissues underwent reduced representation bisulfite sequencing (RRBS) to identify differentially methylated regions (DMRs). Candidate DMRs were selected based on receiver operating characteristic (ROC) discrimination, methylation level fold-change between cancers and controls, and absence of background CpG methylation. Methylated DNA marker (MDM) validation was performed using qMSP on DNA from independent EC and BE FFPE tissue sets. Women ≥45 years of age with abnormal uterine bleeding (AUB) or postmenopausal bleeding (PMB) or any age with biopsy-proven EC self-collected vaginal fluid using a tampon prior to clinically indicated endometrial sampling or hysterectomy. Vaginal fluid DNA was assayed by qMSP for EC-associated MDMs. Random forest modeling analysis was performed to generate predictive probability of underlying disease; results were 500-fold in-silico cross-validated. RESULTS Thirty-three candidate MDMs met performance criteria in tissue. For the tampon pilot, 100 EC cases were frequency matched by menopausal status and tampon collection date to 92 BE controls. A 28-MDM panel highly discriminated between EC and BE (96% (95%CI 89-99%) specificity; 76% (66-84%) sensitivity (AUC 0.88). In PBS/EDTA tampon buffer, the panel yielded 96% (95% CI 87-99%) specificity and 82% (70-91%) sensitivity (AUC 0.91). CONCLUSION Next generation methylome sequencing, stringent filtering criteria, and independent validation yielded excellent candidate MDMs for EC. EC-associated MDMs performed with promisingly high sensitivity and specificity in tampon-collected vaginal fluid; PBS-based tampon buffer with added EDTA improved sensitivity. Larger tampon-based EC MDM testing studies are warranted.
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Affiliation(s)
- Jamie N Bakkum-Gamez
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology Surgery, Mayo Clinic, Rochester, MN, United States of America.
| | - Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States of America
| | - Seth W Slettedahl
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States of America
| | - Douglas W Mahoney
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States of America
| | - Maureen A Lemens
- Surgery Research, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Shannon K Laughlin-Tommaso
- Department of Obstetrics and Gynecology, Division of Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Matthew R Hopkins
- Department of Obstetrics and Gynecology, Division of Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Ann VanOosten
- Surgery Research, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Viji Shridhar
- Department of Laboratory Medicine and Pathology, Experimental Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Julie K Staub
- Department of Laboratory Medicine and Pathology, Experimental Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Xiaoming Cao
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Patrick H Foote
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Megan A Clarke
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Kelli N Burger
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Calise K Berger
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Maria C O'Connell
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Karen A Doering
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Karl C Podratz
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology Surgery, Mayo Clinic, Rochester, MN, United States of America
| | - Christopher C DeStephano
- Department of Obstetrics and Gynecology, Division of Minimally Invasive Gynecology, Mayo Clinic, Jacksonville, FL, United States of America
| | - J Kenneth Schoolmeester
- Department of Laboratory Medicine and Pathology, Anatomic Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Sarah E Kerr
- Hospital Pathology Associates, Minneapolis, MN, United States of America
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - William R Taylor
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - John B Kisiel
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
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10
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Hurson AN, Hamilton AM, Olsson LT, Kirk EL, Sherman ME, Calhoun BC, Geradts J, Troester MA. Reproducibility and intratumoral heterogeneity of the PAM50 breast cancer assay. Breast Cancer Res Treat 2023; 199:147-154. [PMID: 36892725 PMCID: PMC10147733 DOI: 10.1007/s10549-023-06888-1] [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: 08/05/2022] [Accepted: 02/05/2023] [Indexed: 03/10/2023]
Abstract
BACKGROUND The PAM50 assay is used routinely in clinical practice to determine breast cancer prognosis and management; however, research assessing how technical variation and intratumoral heterogeneity contribute to misclassification and reproducibility of these tests is limited. METHODS We evaluated the impact of intratumoral heterogeneity on the reproducibility of results for the PAM50 assay by testing RNA extracted from formalin-fixed paraffin embedded breast cancer blocks sampled at distinct spatial locations. Samples were classified according to intrinsic subtype (Luminal A, Luminal B, HER2-enriched, Basal-like, or Normal-like) and risk of recurrence with proliferation score (ROR-P, high, medium, or low). Intratumoral heterogeneity and technical reproducibility (replicate assays on the same RNA) were assessed as percent categorical agreement between paired intratumoral and replicate samples. Euclidean distances between samples, calculated across the PAM50 genes and the ROR-P score, were compared for concordant vs. discordant samples. RESULTS Technical replicates (N = 144) achieved 93% agreement for ROR-P group and 90% agreement on PAM50 subtype. For spatially distinct biological replicates (N = 40 intratumoral replicates), agreement was lower (81% for ROR-P and 76% for PAM50 subtype). The Euclidean distances between discordant technical replicates were bimodal, with discordant samples showing higher Euclidian distance and biologic heterogeneity. CONCLUSION The PAM50 assay achieved very high technical reproducibility for breast cancer subtyping and ROR-P, but intratumoral heterogeneity is revealed by the assay in a small proportion of cases.
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Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erin L Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark E Sherman
- Quantitative Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Benjamin C Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joseph Geradts
- Department of Pathology and Laboratory Medicine, East Carolina University Brody School of Medicine, Greenville, NC, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Epidemiology, University of North Carolina at Chapel Hill, 253 Rosenau, CB# 7435, Chapel Hill, NC, 27599, USA.
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11
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Köbel M, Kang E, Weir A, Rambau PF, Lee C, Nelson GS, Ghatage P, Meagher NS, Riggan MJ, Alsop J, Anglesio MS, Beckmann MW, Bisinotto C, Boisen M, Boros J, Brand AH, Brooks‐Wilson A, Carney ME, Coulson P, Courtney‐Brooks M, Cushing‐Haugen KL, Cybulski C, Deen S, El‐Bahrawy MA, Elishaev E, Erber R, Fereday S, Fischer A, Gayther SA, Barquin‐Garcia A, Gentry‐Maharaj A, Gilks CB, Gronwald H, Grube M, Harnett PR, Harris HR, Hartkopf AD, Hartmann A, Hein A, Hendley J, Hernandez BY, Huang Y, Jakubowska A, Jimenez‐Linan M, Jones ME, Kennedy CJ, Kluz T, Koziak JM, Lesnock J, Lester J, Lubiński J, Longacre TA, Lycke M, Mateoiu C, McCauley BM, McGuire V, Ney B, Olawaiye A, Orsulic S, Osorio A, Paz‐Ares L, Ramón y Cajal T, Rothstein JH, Ruebner M, Schoemaker MJ, Shah M, Sharma R, Sherman ME, Shvetsov YB, Singh N, Steed H, Storr SJ, Talhouk A, Traficante N, Wang C, Whittemore AS, Widschwendter M, Wilkens LR, Winham SJ, Benitez J, Berchuck A, Bowtell DD, Candido dos Reis FJ, Campbell I, Cook LS, DeFazio A, Doherty JA, Fasching PA, Fortner RT, García MJ, Goodman MT, Goode EL, Gronwald J, Huntsman DG, Karlan BY, Kelemen LE, Kommoss S, Le ND, Martin SG, Menon U, Modugno F, Pharoah PDP, Schildkraut JM, Sieh W, Staebler A, Sundfeldt K, Swerdlow AJ, Ramus SJ, Brenton JD. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study. J Pathol Clin Res 2023; 9:208-222. [PMID: 36948887 PMCID: PMC10073933 DOI: 10.1002/cjp2.311] [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: 11/23/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 03/24/2023]
Abstract
Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.
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Affiliation(s)
- Martin Köbel
- Department of Pathology and Laboratory MedicineUniversity of Calgary, Foothills Medical CenterCalgaryABCanada
| | - Eun‐Young Kang
- Department of Pathology and Laboratory MedicineUniversity of Calgary, Foothills Medical CenterCalgaryABCanada
| | - Ashley Weir
- School of Clinical MedicineUNSW Medicine and Health, University of NSW SydneySydneyNew South WalesAustralia
- Adult Cancer Program, Lowy Cancer Research CentreUniversity of NSW SydneySydneyNew South WalesAustralia
- The Walter and Eliza Hall Institute of Medical ResearchParkvilleVictoriaAustralia
| | - Peter F Rambau
- Department of Pathology and Laboratory MedicineUniversity of Calgary, Foothills Medical CenterCalgaryABCanada
- Pathology DepartmentCatholic University of Health and Allied Sciences‐BugandoMwanzaTanzania
| | - Cheng‐Han Lee
- Department of Pathology and Laboratory MedicineUniversity of AlbertaEdmontonABCanada
| | - Gregg S Nelson
- Department of Oncology, Division of Gynecologic Oncology, Cumming School of MedicineUniversity of CalgaryCalgaryABCanada
| | - Prafull Ghatage
- Department of Oncology, Division of Gynecologic Oncology, Cumming School of MedicineUniversity of CalgaryCalgaryABCanada
| | - Nicola S Meagher
- School of Clinical MedicineUNSW Medicine and Health, University of NSW SydneySydneyNew South WalesAustralia
- The Daffodil CentreThe University of Sydney, a Joint Venture with Cancer Council NSWSydneyNew South WalesAustralia
| | - Marjorie J Riggan
- Department of Obstetrics and Gynecology, Division of Gynecologic OncologyDuke University Medical CenterDurhamNCUSA
| | - Jennifer Alsop
- Centre for Cancer Genetic Epidemiology, Department of OncologyUniversity of CambridgeCambridgeUK
| | - Michael S Anglesio
- Department of Obstetrics and GynecologyUniversity of British ColumbiaVancouverBCCanada
- British Columbia's Gynecological Cancer Research Team (OVCARE)University of British Columbia, BC Cancer, and Vancouver General HospitalVancouverBCCanada
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen‐EMNFriedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Christiani Bisinotto
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical SchoolUniversity of São PauloRibeirão PretoBrazil
| | - Michelle Boisen
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Jessica Boros
- Centre for Cancer ResearchThe Westmead Institute for Medical Research, University of SydneySydneyNew South WalesAustralia
- Department of Gynaecological OncologyWestmead HospitalSydneyNew South WalesAustralia
- Discipline of Obstetrics and GynaecologyThe University of SydneySydneyNew South WalesAustralia
| | - Alison H Brand
- Department of Gynaecological OncologyWestmead HospitalSydneyNew South WalesAustralia
- Discipline of Obstetrics and GynaecologyThe University of SydneySydneyNew South WalesAustralia
| | | | - Michael E Carney
- Department of Obstetrics and Gynecology, John A. Burns School of MedicineUniversity of HawaiiHonoluluHIUSA
| | - Penny Coulson
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Madeleine Courtney‐Brooks
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Kara L Cushing‐Haugen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Cezary Cybulski
- Department of Genetics and Pathology, International Hereditary Cancer CenterPomeranian Medical UniversitySzczecinPoland
| | - Suha Deen
- Department of HistopathologyNottingham University Hospitals NHS Trust, Queen's Medical CentreNottinghamUK
| | - Mona A El‐Bahrawy
- Department of Metabolism, Digestion and ReproductionImperial College London, Hammersmith HospitalLondonUK
| | - Esther Elishaev
- Department of PathologyUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Ramona Erber
- Institute of Pathology, Comprehensive Cancer Center Erlangen‐EMN, Friedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Sian Fereday
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneParkvilleVictoriaAustralia
| | - AOCS Group
- Centre for Cancer ResearchThe Westmead Institute for Medical Research, University of SydneySydneyNew South WalesAustralia
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- QIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Anna Fischer
- Institute of Pathology and Neuropathology, Tuebingen University HospitalTuebingenGermany
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars‐Sinai Medical CenterLos AngelesCAUSA
| | | | - Aleksandra Gentry‐Maharaj
- MRC Clinical Trials UnitInstitute of Clinical Trials & Methodology, University College LondonLondonUK
| | - C Blake Gilks
- Department of Pathology and Laboratory MedicineUniversity of British ColumbiaVancouverBCCanada
| | - Helena Gronwald
- Department of Propaedeutics, Physical Diagnostics and Dental PhysiotherapyPomeranian Medical UniversitySzczecinPoland
| | - Marcel Grube
- Department of Women's HealthTuebingen University HospitalTuebingenGermany
| | - Paul R Harnett
- Discipline of Obstetrics and GynaecologyThe University of SydneySydneyNew South WalesAustralia
- Crown Princess Mary Cancer CentreWestmead HospitalSydneyNew South WalesAustralia
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research CenterSeattleWAUSA
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | - Andreas D Hartkopf
- Department of Women's HealthTuebingen University HospitalTuebingenGermany
- Department of Gynecology and ObstetricsUniversity Hospital of UlmUlmGermany
| | - Arndt Hartmann
- Institute of Pathology, Comprehensive Cancer Center Erlangen‐EMN, Friedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Alexander Hein
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen‐EMNFriedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Joy Hendley
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - Brenda Y Hernandez
- Cancer Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHIUSA
| | - Yajue Huang
- Department of Laboratory Medicine and Pathology, Mayo ClinicRochesterMNUSA
| | - Anna Jakubowska
- Department of Genetics and Pathology, International Hereditary Cancer CenterPomeranian Medical UniversitySzczecinPoland
- Independent Laboratory of Molecular Biology and Genetic DiagnosticsPomeranian Medical UniversitySzczecinPoland
| | | | - Michael E Jones
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Catherine J Kennedy
- Centre for Cancer ResearchThe Westmead Institute for Medical Research, University of SydneySydneyNew South WalesAustralia
- Department of Gynaecological OncologyWestmead HospitalSydneyNew South WalesAustralia
- Discipline of Obstetrics and GynaecologyThe University of SydneySydneyNew South WalesAustralia
| | - Tomasz Kluz
- Department of Gynecology and ObstetricsInstitute of Medical Sciences, Medical College of Rzeszow UniversityRzeszówPoland
| | | | - Jaime Lesnock
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and GynecologyUniversity of California at Los AngelesLos AngelesCAUSA
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer CenterPomeranian Medical UniversitySzczecinPoland
| | - Teri A Longacre
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Maria Lycke
- Department of Obstetrics and GynecologyInstitute of Clinical Science, Sahlgrenska University Hospital, University of GothenburgGothenburgSweden
