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Brandt C, Vo JB, Gierach GL, Cheng I, Torres VN, Lawrence WR, McCullough LE, Veiga LHS, Berrington de González A, Ramin C. Second primary cancer risks according to race and ethnicity among U.S. breast cancer survivors. Int J Cancer 2024. [PMID: 38685564 DOI: 10.1002/ijc.34971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/16/2024] [Accepted: 03/26/2024] [Indexed: 05/02/2024]
Abstract
Breast cancer survivors have an increased risk of developing second primary cancers, yet risks by race and ethnicity have not been comprehensively described. We evaluated second primary cancer risks among 717,335 women diagnosed with first primary breast cancer (aged 20-84 years and survived ≥1-year) in the SEER registries using standardized incidence ratios (SIRs; observed/expected). SIRs were estimated by race and ethnicity compared with the racial- and ethnic-matched general population, and further stratified by clinical characteristics of the index breast cancer. Poisson regression was used to test for heterogeneity by race and ethnicity. SIRs for second primary cancer differed by race and ethnicity with the highest risks observed among non-Hispanic/Latina Asian American, Native Hawaiian, or other Pacific Islander (AANHPI), non-Hispanic/Latina Black (Black), and Hispanic/Latina (Latina) survivors and attenuated risk among non-Hispanic/Latina White (White) survivors (SIRAANHPI = 1.49, 95% CI = 1.44-1.54; SIRBlack = 1.41, 95% CI = 1.37-1.45; SIRLatina = 1.45, 95% CI = 1.41-1.49; SIRWhite = 1.09, 95% CI = 1.08-1.10; p-heterogeneity<.001). SIRs were particularly elevated among AANHPI, Black, and Latina survivors diagnosed with an index breast cancer before age 50 (SIRs range = 1.88-2.19) or with estrogen receptor-negative tumors (SIRs range = 1.60-1.94). Heterogeneity by race and ethnicity was observed for 16/27 site-specific second cancers (all p-heterogeneity's < .05) with markedly elevated risks among AANHPI, Black, and Latina survivors for acute myeloid and acute non-lymphocytic leukemia (SIRs range = 2.68-3.15) and cancers of the contralateral breast (SIRs range = 2.60-3.01) and salivary gland (SIRs range = 2.03-3.96). We observed striking racial and ethnic differences in second cancer risk among breast cancer survivors. Additional research is needed to inform targeted approaches for early detection strategies and treatment to reduce these racial and ethnic disparities.
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Affiliation(s)
- Carolyn Brandt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jacqueline B Vo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
- Greater Bay Area Cancer Registry, University of California San Francisco, California, USA
| | - Vanessa N Torres
- Cancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Wayne R Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Lene H S Veiga
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Amy Berrington de González
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Cody Ramin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Cancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, California, USA
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2
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Haas CB, Chen H, Harrison T, Fan S, Gago-Dominguez M, Castelao JE, Bolla MK, Wang Q, Dennis J, Michailidou K, Dunning AM, Easton DF, Antoniou AC, Hall P, Czene K, Andrulis IL, Mulligan AM, Milne RL, Fasching PA, Haeberle L, Garcia-Closas M, Ahearn T, Gierach GL, Haiman C, Maskarinec G, Couch FJ, Olson JE, John EM, Chenevix-Trench G, de Gonzalez AB, Jones M, Stone J, Murphy R, Aronson KJ, Wernli KJ, Hsu L, Vachon C, Tamimi RM, Lindström S. Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization. Breast Cancer Res Treat 2024:10.1007/s10549-024-07306-w. [PMID: 38653906 DOI: 10.1007/s10549-024-07306-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE Mammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR). METHODS We applied two-sample MR approaches to assess the association between genetically predicted circulating concentrations of sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG)], BMI, and mammographic density phenotypes (dense and non-dense area). We created instrumental variables from large European ancestry-based genome-wide association studies and applied estimates to mammographic density phenotypes in up to 14,000 women of European ancestry. We performed analyses overall and by menopausal status. RESULTS Genetically predicted BMI was positively associated with non-dense area (IVW: β = 1.79; 95% CI = 1.58, 2.00; p = 9.57 × 10-63) and inversely associated with dense area (IVW: β = - 0.37; 95% CI = - 0.51,- 0.23; p = 4.7 × 10-7). We observed weak evidence for an association of circulating sex hormone concentrations with mammographic density phenotypes, specifically inverse associations between genetically predicted testosterone concentration and dense area (β = - 0.22; 95% CI = - 0.38, - 0.053; p = 0.009) and between genetically predicted estradiol concentration and non-dense area (β = - 3.32; 95% CI = - 5.83, - 0.82; p = 0.009), although results were not consistent across a range of MR approaches. CONCLUSION Our findings support a positive causal association between BMI and mammographic non-dense area and an inverse association between BMI and dense area. Evidence was weaker and inconsistent for a causal effect of circulating sex hormone concentrations on mammographic density phenotypes. Based on our findings, associations between circulating sex hormone concentrations and mammographic density phenotypes are weak at best.
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Affiliation(s)
- Cameron B Haas
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
| | - Hongjie Chen
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tabitha Harrison
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Manuela Gago-Dominguez
- Health Research Institute of Santiago de Compostela Foundation (FIDIS), SERGAS, Cancer Genetics and Epidemiology Group, Santiago, Spain
| | - Jose E Castelao
- Unidad de Oncología Genética, Instituto de Investigación Sanitaria, Galicia Sur, Vigo, Spain
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Canada
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Prevision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gertraud Maskarinec
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Esther M John
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Geogia Chenevix-Trench
- Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Michael Jones
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Jennifer Stone
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, The University of Melbourne, Melbourne, VIC, Australia
| | - Rachel Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
| | - Kristan J Aronson
- Division of Cancer Care and Epidemiology, Department of Community Health and Epidemiology, Queen's University, Kingston, ON, K7L3N6, Canada
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Celine Vachon
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
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Mullooly M, Fan S, Pfeiffer RM, Bowles EA, Duggan MA, Falk RT, Richert-Boe K, Glass AG, Kimes TM, Figueroa JD, Rohan TE, Abubakar M, Gierach GL. Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease. Breast Cancer Res 2024; 26:52. [PMID: 38532516 DOI: 10.1186/s13058-024-01764-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/06/2024] [Indexed: 03/28/2024] Open
Abstract
INTRODUCTION Benign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast cancer. It has been suggested that temporal changes in MBD may impact future invasive breast cancer risk, but this has not been studied among women with BBD. METHODS We undertook a nested case-control study within a cohort of 15,395 women with BBD in Kaiser Permanente Northwest (KPNW; 1970-2012, followed through mid-2015). Cases (n = 261) developed invasive breast cancer > 1 year after BBD diagnosis, whereas controls (n = 249) did not have breast cancer by the case diagnosis date. Cases and controls were individually matched on BBD diagnosis age and plan membership duration. Standardized %MBD change (per 2 years), categorized as stable/any increase (≥ 0%), minimal decrease of less than 5% or a decrease greater than or equal to 5%, was determined from baseline and follow-up mammograms. Associations between MBD change and breast cancer risk were examined using adjusted unconditional logistic regression. RESULTS Overall, 64.5% (n = 329) of BBD patients had non-proliferative and 35.5% (n = 181) had proliferative disease with/without atypia. Women with an MBD decrease (≤ - 5%) were less likely to develop breast cancer (Odds Ratio (OR) 0.64; 95% Confidence Interval (CI) 0.38, 1.07) compared with women with minimal decreases. Associations were stronger among women ≥ 50 years at BBD diagnosis (OR 0.48; 95% CI 0.25, 0.92) and with proliferative BBD (OR 0.32; 95% CI 0.11, 0.99). DISCUSSION Assessment of temporal MBD changes may inform risk monitoring among women with BBD, and strategies to actively reduce MBD may help decrease future breast cancer risk.
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Affiliation(s)
- Maeve Mullooly
- School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Erin Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Máire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Andrew G Glass
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Teresa M Kimes
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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4
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Habeshian TS, Peeri NC, De Vivo I, Schouten LJ, Shu XO, Cote ML, Bertrand KA, Chen Y, Clarke MA, Clendenen TV, Cook LS, Costas L, Dal Maso L, Freudenheim JL, Friedenreich CM, Gallagher G, Gierach GL, Goodman MT, Jordan SJ, La Vecchia C, Lacey JV, Levi F, Liao LM, Lipworth L, Lu L, Matías-Guiu X, Moysich KB, Mutter GL, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara TA, Onieva Hernández I, Palmer JR, Parazzini F, Patel AV, Penney KL, Prizment AE, Ricceri F, Risch HA, Sacerdote C, Sandin S, Stolzenberg-Solomon RZ, van den Brandt PA, Webb PM, Wentzensen N, Wijayabahu AT, Wilkens LR, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan VW. Hypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiol Biomarkers Prev 2024:742011. [PMID: 38530242 DOI: 10.1158/1055-9965.epi-23-1444] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/25/2024] [Accepted: 03/22/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND The incidence rates of endometrial cancer (EC) are increasing, which may partly be explained by the rising prevalence of obesity, an established risk factor for EC. Hypertension, another component of metabolic syndrome, is also increasing in prevalence, and emerging evidence suggests that it may be associated with the development of certain cancers. The role of hypertension independent of other components of metabolic syndrome in the etiology of EC remains unclear. In this study we evaluated hypertension as an independent risk factor for EC and whether this association is modified by other established risk factors. METHODS We included 15,631 EC cases and 42,239 controls matched on age, race, and study-specific factors from 29 studies in the Epidemiology of Endometrial Cancer Consortium. We used multivariable unconditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the association between hypertension and EC and whether this association differed by study design, race/ethnicity, body mass index, diabetes status, smoking status, or reproductive factors. RESULTS Hypertension was associated with an increased risk of EC (OR=1.14, 95% CI:1.09-1.19). There was significant heterogeneity by study design (Phet<0.01), with a stronger magnitude of association observed among case-control vs. cohort studies. Stronger associations were also noted for pre-/peri-menopausal women and never users of postmenopausal hormone therapy. CONCLUSIONS Hypertension is associated with EC risk independently from known risk factors. Future research should focus on biologic mechanisms underlying this association. IMPACT This study provides evidence that hypertension may be an independent risk factor for EC.
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Affiliation(s)
| | - Noah C Peeri
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Leo J Schouten
- Maastricht University Medical Centre, Maastricht, Netherlands
| | - Xiao-Ou Shu
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Michele L Cote
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, United States
| | | | - Yu Chen
- New York University School of Medicine, New York, United States
| | - Megan A Clarke
- National Cancer Institute, Rockville, Maryland, United States
| | - Tess V Clendenen
- New York University School of Medicine, New York, NY, United States
| | - Linda S Cook
- Colorado School of Public Health, Aurora, CO, United States
| | - Laura Costas
- Institut Català d'Oncologia, L'Hospitalet de Llobregat, Catalunya, Spain
| | | | - Jo L Freudenheim
- University at Buffalo, State University of New York, Buffalo, NY, United States
| | | | - Grace Gallagher
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Marc T Goodman
- Cedars-Sinai Medical Center, Los Angeles, California, United States
| | | | | | | | - Fabio Levi
- University of Lausanne, Lausanne, Switzerland
| | - Linda M Liao
- National Cancer Institute, Bethesda, MD, United States
| | | | - Lingeng Lu
- Yale University, New Haven, CT, United States
| | - Xavier Matías-Guiu
- Institut d'Investigació Biomédica de Bellvitge, Hospitalet de Llobregat, Barcelona, Barcelona, Spain
| | | | | | - Renhua Na
- QIMR Berghofer Medical Research Institute, BRISBANE, Australia
| | | | - Eva Negri
- University of Bologna, Bologna, Italy
| | - Kelli O'Connell
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Tracy A O'Mara
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | | | | | - Alpa V Patel
- American Cancer Society, Kennesaw, GA, United States
| | - Kathryn L Penney
- Brigham and Women's Hospital/Harvard Medical School, Boston, MA, United States
| | - Anna E Prizment
- University of Minnesota Medical School, Minneapolis, MN, United States
| | | | - Harvey A Risch
- Yale School of Public Health, New Haven, CT, United States
| | - Carlotta Sacerdote
- Azienda Ospedaliera Citta' della Salute e della Scienza di Torino, Turin, Italy
| | | | | | | | - Penelope M Webb
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | | | - Lynne R Wilkens
- University of Hawaii Cancer Center, Honolulu, HI, United States
| | | | - Herbert Yu
- University of Hawaii System, Honolulu, HI, United States
| | | | - Wei Zheng
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mengmeng Du
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
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5
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O’Grady TJ, Rinaldi S, Michels KA, Adami HO, Buring JE, Chen Y, Clendenen TV, D’Aloisio A, DeHart JC, Franceschi S, Freedman ND, Gierach GL, Giles GG, Lacey JV, Lee IM, Liao LM, Linet MS, McCullough ML, Patel AV, Prizment A, Robien K, Sandler DP, Stolzenberg-Solomon R, Weiderpass E, White E, Wolk A, Zheng W, Berrington de Gonzalez A, Kitahara CM. Association of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis. Int J Epidemiol 2024; 53:dyad172. [PMID: 38110618 PMCID: PMC10859160 DOI: 10.1093/ije/dyad172] [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: 01/21/2023] [Accepted: 12/02/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND The incidence of differentiated thyroid cancer (DTC) is higher in women than in men but whether sex steroid hormones contribute to this difference remains unclear. Studies of reproductive and hormonal factors and thyroid cancer risk have provided inconsistent results. METHODS Original data from 1 252 907 women in 16 cohorts in North America, Europe, Australia and Asia were combined to evaluate associations of DTC risk with reproductive and hormonal factors. Multivariable-adjusted Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS During follow-up, 2142 women were diagnosed with DTC. Factors associated with higher risk of DTC included younger age at menarche (<10 vs 10-11 years; HR, 1.28; 95% CI, 1.00-1.64), younger (<40; HR, 1.31; 95% CI, 1.05-1.62) and older (≥55; HR, 1.33; 95% CI, 1.05-1.68) ages at menopause (vs 40-44 years), ever use of menopausal hormone therapy (HR, 1.16; 95% CI, 1.02-1.33) and previous hysterectomy (HR, 1.25; 95% CI, 1.13-1.39) or bilateral oophorectomy (HR, 1.14; 95% CI, 1.00-1.29). Factors associated with lower risk included longer-term use (≥5 vs <5 years) of oral contraceptives (HR, 0.86; 95% CI, 0.76-0.96) among those who ever used oral contraception and baseline post-menopausal status (HR, 0.82; 95% CI, 0.70-0.96). No associations were observed for parity, duration of menopausal hormone therapy use or lifetime number of reproductive years or ovulatory cycles. CONCLUSIONS Our study provides some evidence linking reproductive and hormonal factors with risk of DTC. Results should be interpreted cautiously considering the modest strength of the associations and potential for exposure misclassification and detection bias. Prospective studies of pre-diagnostic circulating sex steroid hormone measurements and DTC risk may provide additional insight.
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Affiliation(s)
- Thomas J O’Grady
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Albany, NY, USA
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Kara A Michels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Hans-Olov Adami
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Julie E Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health and NYU Cancer Institute, NYU School of Medicine, New York, NY, USA
| | - Tess V Clendenen
- Division of Epidemiology, Department of Population Health and NYU Cancer Institute, NYU School of Medicine, New York, NY, USA
| | - Aimee D’Aloisio
- Social & Scientific Systems, DLH Holdings Corporation, Durham, NC, USA
| | - Jessica Clague DeHart
- School of Community and Global Health, Claremont Graduate University, Claremont, CA, USA
| | | | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - James V Lacey
- Division of Health Analytics Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Atlanta, GA, USA
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Martha S Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Anna Prizment
- Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Kim Robien
- Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | | | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- The Institute of Cancer Research, London, UK
| | - Cari M Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Vo JB, Gierach GL. Understanding disparities in the burden of mortality as a step towards health equity in the USA. Lancet 2023; 402:1022-1023. [PMID: 37544308 PMCID: PMC10680152 DOI: 10.1016/s0140-6736(23)01522-2] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 07/19/2023] [Indexed: 08/08/2023]
Affiliation(s)
- Jacqueline B Vo
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
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Abubakar M, Klein A, Fan S, Lawrence S, Mutreja K, Henry JE, Pfeiffer RM, Duggan MA, Gierach GL. Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast. Breast Cancer Res 2023; 25:97. [PMID: 37582731 PMCID: PMC10426057 DOI: 10.1186/s13058-023-01692-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/29/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND Emerging data indicate that variations in quantitative epithelial and stromal tissue composition and their relative abundance in benign breast biopsies independently impact risk of future invasive breast cancer. To gain further insights into breast cancer etiopathogenesis, we investigated associations between epidemiological factors and quantitative tissue composition metrics of the normal breast. METHODS The study participants were 4108 healthy women ages 18-75 years who voluntarily donated breast tissue to the US-based Susan G. Komen Tissue Bank (KTB; 2008-2019). Using high-accuracy machine learning algorithms, we quantified the percentage of epithelial, stromal, adipose, and fibroglandular tissue, as well as the proportion of fibroglandular tissue that is epithelium relative to stroma (i.e., epithelium-to-stroma proportion, ESP) on digitized hematoxylin and eosin (H&E)-stained normal breast biopsy specimens. Data on epidemiological factors were obtained from participants using a detailed questionnaire administered at the time of tissue donation. Associations between epidemiological factors and square root transformed tissue metrics were investigated using multivariable linear regression models. RESULTS With increasing age, the amount of stromal, epithelial, and fibroglandular tissue declined and adipose tissue increased, while that of ESP demonstrated a bimodal pattern. Several epidemiological factors were associated with individual tissue composition metrics, impacting ESP as a result. Compared with premenopausal women, postmenopausal women had lower ESP [β (95% Confidence Interval (CI)) = -0.28 (- 0.43, - 0.13); P < 0.001] with ESP peaks at 30-40 years and 60-70 years among pre- and postmenopausal women, respectively. Pregnancy [β (95%CI) vs nulligravid = 0.19 (0.08, 0.30); P < 0.001] and increasing number of live births (P-trend < 0.001) were positively associated with ESP, while breastfeeding was inversely associated with ESP [β (95%CI) vs no breastfeeding = -0.15 (- 0.29, - 0.01); P = 0.036]. A positive family history of breast cancer (FHBC) [β (95%CI) vs no FHBC = 0.14 (0.02-0.26); P = 0.02], being overweight or obese [β (95%CI) vs normal weight = 0.18 (0.06-0.30); P = 0.004 and 0.32 (0.21-0.44); P < 0.001, respectively], and Black race [β (95%CI) vs White = 0.12 (- 0.005, 0.25); P = 0.06] were positively associated with ESP. CONCLUSION Our findings revealed that cumulative exposure to etiological factors over the lifespan impacts normal breast tissue composition metrics, individually or jointly, to alter their dynamic equilibrium, with potential implications for breast cancer susceptibility and tumor etiologic heterogeneity.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA.
