Interaction of insulin-like growth factor-I and insulin resistance-related genetic variants with lifestyle factors on postmenopausal breast cancer risk

乳腺癌 胰岛素抵抗 单核苷酸多态性 生物 肥胖 癌症 风险因素 内分泌学 全基因组关联研究 内科学 遗传学 医学 肿瘤科 基因 基因型
作者
Su Yon Jung,Gloria Y.F. Ho,Thomas E. Rohan,Howard D. Strickler,Jennifer W. Bea,Jeanette C. Papp,Eric M. Sobel,Zuo‐Feng Zhang,Carolyn J. Crandall
出处
期刊:Breast Cancer Research and Treatment [Springer Nature]
卷期号:164 (2): 475-495 被引量:9
标识
DOI:10.1007/s10549-017-4272-y
摘要

Genetic variants and traits in metabolic signaling pathways may interact with obesity, physical activity, and exogenous estrogen (E), influencing postmenopausal breast cancer risk, but these inter-related pathways are incompletely understood. We used 75 single-nucleotide polymorphisms (SNPs) in genes related to insulin-like growth factor-I (IGF-I)/insulin resistance (IR) traits and signaling pathways, and data from 1003 postmenopausal women in Women’s Health Initiative Observation ancillary studies. Stratifying via obesity and lifestyle modifiers, we assessed the role of IGF-I/IR traits (fasting IGF-I, IGF-binding protein 3, insulin, glucose, and homeostatic model assessment-insulin resistance) in breast cancer risk as a mediator or influencing factor. Seven SNPs in IGF-I and INS genes were associated with breast cancer risk. These associations differed between non-obese/active and obese/inactive women and between exogenous E non-users and users. The mediation effects of IGF-I/IR traits on the relationship between these SNPs and cancer differed between strata, but only roughly 35% of the cancer risk due to the SNPs was mediated by traits. Similarly, carriers of 20 SNPs in PIK3R1, AKT1/2, and MAPK1 genes (signaling pathways–genetic variants) had different associations with breast cancer between strata, and the proportion of the SNP–cancer relationship explained by traits varied 45–50% between the strata. Our findings suggest that IGF-I/IR genetic variants interact with obesity and lifestyle factors, altering cancer risk partially through pathways other than IGF-I/IR traits. Unraveling gene–phenotype–lifestyle interactions will provide data on potential genetic targets in clinical trials for cancer prevention and intervention strategies to reduce breast cancer risk.
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