| | | | - Bryan M McCauley
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo ClinicRochesterMNUSA
| | - Valerie McGuire
- Department of Epidemiology and Population HealthStanford University School of MedicineStanfordCAUSA
| | - Britta Ney
- Institute of Pathology and Neuropathology, Tuebingen University HospitalTuebingenGermany
| | - Alexander Olawaiye
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Sandra Orsulic
- David Geffen School of Medicine, Department of Obstetrics and GynecologyUniversity of California at Los AngelesLos AngelesCAUSA
| | - Ana Osorio
- Genetics Service, Fundación Jiménez DíazMadridSpain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - Luis Paz‐Ares
- H12O‐CNIO Lung Cancer Clinical Research Unit, Spanish National Cancer Research Centre (CNIO)MadridSpain
- Oncology DepartmentHospital Universitario 12 de OctubreMadridSpain
| | | | - Joseph H Rothstein
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of Population Health Science and PolicyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen‐EMNFriedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Minouk J Schoemaker
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of OncologyUniversity of CambridgeCambridgeUK
| | - Raghwa Sharma
- Tissue Pathology and Diagnostic OncologyWestmead HospitalSydneyNew South WalesAustralia
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo ClinicJacksonvilleFLUSA
| | - Yurii B Shvetsov
- Cancer Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHIUSA
| | - Naveena Singh
- Department of Pathology and Laboratory MedicineUniversity of British ColumbiaVancouverBCCanada
| | - Helen Steed
- Division of Gynecologic Oncology, Department of Obstetrics and GynecologyUniversity of AlbertaEdmontonABCanada
- Section of Gynecologic Oncology Surgery, North Zone, Alberta Health ServicesEdmontonABCanada
| | - Sarah J Storr
- Nottingham Breast Cancer Research CentreBiodiscovery Institute, University of NottinghamNottinghamUK
| | - Aline Talhouk
- Department of Obstetrics and GynecologyUniversity of British ColumbiaVancouverBCCanada
- British Columbia's Gynecological Cancer Research Team (OVCARE)University of British Columbia, BC Cancer, and Vancouver General HospitalVancouverBCCanada
| | - Nadia Traficante
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneParkvilleVictoriaAustralia
| | - Chen Wang
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo ClinicRochesterMNUSA
| | - Alice S Whittemore
- Department of Epidemiology and Population HealthStanford University School of MedicineStanfordCAUSA
- Department of Biomedical Data ScienceStanford University School of MedicineStanfordCAUSA
| | | | - Lynne R Wilkens
- Cancer Epidemiology ProgramUniversity of Hawaii Cancer CenterHonoluluHIUSA
| | - Stacey J Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo ClinicRochesterMNUSA
| | - Javier Benitez
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)Instituto de Salud Carlos IIIMadridSpain
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO)MadridSpain
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Division of Gynecologic OncologyDuke University Medical CenterDurhamNCUSA
| | - David D Bowtell
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneParkvilleVictoriaAustralia
| | - Francisco J Candido dos Reis
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical SchoolUniversity of São PauloRibeirão PretoBrazil
| | - Ian Campbell
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneParkvilleVictoriaAustralia
| | - Linda S Cook
- Epidemiology, School of Public HealthUniversity of ColoradoAuroraCOUSA
- Community Health Sciences, University of CalgaryCalgaryABCanada
| | - Anna DeFazio
- The Daffodil CentreThe University of Sydney, a Joint Venture with Cancer Council NSWSydneyNew South WalesAustralia
- Centre for Cancer ResearchThe Westmead Institute for Medical Research, University of SydneySydneyNew South WalesAustralia
- Department of Gynaecological OncologyWestmead HospitalSydneyNew South WalesAustralia
- Discipline of Obstetrics and GynaecologyThe University of SydneySydneyNew South WalesAustralia
| | - Jennifer A Doherty
- Huntsman Cancer Institute, Department of Population Health SciencesUniversity of UtahSalt Lake CityUTUSA
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen‐EMNFriedrich‐Alexander University Erlangen‐Nuremberg, University Hospital ErlangenErlangenGermany
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ)HeidelbergGermany
- Department of Research, Cancer Registry of NorwayOsloNorway
| | - María J García
- Computational Oncology Group, Structural Biology Programme, Spanish National Cancer Research Centre (CNIO)MadridSpain
| | - Marc T Goodman
- Cancer Prevention and Control Program, Cedars‐Sinai Cancer, Cedars‐Sinai Medical CenterLos AngelesCAUSA
| | - Ellen L Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo ClinicRochesterMNUSA
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer CenterPomeranian Medical UniversitySzczecinPoland
| | - David G Huntsman
- Department of Obstetrics and GynecologyUniversity of British ColumbiaVancouverBCCanada
- Department of Molecular Oncology, BC Cancer Research CentreVancouverBCCanada
| | - Beth Y Karlan
- David Geffen School of Medicine, Department of Obstetrics and GynecologyUniversity of California at Los AngelesLos AngelesCAUSA
| | - Linda E Kelemen
- Division of Acute Disease Epidemiology, South Carolina Department of Health & Environmental ControlColumbiaSCUSA
| | - Stefan Kommoss
- Department of Women's HealthTuebingen University HospitalTuebingenGermany
| | - Nhu D Le
- Cancer Control Research, BC Cancer AgencyVancouverBCCanada
| | - Stewart G Martin
- Nottingham Breast Cancer Research CentreBiodiscovery Institute, University of NottinghamNottinghamUK
| | - Usha Menon
- MRC Clinical Trials UnitInstitute of Clinical Trials & Methodology, University College LondonLondonUK
| | - Francesmary Modugno
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
- Department of EpidemiologyUniversity of Pittsburgh School of Public HealthPittsburghPAUSA
- Women's Cancer Research CenterMagee‐Womens Research Institute and Hillman Cancer CenterPittsburghPAUSA
| | - Paul DP Pharoah
- Centre for Cancer Genetic Epidemiology, Department of OncologyUniversity of CambridgeCambridgeUK
- Department of Computational Biomedicine, Cedars‐Sinai Medical CenterWest HollywoodCAUSA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Weiva Sieh
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of Population Health Science and PolicyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Annette Staebler
- Institute of Pathology and Neuropathology, Tuebingen University HospitalTuebingenGermany
| | - Karin Sundfeldt
- Department of Obstetrics and Gynecology, Institute of Clinical ScienceSahlgrenska Center for Cancer Research, University of GothenburgGothenburgSweden
| | - Anthony J Swerdlow
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
- Division of Breast Cancer ResearchThe Institute of Cancer ResearchLondonUK
| | - Susan J Ramus
- School of Clinical MedicineUNSW Medicine and Health, University of NSW SydneySydneyNew South WalesAustralia
- Adult Cancer Program, Lowy Cancer Research CentreUniversity of NSW SydneySydneyNew South WalesAustralia
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of CambridgeCambridgeUK
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12
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Stanczyk FZ, Mandelbaum RS, Matharu H, Dancz CE, Sherman ME. Endometrial safety of low-dose vaginal estrogens. Menopause 2023; 30:650-658. [PMID: 37022294 DOI: 10.1097/gme.0000000000002177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
ABSTRACT It is estimated that up to 50% to 90% of postmenopausal women may experience genitourinary syndrome of menopause (GSM), which may have a detrimental impact on quality of life. One of the most effective modes of treatment of GSM is low-dose vaginal estrogens. Numerous studies have addressed the safety of these estrogens using endometrial biopsy and/or endometrial thickness on ultrasound. Based on these studies, the consensus is that low-dose vaginal estrogens do not substantially increase the risk of endometrial hyperplasia or cancer; however, the data are severely limited by short duration of follow-up. Although long-term trials are warranted, they are difficult to carry out, costly, and will not yield data for years. More immediate information regarding endometrial safety may be obtained from studies measuring endometrial tissue and serum concentrations of estradiol, estrone, and relevant equine estrogens after administration of different estrogen formulations and doses. This would allow us to understand better the metabolism of estrogens by the vagina and endometrium, and how much estrogen is reaching the endometrium. Here, we discuss metabolism, receptor binding, and signaling of estrogens in vaginal and endometrial tissue, and summarize the existing studies on the endometrial impact of low-dose vaginal estrogen treatment in postmenopausal women.
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Affiliation(s)
- Frank Z Stanczyk
- From the Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Rachel S Mandelbaum
- From the Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Harpreet Matharu
- From the Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Christina E Dancz
- From the Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL
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13
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Lohani KR, Nibbe AM, Vierkant RA, Pacheco-Spann LM, Seymour LR, Vachon CM, Sherman ME, Degnim AC, Hill D. Abstract 4213: Comparison of benign breast disease subtypes and breast cancer risk among Hispanic and non-Hispanic white women in New Mexico. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-4213] [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: Benign breast disease (BBD) is an important breast cancer (BC) risk factor, which may be classified as non-proliferative disease (NPD), proliferative disease without atypia (PDWA), or atypical hyperplasia (AH) for risk stratification. Data related to the frequency of specific types of BBD and their relationship to BC risk in the Hispanic American population are limited. To address this knowledge gap, we compared BBD and associated BC risk among Hispanic white (HW) and non-Hispanic white (NHW) in New Mexico (NM).
Methodology: A retrospective IRB-approved study was performed of women 19 years or older residing in six counties in NM (Bernalillo, Sandoval, Sante Fe, Socorro, Torrance, Cibola/Valencia) between 1996 and mid-2007 to compare the frequency of BBD subtypes and BC risk among HW and NHW. We excluded women who had a history of BC prior to BBD diagnosis or who were diagnosed with BC within 6 months after BBD biopsy. Race and ethnicity were self-reported by women at the time of biopsy. BBD was categorized as NPD, PDWA, or AH based on medical records. Incident BC (in-situ or invasive) was ascertained via linkage to the NM Surveillance Epidemiology End Results (SEER) Registry and BC risk was assessed using standardized incidence ratios (SIRs), comparing the observed number of BC events to that expected based on the NM SEER six-county race- and ethnicity-specific incidence rates, accounting for age and calendar period.
Results: Our analysis included 3,870 HW and 6,996 NHW women with BBD. The HW were younger (47.1 vs. 51 years) compared to NHW. HW women had slightly more NPD (69.4% vs. 66.6%) but less PDWA (26.2% vs. 29.4%) and similar frequency of AH (4.3% vs. 3.9%) as compared to NHW. Over a median post-BBD follow-up period of 13 years (range 6 months-17 years), 644 BCs were observed (4.81% in HW and 6.55% in NHW). The observed BC risk among women with BBD was higher than population-based expected rates (SIR 1.98, 95% CI 1.82-2.13, p<0.001) and showed expected increases in risk with increasing degrees of BBD abnormality: SIR=1.90 for NPD, 2.00 for PDWA, and 3.01 for AH. Comparing BC risk by ethnic subgroups, HW women had an overall risk of BC after BBD that was statistically indistinguishable from NHW women (SIR=2.17, 95% CI 1.86-2.48 in HW women, and SIR=1.91, 95% CI 1.73-2.08 in NHW women). Within the major subgroups of the BBD findings, there were no significant differences in risk of BC after BBD for HW versus NHW women.
Conclusions: In this population-based study, benign breast disease subtypes and their associated breast cancer risk were similar among the Hispanic and non-Hispanic white women.
Citation Format: Kush Raj Lohani, Andrea M. Nibbe, Robert A. Vierkant, Laura M. Pacheco-Spann, Lisa R. Seymour, Celine M. Vachon, Mark E. Sherman, Amy C. Degnim, Deirdre Hill. Comparison of benign breast disease subtypes and breast cancer risk among Hispanic and non-Hispanic white women in New Mexico. [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 4213.
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Affiliation(s)
| | - Andrea M. Nibbe
- 2The University of New Mexico Health Sciences, Albuquerque, NM
| | | | | | | | | | | | | | - Deirdre Hill
- 2The University of New Mexico Health Sciences, Albuquerque, NM
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14
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Wang C, Block MS, Cunningham JM, Sherman ME, McCauley BM, Armasu SM, Vierkant RA, Traficante N, Talhouk A, Ramus SJ, Pejovic N, Köbel M, Jorgensen BD, Garsed DW, Fereday S, Doherty JA, Ariyaratne D, Anglesio MS, Widschwendter M, Pejovic T, Bosquet JG, Bowtell DD, Winham SJ, Goode EL. Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma. Cancer Epidemiol Biomarkers Prev 2023; 32:542-549. [PMID: 36790339 PMCID: PMC10073286 DOI: 10.1158/1055-9965.epi-22-0941] [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: 08/31/2022] [Revised: 11/07/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Better understanding of prognostic factors in tubo-ovarian high-grade serous carcinoma (HGSC) is critical, as diagnosis confers an aggressive disease course. Variation in tumor DNA methylation shows promise predicting outcome, yet prior studies were largely platform-specific and unable to evaluate multiple molecular features. METHODS We analyzed genome-wide DNA methylation in 1,040 frozen HGSC, including 325 previously reported upon, seeking a multi-platform quantitative methylation signature that we evaluated in relation to clinical features, tumor characteristics, time to recurrence/death, extent of CD8+ tumor-infiltrating lymphocytes (TIL), gene expression molecular subtypes, and gene expression of the ATP-binding cassette transporter TAP1. RESULTS Methylation signature was associated with shorter time to recurrence, independent of clinical factors (N = 715 new set, hazard ratio (HR), 1.65; 95% confidence interval (CI), 1.10-2.46; P = 0.015; N = 325 published set HR, 2.87; 95% CI, 2.17-3.81; P = 2.2 × 10-13) and remained prognostic after adjustment for gene expression molecular subtype and TAP1 expression (N = 599; HR, 2.22; 95% CI, 1.66-2.95; P = 4.1 × 10-8). Methylation signature was inversely related to CD8+ TIL levels (P = 2.4 × 10-7) and TAP1 expression (P = 0.0011) and was associated with gene expression molecular subtype (P = 5.9 × 10-4) in covariate-adjusted analysis. CONCLUSIONS Multi-center analysis identified a novel quantitative tumor methylation signature of HGSC applicable to numerous commercially available platforms indicative of shorter time to recurrence/death, adjusting for other factors. Along with immune cell composition analysis, these results suggest a role for DNA methylation in the immunosuppressive microenvironment. IMPACT This work aids in identification of targetable epigenome processes and stratification of patients for whom tailored treatment may be most beneficial.
