Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk

被引:1
作者
McDonald, Jasmine A. [1 ]
Liao, Yuyan [1 ]
Knight, Julia A. [2 ,9 ]
John, Esther M. [3 ]
Kurian, Allison W. [3 ]
Daly, Mary [4 ]
Buys, Saundra S. [5 ]
Huang, Yun [6 ,7 ]
Frost, Caren J. [8 ]
Andrulis, Irene L. [2 ,14 ]
Colonna, Sarah V. [10 ]
Friedlander, Michael L. [11 ]
Hopper, John L. [12 ]
Chung, Wendy K. [1 ]
Genkinger, Jeanine M. [1 ]
Macinnis, Robert J. [12 ,13 ]
Terry, Mary Beth [1 ]
机构
[1] Columbia Univ, Irving Med Ctr, New York, NY USA
[2] Sinai Hlth, Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada
[3] Stanford Univ, Sch Med, Stanford, CA USA
[4] Fox Chase Canc Ctr, Philadelphia, PA USA
[5] Univ Utah, Hlth Sci Ctr, Salt Lake City, UT USA
[6] Shanghai Jiao Tong Univ, Sch Med, Shanghai Key Lab Childrens Environm Hlth, Xinhua Hosp,Minist Educ, Shanghai, Peoples R China
[7] Shanghai Jiao Tong Univ, Sch Publ Hlth, Sch Med, Shanghai, Peoples R China
[8] Univ Utah, Coll Social Work, Salt Lake City, UT USA
[9] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
[10] Univ Utah Hlth, Huntsman Canc Inst, Salt Lake City, UT USA
[11] Univ New South Wales, Sydney, NSW, Australia
[12] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Parkville, Vic, Australia
[13] Canc Council Victoria, East Melbourne, Vic, Australia
[14] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada
基金
英国医学研究理事会;
关键词
MAMMARY-GLAND INVOLUTION; GENETIC SUSCEPTIBILITY; BOADICEA MODEL; EPIDEMIOLOGY; RESOURCE; REGISTRY; KCONFAB; PARITY; BRCA1; AGE;
D O I
10.1001/jamanetworkopen.2024.27441
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Few studies have investigated whether the associations between pregnancy-related factors and breast cancer (BC) risk differ by underlying BC susceptibility. Evidence regarding variation in BC risk is critical to understanding BC causes and for developing effective risk-based screening guidelines. Objective To examine the association between pregnancy-related factors and BC risk, including modification by a of BC where scores are based on age and BC family history. Design, Setting, and ParticipantsThis cohort study included participants from the prospective Family Study Cohort (ProF-SC), which includes the 6 sites of the Breast Cancer Family Registry (US, Canada, and Australia) and the Kathleen Cuningham Foundation Consortium (Australia). Analyses were performed in a cohort of women enrolled from 1992 to 2011 without any personal history of BC who were followed up through 2017 with a median (range) follow-up of 10 (1-23) years. Data were analyzed from March 1992 to March 2017. Exposures Parity, number of full-term pregnancies (FTP), age at first FTP, years since last FTP, and breastfeeding. Main Outcomes and Measures BC diagnoses were obtained through self-report or report by a first-degree relative and confirmed through pathology and data linkages. Cox proportional hazards regression models estimated hazard ratios (HR) and 95% CIs for each exposure, examining modification by PARS of BC. Differences were assessed by estrogen receptor (ER) subtype. Results The study included 17 274 women (mean [SD] age, 46.7 [15.1] years; 791 African American or Black participants [4.6%], 1399 Hispanic or Latinx participants [8.2%], and 13 790 White participants [80.7%]) with 943 prospectively ascertained BC cases. Compared with nulliparous women, BC risk was higher after a recent pregnancy for those women with higher PARS (last FTP 0-5 years HR for interaction, 1.53; 95% CI, 1.13-2.07; P for interaction < .001). Associations between other exposures were limited to ER-negative disease. ER-negative BC was positively associated with increasing PARS and increasing years since last FTP (P for interaction < .001) with higher risk for recent pregnancy vs nulliparous women (last FTP 0-5 years HR for interaction, 1.54; 95% CI, 1.03-2.31). ER-negative BC was positively associated with increasing PARS and being aged 20 years or older vs less than 20 years at first FTP (P for interaction = .002) and inversely associated with multiparity vs nulliparity (P for interaction = .01). Conclusions and Relevance In this cohort study of women with no prior BC diagnoses, associations between pregnancy-related factors and BC risk were modified by PARS, with greater associations observed for ER-negative BC.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Incidence Trends of Breast Cancer Molecular Subtypes by Age and Race/Ethnicity in the US From 2010 to 2016
    Acheampong, Teofilia
    Kehm, Rebecca D.