| | - Alyssa Klein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Scott Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Karun Mutreja
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Jill E Henry
- Biospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Maire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
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Bodelon C, Gierach GL, Hatch EE, Riseberg E, Hutchinson A, Yeager M, Sandler DP, Taylor JA, Hoover RN, Xu Z, Titus L, Palmer JR, Troisi R. In utero exposure to diethylstilbestrol and blood DNA methylation in adult women: Results from a meta-analysis of two cohort studies. Environ Res 2023; 231:115990. [PMID: 37149030 PMCID: PMC10442904 DOI: 10.1016/j.envres.2023.115990] [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] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/10/2023] [Accepted: 04/24/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Prenatal exposure to diethylstilbestrol (DES) is associated with several adverse health outcomes. Animal studies have shown associations between prenatal DES exposure and DNA methylation. OBJECTIVE The aim of this study was to explore blood DNA methylation in women exposed and unexposed to DES in utero. METHODS Sixty women (40 exposed and 20 unexposed) in the National Cancer Institute's Combined DES Cohort Study and 199 women (99 exposed and 100 unexposed women) in the Sister Study Cohort were included in this analysis. Within each study, robust linear regression models were used to assess associations between DES exposure and blood DNA methylation. Study-specific associations were combined using fixed-effect meta-analysis with inverse variance weights. Our analysis focused on CpG sites located within nine candidate genes identified in animal models. We further explored whether in utero DES exposure was associated with age acceleration. RESULTS Blood DNA methylation levels at 10 CpG sites in six of the nine candidate genes were statistically significantly associated with prenatal DES exposure (P < 0.05) in this meta-analysis. Genes included EGF, EMB, EGFR, WNT11, FOS, and TGFB1, which are related to cell proliferation and differentiation. The most statistically significant CpG site was cg19830739 in gene EGF, and it was associated with lower methylation levels in women prenatally exposed to DES compared with those not exposed (P < 0.0001; false discovery rate<0.05). The association between prenatal DES exposure in utero and age acceleration was not statistically significant (P = 0.07 for meta-analyzed results). CONCLUSIONS There are few opportunities to investigate the effects of prenatal DES exposure. These findings suggest that in utero DES exposure may be associated with differential blood DNA methylation levels, which could mediate the increased risk of several adverse health outcomes observed in exposed women. Our findings need further evaluation using larger data sets.
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Affiliation(s)
- Clara Bodelon
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, USA
| | - Emily Riseberg
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA; Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Robert N Hoover
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Linda Titus
- Public Health, Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Julie R Palmer
- Slone Epidemiology Center and Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - Rebecca Troisi
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Ish JL, Abubakar M, Fan S, Jones RR, Niehoff NM, Henry JE, Gierach GL, White AJ. Outdoor air pollution and histologic composition of normal breast tissue. Environ Int 2023; 176:107984. [PMID: 37224678 DOI: 10.1016/j.envint.2023.107984] [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] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/09/2023] [Accepted: 05/16/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Biologic pathways underlying the association between outdoor air pollution and breast cancer risk are poorly understood. Breast tissue composition may reflect cumulative exposure to breast cancer risk factors and has been associated with breast cancer risk among patients with benign breast disease. Herein, we evaluated whether fine particulate matter (PM2.5) was associated with the histologic composition of normal breast tissue. METHODS Machine-learning algorithms were applied to digitized hematoxylin and eosin-stained biopsies of normal breast tissue to quantify the epithelium, stroma, adipose and total tissue area from 3,977 individuals aged 18-75 years from a primarily Midwestern United States population who donated breast tissue samples to the Susan G. Komen Tissue Bank (2009-2019). Annual levels of PM2.5 were assigned to each woman's residential address based on year of tissue donation. We applied predictive k-means to assign participants to clusters with similar PM2.5 chemical composition and used linear regression to examine the cross-sectional associations between a 5-μg/m3 increase in PM2.5 and square root-transformed proportions of epithelium, stroma, adipose, and epithelium-to-stroma proportion [ESP], overall and by PM2.5 cluster. RESULTS Higher residential PM2.5 was associated with lower proportion of breast stromal tissue [β = -0.93, 95% confidence interval: (-1.52, -0.33)], but was not related to the proportion of epithelium [β = -0.11 (-0.34, 0.11)]. Although PM2.5 was not associated with ESP overall [β = 0.24 (-0.16, 0.64)], the association significantly differed by PM2.5 chemical composition (p-interaction = 0.04), with a positive association evident only among an urban, Midwestern cluster with higher concentrations of nitrate (NO3-) and ammonium (NH4+) [β = 0.49 (0.03, 0.95)]. CONCLUSIONS Our findings are consistent with a possible role of PM2.5 in breast cancer etiology and suggest that changes in breast tissue composition may be a potential pathway by which outdoor air pollution impacts breast cancer risk. This study further underscores the importance of considering heterogeneity in PM2.5 composition and its impact on breast carcinogenesis.
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Affiliation(s)
- Jennifer L Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
| | - Mustapha Abubakar
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Shaoqi Fan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
| | - Jill E Henry
- Biospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA.
| | - Gretchen L Gierach
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
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Ramin C, Veiga LHS, Vo JB, Curtis RE, Bodelon C, Aiello Bowles EJ, Buist DSM, Weinmann S, Feigelson HS, Gierach GL, Berrington de Gonzalez A. Risk of second primary cancer among women in the Kaiser Permanente Breast Cancer Survivors Cohort. Breast Cancer Res 2023; 25:50. [PMID: 37138341 PMCID: PMC10155401 DOI: 10.1186/s13058-023-01647-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 04/03/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Breast cancer survivors are living longer due to early detection and advances in treatment and are at increased risk for second primary cancers. Comprehensive evaluation of second cancer risk among patients treated in recent decades is lacking. METHODS We identified 16,004 females diagnosed with a first primary stage I-III breast cancer between 1990 and 2016 (followed through 2017) and survived ≥ 1 year at Kaiser Permanente (KP) Colorado, Northwest, and Washington. Second cancer was defined as an invasive primary cancer diagnosed ≥ 12 months after the first primary breast cancer. Second cancer risk was evaluated for all cancers (excluding ipsilateral breast cancer) using standardized incidence ratios (SIRs), and a competing risk approach for cumulative incidence and hazard ratios (HRs) adjusted for KP center, treatment, age, and year of first cancer diagnosis. RESULTS Over a median follow-up of 6.2 years, 1,562 women developed second cancer. Breast cancer survivors had a 70% higher risk of any cancer (95%CI = 1.62-1.79) and 45% higher risk of non-breast cancer (95%CI = 1.37-1.54) compared with the general population. SIRs were highest for malignancies of the peritoneum (SIR = 3.44, 95%CI = 1.65-6.33), soft tissue (SIR = 3.32, 95%CI = 2.51-4.30), contralateral breast (SIR = 3.10, 95%CI = 2.82-3.40), and acute myeloid leukemia (SIR = 2.11, 95%CI = 1.18-3.48)/myelodysplastic syndrome (SIR = 3.25, 95%CI = 1.89-5.20). Women also had elevated risks for oral, colon, pancreas, lung, and uterine corpus cancer, melanoma, and non-Hodgkin lymphoma (SIR range = 1.31-1.97). Radiotherapy was associated with increased risk for all second cancers (HR = 1.13, 95%CI = 1.01-1.25) and soft tissue sarcoma (HR = 2.36, 95%CI = 1.17-4.78), chemotherapy with decreased risk for all second cancers (HR = 0.87, 95%CI = 0.78-0.98) and increased myelodysplastic syndrome risk (HR = 3.01, 95%CI = 1.01-8.94), and endocrine therapy with lower contralateral breast cancer risk (HR = 0.48, 95%CI = 0.38-0.60). Approximately 1 in 9 women who survived ≥ 1 year developed second cancer, 1 in 13 developed second non-breast cancer, and 1 in 30 developed contralateral breast cancer by 10 years. Trends in cumulative incidence declined for contralateral breast cancer but not for second non-breast cancers. CONCLUSIONS Elevated risks of second cancer among breast cancer survivors treated in recent decades suggests that heightened surveillance is warranted and continued efforts to reduce second cancers are needed.
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Affiliation(s)
- Cody Ramin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA.
- Cancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Lene H S Veiga
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Jacqueline B Vo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Rochelle E Curtis
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Erin J Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Diana S M Buist
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA
| | - Sheila Weinmann
- Kaiser Permanente Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Heather Spencer Feigelson
- Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA
- Institute for Health Research, Kaiser Permanente, Denver, CO, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, USA
- Division of Genetics and Epidemiology, ICR, London, UK
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Mullooly M, Fan S, Pfeiffer RM, Bowles EA, Duggan MA, Falk RT, Richert-Boe K, Kimes T, Figueroa JD, Rohan TE, Abubakar M, Gierach GL. Abstract 776: Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-776] [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 associated with increased breast cancer risk, and the magnitude of this risk is characterized by the severity of the histological classification of the biopsy lesion. High mammographic density (MBD) is an independent risk factor for invasive breast cancer. Given that MBD is altered by endogenous and exogenous factors, its temporal changes may impact future breast cancer risk, but this is poorly studied, particularly among high risk BBD patients. In this study, we examined whether MBD changes following a BBD diagnosis were associated with subsequent breast cancer risk.
Methods: We conducted a case-control study within a cohort of 15,395 women aged 18-86 years who were members of the Kaiser Permanente Northwest Region health care system, had a diagnosis of BBD between 1970 and 2012 and were followed through mid-2015. Cases (n=261) were BBD patients who developed invasive breast cancer at least one year after the index BBD diagnosis. Controls were matched (1:1), on age at BBD diagnosis and health plan membership duration and did not develop breast cancer during the follow-up duration. Standardized change in percent MBD per 2 years, categorized as an increase (≥0%), stable/minimal decrease (-5%< to <0) or decrease (≤-5%), was determined from baseline (pre-biopsy) and follow-up (prior to breast cancer diagnosis for cases or matched selection date for controls) mammograms, using computer-assisted software. Associations between MBD change and breast cancer risk overall and stratified by BBD diagnosis age and histology were determined using unconditional logistic regression adjusted for matching factors and other covariates.
Results: At BBD diagnosis (median age (range)=54.6 years (32.4, 86.6)), 64.5% (n=329: n=151 cases and n=178 controls) of women had non-proliferative and 35.5% (n=181: n=110 cases and n=71 controls) had proliferative BBD with or without atypia. Compared to women with stable/minimal MBD decrease, those who experienced a decline ≥5% per 2 years were less likely to develop breast cancer (odds ratio [OR]: 0.64; 95% confidence interval [CI]: 0.38, 1.07). However, among women aged ≥50 years at BBD diagnosis, an MBD decrease ≥5% was significantly associated with reduced breast cancer risk (OR: 0.48; 95%CI: 0.25, 0.92), with the protective effect most apparent for those with proliferative (OR: 0.32; 95%CI: 0.11, 0.99) versus non-proliferative (OR: 0.70; 95%CI: 0.30, 1.64) BBD.
Discussion: Temporal MBD declines were associated with reduced risk of subsequent breast cancer particularly among BBD patients aged ≥50 years and with proliferative BBD diagnoses. These findings suggest that monitoring MBD may be useful in determining risk and that strategies to actively reduce MBD may be helpful in reducing breast cancer risk among high-risk BBD patients.
Funding: Dr. Rohan is supported in part by the Breast Cancer Research Foundation (BCRF-22-140).
Citation Format: Maeve Mullooly, Shaoqi Fan, Ruth M. Pfeiffer, Erin Aiello Bowles, Máire A. Duggan, Roni T. Falk, Kathryn Richert-Boe, Terry Kimes, Jonine D. Figueroa, Thomas E. Rohan, Mustapha Abubakar, Gretchen L. Gierach. Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease [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 776.
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Affiliation(s)
| | - Shaoqi Fan
- 2National Cancer Institute, Bethesda, MD
| | | | | | | | | | | | - Terry Kimes
- 5Kaiser Permanente Center for Health Research, Portland, OR
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Wu Z, Li F, Sang J, Gierach GL, Vogtmann E. The association between poor oral health and risk of breast cancer in the UK Biobank. Cancer Causes Control 2023; 34:491-494. [PMID: 36928536 DOI: 10.1007/s10552-023-01682-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/03/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE Specific oral health conditions may be risk factors for breast cancer. This study aimed to investigate the associations of oral health conditions with breast cancer risk. METHODS A total of 234,363 women from the UK Biobank prospective cohort were included in this study. We examined the association of self-reported painful/bleeding gums, loose teeth, mouth ulcers, toothache, and use of dentures with the risk of breast cancer. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the associations were calculated with adjustment for multiple confounders. RESULTS No associations of self-reported painful/bleeding gums (HR = 1.04, 95% CI 0.98-1.10), loose teeth (HR = 0.92, 95% CI 0.82-1.02), mouth ulcers (HR = 0.99, 95% CI 0.93-1.06), toothache (HR = 1.03, 95% CI 0.92-1.14), or denture use (HR = 0.96, 95% CI 0.91-1.02) with breast cancer risk were found. No statistical heterogeneity was observed in analyses stratified by baseline smoking and menopausal status. CONCLUSION We observed no association between self-reported oral health conditions with the risk of breast cancer. Additional research with clinical examinations or oral health biomarkers in diverse populations is warranted.
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Affiliation(s)
- Zeni Wu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD, 20892, USA
| | - Fangyu Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD, 20892, USA
| | - Jian Sang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD, 20892, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD, 20892, USA
| | - Emily Vogtmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, MSC 9768, Bethesda, MD, 20892, USA.
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Chang VC, Rhee J, Berndt SI, Moore SC, Freedman ND, Jones RR, Silverman DT, Gierach GL, Hofmann JN, Purdue MP. Serum perfluorooctane sulfonate and perfluorooctanoate and risk of postmenopausal breast cancer according to hormone receptor status: An analysis in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Int J Cancer 2023. [PMID: 36843273 PMCID: PMC10405832 DOI: 10.1002/ijc.34487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 01/27/2023] [Accepted: 02/16/2023] [Indexed: 02/28/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are highly persistent endocrine-disrupting chemicals that may contribute to breast cancer development; however, epidemiologic evidence is limited. We investigated associations between prediagnostic serum levels of perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA) and postmenopausal breast cancer risk, overall and by hormone receptor status, in a nested case-control study of 621 cases and 621 matched controls in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. PFOS and PFOA levels were determined based on serum metabolomic profiling performed using ultraperformance liquid chromatography-tandem mass spectrometry. We used multivariable conditional logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between each PFAS and breast cancer risk, overall, by estrogen receptor (ER) or progesterone receptor (PR) status, and by joint ER/PR status. We found little evidence of association between PFOS or PFOA and breast cancer risk overall. However, in subtype-specific analyses, we observed statistically significant increased risks of ER+, PR+, and ER+/PR+ tumors for the third vs lowest quartile of serum PFOS (ORs [95% CIs] = 1.59 [1.01-2.50], 2.34 [1.29-4.23], and 2.19 [1.21-3.98], respectively) and elevated but nonstatistically significant ORs for the fourth quartile. Conversely, for PFOA, modest positive associations with ER-, PR-, ER+/PR-, and ER-/PR- tumors were generally seen in the upper quartiles. Our findings contribute evidence supporting positive associations between serum PFOS and hormone receptor-positive tumors, and possibly between PFOA and receptor-negative tumors. Future prospective studies incorporating tumor hormone receptor status are needed to better understand the role of PFAS in breast cancer etiology.
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Affiliation(s)
- Vicky C Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Steven C Moore
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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Ramin C, Gierach GL, Abubakar M, Veiga LHS, Vo JB, Curtis RE, Bowles EJA, Feigelson HS, Buist DSM, de Gonzalez AB, Bodelon C. Correction to: The influence of treatment on hormone receptor subgroups and breast cancer-specific mortality within US integrated healthcare systems. Cancer Causes Control 2023; 34:101-102. [PMID: 36214934 DOI: 10.1007/s10552-022-01627-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Cody Ramin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Lene H S Veiga
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Jacqueline B Vo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Rochelle E Curtis
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Erin J Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Heather Spencer Feigelson
- Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA.,Institute for Health Research, Kaiser Permanente, Denver, CO, USA
| | - Diana S M Buist
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.,Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA
| | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Bethesda, MD, USA.