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Affiliation(s)
- Chen Wang
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | | | - Julie M. Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Mark E. Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Bryan M. McCauley
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Sebastian M. Armasu
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Robert A. Vierkant
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Nadia Traficante
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Australian Ovarian Cancer Study Group
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research and Department of Gynaecological Oncology, Westmead Hospital, The University of Sydney, Sydney, New South Wales, Australia
| | - Aline Talhouk
- British Columbia’s Ovarian Cancer Research (OVCARE) Program, BC Cancer, Vancouver General Hospital, and University of British Columbia, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Susan J. Ramus
- School of Clinical Medicine, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia
- Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia
| | | | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Brooke D. Jorgensen
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Dale W. Garsed
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Jennifer A. Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Michael S. Anglesio
- British Columbia’s Ovarian Cancer Research (OVCARE) Program, BC Cancer, Vancouver General Hospital, and University of British Columbia, Vancouver, BC, Canada
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, Universität Innsbruck, Hall in Tirol, Austria
| | - Tanja Pejovic
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Jesus Gonzalez Bosquet
- Department of Obstetrics and Gynecologic, Division of Gynecologic Oncology, University of Iowa, Iowa City, IA, USA
| | - David D. Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Stacey J. Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Ellen L. Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
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15
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Sherman ME, Vierkant RA, Masters M, Radisky DC, Winham SJ, Degnim AC, Vachon CM, Patel AV, Teras LR. Benign Breast Disease, NSAIDs, and Postmenopausal Breast Cancer Risk in the CPS-II Cohort. Cancer Prev Res (Phila) 2023; 16:175-184. [PMID: 36596665 PMCID: PMC10043807 DOI: 10.1158/1940-6207.capr-22-0403] [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: 09/06/2022] [Revised: 11/22/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023]
Abstract
ABSTRACT Nonsteroidal anti-inflammatory agents (NSAID) are associated with modest inconsistent reductions in breast cancer risk in population-based cohorts, whereas two focused studies of patients with benign breast disease (BBD) have found lower risk with NSAID use. Given that BBD includes fibroinflammatory lesions linked to elevated breast cancer risk, we assessed whether NSAID use was associated with lower breast cancer risk among patients with BBD.Participants were postmenopausal women in the Cancer Prevention Study-II (CPS-II), a prospective study of cancer incidence and mortality, who completed follow-up surveys in 1997 with follow-up through June 30, 2015. History of BBD, NSAID use, and covariate data were updated biennially. This analysis included 23,615 patients with BBD and 36,751 patients with non-BBD, including 3,896 incident breast cancers over an average of 12.72 years of follow-up among participants. NSAID use, overall and by formulation, recency, duration, and pills per month was analyzed versus breast cancer risk overall and by BBD status using multivariable-adjusted Cox models; BBD status and NSAID use were modeled as time-dependent exposures.Patients with BBD who reported using NSAIDs experienced lower breast cancer risk (HR, 0.87; 95% CI, 0.78-0.97), with similar effects for estrogen receptor (ER)-positive breast cancers [HR, 0.85; 95% confidence interval (CI), 0.74-0.97] and ER-negative breast cancers (HR, 0.87; 95% CI, 0.59-1.29); among women without BBD, NSAID use was unrelated to risk (HR, 1.02; 95% CI, 0.92-1.13; Pinteraction = 0.04). Associations stratified by age, obesity, menopausal hormone use, and cardiovascular disease were similar.Among patients with BBD, NSAID use appears linked to lower breast cancer risk. Further studies to assess the value of NSAID use among patients with BBD are warranted. PREVENTION RELEVANCE We examined whether NSAID use, a modifiable exposure, is associated with breast cancer risk in postmenopausal women from the Cancer Prevention Study-II with self-reported benign breast disease, an often inflammatory condition associated with higher rates of breast cancer.
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Affiliation(s)
- Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida
| | | | - Matthew Masters
- Behavioral and Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida
| | - Stacey J Winham
- Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
| | | | - Alpa V Patel
- Behavioral and Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Lauren R Teras
- Behavioral and Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
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16
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Ogony J, Hoskin TL, Stallings-Mann M, Winham S, Brahmbhatt R, Arshad MA, Kannan N, Peña A, Allers T, Brown A, Sherman ME, Visscher DW, Knutson KL, Radisky DC, Degnim AC. Immune cells are increased in normal breast tissues of BRCA1/2 mutation carriers. Breast Cancer Res Treat 2023; 197:277-285. [PMID: 36380012 PMCID: PMC10168666 DOI: 10.1007/s10549-022-06786-y] [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: 06/15/2022] [Accepted: 10/25/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE Breast cancer risk is elevated in pathogenic germline BRCA 1/2 mutation carriers due to compromised DNA quality control. We hypothesized that if immunosurveillance promotes tumor suppression, then normal/benign breast lobules from BRCA carriers may demonstrate higher immune cell densities. METHODS We assessed immune cell composition in normal/benign breast lobules from age-matched women with progressively increased breast cancer risk, including (1) low risk: 19 women who donated normal breast tissue to the Komen Tissue Bank (KTB) at Indiana University Simon Cancer Center, (2) intermediate risk: 15 women with biopsy-identified benign breast disease (BBD), and (3) high risk: 19 prophylactic mastectomies from women with germline mutations in BRCA1/2 genes. We performed immunohistochemical stains and analysis to quantitate immune cell densities from digital images in up to 10 representative lobules per sample. Median cell counts per mm2 were compared between groups using Wilcoxon rank-sum tests. RESULTS Normal/benign breast lobules from BRCA carriers had significantly higher densities of immune cells/mm2 compared to KTB normal donors (all p < 0.001): CD8 + 354.4 vs 150.9; CD4 + 116.3 vs 17.7; CD68 + 237.5 vs 57.8; and CD11c + (3.5% vs 0.4% pixels positive). BBD tissues differed from BRCA carriers only in CD8 + cells but had higher densities of CD4 + , CD11c + , and CD68 + immune cells compared to KTB donors. CONCLUSIONS These preliminary analyses show that normal/benign breast lobules of BRCA mutation carriers contain increased immune cells compared with normal donor breast tissues, and BBD tissues appear overall more similar to BRCA carriers.
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Affiliation(s)
- Joshua Ogony
- Quantitative Health Sciences, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Tanya L Hoskin
- Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Melody Stallings-Mann
- Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Stacey Winham
- Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Rushin Brahmbhatt
- Department of Surgery, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN, 55905, USA
| | - Muhammad Asad Arshad
- Department of Surgery, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN, 55905, USA
| | - Nagarajan Kannan
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Alvaro Peña
- Department of Surgery, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN, 55905, USA
| | - Teresa Allers
- Department of Surgery, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN, 55905, USA
| | - Alyssa Brown
- Mayo Graduate School, Mayo Clinic, Rochester, MN, USA
| | - Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN, 55905, USA.
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Wickland DP, Sherman ME, Radisky DC, Mansfield AS, Asmann YW. Response to Mitr and Pollack. J Natl Cancer Inst 2022; 114:1729-1730. [PMID: 35801929 PMCID: PMC9745428 DOI: 10.1093/jnci/djac133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Daniel P Wickland
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | - Aaron S Mansfield
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA
- Precision Cancer Therapeutics, Mayo Clinic Center for Individualized Medicine, Rochester, MN, USA
| | - Yan W Asmann
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
- Precision Cancer Therapeutics, Mayo Clinic Center for Individualized Medicine, Rochester, MN, USA
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18
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Ruddy KJ, Vierkant RA, Jahan N, Higgins A, Partridge A, Larson N, Radisky DC, Couch F, Olson J, Sherman ME. Reproductive risk factors associated with breast cancer in young women by molecular subtype. Breast 2022; 66:272-277. [PMID: 36375388 PMCID: PMC9663520 DOI: 10.1016/j.breast.2022.11.004] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/03/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Few studies have examined detailed features of pregnancy and the postpartum period as potential risk factors for early onset breast cancer (BC) by molecular subtype. These data may have value for improving risk assessment and prevention. METHODS We surveyed parous enrollees in the prospective Mayo Clinic Breast Disease Registry (MCBDR) who had been diagnosed with BC at age <55 years between 2015 and 2020. Summary statistics were used to describe survey responses and reproductive risk factors by BC subtype (defined by estrogen/progesterone receptors and human epidermal growth factor receptor expression, nurse-abstracted from the medical record). Associations were assessed with Kruskal-Wallis and Chi-Square tests, followed by age-adjusted linear and logistic regression models. We compared results from this parous cohort to those from a separate cohort of nulliparous MCBDR participants with BC diagnosed at age <55 years. RESULTS In 436 parous respondents with subtype data abstracted, we identified a higher frequency of BRCA1 mutation, earlier age at diagnosis, and lower BI in patients with triple negative BC. Comparing parous to nulliparous young women with breast cancer, the proportion with TNBC was larger in the latter (12.2% vs. 15.1%, p = 0.03). CONCLUSIONS Early age at diagnosis and deleterious BRCA1 mutation were more frequent among TNBC patients. In addition, parous young women with TNBC had a lower BI than those with other BC subtypes, a hypothesis-generating finding that supports the need for additional research on the cycle of pregnancy-lactation-postpartum involution and BC etiology.
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Affiliation(s)
| | - Robert A Vierkant
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Nusrat Jahan
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | | | - Ann Partridge
- Division of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nicole Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | - Fergus Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Janet Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
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19
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Sherman ME, de Bel T, Heckman MG, White L, Ogony J, Stallings-Mann M, Hilton T, Degnim AC, Vierkant RA, Hoskin T, Jensen M, Pacheco-Spann L, Henry JE, Storniolo AM, Carter JM, Winham SJ, Radisky DC, van der Laak J. Serum hormone levels and normal breast histology among premenopausal women. Breast Cancer Res Treat 2022; 194:149-158. [PMID: 35503494 PMCID: PMC9869890 DOI: 10.1007/s10549-022-06600-9] [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: 01/17/2022] [Accepted: 04/04/2022] [Indexed: 01/26/2023]
Abstract
PURPOSE Breast terminal duct lobular units (TDLUs) are the main source of breast cancer (BC) precursors. Higher serum concentrations of hormones and growth factors have been linked to increased TDLU numbers and to elevated BC risk, with variable effects by menopausal status. We assessed associations of circulating factors with breast histology among premenopausal women using artificial intelligence (AI) and preliminarily tested whether parity modifies associations. METHODS Pathology AI analysis was performed on 316 digital images of H&E-stained sections of normal breast tissues from Komen Tissue Bank donors ages ≤ 45 years to assess 11 quantitative metrics. Associations of circulating factors with AI metrics were assessed using regression analyses, with inclusion of interaction terms to assess effect modification. RESULTS Higher prolactin levels were related to larger TDLU area (p < 0.001) and increased presence of adipose tissue proximate to TDLUs (p < 0.001), with less significant positive associations for acini counts (p = 0.012), dilated acini (p = 0.043), capillary area (p = 0.014), epithelial area (p = 0.007), and mononuclear cell counts (p = 0.017). Testosterone levels were associated with increased TDLU counts (p < 0.001), irrespective of parity, but associations differed by adipose tissue content. AI data for TDLU counts generally agreed with prior visual assessments. CONCLUSION Among premenopausal women, serum hormone levels linked to BC risk were also associated with quantitative features of normal breast tissue. These relationships were suggestively modified by parity status and tissue composition. We conclude that the microanatomic features of normal breast tissue may represent a marker of BC risk.
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Affiliation(s)
- Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Thomas de Bel
- Department of Pathology, Radboud University Medical Center,Radboud Institute of Health Sciences, Nijmegen, The Netherlands
| | | | - Launia White
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Joshua Ogony
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Tracy Hilton
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Amy C. Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Tanya Hoskin
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Matthew Jensen
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Jill E. Henry
- Susan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine
| | - Anna Maria Storniolo
- Susan G. Komen Tissue Bank at the IU Simon Cancer Center, Indiana University School of Medicine
| | - Jodi M. Carter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Stacey J. Winham
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Derek C. Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Jeroen van der Laak
- Department of Pathology, Radboud University Medical Center,Radboud Institute of Health Sciences, Nijmegen, The Netherlands,Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
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20
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Vierkant RA, Carter JM, Winham SJ, Wang C, Kachergus JM, Shi J, Moore RM, McCauley BM, Pacheco-Spann LM, Thompson EA, Radisky DC, Degnim AC, Sherman ME. Abstract 2203: Towards prediction of breast cancer risk in benign biopsies with high-plex GeoMx spatial protein profiling. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2203] [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: Biopsy diagnoses of benign breast disease (BBD) confer a 1.5- to 4-fold increased risk of developing breast cancer (BC) compared with women without BBD. Previously, we reported that decreased numbers of specific immune cell types in lobules of BBD biopsies predicted increased BC risk, suggesting the promise of future tissue biomarker studies to define BC risk markers among BBD patients. Thus, we applied protein-based GeoMx® Digital Spatial Profiling (DSP) to BBD biopsies preceding BC (cases) and to BBD biopsies from cancer-free patients (controls) to identify possible BC risk markers, which we then evaluated in subsequent BC tissues and in surrounding normal lobules of cases.
Methods: Archived pathology slides of BBD biopsies were reviewed and used to guide preparation of TMAs containing 1.0-mm diameter FFPE cores of lobules from an age- and cohort-period-matched set of 91 cases and 88 controls from the Mayo Clinic BBD Cohort. For patients who later developed BC, we prepared TMAs of BC tissue and surrounding mapped normal lobules. We applied GeoMx® DSP (immune and canonical signaling proteins) to both sets of TMAs. Following QC and data normalization, associations of case status with log-transformed biomarker expression in lobules of BBD biopsies were carried out using linear mixed modeling approaches, accounting for multiple ROIs per individual. Biomarkers significantly associated with case status (p<0.05) were further examined in BCs and adjacent normal lobules, using similar approaches.
Results: The mean age at BBD biopsy was 52 years, and at BC diagnosis of cases, 61.4 years (mean time from BBD to BC was 10.2 years). A family history of BC was more frequent among cases (70% versus 43%; chi-square p=0.002). Of 72 biomarkers tested, 46 (64.4%) were evaluable after QC and normalization and 5 were associated with BC risk after adjustment for family history of BC: BCL2 (p=0.005), STING (p=0.006), CD44 (p=0.02), S100 protein (p=0.03) and pan-AKT (p=0.05); each showed higher levels in lobules of BBD biopsies of controls than cases. Three unique patterns appeared when examining these biomarkers across tissue type within cases: for BCL2 (p=5 x 10-9) and STING (p=2 x 10-19), levels were high in both BC and lobules surrounding BC but low in preceding BBD; for GAPDH (p=4 x 10-53) and pan-AKT (p=2 x 10-33), levels were high in BC, low in preceding BBD, and moderate in lobules surrounding BC; and for CD44 (p=2 x 10-6) and S100B (p=2 x 10-49), levels were low in BC, high in lobules surrounding BC and moderate in preceding BBD.
Conclusions: Using a novel TMA of lobules in combination with DSP, we preliminarily identified immune-based and PI3 kinase-related protein biomarkers in BBD biopsies associated with BC risk. In case-only analyses, these markers demonstrated complex differences between lobules in BBD biopsies, subsequent BCs and adjacent normal lobules.
Citation Format: Robert Alan Vierkant, Jodi M. Carter, Stacey J. Winham, Chen Wang, Jennifer M. Kachergus, Ji Shi, Raymond M. Moore, Bryan M. McCauley, Laura M. Pacheco-Spann, E A. Thompson, Derek C. Radisky, Amy C. Degnim, Mark E. Sherman. Towards prediction of breast cancer risk in benign biopsies with high-plex GeoMx spatial protein profiling [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 2203.
