1. Breast cancer risk factors and survival by tumor subtype
- Author
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Päivi Auvinen, Hoda Anton-Culver, Stig E. Bojesen, Gad Rennert, Christos Petridis, Taru A. Muranen, Lukas Schwentner, Jenny Chang-Claude, Chen-Yang Shen, Melissa A. Troester, Sara Y. Brucker, Miriam Dwek, Jingmei Li, Nadia Obi, Montserrat Garcia-Closas, Soo Hwang Teo, Pascal Guénel, Hidemi Ito, Sabine Behrens, Rulla M. Tamimi, Melissa C. Southey, Michelle D. Holmes, Christopher A. Haiman, Henrik Flyger, Roger L. Milne, Per Hall, Jyh-Cherng Yu, Thomas U. Ahearn, William G. Newman, D. Gareth Evans, Dong-Young Noh, Qin Wang, Robert Winqvist, Tjoung-Won Park-Simon, Angela Cox, Dimitrios Mavroudis, Federico Canzian, Celine M. Vachon, Annelie Augustinsson, Shivaani Mariapun, Keitaro Matsuo, Mia M. Gaudet, Anna Jakubowska, Loic Le Marchand, Rob A. E. M. Tollenaar, Paul D.P. Pharoah, Mikael Hartman, Jane Heyworth, Alison M. Dunning, Daniele Campa, Keun-Young Yoo, Anna Morra, Sileny Han, Anna H. Wu, David J. Hunter, Laura E. Beane Freeman, Mehdi Manoochehri, Volker Arndt, Elinor J. Sawyer, Peter A. Fasching, Alicja Wolk, Xiao-Ou Shu, José A. García-Sáenz, Hermann Brenner, Børge G. Nordestgaard, Pooja Middha Kapoor, Diether Lambrechts, Kamila Czene, Marjanka K. Schmidt, Nadege Presneau, Stephen J. Chanock, Mervi Grip, Ignacio Briceño, Stella Koutros, Nicola J. Camp, Kathleen M. Egan, Wei Zheng, Reiner Hoppe, Simon S. Cross, James V. Lacey, Manjeet K. Bolla, Cari M. Kitahara, Annika Lindblom, Carl Blomqvist, William J. Tapper, Diana Torres, Jan Lubinski, Milena Jakimovska, Vessela N. Kristensen, Jose E. Castelao, Graham G. Giles, Andrew F. Olshan, John L. Hopper, A. Heather Eliassen, Valerie Rhenius, Christopher G. Scott, Agnes Jager, Thilo Dörk, Justin A. Williams, Ian Tomlinson, Emmanouil Saloustros, Ji Yeob Choi, Dijana Plaseska-Karanfilska, Thérèse Truong, Audrey Y. Jung, Daehee Kang, Argyrios Ziogas, Peter Kraft, Arto Mannermaa, Rudolf Kaaks, Heiko Becher, Wolfgang Janni, Niclas Håkansson, Steven N. Hart, Xiaohong R. Yang, Håkan Olsson, Fergus J. Couch, Renske Keeman, Ute Hamann, Atocha Romero, Daniel O. Stram, Andreas Schneeweiss, Susan M. Gapstur, Michael Lush, Diana Eccles, Sara Margolin, Hedy S. Rennert, Muhammad Usman Rashid, Mitul Shah, Matthias W. Beckmann, Sophia S. Wang, Douglas F. Easton, Manuela Gago-Dominguez, Christine L. Clarke, and Medical Oncology
- Subjects
0301 basic medicine ,Oncology ,Adult ,medicine.medical_specialty ,Epidemiology ,Estrogen receptor ,Breast Neoplasms ,Article ,03 medical and health sciences ,Aged ,Cause of Death ,Female ,Humans ,Middle Aged ,Neoplasm Invasiveness ,Neoplasm Staging ,Prospective Studies ,Risk Factors ,Survival Analysis ,Life Style ,0302 clinical medicine ,Breast cancer ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,business.industry ,Proportional hazards model ,Cancer ,medicine.disease ,Confidence interval ,3. Good health ,Tumor Subtype ,030104 developmental biology ,Clinical research ,030220 oncology & carcinogenesis ,business ,Body mass index - 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 0– 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.
- Published
- 2021