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Visvanathan K, Mondul AM, Zeleniuch-Jacquotte A, Wang M, Gail MH, Yaun SS, Weinstein SJ, McCullough ML, Eliassen AH, Cook NR, Agnoli C, Almquist M, Black A, Buring JE, Chen C, Chen Y, Clendenen T, Dossus L, Fedirko V, Gierach GL, Giovannucci EL, Goodman GE, Goodman MT, Guénel P, Hallmans G, Hankinson SE, Horst RL, Hou T, Huang WY, Jones ME, Joshu CE, Kaaks R, Krogh V, Kühn T, Kvaskoff M, Lee IM, Mahamat-Saleh Y, Malm J, Manjer J, Maskarinec G, Millen AE, Mukhtar TK, Neuhouser ML, Robsahm TE, Schoemaker MJ, Sieri S, Sund M, Swerdlow AJ, Thomson CA, Ursin G, Wactawski-Wende J, Wang Y, Wilkens LR, Wu Y, Zoltick E, Willett WC, Smith-Warner SA, Ziegler RG. Circulating vitamin D and breast cancer risk: an international pooling project of 17 cohorts. Eur J Epidemiol 2023; 38:11-29. [PMID: 36593337 PMCID: PMC10039648 DOI: 10.1007/s10654-022-00921-1] [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: 04/26/2022] [Accepted: 09/21/2022] [Indexed: 01/04/2023]
Abstract
Laboratory and animal research support a protective role for vitamin D in breast carcinogenesis, but epidemiologic studies have been inconclusive. To examine comprehensively the relationship of circulating 25-hydroxyvitamin D [25(OH)D] to subsequent breast cancer incidence, we harmonized and pooled participant-level data from 10 U.S. and 7 European prospective cohorts. Included were 10,484 invasive breast cancer cases and 12,953 matched controls. Median age (interdecile range) was 57 (42-68) years at blood collection and 63 (49-75) years at breast cancer diagnosis. Prediagnostic circulating 25(OH)D was either newly measured using a widely accepted immunoassay and laboratory or, if previously measured by the cohort, calibrated to this assay to permit using a common metric. Study-specific relative risks (RRs) for season-standardized 25(OH)D concentrations were estimated by conditional logistic regression and combined by random-effects models. Circulating 25(OH)D increased from a median of 22.6 nmol/L in consortium-wide decile 1 to 93.2 nmol/L in decile 10. Breast cancer risk in each decile was not statistically significantly different from risk in decile 5 in models adjusted for breast cancer risk factors, and no trend was apparent (P-trend = 0.64). Compared to women with sufficient 25(OH)D based on Institute of Medicine guidelines (50- < 62.5 nmol/L), RRs were not statistically significantly different at either low concentrations (< 20 nmol/L, 3% of controls) or high concentrations (100- < 125 nmol/L, 3% of controls; ≥ 125 nmol/L, 0.7% of controls). RR per 25 nmol/L increase in 25(OH)D was 0.99 [95% confidence intervaI (CI) 0.95-1.03]. Associations remained null across subgroups, including those defined by body mass index, physical activity, latitude, and season of blood collection. Although none of the associations by tumor characteristics reached statistical significance, suggestive inverse associations were seen for distant and triple negative tumors. Circulating 25(OH)D, comparably measured in 17 international cohorts and season-standardized, was not related to subsequent incidence of invasive breast cancer over a broad range in vitamin D status.
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Affiliation(s)
- Kala Visvanathan
- Departments of Epidemiology and Oncology, Johns Hopkins Bloomberg School of Public Health and Kimmel Cancer Center, Baltimore, MD, USA
| | - Alison M Mondul
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Molin Wang
- Department of Biostatistics, 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
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shiaw-Shyuan Yaun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nancy R Cook
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Martin Almquist
- Department of Surgery, Skane University Hospital, Lund, Sweden
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julie E Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Tess Clendenen
- Departments of Population Health and Environmental Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Veronika Fedirko
- Department of Epidemiology, Rollins School of Public Health and Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gary E Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marc T Goodman
- Cancer Prevention and Control Research Program, Cedars Sinai Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | | | - Tao Hou
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Corrine E Joshu
- Departments of Epidemiology and Oncology, Johns Hopkins Bloomberg School of Public Health and Kimmel Cancer Center, Baltimore, MD, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute for Global Food Security, Queen's University, Belfast, Northern Ireland
| | - Marina Kvaskoff
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yahya Mahamat-Saleh
- Center for Research in Epidemiology and Population Health (CESP), French National Institute of Health and Medical Research (INSERM), University Paris-Saclay, Villejuif, France
| | - Johan Malm
- Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Jonas Manjer
- Department of Surgery, Skane University Hospital, Lund University, Malmö, Sweden
| | - Gertraud Maskarinec
- Cancer Epidemiology Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Amy E Millen
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Toqir K Mukhtar
- Department of Primary Care and Public Health, Imperial College, London, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Trude E Robsahm
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sabina Sieri
- Epidemiology and Prevention Unit, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, 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
| | - Cynthia A Thomson
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona and University of Arizona Cancer Center, Tucson, AZ, USA
| | - Giske Ursin
- Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Yujie Wu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emilie Zoltick
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie A Smith-Warner
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Veiga LHS, Vo JB, Curtis RE, Mille MM, Lee C, Ramin C, Bodelon C, Aiello Bowles EJ, Buist DSM, Weinmann S, Feigelson HS, Gierach GL, Berrington de Gonzalez A. Treatment-related thoracic soft tissue sarcomas in US breast cancer survivors: a retrospective cohort study. Lancet Oncol 2022; 23:1451-1464. [PMID: 36240805 PMCID: PMC9633446 DOI: 10.1016/s1470-2045(22)00561-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Soft tissue sarcoma is a rare but serious side-effect of radiotherapy to treat breast cancer, and rates are increasing in the USA. We evaluated potential co-factors in two complimentary cohorts of US breast cancer survivors. METHODS In this retrospective cohort study, we sourced data from the Kaiser Permanente (KP) cohort and the Surveillance, Epidemiology, and End Results (SEER) 13 registries cohort, both in the USA. The KP cohort included 15 940 women diagnosed with breast cancer from Jan 1, 1990, to Dec 31, 2016, in KP Colorado, KP Northwest (which serves Oregon and Southwest Washington state), or KP Washington, with detailed treatment data and comorbidities (including hypertension and diabetes at or before breast cancer diagnosis) from electronic medical records. The SEER cohort included 457 300 women diagnosed with breast cancer from Jan 1, 1992, to Dec 31, 2016, within the 13 SEER registries across the USA, with initial treatment data (yes vs no or unknown). Eligibility criteria in both cohorts were female breast cancer survivors (stage I-III) aged 20-84 years at diagnosis who had breast cancer surgery, and had survived at least 1 year after breast cancer diagnosis. The outcome of interest was any second thoracic soft tissue sarcoma (angiosarcomas and other subtypes) that developed at least 1 year after breast cancer diagnosis. Risk factors for thoracic soft tissue sarcoma were assessed using multivariable Poisson regression models. FINDINGS In the KP cohort, median follow-up was 9·3 years (IQR 5·7-13·9) and 19 (0·1%) of 15 940 eligible, evaluable women developed a thoracic soft tissue sarcoma (11 angiosarcomas, eight other subtypes). Most (94·7%; 18 of 19) thoracic soft tissue sarcomas occurred in women treated with radiotherapy; thus, radiotherapy was associated with a significantly increased risk of developing a thoracic soft tissue sarcoma (relative risk [RR] 8·1 [95% CI 1·1-60·4]; p=0·0052), but there was no association with prescribed dose, fractionation, or boost. The RR of angiosarcoma after anthracyclines was 3·6 (95% CI 1·0-13·3; p=0·058). Alkylating agents were associated with an increased risk of developing other sarcomas (RR 7·7 [95% CI 1·2-150·8]; p=0·026). History of hypertension (RR 4·8 [95% CI 1·3-17·6]; p=0·017) and diabetes (5·3 [1·4-20·8]; p=0·036) were each associated with around a five-times increased risk of angiosarcoma. In the SEER cohort, 430 (0·1%) of 457 300 patients had subsequent thoracic soft tissue sarcomas (268 angiosarcomas and 162 other subtypes) after a median follow-up of 8·3 years (IQR 4·3-13·9). Most (77·9%; 335 of 430) cases occurred after radiotherapy; thus, radiotherapy was associated with a significantly increased risk of developing a thoracic soft tissue sarcoma (RR 3·0 [95% CI 2·4-3·8]; p<0·0001) and, for angiosarcomas, the RR for breast-conserving surgery plus radiotherapy versus mastectomy plus radiotherapy was 1·9 (1·1-3·3; p=0·012). By 10 years after radiotherapy, the cumulative incidence of thoracic soft tissue sarcoma was 0·21% (95% CI 0·12-0·34) in the KP cohort and 0·15% (95% CI 0·13-0·17) in SEER. INTERPRETATION Radiotherapy was the strongest risk factor for thoracic soft tissue sarcoma in both cohorts. This finding, along with the novel findings for diabetes and hypertension as potential risk factors for angiosarcomas, warrant further investigation as potential targets for prevention strategies and increased surveillance. FUNDING US National Cancer Institute and National Institutes of Health.
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Affiliation(s)
- Lene H S Veiga
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Jacqueline B Vo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rochelle E Curtis
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Matthew M Mille
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cody Ramin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Erin J Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Diana S M Buist
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA; Bernard J Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA
| | - Sheila Weinmann
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Heather Spencer Feigelson
- Bernard J Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA; Institute for Health Research, Kaiser Permanente, Denver, CO, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Abubakar M, Fan S, Duggan MA, Pfeiffer RM, Lawrence S, Richert-Boe K, Glass A, Kimes TM, Figueroa JD, Rohan TE, Gierach GL. Abstract SY25-02: Double-edged “soil”: Stromal microenvironment in breast cancer development. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-sy25-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Double-edged “Soil”: Stromal Microenvironment in Breast Cancer Development
Mustapha Abubakar, MD, PhD1; Shaoqi Fan, MPH1; Máire A. Duggan, MD, FRCPC2; Ruth M. Pfeiffer, PhD1; Scott Lawrence, M.S.3; Kathryn Richert-Boe, MD4; Andrew G. Glass, MD4; Teresa M. Kimes, MS4; Jonine D. Figueroa, PhD, MPH5; Thomas E. Rohan, MBBS, PhD6; Gretchen L. Gierach, PhD, MPH1.
Affiliations 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), USA2Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, T2N2Y9, Alberta, Canada3Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD 217024Kaiser Permanente Center for Health Research, Portland, Oregon 5Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK6Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, 10461
Deceased
Background Over a century after Paget’s postulation of the “seed” and “soil” hypothesis of breast cancer metastasis, understanding of the role of the “soil” (i.e., local or distant stromal microenvironment) in supporting and promoting the growth and dissemination of “seed” tumor cells has increased considerably. However, the role of the stromal microenvironment in early stages of breast cancer development, including tissue origins of etiologic heterogeneity, remains poorly understood. To date, the prevailing model of breast cancer development involves a linear sequence of epithelial changes that begin from normal epithelium, progress to flat epithelial atypia (FEA), develop into atypical ductal hyperplasia, transform into ductal carcinoma in situ (DCIS), and culminate in the emergence of invasive breast cancer. An alternative model proposes the evolution of FEA from usual ductal hyperplasia, but this is not supported by a clear genetic link between the two. Notably, established models of breast cancer development are predicated almost exclusively on sequences of epithelial changes. Although recent efforts have shed light on the significance of stromal microenvironment in DCIS to invasive breast cancer progression, its role in breast cancer development following benign breast disease (BBD) is less well-studied. MethodsIn this case-control study, nested within a cohort of 15,395 BBD patients from Kaiser Permanente Northwest (1970-2012) who were followed for subsequent development of invasive breast cancer, we evaluated archival diagnostic, formalin-fixed and paraffin-embedded tissue blocks using high-accuracy machine learning algorithms for the detailed characterization of stromal microenvironment on digitized H&E-stained breast biopsy sections. Stromal phenotypes, including total stromal-to-epithelial ratio (TSER), dense stromal-to-epithelial ratio (DSER), loose stromal-to-epithelial ratio (LSER) and stromal cellular density (SCD) were defined based on the distributions of total stromal area, dense (mostly fibrous/collagenized, inter-lobular) stroma, loose (mostly pale, intra-lobular or remodeled) stroma, and stromal cellularity, respectively. Relationships between stromal features and invasive breast cancer incidence through 2012 were assessed in multivariable conditional logistic regression models adjusted for BBD histological classification, body mass index, menopausal status/menopausal hormone therapy use, parity and age at first live birth (AFLB), family history of breast cancer (FHBC), oophorectomy, and mammographic density. Analyses were performed overall and by BBD histologic classification. We also evaluated associations between stromal features and breast cancer risk according to tumor characteristics that define divergent etiologic pathways, namely estrogen receptor (ER) expression and histologic grade. Results The current analysis is comprised of 486 cases and 487 controls, representing 95% of the case-control study population, for whom digitized H&E-stained sections were suitable for image analysis. The median age at diagnosis was 51.4 (range=18-86) years. ~55% of the participants were either overweight (30.1%) or obese (24.5%) at BBD diagnosis, and 69% had non-proliferative disease (NPD), 28% proliferative disease (PD) without atypia, and 3% atypical hyperplasia (AH). 13% of BBD biopsies contained simple fibroadenoma, ~2% complex fibroadenoma, 8% sclerosing adenosis, 5% radial scar, and 14% columnar cell lesions. The median (range) values (%) of total, dense, and loose connective tissue stroma were 39.3% (0.6-89.9%), 25.1% (0.1-84.5%), and 8.6% (0.2-59.0%), respectively. On average, BBD lesions contained ~6 times more stroma than epithelium. Average TSER, DSER, LSER, and SCD were 6.3, 4.4, 1.8, and 7.5%, respectively. Overall, increasing TSER was associated with decreasing risk of breast cancer [OR(95% CI)Q4 vs Q1=0.51(0.32, 0.82); p-trend=0.009]. The protective effect of TSER was, however, stronger in relation to DSER [OR(95% CI)Q4 vs Q1=0.48(0.29, 0.79); p-trend=0.007] than LSER [OR(95% CI)Q4 vs Q1=0.84(0.52, 1.36); p-trend=0.70]. Conversely, increasing SCD was statistically significantly associated with increasing breast cancer risk [OR(95% CI)Q4 vs Q1=2.21 (1.38, 3.56); p-trend=0.001]. Although findings were stronger among patients with NPD than PD, there was no heterogeneity in the association by BBD histology. Of the stromal features, DSER and SCD were most predictive of breast cancer risk but these were not independent of one another. To test their joint association with risk, we combined categories [low (<25th percentile), intermediate (25th–75th percentile), and high (>75th percentile) for each variable] in a composite, stromal disruption (SD), variable as follows: 1) no SD (high DSER and low SCD); 2) minimal disruption (high DSER and intermediate SCD, or vice versa); 3) moderate SD (intermediate DSER and high SCD, or vice versa); and 4) substantial SD (low DSER and high SCD). BBD patients with moderate [OR(95% CI)=1.74(1.01, 2.99)] or substantial [OR(95% CI)=2.70(1.51, 4.84)] SD were at statistically significantly elevated risk of breast cancer than those with no SD. Younger women, those with proliferative BBD, parous and AFLB <30 years, positive FHBC, absent involution, and being postmenopausal were statistically significantly more likely to develop BBDs with substantial SD than those with no SD. Substantial SD was associated with elevated risk of both ER+ [OR(95% CI)=1.97(1.16, 3.36)] and ER- [OR(95% CI)=2.09(0.77, 5.69)] breast cancer. In terms of grade, substantial SD was more strongly associated with risks of high [OR(95% CI)=3.17(1.28, 7.85)] and intermediate [OR(95% CI)=2.30(1.10, 4.83)] than low [OR(95% CI)=1.61(0.74, 3.50)] grade tumors overall (p-heterogeneity=0.44). This association was stronger among patients with NPD [OR(95% CI) substantial SD vs no SD=5.75(2.04, 16.09); 2.83(1.15, 6.97); and 1.36(0.53, 3.46) for high, intermediate, and low grade tumors, respectively (p-heterogeneity=0.03)]. Because AH has been implicated in the development of ER+/low grade but not ER+/high grade tumors, we further evaluated the role of AH and SD in ER+ breast cancer risk: contrasting patterns were observed in associations between AH, substantial SD, and risk of ER+ tumors defined by levels of histologic grade. While AH more strongly predisposed to risk of low [OR(95% CI)=6.32(1.09, 20.08)] than high [OR(95% CI)=1.04(0.10, 11.24)] grade ER+ tumors, substantial SD more strongly predisposed to risk of high [OR(95% CI)=5.28(1.54, 18.10)] than low [OR(95% CI)=1.52(0.76, 3.06)] grade ER+ tumors.Conclusion Components of the stromal microenvironment in BBD showed disparate associations with breast cancer risk factors and risk of subsequent invasive breast cancer. In particular, increasing ratio of dense (mostly fibrous/collagenized and inter-lobular), but not loose (mostly pale/myxoid, intra-lobular, remodeled), connective tissue stroma to epithelium was strongly associated with reduced risk of breast cancer. Conversely, increasing stromal cellularity was associated with increasing risk of breast cancer. In combination, decreasing amounts of dense stroma and concomitant increase in loose stroma, epithelial volume, and stromal cellularity resulted in a stromal disruption phenotype that was strongly associated with increased breast cancer risk overall, but particularly of aggressive high grade tumors. These results were independent of BBD histologic diagnosis. Many of the observed risk factor associations with stromal microenvironment features were consistent with their breast cancer risk relationships, suggesting that stromal changes may reflect cumulative exposure to breast cancer risk factors. These findings provide new etiologic insights into stromal role in breast cancer risk, including tissue origins of breast cancer etiologic heterogeneity, with the potential to aid risk stratification and clinical decision-making for BBD patients.
Citation Format: Mustapha Abubakar, Shaoqi Fan, Maire A. Duggan, Ruth M. Pfeiffer, Scott Lawrence, Kathryn Richert-Boe, Andrew Glass, Teresa M. Kimes, Jonine D. Figueroa, Thomas E. Rohan, Gretchen L. Gierach. Double-edged “soil”: Stromal microenvironment in breast cancer development [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 SY25-02.