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Affiliation(s)
| | | | | | | | | | - Ji Shi
- 2Mayo Clinic, Jacksonville, FL
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21
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DeStephano CC, Allyse MA, Abu Dabrh AMM, Ridgeway JL, Salinas M, Sherman ME, Spaulding AC. Pilot study of women's perspectives when abnormal uterine bleeding occurs during perimenopause. Climacteric 2022; 25:510-515. [PMID: 35652469 DOI: 10.1080/13697137.2022.2073810] [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] [Indexed: 11/03/2022]
Abstract
OBJECTIVE We gained insights into women's experiences and knowledge about the occurrence of vaginal bleeding during perimenopause requiring evaluation. METHODS Qualitative inquiry was chosen to explore topics in greater depth to understand individuals' experiences. Interviews with individuals were chosen due to the sensitive nature of gynecologic symptoms and management. Interviews were completed following gynecologic care to explore individuals' experiences with the evaluation and management of vaginal bleeding during perimenopause. RESULTS Twelve individuals were interviewed between December 2019 and March 2020. Patient uncertainty about the medical significance of developing vaginal bleeding during perimenopause was associated with self-appraisal and gathering information from multiple sources. This experience of seeking evaluation and treatment resulted in varying degrees of trust concerning information received within or outside the clinic. Regarding new technologies that could replace the current invasive tests performed for diagnosis (i.e. ultrasound, hysteroscopy and biopsy), most women preferred the smartphone app and tampon home collection option. CONCLUSIONS The experience of irregular or heavy vaginal bleeding during perimenopause is fraught with ambiguity, feelings of uncertainty about how to make sense of symptoms and inevitably begins with a period of self-appraisal.
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Affiliation(s)
- C C DeStephano
- Department of Medical and Surgical Gynecology, Mayo Clinic, Jacksonville, FL, USA.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA
| | - M A Allyse
- Department of Clinical Genomics, Biomedical Ethics Research Program, Mayo Clinic, Jacksonville, FL, USA
| | - A M M Abu Dabrh
- Department of Integrative Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - J L Ridgeway
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - M Salinas
- Center for Health Equity and Community Engaged Research, Mayo Clinic, Jacksonville, FL, USA
| | - M E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - A C Spaulding
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, USA
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22
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Weng J, Bakkum-Gamez JN, Slettedahl S, Mahoney DW, Cao X, Foote PH, Burger K, Berger CK, O'Connell M, Arndt JR, Doering KA, Sherman ME, Taylor WR, Chen L, Couch F, Kisiel JB, Samadder J. Methylated DNA markers discriminate ovarian cancer from benign tissue in BRCA carriers. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e17610] [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: 11/20/2022] Open
Abstract
e17610 Background: Methylated DNA markers (MDMs) associated with sporadic ovarian cancer (OC) are detected in plasma from patients with treatment naïve tumors, but not cancer-free controls. To assess potential benefits to patients at risk for hereditary OC, the aim of this study was to measure the performance of validated sporadic OC MDMs in OC and benign ovarian tissue (BOT), surgically obtained from germline BRCA1 or BRCA2 ( BRCA1/2) mutation carriers. Methods: BRCA1/2 carriers with OC and BRCA1/2 carriers who had undergone risk-reducing salpingo-oophorectomy (SO) were identified at a comprehensive cancer center. BRCA1/2 carriers in both OC and BOT groups were balanced on age and year of surgery with non- BRCA carriers with sporadic OC or benign indications for SO. OC and BOT formalin fixed paraffin embedded (FFPE) tissues were macrodissected following pathologist selection of representative sites; DNA was extracted, and bisulfite converted. 15 OC MDMs ( GDF6, IFFO1, MAX.chr1.147790358, MAX.chr6.10382190, MAX.chr11.14926602, C2CD4D, PDRM14, NCOR2, SKI, DSCR6, SIM2, PALLD, CDO1, GPRIN1, BCAT1) previously identified in sporadic OC were assayed by quantitative methylation specific PCR, normalized by β-actin, by blinded personnel. Areas under the receiver operating characteristic curve (AUC) were generated for each MDM to assess discrimination of OC from benign tissue and compared between BRCA1/2 and sporadic (non- BRCA) patients, using a z-test. Results: Among BRCA1/2 carriers, there were 48 OC ( BRCA-OC) and 48 BOT ( BRCA-BOT); among non- BRCA, we matched 48 OC (Sporadic-OC) and 48 BOT (non- BRCA-BOT). The median AUC for OC MDM discriminated between OC and BOT with AUCs in BRCA1/2 carriers was 0.87, (IQR, 0.83-0.93). Sporadic-OC vs non- BRCA-BOT median AUC was 0.88 (IQR, 0.83-0.92). AUCs were not significantly different for each MDM when stratified by BRCA or sporadic status. MDMs with an AUC of ≥0.9 in either group are shown (Table). Conclusions: OC MDMs identified and validated in sporadic OC are highly discriminant for OC from BOT in DNA extracted from tissues of people who carry a BRCA1/2 mutation. Testing the performance of these OC MDMs in plasma from BRCA1/2 carriers with and without OC may be of clinical value for high-risk patients and inform multi-cancer early detection testing strategies.[Table: see text]
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Affiliation(s)
- Jessica Weng
- Mayo Clinic Alix School of Medicine, Rochester, MN
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Fergus Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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23
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Sung H, Koka H, Marino N, Pfeiffer RM, Cora R, Figueroa JD, Sherman ME, Gierach GL, Yang XR. Associations of Genetic Ancestry with Terminal Duct Lobular Unit Involution among Healthy Women. J Natl Cancer Inst 2022; 114:1420-1424. [PMID: 35333343 DOI: 10.1093/jnci/djac063] [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] [Received: 11/09/2021] [Revised: 01/31/2022] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
Reduced age-related terminal duct lobular unit (TDLU) involution has been linked to increased breast cancer risk and triple-negative breast cancer (TNBC). Associations of TDLU involution levels with race and ethnicity remain incompletely explored. Herein, we examined associations between genetic ancestry and TDLU involution in normal breast tissue donated by 2,014 healthy women in the US. Women of African ancestry were more likely than European women to have increased TDLU counts (odds ratio [OR]trend=1.36; 95% CI = 1.07-1.74), acini counts/TDLU (OR = 1.47; 95% CI = 1.06-2.03), and median TDLU span (ORtrend=1.44; 95% CI = 1.08-1.91), indicating lower involution; whereas East Asian descendants were associated with decreased TDLU counts (ORtrend=0.52; 95% CI = 0.35-0.78) after controlling for potential confounders. These associations are consistent with the racial variations in incidence rates of TNBC in the US and suggest opportunities for future work examining whether TDLU involution may mediate the racial differences in subtype-specific breast cancer risk.
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Affiliation(s)
- Hyuna Sung
- Surveillance and Health Equity Science,American Cancer Society, Atlanta, Georgia, USA
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Natascia Marino
- Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Renata Cora
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jonine D Figueroa
- Usher institute, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Mark E Sherman
- Quantitative Health Sciences,Mayo Clinic, Jacksonville, Florida, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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24
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Wickland DP, Sherman ME, Radisky DC, Mansfield AS, Asmann YW. Lower Exome Sequencing Coverage of Ancestrally African Patients in The Cancer Genome Atlas. J Natl Cancer Inst 2022; 114:1192-1199. [PMID: 35299252 PMCID: PMC9360464 DOI: 10.1093/jnci/djac054] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 09/29/2021] [Revised: 12/18/2021] [Accepted: 02/25/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND In the United States, cancer disproportionately impacts Black and African American individuals. Identifying genetic factors underlying cancer disparities has been an important research focus and requires data that are equitable in both quantity and quality across racial groups. It is widely recognized that DNA databases quantitatively underrepresent minorities. However, the differences in data quality between racial groups have not been well studied. METHODS We compared the qualities of germline and tumor exomes between ancestrally African and European patients in The Cancer Genome Atlas of 7 cancers with at least 50 self-reported Black patients in the context of sequencing depth, tumor purity, and qualities of germline variants and somatic mutations. RESULTS Germline and tumor exomes from ancestrally African patients were sequenced at statistically significantly lower depth in 6 out of the 7 cancers. For 3 cancers, most ancestrally European exomes were sequenced in early sample batches at higher depth, whereas ancestrally African exomes were concentrated in later batches and sequenced at much lower depth. For the other 3 cancers, the reasons of lower sequencing coverage of ancestrally African exomes remain unknown. Furthermore, even when the sequencing depths were comparable, African exomes had disproportionally higher percentages of positions with insufficient coverage, likely because of the known European bias in the human reference genome that impacted exome capture kit design. CONCLUSIONS Overall and positional lower sequencing depths of ancestrally African exomes in The Cancer Genome Atlas led to underdetection and lower quality of variants, highlighting the need to consider epidemiological factors for future genomics studies.
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Affiliation(s)
- Daniel P Wickland
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Yan W Asmann
- Correspondence to: Yan W. Asmann, PhD, Department of Quantitative Health Sciences, Mayo Clinic, 4500 San Pablo Rd S, Jacksonville, FL 32224, USA (e-mail: )
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25
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Marinelli LM, Kisiel JB, Slettedahl SW, Mahoney DW, Lemens MA, Shridhar V, Taylor WR, Staub JK, Cao X, Foote PH, Burger KN, Berger CK, O'Connell MC, Doering KA, Giakoumopoulos M, Berg H, Volkmann C, Solsrud A, Allawi HT, Kaiser M, Vaccaro AM, Albright Crawford C, Moehlenkamp C, Shea G, Deist MS, Schoolmeester JK, Kerr SE, Sherman ME, Bakkum-Gamez JN. Methylated DNA markers for plasma detection of ovarian cancer: Discovery, validation, and clinical feasibility. Gynecol Oncol 2022; 165:568-576. [DOI: 10.1016/j.ygyno.2022.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 11/25/2022]
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26
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Mai PL, Miller A, Black A, Falk RT, Boggess JF, Tucker K, Stuckey AR, Rodriguez GC, Wong C, Amatruda TT, Wilkinson KJ, Modesitt SC, Yamada SD, Bixel KL, Glaser GE, Rose PG, Greene MH, Sherman ME. Effect of risk-reducing salpingo-oophorectomy on sex steroid hormone serum levels among postmenopausal women: an NRG Oncology/Gynecologic Oncology Group study. Am J Obstet Gynecol 2022; 227:61.e1-61.e18. [PMID: 35216968 DOI: 10.1016/j.ajog.2022.02.022] [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: 11/22/2021] [Revised: 02/14/2022] [Accepted: 02/17/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Risk-reducing salpingo-oophorectomy is an effective ovarian cancer risk reduction strategy. However, bilateral oophorectomy has also been associated with increased long-term nonneoplastic sequelae, effects suggested to be mediated through reductions in systemic sex steroid hormone levels. Currently, it is unclear whether the postmenopausal ovary contributes to the systemic hormonal milieu or whether postmenopausal ovarian volume or other factors, such as body mass index and age, affect systemic hormone levels. OBJECTIVE We examined the impact of oophorectomy on sex steroid hormone levels in postmenopausal women. Furthermore, we explored how well ovarian volume measured by transvaginal ultrasound correlated with direct ovarian measures obtained during surgical pathology evaluation and investigated the association between hormone levels and ovarian volumes. STUDY DESIGN Postmenopausal women who underwent risk-reducing salpingo-oophorectomy (180 cases) or ovarian cancer screening (38 controls) enrolled in an international, prospective study of risk-reducing salpingo-oophorectomy and risk of ovarian cancer algorithm-based screening among women at increased risk of ovarian cancer (Gynecologic Oncology Group-0199) were included in this analysis. Controls were frequency matched to the cases on age at menopause, age at study entry, and time interval between blood draws. Ovarian volume was calculated using measurements obtained from transvaginal ultrasound in both cases and controls and measurements recorded in surgical pathology reports from cases. Serum hormone levels of testosterone, androstenedione, androstenediol, dihydrotestosterone, androsterone, dehydroepiandrosterone, estrone, estradiol, and sex hormone-binding globulin were measured at baseline and follow-up. Spearman correlation coefficients were used to compare ovarian volumes as measured on transvaginal ultrasound and pathology examinations. Correlations between ovarian volumes by transvaginal ultrasound and measured hormone levels were examined using linear regression models. All models were adjusted for age. Paired t tests were performed to evaluate individual differences in hormone levels before and after risk-reducing salpingo-oophorectomy. RESULTS Ovarian volumes measured by transvaginal ultrasound were only moderately correlated with those reported on pathology reports (Spearman rho [ρ]=0.42). The median time interval between risk-reducing salpingo-oophorectomy and follow-up for the cases was 13.3 months (range, 6.0-19.3), and the median time interval between baseline and follow-up for the controls was 12.7 months (range, 8.7-13.4). Sex steroid levels decreased with age but were not correlated with transvaginal ultrasound ovarian volume, body mass index, or time since menopause. Estradiol levels were significantly lower after risk-reducing salpingo-oophorectomy (percentage change, -61.9 post-risk-reducing salpingo-oophorectomy vs +15.2 in controls; P=.02), but no significant differences were seen for the other hormones. CONCLUSION Ovarian volumes measured by transvaginal ultrasound were moderately correlated with volumes directly measured on pathology specimens and were not correlated with sex steroid hormone levels in postmenopausal women. Estradiol was the only hormone that declined significantly after risk-reducing salpingo-oophorectomy. Thus, it remains unclear whether the limited post-risk-reducing salpingo-oophorectomy changes in sex steroid hormones among postmenopausal women impact long-term adverse outcomes.
