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Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk
Jasmine A McDonald1, Yuyan Liao1, Julia A Knight2,3
1Columbia University Irving Medical Center, New York, New York.
JAMA Network Open
|August 26, 2024
Summary
Pregnancy factors influence breast cancer (BC) risk, especially for ER-negative BC, with risk varying by BC susceptibility scores. These findings are crucial for understanding BC causes and tailoring screening.
Area of Science:
- Reproductive health and cancer epidemiology.
- Genetics and personalized medicine in oncology.
Background:
- Few studies explore how pregnancy-related factors affect breast cancer (BC) risk based on individual susceptibility.
- Understanding these variations is key for BC etiology and risk-stratified screening guidelines.
Purpose of the Study:
- To investigate the association between pregnancy-related factors and BC risk.
- To examine if these associations are modified by polygenic risk scores (PARS) for BC.
Main Methods:
- A cohort study of 17,274 women from the prospective Family Study Cohort (ProF-SC) was conducted.
- Data from 1992-2011 were analyzed through 2017, using Cox proportional hazards regression to assess BC risk associated with parity, age at first full-term pregnancy (FTP), breastfeeding, and time since last FTP.
- Associations were examined for modification by PARS and stratified by estrogen receptor (ER) status.
Main Results:
- Higher PARS interacted with recent pregnancy (0-5 years post-FTP) to increase overall BC risk (HR for interaction: 1.53).
- For ER-negative BC, higher PARS amplified risk associated with recent pregnancy (HR for interaction: 1.54) and increasing years since last FTP.
- ER-negative BC risk was also associated with earlier age at first FTP (≥20 years) and inversely with multiparity, particularly among women with higher PARS.
Conclusions:
- Pregnancy-related factors and BC risk associations are modified by PARS, particularly for ER-negative BC.
- These findings highlight the interplay between reproductive history, genetic susceptibility, and BC development, informing personalized risk assessment.
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