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Affiliation(s)
| | - Shaoqi Fan
- 1NIH-NCI (National Cancer Institute), Rockville, MD
| | | | | | | | | | - Andrew Glass
- 4Kaiser Permanente Center for Health Research, Portland, OR
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Davis Lynn BC, Chernyavskiy P, Gierach GL, Rosenberg PS. Response to Krieger. J Natl Cancer Inst 2022; 114:1308-1309. [PMID: 35377439 DOI: 10.1093/jnci/djac074] [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: 03/23/2022] [Accepted: 03/29/2022] [Indexed: 11/14/2022] Open
Affiliation(s)
- Brittny C Davis Lynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pavel Chernyavskiy
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Philip S Rosenberg
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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19
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Abubakar M, Mullooly M, Nyante S, Pfeiffer RM, Aiello Bowles EJ, Cora R, Bodelon C, Butler E, Butcher D, Sternberg L, Troester MA, Weinmann S, Sherman M, Glass AG, Berrington de Gonzalez A, Gierach GL. Mammographic Density Decline, Tamoxifen Response, and Prognosis by Molecular Characteristics of Estrogen Receptor-Positive Breast Cancer. JNCI Cancer Spectr 2022; 6:6555998. [PMID: 35583138 PMCID: PMC9070642 DOI: 10.1093/jncics/pkac028] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 01/27/2022] [Accepted: 02/03/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Mammographic breast density (MBD) decline post-tamoxifen initiation is a favorable prognostic factor in estrogen receptor (ER)-positive breast cancer (BC) and has potential utility as a biomarker of tamoxifen response. However, the prognostic value of MBD decline may vary by molecular characteristics among ER-positive patients. METHODS We investigated associations between MBD decline (≥10% vs <10%) and breast cancer-specific mortality (BCSM) among ER-positive breast cancer patients aged 36-87 years at diagnosis treated with tamoxifen at Kaiser Permanente Northwest (1990-2008). Patients who died of BC (case patients; n = 62) were compared with those who did not (control patients; n = 215) overall and by tumor molecular characteristics (immunohistochemistry [IHC]-based subtype [luminal A-like: ER-positive/progesterone receptor [PR]-positive/HER2-negative/low Ki67; luminal B-like: ER-positive and 1 or more of PR-negative, HER2-positive, high Ki67] and modified IHC [mIHC]-based recurrence score of ER/PR/Ki67). Percent MBD was measured in the unaffected breast at baseline mammogram (mean = 6 months before tamoxifen initiation) and follow-up (mean = 12 months post-tamoxifen initiation). Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were computed from logistic regression models. All statistical tests were 2-sided. RESULTS MBD decline was statistically significantly associated with reduced risk of BCSM overall (OR = 0.38, 95% CI = 0.15 to 0.92). This association was, however, stronger among women with aggressive tumor characteristics including luminal B-like (OR = 0.17, 95% CI = 0.04 to 0.73) vs A-like (OR = 0.74, 95% CI = 0.19 to 2.92); large (OR = 0.26, 95% CI = 0.08 to 0.78) vs small (OR = 0.41, 95% CI = 0.04 to 3.79) tumors; PR-negative (OR = 0.02, 95% CI = 0.001 to 0.37) vs PR-positive (OR = 0.50, 95% CI = 0.18 to 1.40) disease; and high (OR = 0.25, 95% CI = 0.07 to 0.93) vs low (OR = 0.44, 95% CI = 0.10 to 2.09) mIHC3 score. CONCLUSION The findings support MBD decline as a prognostic marker of tamoxifen response among patients with aggressive ER-positive BC phenotypes, for whom understanding treatment effectiveness is critical.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA,Correspondence to: Mustapha Abubakar, MD, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Rockville, USA (e-mail: )
| | - Maeve Mullooly
- School of Population Health, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Sarah Nyante
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erin J Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Renata Cora
- Independent Contractor, CT(ASCP), MB(ASCP), Stamford, CT, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eboneé Butler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Donna Butcher
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Lawrence Sternberg
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sheila Weinmann
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | - Andrew G Glass
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Amy Berrington de Gonzalez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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20
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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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21
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Chen H, Fan S, Stone J, Thompson DJ, Douglas J, Li S, Scott C, Bolla MK, Wang Q, Dennis J, Michailidou K, Li C, Peters U, Hopper JL, Southey MC, Nguyen-Dumont T, Nguyen TL, Fasching PA, Behrens A, Cadby G, Murphy RA, Aronson K, Howell A, Astley S, Couch F, Olson J, Milne RL, Giles GG, Haiman CA, Maskarinec G, Winham S, John EM, Kurian A, Eliassen H, Andrulis I, Evans DG, Newman WG, Hall P, Czene K, Swerdlow A, Jones M, Pollan M, Fernandez-Navarro P, McConnell DS, Kristensen VN, Rothstein JH, Wang P, Habel LA, Sieh W, Dunning AM, Pharoah PDP, Easton DF, Gierach GL, Tamimi RM, Vachon CM, Lindström S. Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci. Breast Cancer Res 2022; 24:27. [PMID: 35414113 PMCID: PMC9006574 DOI: 10.1186/s13058-022-01524-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 11/12/2021] [Accepted: 04/02/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However, only a small proportion of their variance is explained by identified genetic variants. METHODS We conducted a genome-wide association study, as well as a transcriptome-wide association study (TWAS), of age- and BMI-adjusted DA, NDA, and PMD in up to 27,900 European-ancestry women from the MODE/BCAC consortia. RESULTS We identified 28 genome-wide significant loci for MD phenotypes, including nine novel signals (5q11.2, 5q14.1, 5q31.1, 5q33.3, 5q35.1, 7p11.2, 8q24.13, 12p11.2, 16q12.2). Further, 45% of all known breast cancer SNPs were associated with at least one MD phenotype at p < 0.05. TWAS further identified two novel genes (SHOX2 and CRISPLD2) whose genetically predicted expression was significantly associated with MD phenotypes. CONCLUSIONS Our findings provided novel insight into the genetic background of MD phenotypes, and further demonstrated their shared genetic basis with breast cancer.
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Affiliation(s)
- Hongjie Chen
- grid.34477.330000000122986657Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Box 351619, Seattle, WA 98195 USA
| | - Shaoqi Fan
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Jennifer Stone
- grid.1012.20000 0004 1936 7910School of Population and Global Health, University of Western Australia, Crawley, Australia
| | - Deborah J. Thompson
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Julie Douglas
- grid.214458.e0000000086837370Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI USA ,grid.60094.3b0000 0001 2270 6467Department of Mathematics and Statistics, Skidmore College, Saratoga Springs, NY USA
| | - Shuai Li
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia ,grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia
| | - Christopher Scott
- grid.66875.3a0000 0004 0459 167XDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Manjeet K. Bolla
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- grid.417705.00000 0004 0609 0940Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus ,grid.417705.00000 0004 0609 0940Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Christopher Li
- grid.34477.330000000122986657Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Box 351619, Seattle, WA 98195 USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Ulrike Peters
- grid.34477.330000000122986657Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Box 351619, Seattle, WA 98195 USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - John L. Hopper
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia
| | - Melissa C. Southey
- grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia
| | - Tu Nguyen-Dumont
- grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia
| | - Tuong L. Nguyen
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia
| | - Peter A. Fasching
- grid.411668.c0000 0000 9935 6525Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Annika Behrens
- grid.411668.c0000 0000 9935 6525Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Gemma Cadby
- grid.1012.20000 0004 1936 7910School of Population and Global Health, University of Western Australia, Crawley, Australia
| | - Rachel A. Murphy
- grid.17091.3e0000 0001 2288 9830Cancer Control Research, BC Cancer and School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Kristan Aronson
- grid.410356.50000 0004 1936 8331Public Health Sciences, Queen’s University, Kingston, Canada
| | - Anthony Howell
- grid.5379.80000000121662407Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Susan Astley
- grid.5379.80000000121662407Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Fergus Couch
- grid.66875.3a0000 0004 0459 167XDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Janet Olson
- grid.66875.3a0000 0004 0459 167XDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Roger L. Milne
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia ,grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia ,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC Australia
| | - Graham G. Giles
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia ,grid.5379.80000000121662407Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK ,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC Australia
| | - Christopher A. Haiman
- grid.42505.360000 0001 2156 6853Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Gertraud Maskarinec
- grid.410445.00000 0001 2188 0957Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI USA
| | - Stacey Winham
- grid.66875.3a0000 0004 0459 167XDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Esther M. John
- grid.168010.e0000000419368956Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Allison Kurian
- grid.168010.e0000000419368956Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA USA
| | - Heather Eliassen
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Irene Andrulis
- grid.250674.20000 0004 0626 6184Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - D. Gareth Evans
- grid.5379.80000000121662407Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK ,grid.462482.e0000 0004 0417 0074Genomic Medicine, St Mary’s Hospital, Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK ,grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G. Newman
- grid.5379.80000000121662407Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Per Hall
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kamila Czene
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anthony Swerdlow
- grid.18886.3fDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Michael Jones
- grid.18886.3fDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Marina Pollan
- grid.413448.e0000 0000 9314 1427Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Pablo Fernandez-Navarro
- grid.413448.e0000 0000 9314 1427Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Daniel S. McConnell
- grid.214458.e0000000086837370Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Vessela N. Kristensen
- grid.55325.340000 0004 0389 8485Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | | | - Joseph H. Rothstein
- grid.59734.3c0000 0001 0670 2351Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Pei Wang
- grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Laurel A. Habel
- grid.280062.e0000 0000 9957 7758Division of Research, Kaiser Permanente Northern California, Oakland, CA USA
| | - Weiva Sieh
- grid.59734.3c0000 0001 0670 2351Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alison M. Dunning
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul D. P. Pharoah
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Douglas F. Easton
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Gretchen L. Gierach
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Rulla M. Tamimi
- grid.5386.8000000041936877XDivision of Epidemiology, Population Health Science, Weill Cornell Medicine, New York, NY USA
| | - Celine M. Vachon
- grid.66875.3a0000 0004 0459 167XDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA
| | - Sara Lindström
- grid.34477.330000000122986657Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Box 351619, Seattle, WA 98195 USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
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22
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Davis Lynn BC, Lord BD, Cora R, Pfeiffer RM, Lawrence S, Zirpoli G, Bethea TN, Palmer JR, Gierach GL. Associations between quantitative measures of TDLU involution and breast tumor molecular subtypes among breast cancer cases in the Black Women's Health Study: a case-case analysis. Breast Cancer Res 2022; 24:86. [PMID: 36471360 PMCID: PMC9720909 DOI: 10.1186/s13058-022-01577-1] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/07/2022] [Indexed: 12/07/2022] Open
Abstract
BACKGROUND Terminal duct lobular units (TDLUs) are the structures in the breast that give rise to most breast cancers. Previous work has shown that TDLU involution is inversely associated with TDLU metrics, such as TDLU count/100mm2, TDLU span (µm), and number of acini/TDLU, and that these metrics may be elevated in the normal breast tissue of women diagnosed with triple-negative (TN) compared with luminal A breast tumors. It is unknown whether this relationship exists in Black women, who have the highest incidence of TN breast cancer and the highest overall breast cancer mortality rate. We examined relationships between TDLU metrics and breast cancer molecular subtype among breast cancer cases in the Black Women's Health Study (BWHS). METHODS We assessed quantitative TDLU metrics (TDLU count/100mm2, TDLU span (µm), and number of acini/TDLU) in digitized 247 hematoxylin and eosin-stained adjacent normal tissue sections from 223 BWHS breast cancer cases, including 65 triple negative (TN) cancers (estrogen receptor (ER) negative, progesterone receptor (PR) negative, human epidermal growth factor-2 (HER2) negative) and 158 luminal A cancers (ER positive, HER2 negative). We evaluated associations of least square mean TDLU metrics adjusted for age and body mass index (BMI) with patient and clinical characteristics. In logistic regression models, we evaluated associations between TDLU metrics and breast cancer subtype, adjusting for age, BMI, and tumor size. RESULTS Older age and higher BMI were associated with lower TDLU metrics and larger tumor size and lymph node invasion with higher TDLU metrics. The odds of TN compared with luminal A breast cancer increased with increasing tertiles of TDLU metrics, with odds ratios (95% confidence intervals) for tertile 3 versus tertile 1 of 2.18 (0.99, 4.79), 2.77 (1.07, 7.16), and 1.77 (0.79, 3.98) for TDLU count, TDLU span, and acini count/TDLU, respectively. CONCLUSION Associations of TDLU metrics with breast cancer subtypes in the BWHS are consistent with previous studies of White and Asian women, demonstrating reduced TDLU involution in TN compared with luminal A breast cancers. Further investigation is needed to understand the factors that influence TDLU involution and the mechanisms that mediate TDLU involution and breast cancer subtype.
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Affiliation(s)
- Brittny C. Davis Lynn
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | - Brittany D. Lord
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | | | - Ruth M. Pfeiffer
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | - Scott Lawrence
- grid.419407.f0000 0004 4665 8158Molecular and Digital Pathology Laboratory, Leidos Biomedical Research, Inc., 9615 Medical Center Drive, Rockville, MD USA
| | - Gary Zirpoli
- grid.189504.10000 0004 1936 7558Slone Epidemiology Center, Boston University, 72 East Concord Street L-7, Boston, MA USA
| | - Traci N. Bethea
- grid.516085.f0000 0004 0606 3221Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, 1000 New Jersey Ave SE, Washington, DC USA
| | - Julie R. Palmer
- grid.189504.10000 0004 1936 7558Slone Epidemiology Center, Boston University, 72 East Concord Street L-7, Boston, MA USA
| | - Gretchen L. Gierach
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
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23
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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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Tian Y, Guida JL, Koka H, Li EN, Zhu B, Sung H, Chan A, Zhang H, Tang E, Guo C, Deng J, Hu N, Lu N, Gierach GL, Li J, Yang XR. Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women With Breast Cancer. JNCI Cancer Spectr 2021; 5:pkaa092. [PMID: 34651101 DOI: 10.1093/jncics/pkaa092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/25/2020] [Accepted: 09/15/2020] [Indexed: 11/14/2022] Open
Abstract
Background Studies investigating associations between mammographic density (MD) and breast cancer subtypes have generated mixed results. We previously showed that having extremely dense breasts was associated with the human epidermal growth factor receptor-2 (HER2)-enriched subtype in Chinese breast cancer patients. Methods In this study, we reevaluated the MD-subtype association in 1549 Chinese breast cancer patients, using VolparaDensity software to obtain quantitative MD measures. All statistical tests were 2-sided. Results Compared with women with luminal A tumors, women with luminal B/HER2- (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.04 to 1.38; P = .01), luminal B/HER2+ (OR = 1.22, 95% CI = 1.03 to 1.46; P = .03), and HER2-enriched tumors (OR = 1.30, 95% CI = 1.06 to 1.59; P = .01) had higher fibroglandular dense volume. These associations were stronger in patients with smaller tumors (<2 cm). In contrast, the triple-negative subtype was associated with lower nondense volume (OR = 0.82, 95% CI = 0.68 to 0.99; P = .04), and the association was only seen among older women (age 50 years or older). Conclusion Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.
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Affiliation(s)
- Yuan Tian
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jennifer L Guida
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.,Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Hela Koka
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Er-Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Zhu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Hyuna Sung
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.,Surveillance and Health Services Research, American Cancer Society, Atlanta, GA, USA
| | - Ariane Chan
- Science and Technology, Volpara Health Technologies, Wellington, New Zealand
| | - Han Zhang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Eric Tang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Changyuan Guo
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Joseph Deng
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Nan Hu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Ning Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gretchen L Gierach
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Jing Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong R Yang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
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Lynn BCD, Chernyavskiy P, Gierach GL, Rosenberg PS. Decreasing Incidence of Estrogen Receptor-Negative Breast Cancer in the United States: Trends by Race and Region. J Natl Cancer Inst 2021; 114:263-270. [PMID: 34508608 PMCID: PMC8826530 DOI: 10.1093/jnci/djab186] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 04/15/2021] [Revised: 07/21/2021] [Accepted: 09/09/2021] [Indexed: 11/24/2022] Open
Abstract
Background Incidence of estrogen receptor (ER)-negative breast cancer, an aggressive subtype, is highest in US African American women and in Southern residents but has decreased overall since 1992. We assessed whether ER-negative breast cancer is decreasing in all age groups and cancer registries among non-Hispanic White (NHW), non-Hispanic Black (NHB), and Hispanic White (HW) women. Methods We analyzed 17 Surveillance, Epidemiology, and End-Results (SEER) Program registries (12 for 1992-2016; 5 for 2000-2016) to assess NHW, NHB, and HW trends by ER status and age group (30-39 years, 40-49 years, 50-69 years, 70-84 years). We used hierarchical age-period-cohort models that account for sparse data, which improve estimates to quantify between-registry heterogeneity in mean incidence rates and age-adjusted trends vs SEER overall. Results Overall, ER-negative incidence was highest in NHB, then NHW and HW women, and decreased from 1992-2016 in each age group and racial or ethnic group. The greatest decrease was for HW women aged 40-49 years, with an annual percent change of –3.5%/y (95% credible interval = −4.4%, −2.7%) averaged over registries. The trend heterogeneity was statistically significant in every race or ethnic and age group. Furthermore, the incidence relative risks by race or ethnicity compared with the race-specific SEER average were also statistically significantly heterogeneous across the majority of registries and age groups (62 of 68 strata). The greatest heterogeneity was seen in HW women, followed by NHB women, and the least in NHW women. Conclusions Decreasing ER-negative breast cancer incidence differs meaningfully by US region and age among NHB and HW women. Analytical studies including minority women from higher and lower incidence areas may provide insights into breast cancer racial disparities.