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Affiliation(s)
- Phuong L Mai
- Center for Clinical Genetics and Genomics, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA.
| | - Austin Miller
- NRG Oncology, Clinical Trial Development Division, Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - John F Boggess
- Department of Obstetrics and Gynecology, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Katherine Tucker
- Hereditary Cancer Centre, Nelune Comprehensive Cancer Centre, Department of Medical Oncology, Prince of Wales Hospital and Community Health Services, Prince of Wales Clinical School, University of New South Wales, Sydney, Australia
| | - Ashley R Stuckey
- Department of Obstetrics and Gynecology, Women & Infants Hospital, Providence, RI
| | - Gustavo C Rodriguez
- Division of Gynecologic Oncology, NorthShore University Health System, Evanston, IL
| | - Cheung Wong
- Division of Gynecologic Oncology, University of Vermont Medical Center, Burlington, VT
| | - Thomas T Amatruda
- Metro-Minnesota Community Oncology Research Consortium, Fridley Clinic, Fridley, MN
| | - Kelly J Wilkinson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Susan C Modesitt
- Division of Gynecologic Oncology, University of Virginia Health, Charlottesville, VA
| | - S Diane Yamada
- Division of Gynecologic Oncology, The University of Chicago Medicine, Chicago, IL
| | - Kristin L Bixel
- Division of Gynecologic Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Peter G Rose
- Division of Gynecologic Oncology, Case Comprehensive Cancer Center, Cleveland Clinic, Cleveland, OH
| | - Mark H Greene
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Mark E Sherman
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL
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Vierkant RA, Masters M, Teras LR, Sherman ME. Abstract P2-11-01: Breast cancer (BC) risk among patients with benign breast disease (BBD) by NSAID use. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p2-11-01] [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
Background: Approximately one million U.S women are diagnosed with benign breast disease (BBD) annually, which increases breast cancer (BC) risk between 1.5- and four-fold, depending on the pathologic characteristics of the lesion and other factors. BBD lesions are associated with inflammation and fibrosis, suggesting that inflammatory pathways may play a role in progression of BBD to BC. Aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) are well tolerated, widely used drugs that block inflammation by inhibiting cyclooxygenase enzymes, which lowers prostaglandin synthesis, and by exerting numerous additional anti-inflammatory effects. NSAIDs are inversely associated with several types of cancer, including BC in some, but not all studies, and have been linked to lower BC risk among BBD patients in prior publications. We examined the association between NSAID use and BC risk, overall and by self-reported history of BBD, using data from the American Cancer Society Cancer Prevention Study II (CPS-II). Methods: The Cancer Prevention Study-II (CPS-II) Nutrition Cohort is a study of approximately 189,000 U.S. men and women followed prospectively for cancer incidence and mortality. Study participants filled out a detailed questionnaire at baseline in 1992/1993 and follow-up surveys in 1997 and every two years until 2017. On each follow-up survey, participants reported type, quantity, and duration of NSAID use as well as diagnoses of BBD. Incident BCs were either self-reported and validated via medical records or cancer registry linkage, or identified via National Death Index linkage. Women in the analytic cohort were followed from date of 1997 survey until diagnosis of BC, reported use of tamoxifen, report of cancer other than BC, date of death, loss to follow-up or end of follow-up. Hazard ratios (HRs) and 95% confidence intervals (CIs) assessing associations of BBD and NSAID use with BC risk were estimated using Cox proportional hazards regression analysis. Statistical interactions between BBD and NSAID were evaluated by fitting and testing the corresponding cross-product terms, along with the main effects of each. Both NSAID use and BBD were modeled as time-dependent variables, allowing exposure status to change over the course of the multiple surveys returned. Results: Of the 60,517 women included in the study, 3,899 (6.4%) developed BC. Mean follow-up time was 12.7 years. A total of 23,661 women (39%) reported a diagnosis of BBD at some point during the study period, and 54,656 (90%) reported some NSAID use. Women self-reporting BBD were 46% more likely to develop BC than those without self-reported BBD (HR 1.46, 95% CI 1.36-1.57). Overall, BC risk was not increased among NSAID users versus non-users (HR 0.95, 95% CI 0.88-1.02). In contrast, BC risk was reduced among current NSAID users with a history of BBD (HR 0.87, 95% CI 0.78-0.97), but not among NSAID users who did not report a history of BBD (HR 1.02, 95% CI 0.92-1.13, p-interaction=0.04). Risk did not differ across number of pills per month (RR=0.84 for <15 pills/month, 0.89 for 15-29, 0.88 for 30-44, 0.78 for 45-59, 0.88 for 60+). Conclusion: In our study, NSAID use had a statistically-significant protective effect on BC risk among women with BBD, suggesting its potential use as a chemopreventive agent in this high-risk group of women, but not among those who did not report a history of BBD.
Citation Format: Robert A Vierkant, Matthew Masters, Lauren R Teras, Mark E Sherman. Breast cancer (BC) risk among patients with benign breast disease (BBD) by NSAID use [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 P2-11-01.
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de Bel T, Litjens G, Ogony J, Stallings-Mann M, Carter JM, Hilton T, Radisky DC, Vierkant RA, Broderick B, Hoskin TL, Winham SJ, Frost MH, Visscher DW, Allers T, Degnim AC, Sherman ME, van der Laak JAWM. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning. NPJ Breast Cancer 2022; 8:13. [PMID: 35046392 PMCID: PMC8770616 DOI: 10.1038/s41523-021-00378-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 07/21/2021] [Accepted: 12/06/2021] [Indexed: 02/07/2023] Open
Abstract
Convolutional neural networks (CNNs) offer the potential to generate comprehensive quantitative analysis of histologic features. Diagnostic reporting of benign breast disease (BBD) biopsies is usually limited to subjective assessment of the most severe lesion in a sample, while ignoring the vast majority of tissue features, including involution of background terminal duct lobular units (TDLUs), the structures from which breast cancers arise. Studies indicate that increased levels of age-related TDLU involution in BBD biopsies predict lower breast cancer risk, and therefore its assessment may have potential value in risk assessment and management. However, assessment of TDLU involution is time-consuming and difficult to standardize and quantitate. Accordingly, we developed a CNN to enable automated quantitative measurement of TDLU involution and tested its performance in 174 specimens selected from the pathology archives at Mayo Clinic, Rochester, MN. The CNN was trained and tested on a subset of 33 biopsies, delineating important tissue types. Nine quantitative features were extracted from delineated TDLU regions. Our CNN reached an overall dice-score of 0.871 (±0.049) for tissue classes versus reference standard annotation. Consensus of four reviewers scoring 705 images for TDLU involution demonstrated substantial agreement with the CNN method (unweighted κappa = 0.747 ± 0.01). Quantitative involution measures showed anticipated associations with BBD histology, breast cancer risk, breast density, menopausal status, and breast cancer risk prediction scores (p < 0.05). Our work demonstrates the potential to improve risk prediction for women with BBD biopsies by applying CNN approaches to generate automated quantitative evaluation of TDLU involution.
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Affiliation(s)
- Thomas de Bel
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands. .,Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
| | - Geert Litjens
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Joshua Ogony
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | | | - Jodi M Carter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Tracy Hilton
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - Tanya L Hoskin
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Stacey J Winham
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Marlene H Frost
- Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Teresa Allers
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Jeroen A W M van der Laak
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.,Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
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Ahearn TU, Zhang H, Michailidou K, Milne RL, Bolla MK, Dennis J, Dunning AM, Lush M, Wang Q, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baten A, Becher H, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Clarke CL, Collée JM, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Evans DG, Fasching PA, Figueroa J, Floris G, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haiman CA, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Jakimovska M, Jakubowska A, John EM, Jones ME, Jung A, Kaaks R, Kauppila S, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Koutros S, Kristensen VN, Krüger U, Kubelka-Sabit K, Kurian AW, Kyriacou K, Lambrechts D, Lee DG, Lindblom A, Linet M, Lissowska J, Llaneza A, Lo WY, MacInnis RJ, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, McLean C, Meindl A, Menon U, Nevanlinna H, Newman WG, Nodora J, Offit K, Olsson H, Orr N, Park-Simon TW, Patel AV, Peto J, Pita G, Plaseska-Karanfilska D, Prentice R, Punie K, Pylkäs K, Radice P, Rennert G, Romero A, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Schmutzler RK, Schoemaker MJ, Schöttker B, Sherman ME, Shu XO, Smichkoska S, Southey MC, Spinelli JJ, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Teras LR, Terry MB, Torres D, Troester MA, Vachon CM, van Deurzen CHM, van Veen EM, Wagner P, Weinberg CR, Wendt C, Wesseling J, Winqvist R, Wolk A, Yang XR, Zheng W, Couch FJ, Simard J, Kraft P, Easton DF, Pharoah PDP, Schmidt MK, García-Closas M, Chatterjee N. Common variants in breast cancer risk loci predispose to distinct tumor subtypes. Breast Cancer Res 2022; 24:2. [PMID: 34983606 PMCID: PMC8725568 DOI: 10.1186/s13058-021-01484-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 06/15/2021] [Accepted: 11/02/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
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Affiliation(s)
- Thomas U Ahearn
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Haoyu Zhang
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kyriaki Michailidou
- Institute of Neurology & Genetics, Biostatistics Unit, Nicosia, Cyprus
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cyprus School of Molecular Medicine, Institute of Neurology & Genetics, Nicosia, Cyprus
| | - 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
| | - Manjeet K Bolla
- 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
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Michael Lush
- 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
| | - 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
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Adinda Baten
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Biomedical Network On Rare Diseases (CIBERER), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Saint Petersburg State University, Saint-Petersburg, Russia
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-Radiumhospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - 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), 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
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute, Ruhr University Bochum (IPA), Bochum, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), C080, 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
| | - Federico Canzian
- Genomic Epidemiology Group, 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
| | - Stephen J Chanock
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - 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
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Department of Neuroscience, Academic Unit of Pathology, University of Sheffield, Sheffield, 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, PA, USA
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - D Gareth Evans
- 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
- 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
| | - Peter A Fasching
- Department of Gynecology and Obstetrics Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - 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
| | - Giuseppe Floris
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - 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
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - José A García-Sáenz
- Medical Oncology Department, Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, 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
| | - Mark S Goldberg
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Grethe I Grenaker Alnæs
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-Radiumhospitalet, Oslo, Norway
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif, France
| | - 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
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Nightingale & Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | | | | | | | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Robert N Hoover
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - 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
| | - Milena Jakimovska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", MASA, Skopje, Republic of North Macedonia
| | - 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
| | - 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
| | - Saila Kauppila
- Department of Pathology, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - 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, Johanniter Kliniken Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Stella Koutros
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vessela N Kristensen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Ute Krüger
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - 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
| | - Kyriacos Kyriacou
- Cyprus School of Molecular Medicine, Institute of Neurology & Genetics, Nicosia, Cyprus
- Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Derrick G Lee
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
- Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS, Canada
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - 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 Institute of Oncology, Warsaw, Poland
| | - Ana Llaneza
- General and Gastroenterology Surgery Service, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - 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
| | - Arto Mannermaa
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset Stockholm, Sweden
| | | | - Catriona McLean
- Anatomical Pathology, The Alfred Hospital, Melbourne, VIC, Australia
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, University of Munich, Campus Großhadern, Munich, Germany
| | - Usha Menon
- Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - William G Newman
- 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
- 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
| | - Jesse Nodora
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Ireland, UK
| | | | - Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, School of Hygiene and Tropical Medicine, London, UK
| | - Guillermo Pita
- Human Genotyping-CEGEN Unit, Human Cancer Genetic Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", MASA, Skopje, Republic of North Macedonia
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kevin Punie
- Department of General Medical Oncology and Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, University of Oulu, Biocenter Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale Dei Tumori (INT), Milan, Italy
| | - Gad Rennert
- Technion Faculty of Medicine, Clalit National Cancer Control Center, Carmel Medical Center, Haifa, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Thomas Rüdiger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | | | - Sarah Sampson
- Prevent Breast Cancer Centre and Nightingale Breast Screening Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - 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
| | - Rita K Schmutzler
- Center for Integrated Oncology (CIO), Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Snezhana Smichkoska
- Medical Faculty, Ss. Cyril and Methodius University in Skopje, University Clinic of Radiotherapy and Oncology, Skopje, Republic of North Macedonia
| | - 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
| | - John J Spinelli
- Population Oncology, BC Cancer, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - 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 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
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - 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
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Elke M van Veen
- 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
- 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
| | - Philippe Wagner
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Camilla Wendt
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset Stockholm, Sweden
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, University of Oulu, Biocenter 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 GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, 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
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jacques Simard
- Genomics Center, Department of Molecular Medicine, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, Université Laval, Québec City, QC, Canada
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - 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
| | - 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
| | - 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
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
- Department of Oncology, School of Medicine, John Hopkins University, Baltimore, MD, USA
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Feng L, Yang W, Zhao H, Bakkum-Gamez J, Sherman ME, Kannan N. Protocol for the Detection of Organoid-Initiating Cell Activity in Patient-Derived Single Fallopian Tube Epithelial Cells. Methods Mol Biol 2022. [PMID: 35507180 DOI: 10.1007/978-1-0716-1979-7_30/figures/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)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Identification of serous tubal intraepithelial carcinomas (STIC) in the fallopian tubes of women who are carriers of germ line pathogenic variants in tubo-ovarian cancer predisposition genes (i.e., BRCA1 and BRCA2) has led to the hypothesis that many high-grade serous carcinomas (HGSC) arise from the fimbria of the fallopian tube. However, the primitive (stem and progenitor) tubal epithelial cells that give rise to STIC and HGSC have not been defined. Further, as putative HGSC precursors are discovered at salpingectomy, the natural history of such lesions is truncated at diagnosis. Thus, living cultures of human fallopian tubes suitable for experimental studies are needed to define and characterize the cellular origin of HGSCs and thereby advance the discovery of improved methods to assess risk, develop effective early detection tests and identify novel prevention approaches. Accordingly, patient-derived tissue-organoids and isolated epithelial stem cell derived-organoids generated from average and high-risk patients are vital resources to understand the developmental biology of aging fallopian tubes and pathogenesis of HGSCs. With a vision to boost HGSC prevention research, we have established state-of-the-art protocols for the collection, processing, storage, distribution, and management of fallopian tube tissues. Here we describe the protocol for preparing these organoids, with emphasis on the key steps that require meticulous attention to achieve success.
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Affiliation(s)
- Liang Feng
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Mayo Clinic, Rochester, MN, USA
| | - Wenmei Yang
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Hui Zhao
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jamie Bakkum-Gamez
- Department of Gynecological Surgery, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Mark E Sherman
- Mayo Clinic Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Nagarajan Kannan
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Mayo Clinic, Rochester, MN, USA.
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Warring SK, Borah B, Moriarty J, Gullerud R, Lemens MA, Destephano C, Sherman ME, Bakkum-Gamez JN. The cost of diagnosing endometrial cancer: Quantifying the healthcare cost of an abnormal uterine bleeding workup. Gynecol Oncol 2022; 164:93-97. [PMID: 34756471 PMCID: PMC8724459 DOI: 10.1016/j.ygyno.2021.10.079] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/13/2021] [Accepted: 10/15/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE The evaluation of women with perimenopausal abnormal uterine bleeding (AUB) and postmenopausal bleeding (PMB) to detect endometrial cancer (EC) and its precursors is not standardized and can vary widely. Consequently, costs associated with the workup and management undoubtedly vary. This study aimed to quantify costs of AUB/PMB evaluation to understand the healthcare burden associated with securing a pathologic diagnosis. METHODS Women ≥45 years of age presenting to a single institution gynecology clinic with AUB/PMB for diagnostic workup were prospectively enrolled February 2013-October 2017 for a lower genital tract biospecimen research study. Clinical workup of AUB/PMB was determined by individual provider discretion. Costs of care were collected from administrative billing systems from enrollment to 90 days post enrollment. Costs were standardized and inflation-adjusted to 2017 US Dollars (USD). RESULTS In total, there were 1017 women enrolled with 5.6% diagnosed with atypical hyperplasia or endometrial cancer (EC). Within the full cohort, 90-day median cost for AUB/PMB workup and management was $2279 (IQR $512-4828). Among patients with a diagnostic biopsy, median 90-day costs ranged from $2203 (IQR $499-3604) for benign or disordered proliferative endometrium (DPE) diagnosis to $21,039 (IQR $19,084-24,536) for a diagnosis of EC. CONCLUSIONS The costs for diagnostic evaluation of perimenopausal AUB and PMB vary greatly according to ultimate tissue-based diagnosis. Even reassuring benign findings that do not require further intervention-the most common in this study's cohort-yield substantial costs. The development of sensitive, specific, and more cost-effective diagnostic strategies is warranted.