    Terry, Mary Beth
    Argov, Erica Lee
    Tehranifar, Parisa
    [J]. JAMA NETWORK OPEN, 2020, 3 (08) : E2013226
  • [2] Breast cancer risk by age at birth, time since birth and time intervals between births:: exploring interaction effects
    Albrektsen, G
    Heuch, I
    Hansen, S
    Kvåle, G
    [J]. BRITISH JOURNAL OF CANCER, 2005, 92 (01) : 167 - 175
  • [3] Reproductive risk factors and breast cancer subtypes: a review of the literature
    Anderson, Kristin N.
    Schwab, Richard B.
    Martinez, Maria Elena
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2014, 144 (01) : 1 - 10
  • [4] The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions
    Antoniou, A. C.
    Cunningham, A. P.
    Peto, J.
    Evans, D. G.
    Lalloo, F.
    Narod, S. A.
    Risch, H. A.
    Eyfjord, J. E.
    Hopper, J. L.
    Southey, M. C.
    Olsson, H.
    Johannsson, O.
    Borg, A.
    Passini, B.
    Radice, P.
    Manoukian, S.
    Eccles, D. M.
    Tang, N.
    Olah, E.
    Anton-Culver, H.
    Warner, E.
    Lubinski, J.
    Gronwald, J.
    Gorski, B.
    Tryggvadottir, L.
    Syrjakoski, K.
    Kallioniemi, O-P
    Eerola, H.
    Nevanlinna, H.
    Pharoah, P. D. P.
    Easton, D. F.
    [J]. BRITISH JOURNAL OF CANCER, 2008, 98 (08) : 1457 - 1466
  • [5] The BOADICEA model of genetic susceptibility to breast and ovarian cancer
    Antoniou, AC
    Pharoah, PPD
    Smith, P
    Easton, DF
    [J]. BRITISH JOURNAL OF CANCER, 2004, 91 (08) : 1580 - 1590
  • [6] Pre- and perinatal factors and incidence of breast cancer in the Black Women's Health Study
    Barber, Lauren E.
    Bertrand, Kimberly A.
    Rosenberg, Lynn
    Battaglia, Tracy A.
    Palmer, Julie R.
    [J]. CANCER CAUSES & CONTROL, 2019, 30 (01) : 87 - 95
  • [7] Breast cancer and breastfeeding: collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50 302 women with breast cancer and 96 973 women without the disease
    Beral, V
    Bull, D
    Doll, R
    Peto, R
    Reeves, G
    La Vecchia, C
    Magnusson, C
    Miller, T
    Peterson, B
    Pike, M
    Thomas, D
    van Leeuwen, F
    [J]. LANCET, 2002, 360 (9328) : 187 - 195
  • [8] Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast
    Bodelon, Clara
    Oh, Hannah
    Derkach, Andriy
    Sampson, Joshua N.
    Sprague, Brian L.
    Vacek, Pamela
    Weaver, Donald L.
    Fan, Shaoqi
    Palakal, Maya
    Papathomas, Daphne
    Xiang, Jackie
    Patel, Deesha A.
    Linville, Laura
    Clare, Susan E.
    Visscher, Daniel W.
    Mies, Carolyn
    Hewitt, Stephen M.
    Brinton, Louise A.
    Storniolo, Anna Maria V.
    He, Chunyan
    Chanock, Stephen J.
    Garcia-Closas, Montserrat
    Gierach, Gretchen L.
    Figueroa, Jonine D.
    [J]. NPJ BREAST CANCER, 2020, 6 (01)
  • [9] Postpartum Involution and Cancer: An Opportunity for Targeted Breast Cancer Prevention and Treatments?
    Borges, Virginia F.
    Lyons, Traci R.
    Germain, Doris
    Schedin, Pepper
    [J]. CANCER RESEARCH, 2020, 80 (09) : 1790 - 1798
  • [10] Wounds That Will Not Heal Pervasive Cellular Reprogramming in Cancer
    Byun, Jung S.
    Gardner, Kevin
    [J]. AMERICAN JOURNAL OF PATHOLOGY, 2013, 182 (04) : 1055 - 1064