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Affiliation(s)
- Brittny C Davis Lynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pavel Chernyavskiy
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Philip S Rosenberg
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Trabert B, Geczik AM, Bauer DC, Buist DSM, Cauley JA, Falk RT, Gierach GL, Hue TF, Lacey JV, LaCroix AZ, Michels KA, Tice JA, Xu X, Brinton LA, Dallal CM. Association of Endogenous Pregnenolone, Progesterone, and Related Metabolites with Risk of Endometrial and Ovarian Cancers in Postmenopausal Women: The B ∼FIT Cohort. Cancer Epidemiol Biomarkers Prev 2021; 30:2030-2037. [PMID: 34465588 DOI: 10.1158/1055-9965.epi-21-0669] [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: 05/26/2021] [Revised: 07/19/2021] [Accepted: 08/24/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Postmenopausal pregnenolone and/or progesterone levels in relation to endometrial and ovarian cancer risks have been infrequently evaluated. To address this, we utilized a sensitive and reliable assay to quantify prediagnostic levels of seven markers related to endogenous hormone metabolism. METHODS Hormones were quantified in baseline serum collected from postmenopausal women in a cohort study nested within the Breast and Bone Follow-up to the Fracture Intervention Trial (B∼FIT). Women using exogenous hormones at baseline (1992-1993) were excluded. Incident endometrial (n = 65) and ovarian (n = 67) cancers were diagnosed during 12 follow-up years and compared with a subcohort of 345 women (no hysterectomy) and 413 women (no oophorectomy), respectively. Cox models with robust variance were used to estimate cancer risk. RESULTS Circulating progesterone levels were not associated with endometrial [tertile (T)3 vs. T1 HR (95% confidence interval): 1.87 (0.85-4.11); P trend = 0.17] or ovarian cancer risk [1.16 (0.58-2.33); 0.73]. Increasing levels of the progesterone-to-estradiol ratio were inversely associated with endometrial cancer risk [T3 vs. T1: 0.29 (0.09-0.95); 0.03]. Increasing levels of 17-hydroxypregnenolone were inversely associated with endometrial cancer risk [0.40 (0.18-0.91); 0.03] and positively associated with ovarian cancer risk [3.11 (1.39-6.93); 0.01]. CONCLUSIONS Using sensitive and reliable assays, this study provides novel data that endogenous progesterone levels are not strongly associated with incident endometrial or ovarian cancer risks. 17-hydroxypregnenolone was positively associated with ovarian cancer and inversely associated with endometrial cancer. IMPACT While our results require replication in large studies, they provide further support of the hormonal etiology of endometrial and ovarian cancers.
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Affiliation(s)
- Britton Trabert
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland. .,Department of Obstetrics and Gynecology, University of Utah, and Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, Utah
| | - Ashley M Geczik
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Doug C Bauer
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.,Department of Medicine, University of California San Francisco, San Francisco, California
| | - Diana S M Buist
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | | | - Trisha F Hue
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - James V Lacey
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California
| | - Andrea Z LaCroix
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California San Diego, San Diego, California
| | - Kara A Michels
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Jeffrey A Tice
- Department of Medicine, University of California San Francisco, San Francisco, California
| | - Xia Xu
- Leidos Biomedical Research, Inc., Frederick, Maryland
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland
| | - Cher M Dallal
- School of Public Health, University of Maryland, College Park, Maryland
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27
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Wu Y, Huang R, Wang M, Bernstein L, Bethea TN, Chen C, Chen Y, Eliassen AH, Freedman ND, Gaudet MM, Gierach GL, Giles GG, Krogh V, Larsson SC, Liao LM, McCullough ML, Miller AB, Milne RL, Monroe KR, Neuhouser ML, Palmer JR, Prizment A, Reynolds P, Robien K, Rohan TE, Sandin S, Sawada N, Sieri S, Sinha R, Stolzenberg-Solomon RZ, Tsugane S, van den Brandt PA, Visvanathan K, Weiderpass E, Wilkens LR, Willett WC, Wolk A, Zeleniuch-Jacquotte A, Ziegler RG, Smith-Warner SA. Dairy foods, calcium, and risk of breast cancer overall and for subtypes defined by estrogen receptor status: a pooled analysis of 21 cohort studies. Am J Clin Nutr 2021; 114:450-461. [PMID: 33964859 PMCID: PMC8326053 DOI: 10.1093/ajcn/nqab097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/05/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Epidemiologic studies examining the relations between dairy product and calcium intakes and breast cancer have been inconclusive, especially for tumor subtypes. OBJECTIVE To evaluate the associations between intakes of specific dairy products and calcium and risk of breast cancer overall and for subtypes defined by estrogen receptor (ER) status. METHOD We pooled the individual-level data of over 1 million women who were followed for a maximum of 8-20 years across studies. Associations were evaluated for dairy product and calcium intakes and risk of incident invasive breast cancer overall (n = 37,861 cases) and by subtypes defined by ER status. Study-specific multivariable hazard ratios (HRs) were estimated and then combined using random-effects models. RESULTS Overall, no clear association was observed between the consumption of specific dairy foods, dietary (from foods only) calcium, and total (from foods and supplements) calcium, and risk of overall breast cancer. Although each dairy product showed a null or very weak inverse association with risk of overall breast cancer (P, test for trend >0.05 for all), differences by ER status were suggested for yogurt and cottage/ricotta cheese with associations observed for ER-negative tumors only (pooled HR = 0.90, 95% CI: 0.83, 0.98 comparing ≥60 g/d with <1 g/d of yogurt and 0.85, 95% CI: 0.76, 0.95 comparing ≥25 g/d with <1 g/d of cottage/ricotta cheese). Dietary calcium intake was only weakly associated with breast cancer risk (pooled HR = 0.98, 95% CI: 0.97, 0.99 per 350 mg/d). CONCLUSION Our study shows that adult dairy or calcium consumption is unlikely to associate with a higher risk of breast cancer and that higher yogurt and cottage/ricotta cheese intakes were inversely associated with the risk of ER-negative breast cancer, a less hormonally dependent subtype with poor prognosis. Future studies on fermented dairy products, earlier life exposures, ER-negative breast cancer, and different racial/ethnic populations may further elucidate the relation.
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Affiliation(s)
- You Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ruyi Huang
- Department of Medical Education, E-DA Hospital and School of Medicine for International Students, School of Medicine, I-SHOU University, Kaohsiung City, Taiwan
- Department of Family Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Traci N Bethea
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Mia M Gaudet
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Vittorio Krogh
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Susanna C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Marjorie L McCullough
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Kristine R Monroe
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Anna Prizment
- Division of Hematology, Oncology and Transplantation, University of Minnesota Medical School, Minneapolis, MN, USA
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, Berkeley, CA, USA
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, WA, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment at Mount Sinai, New York, NY, USA
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sabina Sieri
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Piet A van den Brandt
- Department of Epidemiology, GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
- Department of Epidemiology, Care and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Walter C Willett
- Department of Nutrition, 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
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie A Smith-Warner
- Department of Nutrition, 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
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Xiao Q, Gierach GL, Bauer C, Blot WJ, James P, Jones RR. The Association between Outdoor Artificial Light at Night and Breast Cancer Risk in Black and White Women in the Southern Community Cohort Study. Environ Health Perspect 2021; 129:87701. [PMID: 34379524 PMCID: PMC8357036 DOI: 10.1289/ehp9381] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/29/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Affiliation(s)
- Qian Xiao
- Department of Epidemiology, Human Genetics and Environmental Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Gretchen L. Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Cici Bauer
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Rena R. Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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Jordan SJ, Na R, Weiderpass E, Adami HO, Anderson KE, van den Brandt PA, Brinton LA, Chen C, Cook LS, Doherty JA, Du M, Friedenreich CM, Gierach GL, Goodman MT, Krogh V, Levi F, Lu L, Miller AB, McCann SE, Moysich KB, Negri E, Olson SH, Petruzella S, Palmer JR, Parazzini F, Pike MC, Prizment AE, Rebbeck TR, Reynolds P, Ricceri F, Risch HA, Rohan TE, Sacerdote C, Schouten LJ, Serraino D, Setiawan VW, Shu XO, Sponholtz TR, Spurdle AB, Stolzenberg-Solomon RZ, Trabert B, Wentzensen N, Wilkens LR, Wise LA, Yu H, La Vecchia C, De Vivo I, Xu W, Zeleniuch-Jacquotte A, Webb PM. Pregnancy outcomes and risk of endometrial cancer: A pooled analysis of individual participant data in the Epidemiology of Endometrial Cancer Consortium. Int J Cancer 2021; 148:2068-2078. [PMID: 33105052 PMCID: PMC7969437 DOI: 10.1002/ijc.33360] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/27/2020] [Accepted: 10/01/2020] [Indexed: 12/20/2022]
Abstract
A full-term pregnancy is associated with reduced endometrial cancer risk; however, whether the effect of additional pregnancies is independent of age at last pregnancy is unknown. The associations between other pregnancy-related factors and endometrial cancer risk are less clear. We pooled individual participant data from 11 cohort and 19 case-control studies participating in the Epidemiology of Endometrial Cancer Consortium (E2C2) including 16 986 women with endometrial cancer and 39 538 control women. We used one- and two-stage meta-analytic approaches to estimate pooled odds ratios (ORs) for the association between exposures and endometrial cancer risk. Ever having a full-term pregnancy was associated with a 41% reduction in risk of endometrial cancer compared to never having a full-term pregnancy (OR = 0.59, 95% confidence interval [CI] 0.56-0.63). The risk reduction appeared the greatest for the first full-term pregnancy (OR = 0.78, 95% CI 0.72-0.84), with a further ~15% reduction per pregnancy up to eight pregnancies (OR = 0.20, 95% CI 0.14-0.28) that was independent of age at last full-term pregnancy. Incomplete pregnancy was also associated with decreased endometrial cancer risk (7%-9% reduction per pregnancy). Twin births appeared to have the same effect as singleton pregnancies. Our pooled analysis shows that, while the magnitude of the risk reduction is greater for a full-term pregnancy than an incomplete pregnancy, each additional pregnancy is associated with further reduction in endometrial cancer risk, independent of age at last full-term pregnancy. These results suggest that the very high progesterone level in the last trimester of pregnancy is not the sole explanation for the protective effect of pregnancy.
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Affiliation(s)
- Susan J Jordan
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Renhua Na
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Elisabete Weiderpass
- Director's Office, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Kristin E Anderson
- School of Public Health, Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, Minnesota, USA
- Screening, Prevention, Etiology and Cancer Survivorship Program, University of Minnesota Masonic Cancer Center, Minneapolis, Minnesota, USA
| | - Piet A van den Brandt
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Linda S Cook
- Division of Epidemiology, Biostatistics & Preventive Medicine, Department of Internal Medicine, NM Health Sciences Center, University of New Mexico, University of New Mexico, Albuquerque, New Mexico, USA
| | - Jennifer A Doherty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Calgary, Alberta, Canada
- Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Marc T Goodman
- Cancer Prevention and Control Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Fabio Levi
- Department of Epidemiology and Health Services Research, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Lingeng Lu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Anthony B Miller
- Epidemiology Division, Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Susan E McCann
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Eva Negri
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Stacey Petruzella
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Fabio Parazzini
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
- Department of Obstetrics and Gynaecology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Malcolm C Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anna E Prizment
- Screening, Prevention, Etiology and Cancer Survivorship Program, University of Minnesota Masonic Cancer Center, Minneapolis, Minnesota, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, Minnesota, USA
| | - Timothy R Rebbeck
- Division of Population Science, Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Leo J Schouten
- Department of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Diego Serraino
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico IRCCS, Aviano, Italy
| | - Veronica W Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Todd R Sponholtz
- Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Amanda B Spurdle
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Rachael Z Stolzenberg-Solomon
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Britton Trabert
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Immaculata De Vivo
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wanghong Xu
- Department of Epidemiology, Fudan University School of Public Health, Shanghai, China
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health and Perlmutter Cancer Center, New York University Langone Health, New York, New York, USA
| | - Penelope M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
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Ramin C, Mullooly M, Schonfeld SJ, Advani PG, Bodelon C, Gierach GL, Berrington de González A. Risk factors for contralateral breast cancer in postmenopausal breast cancer survivors in the NIH-AARP Diet and Health Study. Cancer Causes Control 2021; 32:803-813. [PMID: 33877513 DOI: 10.1007/s10552-021-01432-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE The role of established breast cancer risk factors and clinical characteristics of the first breast cancer in the development of contralateral breast cancer (CBC) among postmenopausal women is unclear. METHODS We identified 10,934 postmenopausal women diagnosed with a first primary breast cancer between 1995 and 2011 in the NIH-AARP Diet and Health Study. CBC was defined as a second primary breast cancer diagnosed in the contralateral breast ≥ 3 months after the first breast cancer. Exposures included pre-diagnosis risk factors (lifestyle, reproductive, family history) and clinical characteristics of the first breast cancer. We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Over a median follow-up of 6.8 years, 436 women developed CBC. We observed an increasing trend in CBC risk by age (p-trend = 0.002) and decreasing trend by year of diagnosis (p-trend = 0.001) of the first breast cancer. Additional risk factor associations were most pronounced for endocrine therapy (HR 0.68, 95% CI 0.53-0.87) and family history of breast cancer (HR 1.38, 95% CI 1.06-1.80, restricted to invasive first breast cancer). No associations were found for lifestyle (body mass index, physical activity, smoking, alcohol) or reproductive factors (age at menarche, parity, age at first birth, age at menopause). CONCLUSIONS This study suggests that clinical characteristics of the first breast cancer and family history of breast cancer, but not pre-diagnosis lifestyle and reproductive factors, are strongly associated with CBC risk among postmenopausal women. Future studies are needed to understand how these factors contribute to CBC etiology and to identify further opportunities for prevention.
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Affiliation(s)
- Cody Ramin
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pragati G Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clara Bodelon
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy Berrington de González
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Feigelson HS, Bodelon C, Powers JD, Curtis RE, Buist DSM, Veiga LHS, Bowles EJA, Berrington de Gonzalez A, Gierach GL. Body Mass Index and Risk of Second Cancer Among Women With Breast Cancer. J Natl Cancer Inst 2021; 113:1156-1160. [PMID: 33823007 PMCID: PMC8757319 DOI: 10.1093/jnci/djab053] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/08/2021] [Accepted: 03/23/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Breast cancer survivors are at increased risk for developing second primary cancers compared with the general population. Little is known about whether body mass index (BMI) increases this risk. We examined the association between BMI and second cancers among women with incident invasive breast cancer. METHODS This retrospective cohort included 6481 patients from Kaiser Permanente Colorado and Washington of whom 822 (12.7%) developed a second cancer (mean follow-up was 88.0 months). BMI at the first cancer was extracted from the medical record. Outcomes included: 1) all second cancers, 2) obesity-related second cancers, 3) any second breast cancer, and 4) estrogen receptor-positive second breast cancers. Multivariable Poisson regression models were used to estimate relative risks (RRs) and 95% confidence intervals (CIs) for second cancers associated with BMI adjusted for site, diagnosis year, treatment, demographic, and tumor characteristics. RESULTS The mean age at initial breast cancer diagnosis was 61.2 (SD = 11.8) years. Most cases were overweight (33.4%) or obese (33.8%) and diagnosed at stage I (62.0%). In multivariable models, for every 5 kg/m2 increase in BMI, the risk of any second cancer diagnosis increased by 7% (RR = 1.07, 95% CI = 1.01 to 1.14); 13% (RR = 1.13, 95% CI = 1.05 to 1.21) for obesity-related cancers, 11% (RR = 1.11, 95% CI = 1.02 to 1.21) for a second breast cancer, and 15% (RR = 1.15, 95% CI = 1.04 to 1.27) for a second estrogen receptor-positive breast cancer. CONCLUSIONS We observed a statistically significant increased risk of second cancers associated with increasing BMI. These findings have important public health implications given the prevalence of overweight and obesity in breast cancer survivors and underscore the need for effective prevention strategies.
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Affiliation(s)
- Heather Spencer Feigelson
- Kaiser Permanente Colorado Institute for Health Research, Denver, CO, USA,Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA,Correspondence to: Heather Spencer Feigelson, PhD, MPH, Kaiser Permanente, Institute for Health Research, 2550 S. Parker Rd, Ste 200, Aurora, CO 80014, USA (e-mail: )
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - J David Powers
- Kaiser Permanente Colorado Institute for Health Research, Denver, CO, USA
| | - Rochelle E Curtis
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Diana S M Buist
- Bernard J. Tyson Kaiser Permanente School of Medicine, Pasadena, CA, USA,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Lene H S Veiga
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Figueroa JD, Gierach GL, Duggan MA, Fan S, Pfeiffer RM, Wang Y, Falk RT, Loudig O, Abubakar M, Ginsberg M, Kimes TM, Richert-Boe K, Glass AG, Rohan TE. Risk factors for breast cancer development by tumor characteristics among women with benign breast disease. Breast Cancer Res 2021; 23:34. [PMID: 33736682 PMCID: PMC7977564 DOI: 10.1186/s13058-021-01410-1] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 02/22/2021] [Indexed: 11/23/2022] Open
Abstract
Background Among women diagnosed with invasive breast cancer, 30% have a prior diagnosis of benign breast disease (BBD). Thus, it is important to identify factors among BBD patients that elevate invasive cancer risk. In the general population, risk factors differ in their associations by clinical pathologic features; however, whether women with BBD show etiologic heterogeneity in the types of breast cancers they develop remains unknown. Methods Using a nested case-control study of BBD and breast cancer risk conducted in a community healthcare plan (Kaiser Permanente Northwest), we assessed relationships of histologic features in BBD biopsies and patient characteristics with subsequent breast cancer risk and tested for heterogeneity of associations by estrogen receptor (ER) status, tumor grade, and size. The study included 514 invasive breast cancer cases (median follow-up of 9 years post-BBD diagnosis) and 514 matched controls, diagnosed with proliferative or non-proliferative BBD between 1971 and 2006, with follow-up through mid-2015. Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained using multivariable polytomous logistic regression models. Results Breast cancers were predominantly ER-positive (86%), well or moderately differentiated (73%), small (74% < 20 mm), and stage I/II (91%). Compared to patients with non-proliferative BBD, proliferative BBD with atypia conferred increased risk for ER-positive cancer (OR = 5.48, 95% CI = 2.14–14.01) with only one ER-negative case, P-heterogeneity = 0.45. The presence of columnar cell lesions (CCLs) at BBD diagnosis was associated with a 1.5-fold increase in the risk of both ER-positive and ER-negative tumors, with a 2-fold increase (95% CI = 1.21–3.58) observed among postmenopausal women (56%), independent of proliferative BBD status with and without atypia. We did not identify statistically significant differences in risk factor associations by tumor grade or size. Conclusion Most tumors that developed after a BBD diagnosis in this cohort were highly treatable low-stage ER-positive tumors. CCL in BBD biopsies may be associated with moderately increased risk, independent of BBD histology, and irrespective of ER status. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01410-1.