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Affiliation(s)
| | - Bijan Borah
- Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - James Moriarty
- Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Rachel Gullerud
- Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | | | | | | | - Jamie N. Bakkum-Gamez
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN,Division of Gynecologic Oncology, Mayo Clinic, Rochester, MN
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Feng L, Yang W, Zhao H, Bakkum-Gamez J, Sherman ME, Kannan N. Protocol for the Detection of Organoid-Initiating Cell Activity in Patient-Derived Single Fallopian Tube Epithelial Cells. Methods Mol Biol 2022; 2429:445-454. [PMID: 35507180 DOI: 10.1007/978-1-0716-1979-7_30] [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] [Indexed: 06/14/2023]
Abstract
Identification of serous tubal intraepithelial carcinomas (STIC) in the fallopian tubes of women who are carriers of germ line pathogenic variants in tubo-ovarian cancer predisposition genes (i.e., BRCA1 and BRCA2) has led to the hypothesis that many high-grade serous carcinomas (HGSC) arise from the fimbria of the fallopian tube. However, the primitive (stem and progenitor) tubal epithelial cells that give rise to STIC and HGSC have not been defined. Further, as putative HGSC precursors are discovered at salpingectomy, the natural history of such lesions is truncated at diagnosis. Thus, living cultures of human fallopian tubes suitable for experimental studies are needed to define and characterize the cellular origin of HGSCs and thereby advance the discovery of improved methods to assess risk, develop effective early detection tests and identify novel prevention approaches. Accordingly, patient-derived tissue-organoids and isolated epithelial stem cell derived-organoids generated from average and high-risk patients are vital resources to understand the developmental biology of aging fallopian tubes and pathogenesis of HGSCs. With a vision to boost HGSC prevention research, we have established state-of-the-art protocols for the collection, processing, storage, distribution, and management of fallopian tube tissues. Here we describe the protocol for preparing these organoids, with emphasis on the key steps that require meticulous attention to achieve success.
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Affiliation(s)
- Liang Feng
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Mayo Clinic, Rochester, MN, USA
| | - Wenmei Yang
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Hui Zhao
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jamie Bakkum-Gamez
- Department of Gynecological Surgery, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Mark E Sherman
- Mayo Clinic Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Nagarajan Kannan
- Stem Cell and Cancer Biology Laboratory, Division of Experimental Medicine and Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Mayo Clinic, Rochester, MN, USA.
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Vohra SN, Walens A, Hamilton AM, Sherman ME, Schedin P, Nichols HB, Reeder-Hayes KE, Olshan AF, Love MI, Troester MA. Molecular and clinical characterization of postpartum-associated breast cancer in the Carolina Breast Cancer Study Phase I-III, 1993-2013. Cancer Epidemiol Biomarkers Prev 2021; 31:561-568. [PMID: 34810211 PMCID: PMC8901538 DOI: 10.1158/1055-9965.epi-21-0940] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/20/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast cancers in recently postpartum women may have worse outcomes, but studies examining tumor molecular features by pregnancy recency have shown conflicting results. METHODS This analysis used Carolina Breast Cancer Study data to examine clinical and molecular tumor features among women <50 years of age who were recently ( {less than or equal to} 10 years prior), or remotely (>10 years prior) postpartum, or nulliparous. Prevalence odds ratios (PORs) and 95% confidence intervals (CIs) were estimated using multivariable models. RESULTS Recently postpartum women (N=618) were more frequently lymph node positive [POR (95% CI): 1.66 (1.26, 2.19)], ER negative [1.37 (1.02, 1.83)], and IHC-based triple negative [1.57 (1.00, 2.47)] compared to nulliparous (N=360) women. Some differences were identified between recent vs. remotely postpartum; smaller tumor size [0.67 (0.52, 0.86)], p53 wildtype [0.53 (0.36, 0.77)], and non-basal-like phenotype [0.53 (0.33, 0.84)] were more common among recently postpartum. Recently postpartum (vs. nulliparous) had significant enrichment for adaptive immunity, T cells, B cells, CD8 T cells, activated CD8 T cells/NK cells, Tfh cells and higher overall immune cell scores. These differences were attenuated in remotely (compared to recently) postpartum women. CONCLUSIONS These results suggest a dominant effect of parity (vs. nulliparity) and a lesser effect of pregnancy recency on tumor molecular features, although tumor immune microenvironments were altered in association with pregnancy recency. IMPACT Our study is unique in examining tumor immune microenvironment and RNA-based markers according to time since last childbirth. Future studies should examine the interplay between tumor features, post-diagnostic treatment and outcomes among recently postpartum women.
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Affiliation(s)
- Sanah N Vohra
- Epidemiology, University of North Carolina at Chapel Hill
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill
| | - Alina M Hamilton
- Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill
| | | | - Pepper Schedin
- Cell, Developmental and Cancer Biology, Oregon Health & Science University
| | - Hazel B Nichols
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | | | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | - Michael I Love
- Department of Biostatistics, University of North Carolina at Chapel Hill
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
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Bodelon C, Mullooly M, Pfeiffer RM, Fan S, Abubakar M, Lenz P, Vacek PM, Weaver DL, Herschorn SD, Johnson JM, Sprague BL, Hewitt S, Shepherd J, Malkov S, Keely PJ, Eliceiri KW, Sherman ME, Conklin MW, Gierach GL. Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy. Breast Cancer Res 2021; 23:105. [PMID: 34753492 PMCID: PMC8579610 DOI: 10.1186/s13058-021-01482-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/26/2021] [Indexed: 12/20/2022] Open
Abstract
Background Elevated mammographic breast density is a strong breast cancer risk factor with poorly understood etiology. Increased deposition of collagen, one of the main fibrous proteins present in breast stroma, has been associated with increased mammographic density. Collagen fiber architecture has been linked to poor outcomes in breast cancer. However, relationships of quantitative collagen fiber features assessed in diagnostic biopsies with mammographic density and lesion severity are not well-established. Methods Clinically indicated breast biopsies from 65 in situ or invasive breast cancer cases and 73 frequency matched-controls with a benign biopsy result were used to measure collagen fiber features (length, straightness, width, alignment, orientation and density (fibers/µm2)) using second harmonic generation microscopy in up to three regions of interest (ROIs) per biopsy: normal, benign breast disease, and cancer. Local and global mammographic density volumes were quantified in the ipsilateral breast in pre-biopsy full-field digital mammograms. Associations of fibrillar collagen features with mammographic density and severity of biopsy diagnosis were evaluated using generalized estimating equation models with an independent correlation structure to account for multiple ROIs within each biopsy section. Results Collagen fiber density was positively associated with the proportion of stroma on the biopsy slide (p < 0.001) and with local percent mammographic density volume at both the biopsy target (p = 0.035) and within a 2 mm perilesional ring (p = 0.02), but not with global mammographic density measures. As severity of the breast biopsy diagnosis increased at the ROI level, collagen fibers tended to be less dense, shorter, straighter, thinner, and more aligned with one another (p < 0.05). Conclusions Collagen fiber density was positively associated with local, but not global, mammographic density, suggesting that collagen microarchitecture may not translate into macroscopic mammographic features. However, collagen fiber features may be markers of cancer risk and/or progression among women referred for biopsy based on abnormal breast imaging. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01482-z.
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Affiliation(s)
- Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
| | - Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Petra Lenz
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Pamela M Vacek
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Donald L Weaver
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Sally D Herschorn
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Jason M Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brian L Sprague
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Stephen Hewitt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | - Patricia J Keely
- Department of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA
| | - Kevin W Eliceiri
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Matthew W Conklin
- Department of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA.
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
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Sherman ME, Foulkes WD. BRCA1/2 and Endometrial Cancer Risk: Implications for Management. J Natl Cancer Inst 2021; 113:1127-1128. [PMID: 33710310 PMCID: PMC8418424 DOI: 10.1093/jnci/djab037] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 03/05/2021] [Indexed: 12/12/2022] Open
Affiliation(s)
- Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - William D Foulkes
- Department of Medicine, Human Genetics and Oncology, McGill University, Montreal, Quebec, Canada
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Degnim AC, Radisky DC, Vachon CM, Sherman ME. Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk-Letter. Cancer Epidemiol Biomarkers Prev 2021; 30:797. [PMID: 33811165 DOI: 10.1158/1055-9965.epi-20-1694] [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] [Received: 12/01/2020] [Revised: 01/06/2021] [Accepted: 01/11/2021] [Indexed: 11/16/2022] Open
Affiliation(s)
- Amy C Degnim
- Division of Breast and Melanoma Surgical Oncology, Mayo Clinic, Rochester, Minnesota.
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida
| | | | - Mark E Sherman
- Department of Health Science Research, Mayo Clinic, Jacksonville, Florida
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Affiliation(s)
- Ashley S Felix
- The Ohio State University, Division of Epidemiology, College of Public Health, 1841 Neil Avenue, 346 Cunz Hall, Columbus, OH 43210, USA.
| | - Mark E Sherman
- Mayo Clinic, Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
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Winham SJ, Wang C, Heinzen EP, Bhagwate A, Liu Y, McDonough SJ, Stallings-Mann ML, Frost MH, Vierkant RA, Denison LA, Carter JM, Sherman ME, Radisky DC, Degnim AC, Cunningham JM. Somatic mutations in benign breast disease tissues and association with breast cancer risk. BMC Med Genomics 2021; 14:185. [PMID: 34261476 PMCID: PMC8278587 DOI: 10.1186/s12920-021-01032-8] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 07/06/2021] [Indexed: 11/18/2022] Open
Abstract
Background Benign breast disease (BBD) is a risk factor for breast cancer (BC); however, little is known about the genetic alterations present at the time of BBD diagnosis and how these relate to risk of incident BC. Methods A subset of a long-term BBD cohort was selected to examine DNA variation across three BBD groups (42 future estrogen receptor-positive (ER+) BC, 36 future estrogen receptor-negative (ER−) BC, and 42 controls cancer-free for at least 16 years post-BBD). DNA extracted from archival formalin fixed, paraffin-embedded (FFPE) tissue blocks was analyzed for presence of DNA alterations using a targeted panel of 93 BC-associated genes. To address artifacts frequently observed in FFPE tissues (e.g., C>T changes), we applied three filtering strategies based on alternative allele frequencies and nucleotide substitution context. Gene-level associations were performed using two types of burden tests and adjusted for clinical and technical covariates. Results After filtering, the variant frequency of SNPs in our sample was highly consistent with population allele frequencies reported in 1 KG/ExAC (0.986, p < 1e−16). The top ten genes found to be nominally associated with later cancer status by four of 12 association methods(p < 0.05) were MED12, MSH2, BRIP1, PMS1, GATA3, MUC16, FAM175A, EXT2, MLH1 and TGFB1, although these were not statistically significant in permutation testing. However, all 10 gene-level associations had OR < 1 with lower mutation burden in controls compared to cases, which was marginally statistically significant in permutation testing (p = 0.04). Comparing between the three case groups, BBD ER+ cases were closer to controls in mutation profile, while BBD ER− cases were distinct. Notably, the variant burden was significantly higher in controls than in either ER+ or ER− cases. CD45 expression was associated with mutational burden (p < 0.001). Conclusions Somatic mutations were more frequent in benign breast tissue from women who did not develop cancer, opening questions of clonal diversity or immune-mediated restraint on future cancer development. CD45 expression was positively associated with mutational burden, most strongly in controls. Further studies in both normal and premalignant tissues are needed to better understand the role of somatic gene mutations and their contribution to future cancer development. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-01032-8.
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Affiliation(s)
- Stacey J Winham
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Chen Wang
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ethan P Heinzen
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Aditya Bhagwate
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Yuanhang Liu
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Samantha J McDonough
- Medical Genome Facility, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Marlene H Frost
- Women's Cancer Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Robert A Vierkant
- Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Lori A Denison
- Information Technology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jodi M Carter
- Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mark E Sherman
- Epidemiology and Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
| | - Derek C Radisky
- Cancer Biology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
| | - Amy C Degnim
- Breast, Endocrine, Metabolic and GI Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Julie M Cunningham
- Experimental Pathology and Laboratory Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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Winham SJ, Cunningham JM, Liu Y, Bhagwate AV, Heinzen EP, McDonough SJ, Stallings-Mann ML, Vierkant RA, Carter JM, Sherman ME, Radisky DC, Degnim AC, Wang C. Abstract 2274: Somatic variant burdenin benign breast disease and association with risk of subsequent breast cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-2274] [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
Benign breast disease (BBD) is an established risk factor for development of breast cancer (BC). However, little is known about the prevalence of somatic genetic alterations at the time of BBD diagnosis and relationship to subsequent BC. To characterize DNA variants in BBD and investigate association with BC risk, we isolated DNA from formalin-fixed paraffin-embedded (FFPE) BBD biopsies and assessed mutations using a panel of 93 breast cancer predisposition genes (Qiagen GeneRead). The study set consisted of 120 BBD patients from three age-matched groups defined based on 16 years of BC follow-up: BBD-controls (cancer-free after 16 years), BBD-ER+, or BBD-ER- breast cancer (within 16 years). Bioinformatics quality checks included comparisons of paired fresh-frozen and FFPE replicates to reduce false variant calls induced by FFPE artifacts. Gene-level variant burden differences among study groups were assessed using 12 statistical approaches, adjusted for patient age, year of biopsy, and histology. To investigate possible immune implications of increased variant burden, extent of leukocytes in the BBD biopsies was assessed using CD45 immunohistochemistry. To assess variant profile changes during the progression from BBD to BC, we also performed targeted sequencing of 12 BBD-matched subsequent tumor samples (six ER+ and six ER-) developed within 5 years of BBD diagnosis. Gene-level association results showed consistently skewed distributions suggesting a higher variant burden in BBD controls: among the top 10 genes associated with case-status (p<0.05), all had BC-risk odds ratio estimates less than 1.0. Immune infiltrates, assessed by CD45 H-scores, were positively associated with overall variant burden (r=0.42, p=0.0031), and noticeably higher in cancer-free controls (r=0.50, p=0.005). Comparison of mutation variants in 12 BBD cases that developed cancer within 5 years of diagnosis and their subsequent tumors revealed that more than half of the non-SNP variants were shared between the BBD and the subsequent tumor (54.6%), whereas less than one quarter were unique to the tumor (20.6%) or unique to the BBD (24.9%). Through BBD-BC paired variant analysis, three subjects were found with newly emergent clones uniquely appearing in the tumors and four subjects had loss of clones in the tumor that were present in the BBD. These results show that somatic variant burden is lower in patients with BBD that progress to BC, mutation profiles of BC progression are heterogeneous, and BBD tissues with reduced variant burden also show reduced immune infiltrate. This implicates a potential protective role for immune activation in BBD. Future directions will define the characteristics of the potentially protective immune response and its role in variant heterogeneity in a larger sample set, integrated with paired RNA sequencing to better understand the pathways involved and the relationship to immune infiltration.
