Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Breast cancer risk factors and survival by tumor subtype : Pooled analyses from the breast cancer association consortium. / Morra, Anna; Jung, Audrey Y.; Behrens, Sabine; Keeman, Renske; Ahearn, Thomas U.; Anton-Culver, Hoda; Arndt, Volker; Augustinsson, Annelie; Auvinen, Päivi K.; Beane Freeman, Laura E.; Becher, Heiko; Beckmann, Matthias W.; Blomqvist, Carl; Bojesen, Stig E.; Bolla, Manjeet K.; Brenner, Hermann; Briceno, Ignacio; Brucker, Sara Y.; Camp, Nicola J.; Campa, Daniele; Canzian, Federico; Castelao, Jose E.; Chanock, Stephen J.; Choi, Ji Yeob; Clarke, Christine L.; Couch, Fergus J.; Cox, Angela; Cross, Simon S.; Czene, Kamila; Dörk, Thilo; Dunning, Alison M.; Dwek, Miriam; Easton, Douglas F.; Eccles, Diana M.; Egan, Kathleen M.; Evans, D. Gareth; Fasching, Peter A.; Flyger, Henrik; Gago-Dominguez, Manuela; Gapstur, Susan M.; García-Sáenz, José A.; Gaudet, Mia M.; Giles, Graham G.; Grip, Mervi; Guénel, Pascal; Haiman, Christopher A.; Håkansson, Niclas; Nordestgaard, Børge G.; Scott, Christopher; Wang, Qin; The ABCTB Investigators; The NBCS Collaborators.
I: Cancer Epidemiology Biomarkers and Prevention, Bind 30, Nr. 4, 2021, s. 623-642.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Breast cancer risk factors and survival by tumor subtype
T2 - Pooled analyses from the breast cancer association consortium
AU - Morra, Anna
AU - Jung, Audrey Y.
AU - Behrens, Sabine
AU - Keeman, Renske
AU - Ahearn, Thomas U.
AU - Anton-Culver, Hoda
AU - Arndt, Volker
AU - Augustinsson, Annelie
AU - Auvinen, Päivi K.
AU - Beane Freeman, Laura E.
AU - Becher, Heiko
AU - Beckmann, Matthias W.
AU - Blomqvist, Carl
AU - Bojesen, Stig E.
AU - Bolla, Manjeet K.
AU - Brenner, Hermann
AU - Briceno, Ignacio
AU - Brucker, Sara Y.
AU - Camp, Nicola J.
AU - Campa, Daniele
AU - Canzian, Federico
AU - Castelao, Jose E.
AU - Chanock, Stephen J.
AU - Choi, Ji Yeob
AU - Clarke, Christine L.
AU - Couch, Fergus J.
AU - Cox, Angela
AU - Cross, Simon S.
AU - Czene, Kamila
AU - Dörk, Thilo
AU - Dunning, Alison M.
AU - Dwek, Miriam
AU - Easton, Douglas F.
AU - Eccles, Diana M.
AU - Egan, Kathleen M.
AU - Evans, D. Gareth
AU - Fasching, Peter A.
AU - Flyger, Henrik
AU - Gago-Dominguez, Manuela
AU - Gapstur, Susan M.
AU - García-Sáenz, José A.
AU - Gaudet, Mia M.
AU - Giles, Graham G.
AU - Grip, Mervi
AU - Guénel, Pascal
AU - Haiman, Christopher A.
AU - Håkansson, Niclas
AU - Nordestgaard, Børge G.
AU - Scott, Christopher
AU - Wang, Qin
AU - The ABCTB Investigators
AU - The NBCS Collaborators
N1 - Publisher Copyright: © 2021 American Association for Cancer Research.
PY - 2021
Y1 - 2021
N2 - 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.
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.
U2 - 10.1158/1055-9965.EPI-20-0924
DO - 10.1158/1055-9965.EPI-20-0924
M3 - Journal article
C2 - 33500318
AN - SCOPUS:85103862811
VL - 30
SP - 623
EP - 642
JO - Cancer Epidemiology, Biomarkers & Prevention
JF - Cancer Epidemiology, Biomarkers & Prevention
SN - 1055-9965
IS - 4
ER -
ID: 276332133