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Affiliation(s)
- Jonine D Figueroa
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA. .,The Usher Institute, Old Medical School, The University of Edinburgh, Teviot Place, Edinburgh, UK. .,CRUK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK.
| | - Gretchen L Gierach
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Máire A Duggan
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Alberta, Calgary, Canada
| | - Shaoqi Fan
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Ruth M Pfeiffer
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Yihong Wang
- Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Roni T Falk
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Olivier Loudig
- Center for Discovery and Innovation (CDI), Hackensack Meridian Health, Nutley, NJ, USA
| | - Mustapha Abubakar
- National Cancer Institute, National Institutes of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Mindy Ginsberg
- Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, 1300 Morris Park Avenue, Belfer Building, Room 1301, Bronx, NY, 10461, USA
| | - Teresa M Kimes
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | | | - Andrew G Glass
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Thomas E Rohan
- Albert Einstein College of Medicine, Jack and Pearl Resnick Campus, 1300 Morris Park Avenue, Belfer Building, Room 1301, Bronx, NY, 10461, USA.
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Ramin C, Withrow DR, Davis Lynn BC, Gierach GL, Berrington de González A. Risk of contralateral breast cancer according to first breast cancer characteristics among women in the USA, 1992-2016. Breast Cancer Res 2021; 23:24. [PMID: 33596988 PMCID: PMC7890613 DOI: 10.1186/s13058-021-01400-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 08/14/2020] [Accepted: 01/25/2021] [Indexed: 01/11/2023] Open
Abstract
Background Estimates of contralateral breast cancer (CBC) risk in the modern treatment era by year of diagnosis and characteristics of the first breast cancer are needed to assess the impact of recent advances in breast cancer treatment and inform clinical decision making. Methods We examined CBC risk among 419,818 women (age 30–84 years) who were diagnosed with a first unilateral invasive breast cancer and survived ≥ 1 year in the US Surveillance, Epidemiology, and End Results program cancer registries from 1992 to 2015 (follow-up through 2016). CBC was defined as a second invasive breast cancer in the contralateral breast ≥ 12 months after the first breast cancer. We estimated standardized incidence ratios (SIRs) of CBC by year of diagnosis, age at diagnosis, and tumor characteristics for the first breast cancer. Cumulative incidence of CBC was calculated for women diagnosed with a first breast cancer in the recent treatment era (2004–2015, follow-up through 2016). Results Over a median follow-up of 8 years (range 1–25 years), 12,986 breast cancer patients developed CBC. Overall, breast cancer patients had approximately twice the risk of developing cancer in the contralateral breast when compared to that expected in the general population (SIR = 2.21, 95% CI = 2.17–2.25). SIRs for CBC declined by year of first diagnosis, irrespective of age at diagnosis and estrogen receptor (ER) status (p-trends < 0.001), but the strongest decline was after an ER-positive tumor. The 5-year cumulative incidence of CBC ranged from 1.01% (95% CI = 0.90–1.14%) in younger women (age < 50 years) with a first ER-positive tumor to 1.89% (95% CI = 1.61–2.21%) in younger women with a first ER-negative tumor. Conclusion Declines in CBC risk are consistent with continued advances in breast cancer treatment. The updated estimates of cumulative incidence inform breast cancer patients and clinicians on the risk of CBC and may help guide treatment decisions. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01400-3.
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Affiliation(s)
- Cody Ramin
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Diana R Withrow
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brittny C Davis Lynn
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy Berrington de González
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Abubakar M, Fan S, Bowles EA, Widemann L, Duggan MA, Pfeiffer RM, Falk RT, Lawrence S, Richert-Boe K, Glass AG, Kimes TM, Figueroa JD, Rohan TE, Gierach GL. Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk. JNCI Cancer Spectr 2021; 5:pkab015. [PMID: 33981950 PMCID: PMC8103888 DOI: 10.1093/jncics/pkab015] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/09/2020] [Accepted: 02/01/2021] [Indexed: 12/18/2022] Open
Abstract
Background Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge. Methods By applying machine-learning to digitized hematoxylin and eosin-stained biopsies and computer-assisted thresholding to mammograms obtained circa BBD diagnosis, we generated quantitative tissue composition metrics and determined their association with future invasive breast cancer diagnosis. Archival breast biopsies and mammograms were obtained for women (18-86 years of age) in a case-control study, nested within a cohort of 15 395 BBD patients from Kaiser Permanente Northwest (1970-2012), followed through mid-2015. Patients who developed incident invasive breast cancer (ie, cases; n = 514) and those who did not (ie, controls; n = 514) were matched on BBD diagnosis age and plan membership duration. All statistical tests were 2-sided. Results Increasing epithelial area on the BBD biopsy was associated with increasing breast cancer risk (odds ratio [OR]Q4 vs Q1 = 1.85, 95% confidence interval [CI] = 1.13 to 3.04; P trend = .02). Conversely, increasing stroma was associated with decreased risk in nonproliferative, but not proliferative, BBD (P heterogeneity = .002). Increasing epithelium-to-stroma proportion (ORQ4 vs Q1 = 2.06, 95% CI =1.28 to 3.33; P trend = .002) and percent mammographic density (MBD) (ORQ4 vs Q1 = 2.20, 95% CI = 1.20 to 4.03; P trend = .01) were independently and strongly predictive of increased breast cancer risk. In combination, women with high epithelium-to-stroma proportion and high MBD had substantially higher risk than those with low epithelium-to-stroma proportion and low MBD (OR = 2.27, 95% CI = 1.27 to 4.06; P trend = .005), particularly among women with nonproliferative (P trend = .01) vs proliferative (P trend = .33) BBD. Conclusion Among BBD patients, increasing epithelium-to-stroma proportion on BBD biopsies and percent MBD at BBD diagnosis were independently and jointly associated with increasing breast cancer risk. These findings were particularly striking for women with nonproliferative disease (comprising approximately 70% of all BBD patients), for whom relevant predictive biomarkers are lacking.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
- Correspondence to: Mustapha Abubakar, MD, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Rockville, MD, USA (e-mail: )
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Erin Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Lea Widemann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Máire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Scott Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc, Frederick, MD, USA
| | | | - Andrew G Glass
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Teresa M Kimes
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Jonine D Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
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Tuan AW, Davis Lynn BC, Chernyavskiy P, Yu M, Gomez SL, Gierach GL, Rosenberg PS. Breast Cancer Incidence Trends by Estrogen Receptor Status Among Asian American Ethnic Groups, 1990-2014. JNCI Cancer Spectr 2021; 4:pkaa005. [PMID: 33392441 DOI: 10.1093/jncics/pkaa005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/06/2020] [Accepted: 01/28/2020] [Indexed: 12/22/2022] Open
Abstract
Background Westernization and etiologic heterogeneity may play a role in the rising breast cancer incidence in Asian American (AA) women. We report breast cancer incidence in Asian-origin populations. Methods Using a specialized Surveillance, Epidemiology, and End Results-9 Plus API Database (1990-2014), we analyzed breast cancer incidence overall, by estrogen receptor (ER) status, and age group among non-Hispanic white (NHW) and AA women. We used age-period-cohort models to assess time trends and quantify heterogeneity by ER status, race and ethnicity, and age. Results Overall, breast cancer incidence increased for most AA ethnicities (Filipina: estimated annual percentage change [EAPC] = 0.96%/year, 95% confidence interval [CI] = 0.61% to 1.32%; South Asian: EAPC = 1.68%/year, 95% CI = 0.24% to 3.13%; Chinese: EAPC = 0.65%/year, 95% CI = 0.03% to 1.27%; Korean: EAPC = 2.55%/year, 95% CI = 0.13% to 5.02%; and Vietnamese women: EAPC = 0.88%/year, 95% CI = 0.37% to 1.38%); rates did not change for NHW (EAPC = -0.2%/year, 95% CI = -0.73% to 0.33%) or Japanese women (EAPC = 0.22%/year, 95% CI = -1.26% to 1.72%). For most AA ethnicities, ER-positive rates statistically significantly increased, whereas ER-negative rates statistically significantly decreased. Among older women, ER-positive rates were stable for NHW and Japanese women. ER-negative rates decreased fastest in NHW and Japanese women among both age groups. Conclusions Increasing ER-positive incidence is driving an increase overall for most AA women despite declining ER-negative incidence. The similar trends in NHW and Japanese women (vs other AA ethnic groups) highlight the need to better understand the influences of westernization and other etiologic factors on breast cancer incidence patterns in AA women. Heterogeneous trends among AA ethnicities underscore the importance of disaggregating AA data and studying how breast cancer differentially affects the growing populations of diverse AA ethnic groups.
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Affiliation(s)
- Alyssa W Tuan
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Brittny C Davis Lynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Pavel Chernyavskiy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA.,Department of Mathematics and Statistics, University of Wyoming, Laramie, WY, USA
| | - Mandi Yu
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Scarlett L Gomez
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
| | - Philip S Rosenberg
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA
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Jia M, Wu Z, Vogtmann E, O'Brien KM, Weinberg CR, Sandler DP, Gierach GL. The Association Between Periodontal Disease and Breast Cancer in a Prospective Cohort Study. Cancer Prev Res (Phila) 2020; 13:1007-1016. [PMID: 32727823 PMCID: PMC7718282 DOI: 10.1158/1940-6207.capr-20-0018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 01/08/2020] [Revised: 05/27/2020] [Accepted: 07/22/2020] [Indexed: 12/21/2022]
Abstract
Periodontal disease may be associated with increased breast cancer risk, but studies have not considered invasive breast cancer and ductal carcinoma in situ (DCIS) separately in the same population. We assessed the relationship between periodontal disease and breast cancer in a large prospective cohort study. The Sister Study followed women without prior breast cancer ages 35 to 74 years from 2003 to 2017 (N = 49,968). Baseline periodontal disease was self-reported, and incident breast cancer was ascertained over a mean follow-up of 9.3 years. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards regression, adjusting for multiple potential confounders, including smoking status. Heterogeneity in risk for invasive breast cancer versus DCIS was also estimated. About 22% of participants reported a history of periodontal disease at baseline. A total of 3,339 incident breast cancers (2,607 invasive breast cancer, 732 DCIS) were identified. There was no clear association between periodontal disease and overall breast cancer risk (HR = 1.02; 95% CI, 0.94-1.11). However, we observed a nonstatistically significant suggestive increased risk of invasive breast cancer (HR = 1.07; 95% CI, 0.97-1.17) and decreased risk of DCIS (HR = 0.86; 95% CI, 0.72-1.04) associated with periodontal disease, with evidence for heterogeneity in the risk associations (relative HR for invasive breast cancer versus DCIS = 1.24; 95% CI, 1.01-1.52). A case-only analysis for etiologic heterogeneity confirmed this difference. We observed no clear association between periodontal disease and overall breast cancer risk. The heterogeneity in risk associations for invasive breast cancer versus DCIS warrants further exploration.
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Affiliation(s)
- Mengmeng Jia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zeni Wu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Emily Vogtmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
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Wang SM, Pfeiffer RM, Gierach GL, Falk RT. Use of postmenopausal hormone therapies and risk of histology- and hormone receptor-defined breast cancer: results from a 15-year prospective analysis of NIH-AARP cohort. Breast Cancer Res 2020; 22:129. [PMID: 33239054 PMCID: PMC7687781 DOI: 10.1186/s13058-020-01365-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 06/12/2020] [Accepted: 11/01/2020] [Indexed: 11/10/2022] Open
Abstract
Background Menopausal hormone therapy (MHT) increases breast cancer (BC) risk, but cohort studies largely consider use only at enrollment. Evidence is limited on how changes in MHT use alter the magnitude of risk, and whether risk varies between invasive and in situ cancer, by histology or by hormone receptor status. Methods We investigated the roles of estrogen-alone therapy (ET) and estrogen plus progestin therapy (EPT) on BC risk overall, by histology and estrogen receptor (ER) and progesterone receptor (PR) status, and on incidence of in situ disease, in the NIH-AARP cohort. Participants included 118,760 postmenopausal women (50–71 years), of whom 63.5% (n = 75,398) provided MHT use information at baseline in 1996 and in a follow-up survey in 2004, subsequent to the dissemination in 2002 of the Women’s Health Initiative trial safety concerns regarding EPT. ET analyses included 50,476 women with hysterectomy (31,439 with follow-up data); EPT analyses included 68,284 women with intact uteri (43,959 with follow-up data). Adjusted hazard ratios (HRs) were estimated using Cox proportional hazards models using age as the time metric with follow-up through 2011. Results Eight thousand three hundred thirty-three incident BC cases were accrued, 2479 in women with follow-up data. BC risk was not elevated in current ET users at baseline (HR = 1.05, 95% confidence interval [CI] CI = 0.95–1.16) but was higher in women continuing use through 2004 (HR = 1.35, 95% CI = 1.04–1.75). Ever EPT use at baseline was associated with elevated BC risk overall (HR = 1.54 (1.44–1.64), with a doubling in risk for women with 10 or more years of use, for in situ disease, and across subtypes defined by histology and ER/PR status (all p < 0.004). Risk persisted in women who continued EPT through 2004 (HR = 1.80, 95% CI = 1.39–2.32). In contrast, no association was seen in women who discontinued EPT before 2004 (HR = 1.14, 95% CI = 0.99–1.30). Conclusions ET use was not associated with BC risk in this cohort, although excess risk was suggested in women who continued use through 2004. EPT use was linked to elevated in situ and invasive BC risk, and elevated risk across invasive BC histologic and hormone receptor-defined subtypes, with the highest risk for women who continued use through the 2004 follow-up survey. Supplementary information The online version contains supplementary material available at 10.1186/s13058-020-01365-9.
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Affiliation(s)
- Shao-Ming Wang
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. rm 6E344, Bethesda, MD, 20892-9768, USA
| | - Ruth M Pfeiffer
- Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Roni T Falk
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr. rm 6E344, Bethesda, MD, 20892-9768, USA.
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Niehoff NM, Keil AP, Jones RR, Fan S, Gierach GL, White AJ. Outdoor air pollution and terminal duct lobular involution of the normal breast. Breast Cancer Res 2020; 22:100. [PMID: 32972455 PMCID: PMC7513536 DOI: 10.1186/s13058-020-01339-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 09/07/2020] [Indexed: 11/10/2022] Open
Abstract
Background Exposure to certain outdoor air pollutants may be associated with a higher risk of breast cancer, though potential underlying mechanisms are poorly understood. We examined whether outdoor air pollution was associated with involution of terminal duct lobular units (TDLUs), the histologic site where most cancers arise and an intermediate marker of breast cancer risk. Methods Pathologist-enumerated TDLUs were assessed in H&E (hematoxylin and eosin)-stained breast tissue sections from 1904 US women ages 18–75 who donated to the Susan G. Komen Tissue Bank (2009–2012). The 2009 annual fine particulate matter < 2.5 μm in diameter (PM2.5) total mass (μg/m3) at each woman’s residential address was estimated from the Environmental Protection Agency’s Downscaler Model combining Community Multiscale Air Quality (CMAQ) System modeling with air quality monitoring data. We secondarily considered CMAQ-modeled components of PM2.5 and gaseous pollutants. We used K-means clustering to identify groups of individuals with similar levels of PM2.5 components, selecting groups via cluster stability analysis. Relative rates (RRs) and 95% confidence intervals (95% CIs) for the association between air pollutants and TDLU counts were estimated from a zero-inflated negative binomial regression model adjusted for potential confounders. Results PM2.5 total mass was associated with higher TDLU counts among all women (interquartile range (IQR) increase, RR = 1.06; 95% CI: 1.01–1.11). This association was evident among both premenopausal and postmenopausal women (premenopausal RR = 1.05, 95% CI: 1.00–1.11; postmenopausal RR = 1.11, 95% CI: 1.00–1.23). We identified 3 groups corresponding to clusters that varied geographically and roughly represented high, medium, and low levels of PM2.5 components relative to population mean levels. Compared to the cluster with low levels, the clusters with both high (RR = 1.74; 95% CI: 1.08–2.80) and medium (RR = 1.82; 95% CI: 1.13–2.93) levels were associated with higher TDLU counts; although not significantly different, the magnitude of the associations was stronger among postmenopausal women. Conclusions Higher PM2.5 levels were associated with reduced TDLU involution as measured by TDLU counts. Air pollution exposure may influence the histologic characteristics of normal tissue which could in turn affect breast cancer risk.
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Affiliation(s)
- Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Drive, Research Triangle Park, NC, 27709, USA.
| | - Alexander P Keil
- Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Drive, Research Triangle Park, NC, 27709, USA.,Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Shaoqi Fan
- Integrative Tumor Biology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gretchen L Gierach
- Integrative Tumor Biology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Drive, Research Triangle Park, NC, 27709, USA
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Bodelon C, Oh H, Derkach A, Sampson JN, Sprague BL, Vacek P, Weaver DL, Fan S, Palakal M, Papathomas D, Xiang J, Patel DA, Linville L, Clare SE, Visscher DW, Mies C, Hewitt SM, Brinton LA, Storniolo AMV, He C, Chanock SJ, Garcia-Closas M, Gierach GL, Figueroa JD. Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast. NPJ Breast Cancer 2020; 6:41. [PMID: 32964115 PMCID: PMC7477555 DOI: 10.1038/s41523-020-00184-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 08/06/2020] [Indexed: 12/26/2022] Open
Abstract
Terminal duct lobular units (TDLUs) are the predominant anatomical structures where breast cancers originate. Having lesser degrees of age-related TDLU involution, measured as higher TDLUs counts or more epithelial TDLU substructures (acini), is related to increased breast cancer risk among women with benign breast disease (BBD). We evaluated whether a recently developed polygenic risk score (PRS) based on 313-common variants for breast cancer prediction is related to TDLU involution in the background, normal breast tissue, as this could provide mechanistic clues on the genetic predisposition to breast cancer. Among 1398 women without breast cancer, higher values of the PRS were significantly associated with higher TDLU counts (P = 0.004), but not with acini counts (P = 0.808), in histologically normal tissue samples from donors and diagnostic BBD biopsies. Mediation analysis indicated that TDLU counts may explain a modest proportion (≤10%) of the association of the 313-variant PRS with breast cancer risk. These findings suggest that TDLU involution might be an intermediate step in the association between common genetic variation and breast cancer risk.