Citation Format: Stacey J. Winham, Julie M. Cunningham, Yuanhang Liu, Aditya V. Bhagwate, Ethan P. Heinzen, Samantha J. McDonough, Melody L. Stallings-Mann, Robert A. Vierkant, Jodi M. Carter, Mark E. Sherman, Derek C. Radisky, Amy C. Degnim, Chen Wang. Somatic variant burdenin benign breast disease and association with risk of subsequent breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2274.
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Walens A, Olsson LT, Gao X, Hamilton AM, Kirk EL, Cohen SM, Midkiff BR, Xia Y, Sherman ME, Nikolaishvili-Feinberg N, Serody JS, Hoadley KA, Troester MA, Calhoun BC. Protein-based immune profiles of basal-like vs. luminal breast cancers. J Transl Med 2021; 101:785-793. [PMID: 33623115 PMCID: PMC8140991 DOI: 10.1038/s41374-020-00506-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/05/2020] [Accepted: 10/06/2020] [Indexed: 01/28/2023] Open
Abstract
Tumor-infiltrating lymphocytes play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest in formalin-fixed paraffin embedded tissue sections. Forty-four antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with regulatory T-cell (Treg) markers (CD4, CD25, and FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n = 75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with breast cancer subtype, suggesting possible prognostic, or targetable differences.
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Affiliation(s)
- Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Xiaohua Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Erin L Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Stephanie M Cohen
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Translational Pathology Laboratory, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Bentley R Midkiff
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Translational Pathology Laboratory, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Yongjuan Xia
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Translational Pathology Laboratory, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Mark E Sherman
- Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Nana Nikolaishvili-Feinberg
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Translational Pathology Laboratory, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Jonathan S Serody
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Division of Hematology, Department of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Melissa A Troester
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA.
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
| | - Benjamin C Calhoun
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
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Bakkum-Gamez JN, Graham RP, Broderick BT, Slettedahl S, Mahoney DW, Lemens M, Cao X, Foote PH, Burger K, Berger CK, O'Connell M, Doering KA, Schoolmeester JK, Kerr S, Taylor WR, Sherman ME, Kisiel JB. Discovery and validation of novel methylated DNA markers of cervical cancer. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.5526] [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: 11/20/2022] Open
Abstract
5526 Background: HR-HPV DNA testing, with or without cervical cytology, provides excellent sensitivity for detection of cervical cancer (CC) and its precursors; negative test results indicate that risk of disease is extremely low and enable women to undergo reduced screening with safety. However, management of women who screen positive remains challenging as many will prove to have self-limited HR-HPV infections. DNA methylation is an early event in carcinogenesis that could enhance CC screening specificity. Methods: For discovery, DNA from 70 FFPE CC (36 squamous, 34 adenocarcinoma) tissues that were reviewed microscopically, 18 fresh frozen benign cervicovaginal (BCV) tissues collected at the time of benign hysterectomy, and 18 buffy coats from cancer-free women underwent reduced representation bisulfite sequencing (RRBS) to identify MDMs associated with CC. Candidate MDM selection was based on area under the receiver operating characteristic curve (AUC) discrimination, methylation fold change, and low background methylation among benign controls. Candidate MDMs were re-tested using methylation-specific PCR (MSP) to confirm performance. Blinded biological validation was performed using MSP on DNA extracted from independent FFPE CC (38 squamous, 43 adenocarcinoma) and BCV (40) tissues. The performance of CC MDMs was also tested in DNA extracted from cervical dysplasia (36 adenocarcinoma in situ (AIS), 32 cervical intraepithelial neoplasia (CIN) 2/3, 11 CIN 1) FFPE tissues. Results: From RRBS discovery and technical validation via MSP, 30 candidate MDMs showed marked methylation fold changes (10 to >1000) across both CC histologies compared to BCV tissue from cancer-free women. Each of the 30 MDMs highly discriminated CC from BCV tissue with 9 MDMs having an AUC >0.90 (Table). CC MDMs also highly discriminated AIS from BCV but did not perform well in CIN 2/3 and CIN 1 (Table). Conclusions: Whole methylome sequencing, stringent filtering criteria, and biological validation have yielded outstanding candidate MDMs for CC that highly discriminate CC from BCV, notably with high specificity. Performance in cervical dysplasias varied with higher positivity rates in AIS than in CIN 2/3 and CIN 1. Translation to testing these novel MDMs in lower genital tract biospecimens and the addition of HR-HPV to the CC panel are warranted.[Table: see text]
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Sarah Kerr
- Hospital Pathology Associates, Minneapolis, MN
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Bagaria M, Wentzensen N, Clarke M, Hopkins MR, Ahlberg LJ, Mc Guire LJ, Lemens MA, Weaver AL, VanOosten A, Shields E, Laughlin-Tommaso SK, Sherman ME, Bakkum-Gamez JN. Quantifying procedural pain associated with office gynecologic tract sampling methods. Gynecol Oncol 2021; 162:128-133. [PMID: 33958213 DOI: 10.1016/j.ygyno.2021.04.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/26/2020] [Accepted: 04/25/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Emerging technologies may enable detection of endometrial cancer with methods that are less invasive than standard biopsy methods. This study compares patient pain scores among 3 office gynecologic tract sampling methods and explores their potential determinants. METHODS A prospective study including 3 sampling methods (tampon, Tao brush (TB), endometrial biopsy (EB)) was conducted between December 2015 and August 2017 and included women ≥45 years of age presenting with abnormal uterine bleeding, postmenopausal bleeding, or thickened endometrial stripe. Patients rated pain after each sampling procedure using a 100-point visual analog scale (VAS). RESULTS Of 428 enrolled, 190 (44.39%) patients underwent all 3 sampling methods and reported a VAS score for each. Nearly half were postmenopausal (n = 93, 48.9%); the majority were parous (172, 90.5%) of which 87.8% had at least one vaginal delivery. Among the 190 patients, the median (IQR) pain score was significantly lower for sampling via tampon (0 [0,2]) compared to TB (28 [12, 52]) or EB (32 [15, 60]) (both p < 0.001, Wilcoxon signed rank test). Among women who underwent tampon sampling, age and pain scores showed a weak positive correlation (Spearman rank correlation, r = 0.14; p = 0.006); EB sampling was associated with a weak inverse correlation between parity and pain scores (r = -0.14; p = 0.016). CONCLUSION Gynecologic tract sampling using a tampon had significantly lower pain than both EB and TB. Pain with tampon sampling was positively correlated with age and pain with EB sampling was inversely correlated with parity. Pain scores for TB and EB were not significantly related to age, menopausal status, or BMI.
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Affiliation(s)
- Madhu Bagaria
- Department of Obstetrics and Gynecology, Mayo Clinic Health System, Austin, MN, United States of America
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Megan Clarke
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Matthew R Hopkins
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Lisa J Ahlberg
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Lois J Mc Guire
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Maureen A Lemens
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Amy L Weaver
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Ann VanOosten
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Emily Shields
- Department of Obstetrics and Gynecology, Mayo Clinic Health System, Austin, MN, United States of America
| | | | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, United States of America
| | - Jamie N Bakkum-Gamez
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America.
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Najor AJ, Dao D, Bakkum-Gamez JN, Sherman ME, Connor AE, Destephano CC. Disparities and interventions in the timeliness of endometrial cancer diagnosis and treatment in the United States: a scoping review protocol. Syst Rev 2021; 10:107. [PMID: 33845907 PMCID: PMC8042979 DOI: 10.1186/s13643-021-01649-x] [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] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 03/26/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Disparities in the stage at diagnosis of endometrial cancer (EC) account for a significant proportion of the disparities in morbidity and mortality experienced by vulnerable groups in the USA. Evidence suggests that disparities in timeliness of care and treatment play a significant role in stage at diagnosis. Despite an increase in literature on EC disparities, the issue remains largely unchanged. The objectives of this review will be to synthesize the evidence to identify important remaining research questions and inform future interventions to reduce the disparity in stage at diagnosis of EC in the USA. METHODS This scoping review protocol will use the five-step framework developed by Arksey and O'Malley. A literature search will be conducted from January 2000 onwards in PubMed, EMBASE, Scopus, and Cochrane CENTRAL databases. Studies on delays in care of EC will be included if they were published in English and reported findings for the US population. Two reviewers will independently screen all citations, full-text articles, and abstract data. The study methodological quality and bias will be appraised using appropriate tools. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods. The literature search, data extraction, and evidence synthesis will be informed by the Pathway to Treatment Model, which divides time to cancer care initiation into appraisal, help-seeking, diagnostic, and pre-treatment intervals. Results will be reported in accordance with the PRISMA statement. DISCUSSION EC disparities research is currently benefitting form a growing expectation that studies have a real impact on disparities. Patient, healthcare, and disease factors impact the amount of time patients spend in different intervals of the Pathway to Treatment Model, so research and interventions aimed at reducing disparities in EC survival should be designed with cognizance to how these factors impact their target population. Reviews on disparities in stage at diagnosis of EC exist but do not provide a comprehensive picture of the pathway to treatment. This review will seek to provide an expanded bedrock of evidence for future studies to build on as they aim to more actively reduce EC disparities. TRIAL REGISTRATION Open Science Framework ( osf.io/v2zxy ).
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Affiliation(s)
- Anna J Najor
- Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
| | - Dyda Dao
- Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | | | - Mark E Sherman
- Department of Health Sciences Research, Jacksonville, FL, USA
| | - Avonne E Connor
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Merritt MA, Strickler HD, Hutson AD, Einstein MH, Rohan TE, Xue X, Sherman ME, Brinton LA, Yu H, Miller DS, Ramirez NC, Lankes HA, Birrer MJ, Huang GS, Gunter MJ. Sex Hormones, Insulin, and Insulin-like Growth Factors in Recurrence of High-Stage Endometrial Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:719-726. [PMID: 33622671 PMCID: PMC8026669 DOI: 10.1158/1055-9965.epi-20-1613] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 11/10/2020] [Revised: 12/18/2020] [Accepted: 02/01/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The influence of sex hormone and insulin/insulin-like growth factor (IGF) axis signaling on endometrial cancer recurrence is unknown. We evaluated these pathways in a prospective cohort of Gynecologic Oncology Group (GOG)0210 trial endometrial adenocarcinoma patients. METHODS Stage II-IV patients (N = 816) were included in this study. Pretreatment specimens were tested for tumor mRNA and protein expression of IGF1, IGF2, IGF-binding proteins (IGFBP)-1 and -3, insulin (IR) and IGF-I receptors (IGF1R), phosphorylated IR/IGF1R (pIGF1R/pIR), and estrogen (ER) and progesterone receptors (PR) using qPCR and IHC. Serum concentrations of insulin, IGF-I, IGFBP-3, estradiol, estrone, and sex hormone binding globulin were measured. HRs and 95% confidence intervals (CI) for progression-free survival were calculated from Cox models adjusting for age, stage, and grade. RESULTS Recurrence occurred in 280 (34%) cases during a median of 4.6 years of follow-up. ER positivity (HR, 0.67; 95% CI, 0.47-0.95), IR positivity (HR, 0.53; 95% CI, 0.29-0.98), and circulating IGF-I (highest vs. lowest quartile: HR, 0.66; 95% CI, 0.47-0.92) were inversely associated with recurrence risk. Circulating estradiol (highest vs. lowest tertile: HR, 1.55; 95% CI, 1.02-2.36) and pIGF1R/pIR positivity (HR, 1.40; 95% CI, 1.02-1.92) were associated with increased recurrence risk. CONCLUSIONS Circulating estradiol and tumor tissue phosphorylated (activated) IGR1R/IR were independently associated with higher risk of recurrence in patients with endometrial cancer. IMPACT This study may inform future clinical trials of endocrine-targeted adjuvant therapies in patients with endometrial cancer that could include baseline assessment of serum and tissue biomarkers of estradiol and insulin signaling pathways.
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Affiliation(s)
- Melissa A Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Howard D Strickler
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, Bronx, New York
| | - Alan D Hutson
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Mark H Einstein
- Department of Obstetrics, Gynecology & Women's Health, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, Bronx, New York
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, Bronx, New York
| | | | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - David S Miller
- Department of Obstetrics & Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Heather A Lankes
- NRG Oncology/Operations Center-Philadelphia East, Philadelphia, Pennsylvania
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Michael J Birrer
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Gloria S Huang
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
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Degnim A, Ghosh K, Carter JM, Vierkant RA, Jensen MR, Winham SJ, Hoskin TL, Frost M, Allers TM, Gehling DL, Kern MJ, Pacheco-Spann LM, Vachon CM, Radisky DC, Visscher DW, Sherman ME. Abstract PS7-11: Benign breast disease: Temporal trends from 1967 to 2013. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-ps7-11] [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: Women with benign breast disease (BBD) are at increased risk of breast cancer (BC). Classic studies based on film-based mammographic screening and pathology diagnosis of surgical biopsies conducted in the 1980s established a hierarchy of increasing BC risk: non-proliferative (NP) BBD, proliferative BBD without atypia (PDWA) and atypical hyperplasia (AH). Given changes in epidemiological BC risk factors and introduction of percutaneous core needle biopsy (CNB) in mid-1990s, and later, digital mammography, we hypothesized that the patient characteristics and relative frequency of BBD diagnoses have changed over time. Accordingly, we performed a longitudinal analysis of the frequency of patient characteristics and BBD diagnoses in the Mayo BBD cohort.
Methods: Utilizing the Mayo Clinic Surgical and Pathology Indices, women ages 18 to 85 who had a BBD biopsy between 1/1/67 and 12/31/13 were identified. Breast pathologists reviewed biopsies masked to diagnoses of incident BC diagnosed in follow-up. Demographic characteristics and BC events were obtained by query of institutional data sources and participant surveys. Trends were evaluated for the following eras: 1: pre-mammogram (1967-1981), 2: pre-CNB (1982-1992), 3: CNB Transition (1993-2001), and 4: CNB (2002-2013). Demographics were formally compared across eras using chi-square tests for categorical variables and analyses of variance (ANOVAs) for continuous variables.
