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遗传和环境预测因子、内源性激素和生长因子与日本女性雌激素受体阳性乳腺癌的风险。

Genetic and environmental predictors, endogenous hormones and growth factors, and risk of estrogen receptor-positive breast cancer in Japanese women.

机构信息

Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Mizuho-ku, Nagoya, Japan.

出版信息

Cancer Sci. 2011 Nov;102(11):2065-72. doi: 10.1111/j.1349-7006.2011.02047.x. Epub 2011 Aug 24.

Abstract

The incidence of breast cancer in Japanese women has doubled in all age groups over the past two decades. We have recently shown that this marked increase is mostly due to an increase in the estrogen receptor (ER)-positive subtype. It is necessary to establish risk factors capable of predicting the risk of ER-positive breast cancer that will enable the efficient selection of candidates for preventive therapy. We analyzed genetic factors, including 14 single nucleotide polymorphisms (SNPs), environmental risk factors (body mass index, age at menarche, pregnancy, age at first birth, breastfeeding, family history of breast cancer, age at menopause, use of hormone replacement therapy, alcohol intake, and smoking), serum hormones and growth factors (estradiol, testosterone, prolactin, insulin-like growth factor 1 [IGF1] and IGF binding protein 3 [IGFBP3]), and mammographic density in 913 women with breast cancer and 278 disease-free controls. To identify important risk factors, risk prediction models for ER-positive breast cancer in both pre- and postmenopausal women were created by logistic regression analysis. In premenopausal women, one SNP (CYP19A1-rs10046), age, pregnancy, breastfeeding, alcohol intake, serum levels of prolactin, testosterone, and IGFBP3 were considered to be risk predictors. In postmenopausal women, one SNP (TP53-rs1042522), age, body mass index, age at menopause, serum levels of testosterone, and IGF1 were identified as risk predictors. Risk factors may differ between women of different menopausal status, and inclusion of common genetic variants and serum hormone measurements as well as environmental factors might improve risk assessment models. Further validation studies will clarify appropriate risk groups for preventive therapy.

摘要

在过去的二十年中,日本女性各年龄段乳腺癌的发病率翻了一番。我们最近表明,这种显著增加主要归因于雌激素受体(ER)阳性亚型的增加。有必要建立能够预测 ER 阳性乳腺癌风险的危险因素,以便能够有效地选择预防性治疗的候选者。我们分析了遗传因素,包括 14 个单核苷酸多态性(SNP),环境危险因素(体重指数、初潮年龄、妊娠、初产年龄、母乳喂养、乳腺癌家族史、绝经年龄、激素替代疗法的使用、饮酒和吸烟)、血清激素和生长因子(雌二醇、睾酮、催乳素、胰岛素样生长因子 1 [IGF1]和 IGF 结合蛋白 3 [IGFBP3])以及 913 例乳腺癌患者和 278 例无病对照者的乳腺 X 线密度。为了确定重要的危险因素,我们通过逻辑回归分析为绝经前和绝经后妇女建立了 ER 阳性乳腺癌的风险预测模型。在绝经前妇女中,一个 SNP(CYP19A1-rs10046)、年龄、妊娠、母乳喂养、饮酒、催乳素、睾酮和 IGFBP3 血清水平被认为是危险因素。在绝经后妇女中,一个 SNP(TP53-rs1042522)、年龄、体重指数、绝经年龄、睾酮和 IGF1 血清水平被确定为危险因素。危险因素可能因绝经状态不同的妇女而异,并且包括常见的遗传变异和血清激素测量以及环境因素可能会改善风险评估模型。进一步的验证研究将阐明预防性治疗的合适风险群体。

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