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Affiliation(s)
- Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Hannah Oh
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
- Division of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Korea
| | - Andriy Derkach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Brian L. Sprague
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT USA
| | - Pamela 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
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Maya Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Daphne Papathomas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Jackie Xiang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Deesha A. Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Laura Linville
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Susan E. Clare
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Daniel W. Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Carolyn Mies
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Stephen M. Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD USA
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Anna Maria V. Storniolo
- Susan G. Komen Tissue Bank at the Indiana University Simon Cancer Center, Indianapolis, IN USA
| | - Chunyan He
- Department Internal Medicine, Division of Medical Oncology, College of Medicine, University of Kentucky, Lexington, KY USA
- Markey Cancer Center, University of Kentucky, Lexington, KY USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | | | - Gretchen L. Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
- Usher Institute of Population Health Sciences and Informatics and Cancer Research UK Edinburgh Centre, University of Edinburgh, Edinburgh, UK
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Mullooly M, Fan S, Pfeiffer RM, Sprague B, Vacek PM, Weaver DL, Shepherd JA, Mahmoudzadeh AP, Wang J, Malkov S, Johnson JM, Herschorn SD, Gierach GL. Abstract NG15: Investigation of relationships between breast cancer risk factors and bilateral mammographic breast density asymmetry among women undergoing diagnostic image-guided breast biopsies. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ng15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: The etiology of breast cancer remains an area of ongoing investigation. Improving our understanding of factors associated with breast cancer development will strengthen the utility of risk prediction strategies and improve risk stratification. Mammographic breast density remains one of the most influential breast cancer risk factors, with 4 to 6 fold elevated risk observed among women with the highest compared to the lowest levels. These associations have consistently been observed irrespective of the method (visual or automated), used to quantify breast density, showing the robustness of the associations. An understudied breast cancer risk factor is the bilateral asymmetry of mammographic features, with prior studies suggesting that women with higher levels of breast asymmetry may be at elevated breast cancer risk. Increasingly, studies are recognizing the potential of bilateral breast asymmetry defined by mammographic breast density in determining breast cancer risk. Recently, Eriksson and colleagues highlighted a strong influence of breast asymmetry within a model they developed to predict short-term breast cancer risk among women attending breast screening. They observed that the contribution to the model of asymmetry in mammographic breast density, microcalcifications, and masses between the breasts was as substantial as the total number of microcalcifications and masses found within a mammogram, indicating that differences between the breasts may be an important risk marker. To help further understand associations between breast cancer risk factors and asymmetry of breast density, particularly among women at elevated risk for breast cancer, we evaluated risk factor relationships with the bilateral asymmetry of volumetric measures of global and local breast density across the spectrum of premalignant and invasive breast cancer diagnoses. Methods: This study included 882 women enrolled as part of the National Cancer Institute's Breast Radiology Evaluation and Study of Tissues (BREAST)-Stamp Project (2007-2010). The BREAST-Stamp Project is a cross-sectional molecular epidemiologic study that aims to understand how novel breast density measures are related to breast cancer etiology. Women were enrolled if they were referred for diagnostic image-guided breast biopsy following an abnormal mammogram at the University of Vermont Medical Center, and had not previously been diagnosed or treated for cancer, undergone breast surgery within one year or received chemoprevention. Risk factor data were collected at study enrolment via interview and self-administered questionnaires. Breast density measures were estimated using Single X-ray Absorptiometry (SXA), a technique in which an SXA breast density phantom was affixed to the compression paddle of the mammography machine during routine mammography so that it was included in the X-ray field. It served as a reference standard to estimate volumetric breast density. Breast density was assessed using pre-biopsy craniocaudal full-field digital mammograms of both the ipsilateral (affected) and contralateral (unaffected) breast. Firstly, global density from each laterality was determined as percent fibroglandular volume (%FGV). Secondly, localized volumetric density measures were estimated following identification of the biopsy site on the ipsilateral pre-biopsy mammogram by the study radiologist and identifying the corresponding site on the contralateral mammogram. The SXA estimated %FGV in a perilesional volume twice the size of, but excluding, the biopsy target, centered at the biopsy site. Previous estimates of reproducibility for the SXA test phantoms demonstrated a repeatability SD of 2%, with a ±2% accuracy for the entire thickness and density ranges. Breast density asymmetry was defined as an absolute bilateral difference in measures when subtracting the breast density measures of the contralateral breast from the ipsilateral measures. Spearman's correlations (rho) examined associations between breast density measures of the left and right breasts. To determine relationships between breast cancer risk factors (defined as categorical variables) and measures of bilateral breast density asymmetry, analysis of covariance (ANCOVA) models (PROC GLM) were used. Analyses were conducted at the per woman level using SAS. Probability values of <0.05 were considered statistically significant, and all tests were two-tailed. Results:We initially investigated asymmetry within each woman by examining correlations between breast density measures in the left and right breasts. Strong, positive correlations between the ipsilateral and contralateral breast were observed for each breast density measure (rho for global %FGV=0.89, p-value<0.0001; rho for local %FGV=0.79, p-value<0.0001). Breast asymmetry was observed in the majority of the study population. For global %FGV, 76% of women had a bilateral difference ≥2%, with 43% of women having higher %FGV in their ipsilateral affected breast and 33% having higher in their contralateral unaffected breast. For localized %FGV, the majority of women had differences between their two breasts (89%), with 61% of women having higher localized %FGV in their ipsilateral affected breast compared to the remaining 28% who had higher localized breast density in their unaffected breast. We next examined relationships between breast cancer risk factors and breast asymmetry. Overall, no associations were observed between any of the risk factors examined, including age, race, body mass index, education, menopausal status, menopausal hormone therapy use with absolute bilateral differences in global or localized %FGV. Among the study population, most women had a benign breast disease diagnosis, with 33% and 43% being diagnosed with benign non-proliferative and benign proliferative lesions, respectively. Of the study population, 15% were diagnosed with invasive breast cancer. Overall, no differences were observed in bilateral differences in global %FGV according to diagnosis; however, higher mean bilateral differences in localized %FGV were observed for women with invasive compared to other diagnoses including benign and in-situ lesions (p=0.056). Discussion and conclusions: Our findings showed that breast asymmetry, defined by bilateral differences in global and localized mammographic breast density, was mostly unrelated to breast cancer risk factors among women undergoing an image guided breast biopsy. We observed that localized measures, defined according to within-woman bilateral differences in localized %FGV surrounding a suspicious lesion as compared with localized %FVG in a comparable location in the contralateral breast, may be an indication of cancer. This investigation is currently ongoing and efforts are underway to replicate findings using evolving image analysis methods such as Volpara Density Maps, an FDA-approved breast imaging tool which provides volumetric estimates of local glandular tissue distribution. Further, the ascertainment of 10-year follow-up data within this study population is in progress, which will facilitate prospective investigations of the relationship between breast asymmetry and breast cancer risk. Ongoing work will also extend our understanding of whether breast asymmetry is related to individualized breast cancer risk, defined using tailored breast cancer risk assessment tools. In conclusion, further understanding of breast asymmetry is needed to better exploit how bilateral differences in mammographic features may be used to inform breast cancer etiology as well as future breast cancer risk.
Citation Format: Maeve Mullooly, Shaoqi Fan, Ruth M. Pfeiffer, Brian Sprague, Pamela M. Vacek, Donald L. Weaver, John A. Shepherd, Amir Pasha Mahmoudzadeh, Jeff Wang, Serghei Malkov, Jason M. Johnson, Sally D. Herschorn, Gretchen L. Gierach. Investigation of relationships between breast cancer risk factors and bilateral mammographic breast density asymmetry among women undergoing diagnostic image-guided breast biopsies [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr NG15.
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Affiliation(s)
- Maeve Mullooly
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shaoqi Fan
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ruth M. Pfeiffer
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Brian Sprague
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Pamela M. Vacek
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Donald L. Weaver
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John A. Shepherd
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amir Pasha Mahmoudzadeh
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jeff Wang
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Serghei Malkov
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jason M. Johnson
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sally D. Herschorn
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gretchen L. Gierach
- Royal College of Surgeons in Ireland, Dublin, Ireland, National Cancer Institute, Rockville, MD, University of Vermont Medical Center, Burlington, VT, University of Hawaii Cancer Center, Honolulu, HI, University of California, San Francisco, San Francisco, CA, Hokkaido University Graduate School of Medicine, Sapporo, Japan, The University of Texas MD Anderson Cancer Center, Houston, TX
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Ramin C, Pfeiffer R, Fan S, Mullooly M, Falk RT, Sak MA, Simon MS, Gorski DH, Ali H, Littrup P, Duric N, Sherman ME, Gierach GL. Abstract 5805: Treatment-associated endocrine symptoms and change in ultrasound tomography measures of breast density after tamoxifen therapy. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-5805] [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: Tamoxifen therapy has been shown to have greater therapeutic benefit among women whose breast density declines subsequent to treatment than among women whose density does not decline. Although limited data suggests that endocrine symptoms after tamoxifen initiation may be associated with improved breast cancer outcomes, it is unknown whether these symptoms are associated with reductions in breast density. We therefore evaluated endocrine symptoms and change in breast density in a 12-month longitudinal study of women undergoing tamoxifen therapy for clinical indications.
Methods: Cohort members (N=74) were aged 30-74 years in the Ultrasound Study of Tamoxifen at Karmanos Cancer Institute and Henry Ford Health Systems (Detroit, MI). Endocrine symptoms and breast density were both assessed prior to tamoxifen initiation (T0) and at 1-3 months (T1), 4-6 months (T2), and approximately 12 months (T3) post-tamoxifen initiation. Treatment-associated endocrine symptoms included treatment-emergent or increasing vasomotor and/or joint symptoms. Endocrine symptom severity was also assessed with a Likert scale for symptom frequency and categorized as no symptoms (score=0), low/moderate symptoms (score=1-5), and high symptoms (score=6+). Sound speed (m/s), a surrogate of volumetric breast density, was measured with whole breast ultrasound tomography. Change in breast density was calculated as density at T1-T3 minus density at T0. We used multivariable linear regression to estimate mean change in density by endocrine symptoms adjusting for age, race, menopausal status, body mass index, and baseline sound speed. Generalized estimating equations were used to account for within-subject correlations over time.
Results: Women with treatment-associated endocrine symptoms had an overall greater mean reduction in breast density compared with women without symptoms (mean change [95% CI]: -1.97 m/s [-3.80, -0.13]; -0.27 m/s [- 3.50, 2.95], respectively; p=0.22). Longitudinal trends in breast density significantly differed for women with versus without treatment-associated endocrine symptoms (p-interaction=0.02). Significant declines in breast density over time were observed among women with treatment-associated endocrine symptoms (p-trend=0.005), but not among women without symptoms (p-trend=0.16). Similar trends in breast density decline were observed among women with higher symptom severity (p-trends for no symptoms=0.53; low/moderate symptoms=0.04; high symptoms=0.008).
Conclusions: These findings suggest that treatment-associated endocrine symptoms may be associated with a significant decline in breast density after tamoxifen initiation. Further studies are needed to assess whether these observations can predict clinical outcome, and if confirmed, both treatment-associated endocrine symptoms and observed reductions in breast density may be useful for patients and providers to improve adherence.
Citation Format: Cody Ramin, Ruth Pfeiffer, Shaoqi Fan, Maeve Mullooly, Roni T. Falk, Mark A. Sak, Michael S. Simon, David H. Gorski, Haythem Ali, Peter Littrup, Nebojsa Duric, Mark E. Sherman, Gretchen L. Gierach. Treatment-associated endocrine symptoms and change in ultrasound tomography measures of breast density after tamoxifen therapy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5805.
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Affiliation(s)
- Cody Ramin
- 1National Cancer Institute, Bethesda, MD
| | | | - Shaoqi Fan
- 1National Cancer Institute, Bethesda, MD
| | | | | | - Mark A. Sak
- 3Delphinus Medical Technologies, Inc, Novi, MI
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Fan S, Pfeiffer RM, Hada M, Falk RT, Mullooly M, Oh H, Geller B, Vacek P, Weave D, Shepherd J, Wang J, Herschorn S, Brinton LA, Xu X, Sherman ME, Trabert B, Gierach GL. Abstract 3488: Associations of circulating hormones with mammographic density in postmenopausal women referred to diagnostic breast biopsy. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-3488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction Elevated mammographic density (MD) is a strong and independent risk factor for breast cancer, though underlying mechanisms are unclear. Prior studies have suggested that increased cumulative exposure to sex-steroid hormones and growth factors may impact both MD and MD-related breast cancer risk; however, most studies have only evaluated individual hormones. In this study, we simultaneously explored the relationship between 29 circulating hormones and growth factors with MD among postmenopausal women undergoing diagnostic breast biopsy.
Methods We used data from 89 postmenopausal women, aged 44-65, who had complete measurements of 29 serum hormones from a single pre-biopsy blood draw (i.e., sex-steroid hormones: 15 estrogen/estrogen metabolites, 7 progesterone/progesterone metabolites; and non-sex hormones: insulin-like growth factor I and binding proteins (IGFBPs) 2-7). Volumetric MD (% fibroglandular volume) was assessed in pre-biopsy digital mammograms using single X-ray absorptiometry. Sufficient dimension reduction methods were used to compute a composite marker score that accommodates correlations among hormones and their relationship to MD. Backward elimination was applied to select log-transformed hormones contributing to the score at α=0.05; multivariable linear regression was used to further examine associations between selected hormones and MD within a single model, adjusting for age and BMI.
Results Pearson correlations between hormones were moderate-to-strong. Dimension reduction methods identified 6 hormones as associated with MD (p<0.05): estradiol, 2-hydroxyestradiol, 2-methoxyestrone, 16-ketoestradiol, IGFBP-2, and 17α-hydroxyprogesterone, in models that considered MD as either continuous or dichotomous (>median vs. ≤median); BMI was consistently identified as the most significant predictor of MD (P <0.0001). In a multivariable linear regression model that included these 6 hormones, in addition to age and BMI, higher levels of 2-methoxyestrone, IGFBP-2, and 17α-hydroxyprogesterone were significantly associated with increased MD, whereas higher levels of age and BMI were significantly associated with lower MD.
Conclusions We identified 6 out of 29 correlated hormones that were significantly associated with MD among postmenopausal women. For several, the directions of their associations with MD were comparable to those observed in prior studies that have separately evaluated these hormones in relation to breast cancer risk. We plan to further explore how circulating hormones concurrently affect MD in premenopausal women, accounting for menstrual cycle phase. Incorporation of dimension reduction methods in studies of multiple correlated hormones can help uncover new etiologic insights into the role of hormones and growth factors in MD and breast carcinogenesis and inform strategies for prevention.
Citation Format: Shaoqi Fan, Ruth M. Pfeiffer, Manila Hada, Roni T. Falk, Maeve Mullooly, Hannah Oh, Berta Geller, Pamela Vacek, Donald Weave, John Shepherd, Jeff Wang, Sally Herschorn, Louise A. Brinton, Xia Xu, Mark E. Sherman, Britton Trabert, Gretchen L. Gierach. Associations of circulating hormones with mammographic density in postmenopausal women referred to diagnostic breast biopsy [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3488.
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Affiliation(s)
- Shaoqi Fan
- 1National Cancer Institute, Rockville, MD
| | | | - Manila Hada
- 2U.S. Food and Drug Administration, Rockville, MD
| | | | | | - Hannah Oh
- 4Korea University, Seoul, Republic of Korea
| | - Berta Geller
- 5University of Vermont and Vermont Cancer Center, Burlington, VT
| | - Pamela Vacek
- 5University of Vermont and Vermont Cancer Center, Burlington, VT
| | - Donald Weave
- 5University of Vermont and Vermont Cancer Center, Burlington, VT
| | | | - Jeff Wang
- 7Hokkaido University, Sapporo, Japan
| | - Sally Herschorn
- 5University of Vermont and Vermont Cancer Center, Burlington, VT
| | | | - Xia Xu
- 8Frederick National Laboratory for Cancer Research, Frederick, MD
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Schairer C, Laurent CA, Moy LM, Gierach GL, Caporaso NE, Pfeiffer RM, Kushi LH. Obesity and related conditions and risk of inflammatory breast cancer: a nested case-control study. Breast Cancer Res Treat 2020; 183:467-478. [PMID: 32691376 DOI: 10.1007/s10549-020-05785-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 07/02/2020] [Indexed: 01/06/2023]
Abstract
PURPOSE Inflammatory breast cancer (IBC) is a rare, poorly understood and aggressive tumor. We extended prior findings linking high body mass index (BMI) to substantial increased IBC risk by examining BMI associations before and after adjustment for well-characterized comorbidities using medical record data for diabetes, insulin resistance, and disturbances of cholesterol metabolism in a general community healthcare setting. METHODS We identified 247 incident IBC cases diagnosed at Kaiser Permanente Northern California between 2005 and 2017 and 2470 controls matched 10:1 on birth year and geographic area and with ≥ 13 months of continuous enrollment prior to diagnosis/index date. We assessed exposures from 6 years up to one year prior to the diagnosis/index date, using logistic regression to calculate odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS Before adjustment for comorbidities, ORs (95% CIs) for BMI of 25-< 30, 30-< 35, and ≥ 35 compared to < 25 kg/m2 were 1.5 (0.9-2.3), 2.0 (1.2-3.1), and 2.5 (1.4-4.4), respectively. After adjustment for pre-diabetes/diabetes, HDL-C and triglyceride levels, and dyslipidemia, corresponding ORs were 1.3 (0.8-2.1), 1.6 (0.9-2.9), and 1.9 (1.0-3.5). The OR for HDL-C levels < 50 mg/dL compared to ≥ 65 mg/dL was 2.0 (1.2-3.3) in the adjusted model. In a separate model the OR for a triglyceride/HDL-C ratio ≥ 2.50 compared to < 1.62 was 1.7 (1.1-2.8) after adjustment for BMI, pre-diabetes/diabetes, and dyslipidemia. Results did not differ significantly by estrogen receptor status. CONCLUSIONS Obesity and measures of insulin resistance independently increased IBC risk as did obesity and low HDL-C levels. These findings, if confirmed, have implications for IBC prevention.
