RT Journal Article
SR Electronic
T1 Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium
JF Cancer Epidemiology Biomarkers & Prevention
JO Cancer Epidemiol Biomarkers Prev
FD American Association for Cancer Research
SP 623
OP 642
DO 10.1158/1055-9965.EPI-20-0924
VO 30
IS 4
A1 Morra, Anna
A1 Jung, Audrey Y.
A1 Behrens, Sabine
A1 Keeman, Renske
A1 Ahearn, Thomas U.
A1 Anton-Culver, Hoda
A1 Arndt, Volker
A1 Augustinsson, Annelie
A1 Auvinen, Päivi K.
A1 Beane Freeman, Laura E.
A1 Becher, Heiko
A1 Beckmann, Matthias W.
A1 Blomqvist, Carl
A1 Bojesen, Stig E.
A1 Bolla, Manjeet K.
A1 Brenner, Hermann
A1 Briceno, Ignacio
A1 Brucker, Sara Y.
A1 Camp, Nicola J.
A1 Campa, Daniele
A1 Canzian, Federico
A1 Castelao, Jose E.
A1 Chanock, Stephen J.
A1 Choi, Ji-Yeob
A1 Clarke, Christine L.
A1 Couch, Fergus J.
A1 Cox, Angela
A1 Cross, Simon S.
A1 Czene, Kamila
A1 Dörk, Thilo
A1 Dunning, Alison M.
A1 Dwek, Miriam
A1 Easton, Douglas F.
A1 Eccles, Diana M.
A1 Egan, Kathleen M.
A1 Evans, D. Gareth
A1 Fasching, Peter A.
A1 Flyger, Henrik
A1 Gago-Dominguez, Manuela
A1 Gapstur, Susan M.
A1 García-Sáenz, José A.
A1 Gaudet, Mia M.
A1 Giles, Graham G.
A1 Grip, Mervi
A1 Guénel, Pascal
A1 Haiman, Christopher A.
A1 Håkansson, Niclas
A1 Hall, Per
A1 Hamann, Ute
A1 Han, Sileny N.
A1 Hart, Steven N.
A1 Hartman, Mikael
A1 Heyworth, Jane S.
A1 Hoppe, Reiner
A1 Hopper, John L.
A1 Hunter, David J.
A1 Ito, Hidemi
A1 Jager, Agnes
A1 Jakimovska, Milena
A1 Jakubowska, Anna
A1 Janni, Wolfgang
A1 Kaaks, Rudolf
A1 Kang, Daehee
A1 Kapoor, Pooja Middha
A1 Kitahara, Cari M.
A1 Koutros, Stella
A1 Kraft, Peter
A1 Kristensen, Vessela N.
A1 Lacey, James V.
A1 Lambrechts, Diether
A1 Le Marchand, Loic
A1 Li, Jingmei
A1 Lindblom, Annika
A1 Lubiński, Jan
A1 Lush, Michael
A1 Mannermaa, Arto
A1 Manoochehri, Mehdi
A1 Margolin, Sara
A1 Mariapun, Shivaani
A1 Matsuo, Keitaro
A1 Mavroudis, Dimitrios
A1 Milne, Roger L.
A1 Muranen, Taru A.
A1 Newman, William G.
A1 Noh, Dong-Young
A1 Nordestgaard, Børge G.
A1 Obi, Nadia
A1 Olshan, Andrew F.
A1 Olsson, Håkan
A1 Park-Simon, Tjoung-Won
A1 Petridis, Christos
A1 Pharoah, Paul D.P.
A1 Plaseska-Karanfilska, Dijana
A1 Presneau, Nadege
A1 Rashid, Muhammad U.
A1 Rennert, Gad
A1 Rennert, Hedy S.
A1 Rhenius, Valerie
A1 Romero, Atocha
A1 Saloustros, Emmanouil
A1 Sawyer, Elinor J.
A1 Schneeweiss, Andreas
A1 Schwentner, Lukas
A1 Scott, Christopher
A1 Shah, Mitul
A1 Shen, Chen-Yang
A1 Shu, Xiao-Ou
A1 Southey, Melissa C.
A1 Stram, Daniel O.
A1 Tamimi, Rulla M.
A1 Tapper, William
A1 Tollenaar, Rob A.E.M.
A1 Tomlinson, Ian
A1 Torres, Diana
A1 Troester, Melissa A.
A1 Truong, Thérèse
A1 Vachon, Celine M.
A1 Wang, Qin
A1 Wang, Sophia S.
A1 Williams, Justin A.
A1 Winqvist, Robert
A1 Wolk, Alicja
A1 Wu, Anna H.
A1 Yoo, Keun-Young
A1 Yu, Jyh-Cherng
A1 Zheng, Wei
A1 Ziogas, Argyrios
A1 Yang, Xiaohong R.
A1 Eliassen, A. Heather
A1 Holmes, Michelle D.
A1 García-Closas, Montserrat
A1 Teo, Soo Hwang
A1 Schmidt, Marjanka K.
A1 Chang-Claude, Jenny
YR 2021
UL http://cebp.aacrjournals.org/content/30/4/623.abstract
AB 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.