Su Yon Jung, Jeanette C Papp, Eric M Sobel, Matteo Pellegrini, Herbert Yu
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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. 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引用次数: 0
摘要
胰岛素抵抗(IR)是非裔美国人(AA)绝经后妇女罹患乳腺癌(BC)的公认风险因素。虽然肥胖和胰岛素抵抗在非裔美国人中的发病率高于白人妇女,但在有关胰岛素抵抗系统调控的全基因组研究中,非裔美国人的代表性却不足。通过研究数据中可用的 780 个全基因组 IR 单核苷酸多态性(SNPs),我们在随机生存森林框架中对 4689 名 AA 妇女进行了测试。通过 37 种与 BC 相关的生活方式因素,我们进行了基因与环境交互作用分析,以估算出最有影响力的遗传和行为因素对 BC 的风险预测,并评估了它们对 BC 风险的联合影响。通过在预测模型中考虑 BC 中单个 SNP 的变化,我们发现 PCSK1、SPC25、ADCY5 和 MTNR1B 中的四个空腹血糖相关 SNP 和三个生活方式因素(吸烟、口服避孕药和绝经年龄)是对 BC 风险最具预测性的标记。我们对风险基因型和生活方式与吸烟的联合分析表明,基因-生活方式剂量依赖性对增加 BC(尤其是雌激素/孕激素阳性(ER/PR+)BC)风险有协同作用。在长期吸烟和接触女性荷尔蒙的女性中,吸烟的联合效应更为显著。与代谢生物标志物相关的顶级全基因组关联-SNPs与生活方式相结合,协同提高了AA妇女中侵袭性ER/PR+ BC风险的可预测性。我们的研究结果突显了针对携带特定风险基因型和生活方式的女性的通用性针对性预防干预措施。
Genetic variants of glucose metabolism and exposure to smoking in African American breast cancer.
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.
期刊介绍:
Endocrine-Related Cancer is an official flagship journal of the Society for Endocrinology and is endorsed by the European Society of Endocrinology, the United Kingdom and Ireland Neuroendocrine Society, and the Japanese Hormones and Cancer Society.
Endocrine-Related Cancer provides a unique international forum for the publication of high quality original articles describing novel, cutting edge basic laboratory, translational and clinical investigations of human health and disease focusing on endocrine neoplasias and hormone-dependent cancers; and for the publication of authoritative review articles in these topics.
Endocrine neoplasias include adrenal cortex, breast, multiple endocrine neoplasia, neuroendocrine tumours, ovary, prostate, paraganglioma, parathyroid, pheochromocytoma pituitary, testes, thyroid and hormone-dependent cancers. Neoplasias affecting metabolism and energy production such as bladder, bone, kidney, lung, and head and neck, are also considered.