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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: Cancer Epidemiology Biomarkers and Prevention, Vol. 30, No. 4, 2021, p. 623-642.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Morra, A, Jung, AY, Behrens, S, Keeman, R, Ahearn, TU, Anton-Culver, H, Arndt, V, Augustinsson, A, Auvinen, PK, Beane Freeman, LE, Becher, H, Beckmann, MW, Blomqvist, C, Bojesen, SE, Bolla, MK, Brenner, H, Briceno, I, Brucker, SY, Camp, NJ, Campa, D, Canzian, F, Castelao, JE, Chanock, SJ, Choi, JY, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Dörk, T, Dunning, AM, Dwek, M, Easton, DF, Eccles, DM, Egan, KM, Evans, DG, Fasching, PA, Flyger, H, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Giles, GG, Grip, M, Guénel, P, Haiman, CA, Håkansson, N, Nordestgaard, BG, Scott, C, Wang, Q, The ABCTB Investigators & The NBCS Collaborators 2021, 'Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium', Cancer Epidemiology Biomarkers and Prevention, vol. 30, no. 4, pp. 623-642. https://doi.org/10.1158/1055-9965.EPI-20-0924

APA

Morra, A., Jung, A. Y., Behrens, S., Keeman, R., Ahearn, T. U., Anton-Culver, H., Arndt, V., Augustinsson, A., Auvinen, P. K., Beane Freeman, L. E., Becher, H., Beckmann, M. W., Blomqvist, C., Bojesen, S. E., Bolla, M. K., Brenner, H., Briceno, I., Brucker, S. Y., Camp, N. J., ... The NBCS Collaborators (2021). Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium. Cancer Epidemiology Biomarkers and Prevention, 30(4), 623-642. https://doi.org/10.1158/1055-9965.EPI-20-0924

Vancouver

Morra A, Jung AY, Behrens S, Keeman R, Ahearn TU, Anton-Culver H et al. Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium. Cancer Epidemiology Biomarkers and Prevention. 2021;30(4):623-642. https://doi.org/10.1158/1055-9965.EPI-20-0924

Author

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. / Breast cancer risk factors and survival by tumor subtype : Pooled analyses from the breast cancer association consortium. In: Cancer Epidemiology Biomarkers and Prevention. 2021 ; Vol. 30, No. 4. pp. 623-642.

Bibtex

@article{3f02bbdc6ad747d6a10153823d72cb04,
title = "Breast cancer risk factors and survival by tumor subtype: Pooled analyses from the breast cancer association consortium",
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.",
author = "Anna Morra and Jung, {Audrey Y.} and Sabine Behrens and Renske Keeman and Ahearn, {Thomas U.} and Hoda Anton-Culver and Volker Arndt and Annelie Augustinsson and Auvinen, {P{\"a}ivi K.} and {Beane Freeman}, {Laura E.} and Heiko Becher and Beckmann, {Matthias W.} and Carl Blomqvist and Bojesen, {Stig E.} and Bolla, {Manjeet K.} and Hermann Brenner and Ignacio Briceno and Brucker, {Sara Y.} and Camp, {Nicola J.} and Daniele Campa and Federico Canzian and Castelao, {Jose E.} and Chanock, {Stephen J.} and Choi, {Ji Yeob} and Clarke, {Christine L.} and Couch, {Fergus J.} and Angela Cox and Cross, {Simon S.} and Kamila Czene and Thilo D{\"o}rk and Dunning, {Alison M.} and Miriam Dwek and Easton, {Douglas F.} and Eccles, {Diana M.} and Egan, {Kathleen M.} and Evans, {D. Gareth} and Fasching, {Peter A.} and Henrik Flyger and Manuela Gago-Dominguez and Gapstur, {Susan M.} and Garc{\'i}a-S{\'a}enz, {Jos{\'e} A.} and Gaudet, {Mia M.} and Giles, {Graham G.} and Mervi Grip and Pascal Gu{\'e}nel and Haiman, {Christopher A.} and Niclas H{\aa}kansson and Nordestgaard, {B{\o}rge G.} and Christopher Scott and Qin Wang and {The ABCTB Investigators} and {The NBCS Collaborators}",
note = "Publisher Copyright: {\textcopyright} 2021 American Association for Cancer Research.",
year = "2021",
doi = "10.1158/1055-9965.EPI-20-0924",
language = "English",
volume = "30",
pages = "623--642",
journal = "Cancer Epidemiology, Biomarkers & Prevention",
issn = "1055-9965",
publisher = "American Association for Cancer Research (A A C R)",
number = "4",

}

RIS

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