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Affiliation(s)
- Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm 7E142, Bethesda, MD, 20892, USA
| | - Cecile A Laurent
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lisa M Moy
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm 7E142, Bethesda, MD, 20892, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm 7E142, Bethesda, MD, 20892, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rm 7E142, Bethesda, MD, 20892, USA.
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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Lynn BCD, Cora R, Pfeiffer RM, Bethea TN, Zirpoli G, Palmer JR, Gierach GL. Abstract A080: Associations between quantitative measures of TDLU involution and breast tumor molecular subtypes among breast cancer cases in the Black Women’s Health Study. Cancer Epidemiol Biomarkers Prev 2020. [DOI: 10.1158/1538-7755.disp19-a080] [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] Open
Abstract
Abstract
Background: Terminal duct lobular units (TDLUs) are the structures in the breast that give rise to most breast cancers. Previous work has shown that TDLU involution is inversely associated with TDLU metrics, such as TDLU count/100mm2, TDLU span (μm), and number of acini/TDLU, and that these metrics may be elevated in the background normal breast tissue of women diagnosed with triple-negative (TN) compared with luminal A breast tumors. However, it is unknown if this relationship exists in black women, who have the highest incidence of TN breast cancer as well as the highest overall breast cancer mortality rate. We sought to determine the relationships of quantitative measures of TDLU involution with breast cancer molecular subtype among participants in the Black Women’s Health Study. Methods: We digitized hematoxylin and eosin stained normal adjacent tissues from TN (estrogen receptor negative (ER), progesterone receptor negative, and human epidermal growth factor 2 (HER2) negative; n=67) and luminal A (ER positive and HER2 negative; n=162) breast cancer cases from the Black Women’s Health Study. We used logistic regression to evaluate associations between TDLU metrics and breast cancer subtype (TN vs. luminal A), with adjustment for age and body mass index. We performed ordinal logistic regression to evaluate relationships between population and clinical characteristics and TDLU metrics. Results: Among the 229 breast cancer cases, mean age at diagnosis was 53.7 years; 68.7% of TN and 54.3% of luminal A cases were under 55 years of age. Most women had a body mass index (BMI) >30kg/m2, were parous, did not smoke, and did not have a family history of breast cancer. The odds of TN breast cancer were elevated for the second and third tertiles of TDLU count relative to the first tertile, with odds ratios (95% confidence interval) of 2.89 (1.11, 4.86) and 1.92 (0.93, 4.08), respectively. Similarly, the odds of TN breast cancer increased with increasing tertiles of median TDLU span, with odds ratios of 2.25 (1.06, 4.91) and 2.38 (1.14, 5.15) for the second and third tertiles, respectively, compared to the first tertile. These associations persisted even after adjustment for age and BMI. No association was observed with median acini count/TDLU and TN breast cancer. We also observed significant associations of some breast cancer risk factors with measures of TDLU involution. Higher TDLU count was associated with younger age, more physical activity, lower BMI, current use of oral contraceptives or menopausal hormones, and premenopausal status. Conclusion: The associations of TDLU metrics with breast cancer subtype observed in this population of black women are consistent with previous studies of white and Asian women, with reduced TDLU involution in TN breast cancers compared with luminal A. Further investigation is needed to understand the factors that influence TDLU involution and the mechanisms that mediate TDLU involution and breast cancer subtype.
Citation Format: Brittny C Davis Lynn, Renata Cora, Ruth M Pfeiffer, Traci N Bethea, Gary Zirpoli, Julie R Palmer, Gretchen L Gierach. Associations between quantitative measures of TDLU involution and breast tumor molecular subtypes among breast cancer cases in the Black Women’s Health Study [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A080.
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Trabert B, Bauer DC, Buist DSM, Cauley JA, Falk RT, Geczik AM, Gierach GL, Hada M, Hue TF, Lacey JV, LaCroix AZ, Tice JA, Xu X, Dallal CM, Brinton LA. Association of Circulating Progesterone With Breast Cancer Risk Among Postmenopausal Women. JAMA Netw Open 2020; 3:e203645. [PMID: 32329771 PMCID: PMC7182797 DOI: 10.1001/jamanetworkopen.2020.3645] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE The role of endogenous progesterone in the development of breast cancer remains largely unexplored to date, primarily owing to assay sensitivity limitations and low progesterone concentrations in postmenopausal women. Recently identified progesterone metabolites may provide insights as experimental data suggest that 5α-dihydroprogesterone (5αP) concentrations reflect cancer-promoting properties and 3α-dihydroprogesterone (3αHP) concentrations reflect cancer-inhibiting properties. OBJECTIVE To evaluate the association between circulating progesterone and progesterone metabolite levels and breast cancer risk. DESIGN, SETTING, AND PARTICIPANTS Using a sensitive liquid chromatography-tandem mass spectrometry assay, prediagnostic serum levels of progesterone and progesterone metabolites were quantified in a case-cohort study nested within the Breast and Bone Follow-up to the Fracture Intervention Trial (n = 15 595). Participation was limited to women not receiving exogenous hormone therapy at the time of blood sampling (1992-1993). Incident breast cancer cases (n = 405) were diagnosed during 12 follow-up years and a subcohort of 495 postmenopausal women were randomly selected within 10-year age and clinical center strata. Progesterone assays were completed in July 2017; subsequent data analyses were conducted between July 15, 2017, and December 20, 2018. EXPOSURES Circulating concentrations of pregnenolone, progesterone, and their major metabolites. MAIN OUTCOMES AND MEASURES Development of breast cancer, with hazard ratios (HRs) and 95% CIs was estimated using Cox proportional hazards regression adjusted for key confounders, including estradiol. Evaluation of hormone ratios and effect modification were planned a priori. RESULTS The present study included 405 incident breast cancer cases and a subcohort of 495 postmenopausal women; the mean (SD) age at the time of the blood draw was 67.2 (6.2) years. Progesterone concentrations were a mean (SD) of 4.6 (1.7) ng/dL. Women with higher circulating progesterone levels were at an increased risk for breast cancer per SD increase in progesterone levels (HR, 1.16; 95% CI, 1.00-1.35; P = .048). The association with progesterone was linear in a 5-knot spline and stronger for invasive breast cancers (n = 267) (HR, 1.24; 95% CI, 1.07-1.43; P = .004). Among women in the lowest quintile (Q1) of circulating estradiol (<6.30 pg/mL) elevated progesterone concentrations were associated with reduced breast cancer risk per SD increase in progesterone levels (HR, 0.38; 95% CI, 0.15-0.95; P = .04) and increased risk among women in higher quintiles of estradiol (Q2-Q5; ≥6.30 pg/mL) (HR, 1.18; 95% CI, 1.04-1.35; P = .01; P = .04 for interaction). CONCLUSIONS AND RELEVANCE In this case-cohort study of postmenopausal women, elevated circulating progesterone levels were associated with a 16% increase in the risk of breast cancer. Additional research should be undertaken to assess how postmenopausal breast cancer risk is associated with both endogenous progesterone and progesterone metabolites and their interactions with estradiol.
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Affiliation(s)
- Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Doug C. Bauer
- Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Diana S. M. Buist
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Jane A. Cauley
- Graduate School of Public Health Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Roni T. Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Ashley M. Geczik
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Gretchen L. Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Manila Hada
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Trisha F. Hue
- Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - James V. Lacey
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Andrea Z. LaCroix
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego
| | - Jeffrey A. Tice
- Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Xia Xu
- Leidos Biomedical Research Inc, Frederick, Maryland
| | - Cher M. Dallal
- School of Public Health, University of Maryland College Park
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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Affiliation(s)
- Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Parichoy Pal Choudhury
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Montserrat García-Closas
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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Mullooly M, Ehteshami Bejnordi B, Pfeiffer RM, Fan S, Palakal M, Hada M, Vacek PM, Weaver DL, Shepherd JA, Fan B, Mahmoudzadeh AP, Wang J, Malkov S, Johnson JM, Herschorn SD, Sprague BL, Hewitt S, Brinton LA, Karssemeijer N, van der Laak J, Beck A, Sherman ME, Gierach GL. Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density. NPJ Breast Cancer 2019; 5:43. [PMID: 31754628 PMCID: PMC6864056 DOI: 10.1038/s41523-019-0134-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 09/30/2019] [Indexed: 01/27/2023] Open
Abstract
Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histologic correlates in radiologically-guided biopsies that may underlie breast density and distinguish cancer among women with elevated and low density. We evaluated hematoxylin and eosin (H&E)-stained digitized images from image-guided breast biopsies (n = 852 patients). Breast density was assessed as global and localized fibroglandular volume (%). A convolutional neural network characterized H&E composition. In total 37 features were extracted from the network output, describing tissue quantities and morphological structure. A random forest regression model was trained to identify correlates most predictive of fibroglandular volume (n = 588). Correlations between predicted and radiologically quantified fibroglandular volume were assessed in 264 independent patients. A second random forest classifier was trained to predict diagnosis (invasive vs. benign); performance was assessed using area under receiver-operating characteristics curves (AUC). Using extracted features, regression models predicted global (r = 0.94) and localized (r = 0.93) fibroglandular volume, with fat and non-fatty stromal content representing the strongest correlates, followed by epithelial organization rather than quantity. For predicting cancer among high and low fibroglandular volume, the classifier achieved AUCs of 0.92 and 0.84, respectively, with epithelial organizational features ranking most important. These results suggest non-fatty stroma, fat tissue quantities and epithelial region organization predict fibroglandular volume. The model holds promise for identifying histological correlates of cancer risk in patients with high and low density and warrants further evaluation.
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Affiliation(s)
- Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Babak Ehteshami Bejnordi
- Department of Pathology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Maya Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Manila Hada
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Pamela M. Vacek
- University of Vermont and University of Vermont Cancer Center, Burlington, VT USA
| | - Donald L. Weaver
- University of Vermont and University of Vermont Cancer Center, Burlington, VT USA
| | - John A. Shepherd
- University of California, San Francisco, San Francisco, CA USA
- University of Hawaii Cancer Center, Honolulu, HI USA
| | - Bo Fan
- University of California, San Francisco, San Francisco, CA USA
| | | | - Jeff Wang
- Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| | - Serghei Malkov
- University of California, San Francisco, San Francisco, CA USA
| | - Jason M. Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Sally D. Herschorn
- University of Vermont and University of Vermont Cancer Center, Burlington, VT USA
| | - Brian L. Sprague
- University of Vermont and University of Vermont Cancer Center, Burlington, VT USA
| | - Stephen Hewitt
- Center for Cancer Research, National Cancer Institute, Bethesda, MD USA
| | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
| | - Nico Karssemeijer
- Department of Pathology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
| | - Jeroen van der Laak
- Department of Pathology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
| | - Andrew Beck
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | | | - Gretchen L. Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD USA
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Mullooly M, Puvanesarajah S, Fan S, Pfeiffer RM, Olsson LT, Hada M, Kirk EL, Vacek PM, Weaver DL, Shepherd J, Mahmoudzadeh A, Wang J, Malkov S, Johnson JM, Hewitt SM, Herschorn SD, Sherman ME, Troester MA, Gierach GL. Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy. Cancer Prev Res (Phila) 2019; 12:861-870. [PMID: 31645342 DOI: 10.1158/1940-6207.capr-19-0120] [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: 02/27/2019] [Revised: 09/09/2019] [Accepted: 10/17/2019] [Indexed: 11/16/2022]
Abstract
Delayed terminal duct lobular unit (TDLU) involution is associated with elevated mammographic breast density (MD). Both are independent breast cancer risk factors among women with benign breast disease (BBD). Prior digital analyses of normal breast tissues revealed that epithelial nuclear density (END) and TDLU involution are inversely correlated. Accordingly, we examined associations of END, TDLU involution, and MD in BBD clinical biopsies. This study included digitized images of 262 representative image-guided hematoxylin and eosin-stained biopsies from 224 women diagnosed with BBD, enrolled within the cross-sectional BREAST-Stamp project that were visually assessed for TDLU involution (TDLU count/100 mm2, median TDLU span and median acini count per TDLU). A digital algorithm estimated nuclei count per unit epithelial area, or END. Single X-ray absorptiometry of prebiopsy ipsilateral craniocaudal digital mammograms measured global and localized MD surrounding the biopsy region. Adjusted ordinal logistic regression models assessed relationships between tertiles of TDLU and END measures. Analysis of covariance examined mean differences in MD across END tertiles. TDLU measures were positively associated with increasing END tertiles [TDLU count/100 mm2, ORT3vsT1: 3.42, 95% confidence interval (CI), 1.87-6.28; acini count/TDLUT3vsT1, OR: 2.40, 95% CI, 1.39-4.15]. END was significantly associated with localized, but not, global MD. Relationships were most apparent among patients with nonproliferative BBD. These findings suggest that quantitative END reflects different but complementary information to the histologic information captured by visual TDLU and radiologic MD measures and merits continued evaluation in assessing cellularity of breast parenchyma to understand the etiology of BBD.
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Affiliation(s)
- Maeve Mullooly
- Division of Population Health Science, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | | | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Linnea T Olsson
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Manila Hada
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Erin L Kirk
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Pamela M Vacek
- The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont
| | - Donald L Weaver
- The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, Hawaii
| | | | - Jeff Wang
- Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| | - Serghei Malkov
- University of California, San Francisco, San Francisco, California
| | - Jason M Johnson
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen M Hewitt
- Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Sally D Herschorn
- The University of Vermont and The University of Vermont Cancer Center, Burlington, Vermont
| | | | - Melissa A Troester
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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49
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Mullooly M, Withrow DR, Curtis RE, Fan S, Liao LM, Pfeiffer RM, de González AB, Gierach GL. Association of lifestyle and clinical characteristics with receipt of radiotherapy treatment among women diagnosed with DCIS in the NIH-AARP Diet and Health Study. Breast Cancer Res Treat 2019; 179:445-457. [PMID: 31625031 DOI: 10.1007/s10549-019-05436-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 07/15/2019] [Accepted: 09/05/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE The long-term risks and benefits of radiotherapy for ductal carcinoma in situ (DCIS) remain unclear. Recent data from the Surveillance, Epidemiology and End Results (SEER) registries showed that DCIS-associated radiotherapy treatment significantly increased risk of second non-breast cancers including lung cancer. To help understand those observations and whether breast cancer risk factors are related to radiotherapy treatment decision-making, we examined associations between lifestyle and clinical factors with DCIS radiotherapy receipt. METHODS Among 1628 participants from the NIH-AARP Diet and Health Study, diagnosed with incident DCIS (1995-2011), we examined associations between lifestyle and clinical factors with radiotherapy receipt. Radiotherapy and clinical information were ascertained from state cancer registries. Odds ratios (ORs) and 95% confidence intervals (CIs) for radiotherapy receipt (yes/no) were estimated from multivariable logistic regression. RESULTS Overall, 45% (n = 730) received radiotherapy. No relationships were observed for most lifestyle factors and radiotherapy receipt, including current smoking (OR 0.97, 95%CI 0.70, 1.34). However positive associations were observed for moderate alcohol consumption and infrequent physical activity. The strongest associations were observed for radiotherapy receipt and more recent diagnoses (2005-2011 vs. 1995-1999; OR 1.60, 95%CI 1.14, 2.25), poorly versus well-differentiated tumors (OR 1.69, 95%CI 1.16, 2.46) and endocrine therapy (OR 3.37, 95%CI 2.56, 4.44). CONCLUSIONS Clinical characteristics were the strongest determinants of DCIS radiotherapy. Receipt was largely unrelated to lifestyle factors suggesting that the previously observed associations in SEER were likely not confounded by these lifestyle factors. Further studies are needed to understand mechanisms driving radiotherapy-associated second malignancies following DCIS, to identify prevention opportunities for this growing population.
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Affiliation(s)
- Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Diana R Withrow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rochelle E Curtis
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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50
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Davis Lynn BC, Rosenberg PS, Anderson WF, Gierach GL. Black-White Breast Cancer Incidence Trends: Effects of Ethnicity. J Natl Cancer Inst 2019; 110:1270-1272. [PMID: 29982593 DOI: 10.1093/jnci/djy112] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [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: 02/23/2018] [Accepted: 05/23/2018] [Indexed: 12/13/2022] Open
Abstract
Recent reports of converging black and white breast cancer incidence rates have gained much attention, potentially foreshadowing a worsening of the black-white breast cancer mortality disparity. However, these incidence rates also reflect the sum of non-Hispanics and Hispanics that may mask important ethnicity-specific trends. We therefore assessed race- and ethnicity-specific breast cancer trends using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) 13 Registries Database (1992-2014). Age-period-cohort models projected rates for 2015-2030. Results confirmed merging of age-standardized incidence rates for blacks and whites circa 2012, but not for non-Hispanic black (NHB) and non-Hispanic white (NHW) women. Incidence rates were highest for NHW women (n = 382 290), followed by NHB women (n = 51 074), and then Hispanic white women (n = 48 651). The sample size for Hispanic blacks was too small for analysis (n = 693). Notably, future incidence rates are expected to slowly increase (2015 through 2030) among NHW women (0.24% per year, 95% confidence interval [CI] = 0.17 to 0.32) and slowly decrease for NHB women (-0.14% per year, 95% CI = -0.15 to -0.13). A putative worsening of the black-white mortality disparity, therefore, seems unlikely. Ethnicity matters when assessing race-specific breast cancer incidence rates.
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Affiliation(s)
- Brittny C Davis Lynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Philip S Rosenberg
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - William F Anderson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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