Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium

Anna Morra, Audrey Y. Jung, Sabine Behrens, Renske Keeman, Thomas U. Ahearn, Hoda Anton-Culver, Volker Arndt, Annelie Augustinsson, Päivi K. Auvinen, Laura E. Beane Freeman, Heiko Becher, Matthias W. Beckmann, Carl Blomqvist, Stig E. Bojesen, Manjeet K. Bolla, Hermann Brenner, Ignacio Briceno, Sara Y. Brucker, Nicola J. Camp, Daniele CampaFederico Canzian, Jose E. Castelao, Stephen J. Chanock, Ji Yeob Choi, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Thilo Dörk, Alison M. Dunning, Miriam Dwek, Douglas F. Easton, Diana M. Eccles, Kathleen M. Egan, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Manuela Gago-Dominguez, Susan M. Gapstur, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Mervi Grip, Pascal Guénel, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Sileny N. Han, Steven N. Hart, Mikael Hartman, Jane S. Heyworth, Reiner Hoppe, John L. Hopper, David J. Hunter, Hidemi Ito, Agnes Jager, Milena Jakimovska, Anna Jakubowska, Wolfgang Janni, Rudolf Kaaks, Daehee Kang, Pooja Middha Kapoor, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Annika Lindblom, Jan Lubi-Nski, Michael Lush, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Shivaani Mariapun, Keitaro Matsuo, Dimitrios Mavroudis, Roger L. Milne, Taru A. Muranen, William G. Newman, Dong Young Noh, Børge G. Nordestgaard, Nadia Obi, Andrew F. Olshan, Håkan Olsson, Tjoung Won Park-Simon, Christos Petridis, Paul D.P. Pharoah, Dijana Plaseska-Karanfilska, Nadege Presneau, Muhammad U. Rashid, Gad Rennert, Hedy S. Rennert, Valerie Rhenius, Atocha Romero, Emmanouil Saloustros, Elinor J. Sawyer, Andreas Schneeweiss, Lukas Schwentner, Christopher Scott, Mitul Shah, Chen Yang Shen, Xiao Ou Shu, Melissa C. Southey, Daniel O. Stram, Rulla M. Tamimi, William Tapper, Rob A.E.M. Tollenaar, Ian Tomlinson, Diana Torres, Melissa A. Troester, Truong Thérèse Truong, Celine M. Vachon, Qin Wang, Sophia S. Wang, Justin A. Williams, Robert Winqvist, Alicja Wolk, Anna H. Wu, Keun Young Yoo, Jyh Cherng Yu, Wei Zheng, Argyrios Ziogas, Xiaohong R. Yang, A. Heather Eliassen, Michelle D. Holmes, Montserrat García-Closas, Soo Hwang Teo, Marjanka K. Schmidt, Jenny Chang-Claude, for the ABCTB Investigators, for the NBCS Collaborators

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer. specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5.25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus <20 years at first pregnancy [0.79 (0.72-0.86)]; >0.<5 years versus ≥10 years since last full-term birth [1.31 (1.11-1.55)]; ever versus never use of oral contraceptives [0.91 (0.87-0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen.progestin therapy [0.61 (0.54.0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02-1.21) for current versus never smoking. Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.

Original languageEnglish
Pages (from-to)623-642
Number of pages20
JournalCancer Epidemiology, Biomarkers and Prevention
Volume30
Issue number4
DOIs
Publication statusPublished - Apr 2021

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