Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA.
Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
BMC Cancer. 2023 Jul 10;23(1):644. doi: 10.1186/s12885-023-11049-0.
Associations between reproductive factors and breast cancer (BC) risk vary by molecular subtype (i.e., luminal A, luminal B, HER2, and triple negative/basal-like [TNBC]). In this systematic review and meta-analysis, we summarized the associations between reproductive factors and BC subtypes.
Studies from 2000 to 2021 were included if BC subtype was examined in relation to one of 11 reproductive risk factors: age at menarche, age at menopause, age at first birth, menopausal status, parity, breastfeeding, oral contraceptive (OC) use, hormone replacement therapy (HRT), pregnancy, years since last birth and abortion. For each reproductive risk factor, BC subtype, and study design (case-control/cohort or case-case), random-effects models were used to estimate pooled relative risks and 95% confidence intervals.
A total of 75 studies met the inclusion criteria for systematic review. Among the case-control/cohort studies, later age at menarche and breastfeeding were consistently associated with decreased risk of BC across all subtypes, while later age at menopause, later age of first childbirth, and nulliparity/low parity were associated with increased risk of luminal A, luminal B, and HER2 subtypes. In the case-only analysis, compared to luminal A, postmenopausal status increased the risk of HER2 and TNBC. Associations were less consistent across subtypes for OC and HRT use.
Identifying common risk factors across BC subtypes can enhance the tailoring of prevention strategies, and risk stratification models can benefit from subtype specificity. Adding breastfeeding status to current BC risk prediction models can enhance predictive ability, given the consistency of the associations across subtypes.
生殖因素与乳腺癌(BC)风险之间的关联因分子亚型而异(即 luminal A、luminal B、HER2 和三阴性/基底样[TNBC])。在这项系统评价和荟萃分析中,我们总结了生殖因素与 BC 亚型之间的关联。
如果研究检查了 11 种生殖风险因素中的一种与 BC 亚型之间的关系,则纳入 2000 年至 2021 年的研究:初潮年龄、绝经年龄、初产年龄、绝经状态、产次、母乳喂养、口服避孕药(OC)使用、激素替代疗法(HRT)、妊娠、上次分娩后年限和流产。对于每种生殖风险因素、BC 亚型和研究设计(病例对照/队列或病例-病例),使用随机效应模型估计汇总相对风险和 95%置信区间。
共有 75 项研究符合系统评价的纳入标准。在病例对照/队列研究中,初潮年龄较晚和母乳喂养与所有亚型的 BC 风险降低一致相关,而绝经年龄较晚、初产年龄较晚和不孕/低产与 luminal A、luminal B 和 HER2 亚型的风险增加相关。在仅病例分析中,与 luminal A 相比,绝经后状态增加了 HER2 和 TNBC 的风险。OC 和 HRT 使用的关联在各亚型之间不太一致。
确定 BC 亚型之间的共同风险因素可以增强预防策略的针对性,风险分层模型可以从亚型特异性中受益。鉴于各亚型之间的关联具有一致性,将母乳喂养状态添加到当前的 BC 风险预测模型中可以提高预测能力。