Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies

Xiaohong R. Yang(National Institutes of Health), Jenny Chang‐Claude, Ellen L. Goode, Fergus J. Couch, Heli Nevanlinna, Roger L. Milne, Mia M. Gaudet, Marjanka K. Schmidt, Annegien Broeks, Angela Cox, Peter A. Fasching, Rebecca Hein, Amanda B. Spurdle, Fiona M. Blows, Kristy Driver, Dieter Flesch‐Janys, Judith Heinz, Hans‐Peter Sinn, Alina Vrieling, Tuomas Heikkinen, Kristiina Aittomäki, Päivi Heikkilä, Carl Blomqvist, Jolanta Lissowska, Beata Pepłońska, Stephen J. Chanock, Jonine D. Figueroa, Louise A. Brinton, Per Hall, Kamila Czene, Keith Humphreys, Hatef Darabi, Jianjun Liu, Laura van ‘t Veer, Flora E. van Leeuwen, Irene L. Andrulis, Gord Glendon, Julia A. Knight, Anna Marie Mulligan, Frances P. O’Malley, Nayana Weerasooriya, Esther M. John, Matthias W. Beckmann, Arndt Hartmann, Sebastian Weihbrecht, David L. Wachter, Sebastian M. Jud, Christian R. Loehberg, Laura Baglietto, Dallas R. English, Graham G. Giles, Catriona McLean, Gianluca Severi, Diether Lambrechts, T. Vandorpe, Caroline Weltens, Robert Paridaens, Ann Smeets, Patrick Neven, Hans Wildiers, Xianshu Wang, Janet E. Olson, Victoria Cafourek, Zachary Fredericksen, Matthew Kosel, Celine M. Vachon, Helen Cramp, Daniel Connley, Simon S. Cross, Sabapathy P. Balasubramanian, Malcolm Reed, Thilo Dörk, Michael Bremer, Andreas Meyer, Johann H. Karstens, Aysun Ay, Tjoung‐Won Park‐Simon, Peter Hillemanns, José Ignacio Arias Pérez, Primitiva Menéndez Rodríguez, Pilar Zamora, Javier Benı́tez, Yon‐Dschun Ko, Hans‐Peter Fischer, Ute Hamann, Beate Pesch, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Diana M. Eccles, William Tapper, Sue Gerty, Elinor J. Sawyer, Ian Tomlinson, Angela Jones, Michael J. Kerin, Nicola Miller, Niall McInerney, Hoda Anton‐Culver, Argyrios Ziogas, Chen‐Yang Shen, Chia‐Ni Hsiung, Pei‐Ei Wu, Show‐Lin Yang, Jyh‐Cherng Yu, Shou‐Tung Chen, Giu‐Cheng Hsu, Christopher A. Haiman, Brian E. Henderson, Loı̈c Le Marchand, Laurence N. Kolonel, Annika Lindblom, Sara Margolin, Anna Jakubowska, Jan Lubiński, Tomasz Huzarski, Tomasz Byrski, Bohdan Górski, Jacek Gronwald, Maartje J. Hooning, Antoinette Hollestelle, Ans M.W. van den Ouweland, Agnes Jager, Mieke Kriege, Madeleine M.A. Tilanus‐Linthorst, Margriet Collée, Shan Wang‐Gohrke, Katri Pylkäs, Arja Jukkola‐Vuorinen, Kari Mononen, Mervi Grip, Pasi Hirvikoski, Robert Winqvist, Arto Mannermaa, Veli‐Matti Kosma, Jaana M. Kauppinen, Vesa Kataja, Päivi Auvinen, Ylermi Soini, Reijo Sironen, Stig E. Bojesen, David D. Ørsted, Diljit Kaur‐Knudsen, Henrik Flyger, Børge G. Nordestgaard, Helene Holland, Georgia Chenevix‐Trench, Siranoush Manoukian, Monica Barile, Paolo Radice, Susan E. Hankinson, David J. Hunter, Rulla M. Tamimi, Suleeporn Sangrajrang, Paul Brennan, James McKay, Fabrice Odefrey, Valérie Gaborieau, Peter Devilee, Petra E.A. Huijts, RAEM Tollenaar, C. Seynaeve, Gillian S. Dite, Carmel Apicella, John L. Hopper, Fleur Hammet, Helen Tsimiklis, Letitia Smith, Melissa C. Southey, Manjeet K. Humphreys, Douglas F. Easton, Paul D.P. Pharoah, Mark E. Sherman, Montserrat García‐Closas
JNCI Journal of the National Cancer Institute
December 29, 2010
Cited by 716Open Access
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Abstract

BACKGROUND: Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors. METHODS: We pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided. RESULTS: In case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors. CONCLUSIONS: This study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.


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