Breast cancer: genetic personal risk factors: A review

Q4 Medicine
Maria A. Zolotykh, Airat I. Bilyalov, Alfiya I. Nesterova, Albert M. Gimranov, Julia V. Filina, Albert A. Rizvanov, Regina R. Miftakhova
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引用次数: 1

Abstract

Determination of cancer risk factors allow us to develop diagnostics tests that improved identification and reduced the rate of mortality of most frequent cancer diseases including breast cancer, prostate cancer, gastrointestinal tumors. Today individual risk of breast cancer considers personal genetics, medical history of patient, lifestyle, and a number of additional factors. Calculation of the first mathematical models for breast cancer risk assessment included anthropometric data, hormonal status, and family history of cancer. The discovery of BRCA1 and BRCA2 genes role in the development of breast cancer and the accumulation of data from population studies contributed to the introduction of the genetic component into mathematical models. The trend of the last decade is the integration of the polygenic component into the scheme for calculating the individual risk of breast cancer. In this review, we have analyzed existing models, assessed their relevance for certain groups of patients, studied the trends in the development of methods for molecular genetic diagnosis of breast cancer and determining the personal risk of developing the disease.
乳腺癌:遗传的个人危险因素:综述
确定癌症风险因素使我们能够开发诊断测试,从而提高对最常见癌症疾病(包括乳腺癌、前列腺癌、胃肠道肿瘤)的识别并降低死亡率。今天,乳腺癌的个体风险考虑了个人遗传、患者的病史、生活方式和许多其他因素。计算乳腺癌风险评估的第一个数学模型包括人体测量数据、激素状况和癌症家族史。BRCA1和BRCA2基因在乳腺癌发展中的作用的发现以及人口研究数据的积累有助于将遗传成分引入数学模型。过去十年的趋势是将多基因成分整合到计算乳腺癌个体风险的方案中。在这篇综述中,我们分析了现有的模型,评估了它们对某些患者群体的相关性,研究了乳腺癌分子遗传学诊断方法的发展趋势,并确定了患乳腺癌的个人风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Modern Oncology
Journal of Modern Oncology Medicine-Oncology
CiteScore
0.50
自引率
0.00%
发文量
0
审稿时长
5 weeks
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