Translational Sciences Section, School of Nursing, University of California Los Angeles, Los Angeles, California, USA.
Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California, USA.
Endocr Relat Cancer. 2023 Mar 10;30(4). doi: 10.1530/ERC-22-0184. Print 2023 Apr 1.
Insulin resistance (IR) is a well-established risk factor for breast cancer (BC) development in African American (AA) postmenopausal women. While obesity and IR are more prevalent in AA than in white women, they are under-represented in genome-wide studies for systemic regulation of IR. By examining 780 genome-wide IR single-nucleotide polymorphisms (SNPs) available in our data, we tested 4689 AA women in a Random Survival Forest framework. With 37 BC-associated lifestyle factors, we conducted a gene-environment interaction analysis to estimate risk prediction for BC with the most influential genetic and behavioral factors and evaluated their combined and joint effects on BC risk. By accounting for variations of individual SNPs in BC in the prediction model, we detected four fasting glucose-associated SNPs in PCSK1, SPC25, ADCY5, and MTNR1B and three lifestyle factors (smoking, oral contraceptive use, and age at menopause) as the most predictive markers for BC risk. Our joint analysis of risk genotypes and lifestyle with smoking revealed a synergistic effect on the increased risk of BC, particularly estrogen/progesterone positive (ER/PR+) BC, in a gene-lifestyle dose-dependent manner. The joint effect of smoking was more substantial in women with prolonged exposure to cigarette smoking and female hormones. The top genome-wide association-SNPs associated with metabolic biomarkers in combination with lifestyles synergistically increase the predictability of invasive ER/PR+ BC risk among AA women. Our findings highlight generically targeted preventive interventions for women who carry particular risk genotypes and lifestyles.
胰岛素抵抗(IR)是非洲裔美国(AA)绝经后女性乳腺癌(BC)发展的一个既定风险因素。虽然肥胖和 IR 在 AA 中比在白人女性中更为普遍,但在针对 IR 系统调节的全基因组研究中,AA 代表性不足。通过检查我们数据中可用的 780 个全基因组 IR 单核苷酸多态性(SNP),我们在随机生存森林框架中对 4689 名 AA 女性进行了测试。结合 37 个与 BC 相关的生活方式因素,我们进行了基因-环境相互作用分析,以估计最具影响力的遗传和行为因素对 BC 的风险预测,并评估它们对 BC 风险的综合和联合作用。通过在预测模型中考虑 BC 中个体 SNP 的变化,我们在 PCSK1、SPC25、ADCY5 和 MTNR1B 中检测到四个与空腹血糖相关的 SNP,以及三个生活方式因素(吸烟、口服避孕药使用和绝经年龄)作为 BC 风险的最具预测性标志物。我们对风险基因型和生活方式与吸烟的联合分析表明,吸烟与雌激素/孕激素阳性(ER/PR+)BC 风险增加之间存在协同作用,这种协同作用具有基因-生活方式剂量依赖性。在长期接触香烟和女性激素的女性中,吸烟的联合作用更为显著。与生活方式相结合的与代谢生物标志物相关的全基因组关联 SNP 协同增加了携带特定风险基因型和生活方式的 AA 女性侵袭性 ER/PR+BC 风险的可预测性。我们的研究结果强调了针对携带特定风险基因型和生活方式的女性的一般性靶向预防干预措施。