Results: From 1967-2013, the cohort includes 19,582 unique women with BBD. The frequency of CNB increased from eras 1-4: 0.04%, 0.6%, 51.3 %, and 88.9%, respectively. Mean age at BBD diagnosis was younger in era 1 (48.0 years) vs eras 2-4 (53.2, 52.0, and 51.8, respectively, p<0.001). The percentage of biopsies diagnosed as PDWA increased from era 1-4 (25.7%, 34.3%, 35.2%, 46.2%, p<0.001), as did the percentage with AH (2.4%, 5.1%, 8.6%, 12.3%, p<0.001). Over eras 1-4, the percentages of women with a strong family history of BC increased (9.9%, 12.7%, 17.1%, and 29.0%, p<0.001) as did mean BMI (24.8, 26.4, 27.4, and 28.6, p<0.001). With a median follow-up of 10.9 years, 1,719 breast cancers have developed, with increasing proportion of noninvasive (DCIS-only) disease across eras 1-4: 15.0%, 21.1%, 21.2%, and 33.2%, p< 0.001.
Conclusions: Analysis of this large, single institution BBD cohort for the 46 year period 1967-2013 demonstrates that BC risk factors among BBD patients has changed over time, with subjects demonstrating increasing age, BMI, and family history, and that the percentages of BBD classified as PDWA and AH have increased. Impact on BC risk will be further investigated.
Citation Format: Amy Degnim, Karthik Ghosh, Jodi M Carter, Robert A Vierkant, Matthew R Jensen, Stacey J Winham, Tanya L Hoskin, Marlene Frost, Teresa M Allers, Denise L Gehling, Mindy J Kern, Laura M Pacheco-Spann, Celine M Vachon, Derek C Radisky, Daniel W Visscher, Mark E Sherman. Benign breast disease: Temporal trends from 1967 to 2013 [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS7-11.
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Carter JM, Jensen MR, Vierkant RA, Winham SJ, Hoskin TL, Frost M, Ghosh K, Radisky DC, Degnim AC, Sherman ME. Abstract PD10-10: Epithelial proliferation score as an independent breast cancer risk predictor in benign breast disease. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd10-10] [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: Women with benign breast disease (BBD) experience an increased risk of breast cancer (BC). Histologic classification of BBD, as non-proliferative disease (NP), proliferative disease without atypia (PDWA) or atypical hyperplasia (AH), stratifies groups of patients into progressively higher categories of BC risk. However, this classification does not comprehensively assess the proliferative state of the epithelium throughout the biopsy. In addition, while AH is considered the most high-risk class of BBD, it is not always a highly proliferative lesion; atypical ductal lesions may reflect focal cytologic and architectural changes. We evaluated the association of an alternative classification of BBD severity and BC risk based on subjective grading of: 1) the maximal degree of epithelial proliferation and 2) multifocality of epithelial proliferation. Methods: Pathologists reviewed biopsies from participants aged 18 to 85 years in the Mayo BBD cohort (2002-2013), masked to BC outcomes, ascertained via questionnaires, tumor registry data and medical record review. Biopsies were classified as NP, PDWA or AH and semi-quantitatively scored for: 1) maximal degree of epithelial proliferation within a focus (DP) (0-3; none to severe) and 2) multifocality of proliferation (MP) (0-3; none to multiple foci). DP and MP scores were also summed to give a DP+MP score (0-6). Associations of DP and MP with BC risk were examined using Cox proportional hazards regression analyses, adjusting for age at BBD biopsy. Women were followed from date of initial biopsy to date of BC, death or last follow-up. Results: Of the 1529 assessable biopsies, 544 (35.6%) were classified as NP, 708 (46.3%) as PDWA and 277 (18.1%) as AH. Both DP and MP scores had significant positive correlation with increasing BBD severity (DP: r=0.51, p< 0.001; MP: r=0.52, p< 0.001). Mean (SD) DP scores were 0.6 (0.6) for NP, 1.6 (0.9) for PDWA, and 1.8 (0.7) for AH (ANOVA p<0.001). Mean (SD) for MP scores were 0.6 (0.6) for NP, 1.4 (0.8) for PDWA, and 1.8 (0.8) for AH (ANOVA p<0.001). Mean (SD) for DP+MP scores were 1.2 (1.2) for NP, 2.9 (1.5) for PDWA, and 3.6 (1.2) for AH (ANOVA p<0.001). With median follow-up of 8.8 years for controls and 5.3 years for cases, 10.6% of the women in the cohort developed BC. Compared to those with DP scores of 0, women with DP scores of 3 had significantly increased BC risk (HR 1.42, 95% CI: 1.16, 1.74, p=0.003). MP was associated with a non-significant increase in BC risk for scores of 3 versus 0 (HR: 1.20, 95% CI: 0.97,1.49, p=0.11). DP+MP scores of 6 conferred the highest BC risk (HR (score 6 vs. 0): 1.62, 95% CI 1.18,2.21, p=0.02). Results did not substantively differ after adjusting for BBD severity as NP, PDWA or AH. Conclusions: In this preliminary analysis within the Mayo BBD cohort, both proliferative degree (DP) and multifocality (MP) scores were correlated with histologic severity of BBD. DP and DP+MP scores were each associated with increased BC risk. We conclude that improved characterization of epithelial proliferation in BBD biopsies may enable refined prediction of individual BC risk.
Citation Format: Jodi M Carter, Matthew R Jensen, Robert A Vierkant, Stacey J Winham, Tanya L Hoskin, Marlene Frost, Karthik Ghosh, Derek C Radisky, Amy C Degnim, Mark E Sherman. Epithelial proliferation score as an independent breast cancer risk predictor in benign breast disease [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD10-10.
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Bosquet JG, Zhang Q, Cliby WA, Bakkum-Gamez JN, Cen L, Dowdy SC, Sherman ME, Weroha SJ, Clayton AC, Kipp BR, Halling KC, Couch FJ, Podratz KC. Association of a novel endometrial cancer biomarker panel with prognostic risk, platinum insensitivity, and targetable therapeutic options. PLoS One 2021; 16:e0245664. [PMID: 33503056 PMCID: PMC7840025 DOI: 10.1371/journal.pone.0245664] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 01/05/2021] [Indexed: 01/15/2023] Open
Abstract
During the past decade, the age-adjusted mortality rate for endometrial cancer (EC) increased 1.9% annually with TP53 mutant (TP53-mu) EC disproportionally represented in advanced disease and deaths. Therefore, we aimed to assess pivotal molecular parameters that differentiate clinical outcomes in high- and low-risk EC. Using the Cancer Genome Atlas, we analyzed EC specimens with available DNA sequences and quantitative gene-specific RNA expression data. After polymerase ɛ (POLE)-mutant specimens were excluded, differential gene-specific mutations and mRNA expressions were annotated and integrated. Consequent to TP53-mu failure to induce p21, derepression of multiple oncogenes harboring promoter p21 repressive sites was observed, including CCNA2 and FOXM1 (P < .001 compared with TP53 wild type [TP53-wt]). TP53-wt EC with high CCNA2 expression (CCNA2-H) had a targeted transcriptomic profile similar to that of TP53-mu EC, suggesting CCNA2 is a seminal determinant for both TP53-wt and TP53-mu EC. CCNA2 enhances E2F1 function, upregulating FOXM1 and CIP2A, as observed in TP53-mu and CCNA2-H TP53-wt EC (P < .001). CIP2A inhibits protein phosphatase 2A, leading to AKT inactivation of GSK3β and restricted oncoprotein degradation; PPP2R1A and FBXW7 mutations yield similar results. Upregulation of FOXM1 and failed degradation of FOXM1 is evidenced by marked upregulation of multiple homologous recombination genes (P < .001). Integrating these molecular aberrations generated a molecular biomarker panel with significant prognostic discrimination (P = 5.8×10−7); adjusting for age, histology, grade, myometrial invasion, TP53 status, and stage, only CCNA2-H/E2F1-H (P = .0003), FBXW7-mu/PPP2R1A-mu (P = .0002), and stage (P = .017) were significant. The generated prognostic molecular classification system identifies dissimilar signaling aberrations potentially amenable to targetable therapeutic options.
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Affiliation(s)
- Jesus Gonzalez Bosquet
- Department of Obstetrics and Gynecology, University of Iowa, Iowa City, Iowa, United States of America
| | - Qing Zhang
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - William A. Cliby
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jamie N. Bakkum-Gamez
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Ling Cen
- Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Sean C. Dowdy
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Mark E. Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, United States of America
| | - S. John Weroha
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Amy C. Clayton
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Benjamin R. Kipp
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kevin C. Halling
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Karl C. Podratz
- Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
- * E-mail:
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Gaudet MM, Deubler E, Diver WR, Puvanesarajah S, Patel AV, Gansler T, Sherman ME, Gapstur SM. Breast cancer risk factors by mode of detection among screened women in the Cancer Prevention Study-II. Breast Cancer Res Treat 2021; 186:791-805. [PMID: 33398477 DOI: 10.1007/s10549-020-06025-2] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 11/16/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Identifying risk factors for women at high risk of symptom-detected breast cancers that were missed by screening would enable targeting of enhanced screening regimens. To this end, we examined associations of breast cancer risk factors by mode of detection in screened women from the Cancer Prevention Study (CPS)-II Nutrition Cohort. METHODS Among 77,206 women followed for a median of 14.8 years, 2711 screen-detected and 1281 symptom-detected breast cancer cases were diagnosed. Multivariable-adjusted associations were estimated using joint Cox proportional hazards regression models with person-time calculated contingent on screening. RESULTS Factors associated with higher risks of symptom-detected and screen-detected breast cancer included current combined hormone therapy (HT) use (HR 2.07, 95% CI 1.72-2.48 and 1.45, 1.27-1.65, respectively) and history of benign breast disease (1.85, 1.64-2.08 and 1.43, 1.31-1.55, respectively). Current estrogen-only HT use was associated with symptom-detected (1.40, 1.15-1.71) but not screen-detected (0.95, 0.83-1.09) breast cancer. Higher risk of screen-detected but not symptom-detected breast cancer was observed for obese vs. normal body mass index (1.22, 1.01-1.48 and 0.76, 0.56-1.01, respectively), per 3 h/day sitting time (1.10, 1.04-1.16 and 0.97, 0.89-1.06, respectively), and ≥ 2 drinks per day vs. nondrinker (1.40, 1.16-1.69 and 1.27, 0.97-1.66, respectively). CONCLUSIONS Differences in risk factors for symptom-detected vs. screen-detected breast cancer were observed and most notably, use of combined and estrogen-only HT and a history of benign breast disease were associated with increased risk of symptomatic detected breast cancer. IMPACT If confirmed, these data suggest that such women may benefit from more intensive screening to facilitate early detection.
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Affiliation(s)
- Mia M Gaudet
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA.
| | - Emily Deubler
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - W Ryan Diver
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Samantha Puvanesarajah
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Alpa V Patel
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Ted Gansler
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Mark E Sherman
- Departments of Epidemiology and of Laboratory Medicine and Pathology, Mayo Clinical College of Medicine, Jacksonville, FL, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
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Walens A, Olsson LT, Gao X, Hamilton AM, Kirk EL, Cohen SM, Midkiff BR, Xia Y, Sherman ME, Nikolaishvili-Feinberg N, Hoadley KA, Troester MA, Calhoun BC. Abstract PO-090: Protein-based immune profiles of basal-like vs luminal breast cancers. Cancer Res 2020. [DOI: 10.1158/1538-7445.tumhet2020-po-090] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Tumor infiltrating lymphocytes (TILs) play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. Methods: To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling (DSP) of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest (ROIs) in formalin-fixed paraffin embedded tissue sections. 44 antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. Results: In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with Regulatory T cell (Treg) markers (CD4, CD25, FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n=75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. Conclusion: This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with BC subtype, suggesting possible prognostic or targetable differences.
Citation Format: Andrea Walens, Linnea T. Olsson, Xiaohua Gao, Alina M. Hamilton, Erin L. Kirk, Stephanie M. Cohen, Bentley R. Midkiff, Yongjuan Xia, Mark E. Sherman, Nana Nikolaishvili-Feinberg, Katherine A. Hoadley, Melissa A. Troester, Benjamin C. Calhoun. Protein-based immune profiles of basal-like vs luminal breast cancers [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-090.
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Affiliation(s)
- Andrea Walens
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | | | - Xiaohua Gao
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | | | - Erin L. Kirk
- 2University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | | | - Bentley R. Midkiff
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | - Yongjuan Xia
- 2University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | | | | | - Katherine A. Hoadley
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | - Melissa A. Troester
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
| | - Benjamin C. Calhoun
- 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC,
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Hurson AN, Hamilton A, Olsson LT, Kirk EL, Calhoun BC, Geradts J, Sherman ME, Troester MA. Abstract PO-068: Intratumoral heterogeneity of prognostic multigene signatures for breast cancer. Cancer Res 2020. [DOI: 10.1158/1538-7445.tumhet2020-po-068] [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 Multigene assays for breast cancer are becoming more commonly used for research, diagnostic, and treatment-selection purposes. These assays are commonly based on a single tumor sample, so this study assesses whether clinically-relevant multigene scores are subject to misclassification due to technical variation or intratumoral heterogeneity. Methods Using FFPE blocks, tumors from 37 patients were sampled at different pathologist-selected spatial locations, targeting regions with distinct histological appearance. A second pathologist assessed mitotic activity and presence of immune infiltration for each specimen. Gene expression was quantified using the PAM50 assay. Samples were classified with respect to intrinsic subtype (Luminal A, Luminal B, HER2-enriched, or Basal-like) and risk of recurrence with proliferation score (ROR-P, high vs. med/low). Euclidean distances between samples were calculated across the 50 genes, and the distribution of Euclidean distances were compared for samples that were concordant vs. discordant for each multigene classifier for PAM50 or ROR-P. Results Of the 37 tumors, 11 had samples with discordant PAM50 subtype and 7 had samples with discordant ROR-P group (75% and 83% agreement, respectively). The Euclidean distance between paired samples with discordant PAM50 intrinsic subtype or ROR-P score was significantly greater than that among concordant tumors. Samples discordant for ROR-P had more heterogeneity in histological characteristics, while discordance of PAM50 subtype call was generally not predicted by heterogeneity of these histological characteristics. Conclusion The concordance of PAM50 subtype calls and ROR-P, despite oversampling of heterogenous-appearing tumor regions, demonstrates reproducibility of the PAM50 classifier for breast cancer tumor intrinsic subtyping. However, assay sampling strategies for histologically heterogeneous tumors merit further consideration.
Citation Format: Amber N. Hurson, Alina Hamilton, Linnea T. Olsson, Erin L. Kirk, Benjamin C. Calhoun, Joseph Geradts, Mark E. Sherman, Melissa A. Troester. Intratumoral heterogeneity of prognostic multigene signatures for breast cancer [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-068.
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