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乳腺癌风险预测与预防的最新进展。

Update on breast cancer risk prediction and prevention.

作者信息

Sestak Ivana, Cuzick Jack

机构信息

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.

出版信息

Curr Opin Obstet Gynecol. 2015 Feb;27(1):92-7. doi: 10.1097/GCO.0000000000000153.

Abstract

PURPOSE OF REVIEW

Breast cancer is the most common cancer in women worldwide. This review will focus on current prevention strategies for women at high risk.

RECENT FINDINGS

The identification of women who are at high risk of developing breast cancer is key to breast cancer prevention. Recent findings have shown that the inclusion of breast density and a panel of low-penetrance genetic polymorphisms can improve risk estimation compared with previous models. Preventive therapy with aromatase inhibitors has produced large reductions in breast cancer incidence in postmenopausal women. Tamoxifen confers long-term protection and is the only proven preventive treatment for premenopausal women. Several other agents, including metformin, bisphosphonates, aspirin and statins, have been found to be effective in nonrandomized settings.

SUMMARY

There are many options for the prevention of oestrogen-positive breast cancer, in postmenopausal women who can be given a selective oestrogen receptor modulator or an aromatase inhibitor. It still remains unclear how to prevent oestrogen-negative breast cancer, which occurs more often in premenopausal women. Identification of women at high risk of the disease is crucial, and the inclusion of breast density and a panel of genetic polymorphisms, which individually have low penetrance, can improve risk assessment.

摘要

综述目的

乳腺癌是全球女性中最常见的癌症。本综述将聚焦于针对高危女性的当前预防策略。

最新发现

识别出有患乳腺癌高风险的女性是乳腺癌预防的关键。最近的研究结果表明,与以往模型相比,纳入乳腺密度和一组低外显率基因多态性可改善风险评估。芳香化酶抑制剂预防性治疗已使绝经后女性乳腺癌发病率大幅降低。他莫昔芬可提供长期保护,是唯一经证实的绝经前女性预防性治疗药物。包括二甲双胍、双膦酸盐、阿司匹林和他汀类药物在内的其他几种药物,已在非随机研究中被发现有效。

总结

对于绝经后可给予选择性雌激素受体调节剂或芳香化酶抑制剂的女性,预防雌激素受体阳性乳腺癌有多种选择。如何预防雌激素受体阴性乳腺癌仍不清楚,这种类型的乳腺癌在绝经前女性中更常见。识别出患该病高风险的女性至关重要,纳入乳腺密度和一组个体外显率低的基因多态性可改善风险评估。

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