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循环miRNA签名预测了林奇综合征中的癌症发病率 - 一项试点研究

Tero Sievänen¹, Tiina Jokela¹, Matti Hyvärinen¹

¹Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.

Cancer prevention research (Philadelphia, Pa.)

|March 29, 2024

概括

一个新的循环微RNA (c-miR) 签名可以在四年内预测林奇综合征 (LS) 癌症发病率. 这种生物标志物还与体重指数 (BMI) 相相关,为癌症风险管理提供了洞察力.

科学领域:

在瘤学瘤学.
遗传学是一个遗传学.
生物标志物生物标志物

背景情况:

林奇综合征 (LS) 是一种具有高遗传风险的自体主导癌症倾向.
生活方式因素显著改变了LS患者的癌症风险.
有效的癌症风险预测模型对于改善LS患者的生存率至关重要.

研究的目的:

为了研究循环中的microRNA (c-miR) 签名来预测LS癌症发病率.
探索c-miR特征与生活方式风险因素之间的相关性.
开发和验证LS癌症风险的预测模型.

主要方法:

在4年的前性监测期间,从LS载体获得110 c-miR样本的分析.
利用拉索回归来识别癌症预测c-miRs.
开发了一个基于c-miR风险评分的预测模型,并使用5倍交叉验证进行验证.
评估了c-miR风险评分和生活方式因素 (体力活动,BMI,饮食,NSAID使用) 之间的相关性.

主要成果:

鉴定了五种c-miRs (hsa-miR-10b-5p,hsa-miR-125b-5p,hsa-miR-200a-3p,hsa-miR-3613-5p,hsa-miR-3615) 作为癌症预测因素.
c-miR风险得分显著预测了LS癌症发病率 (HR2.72,C指数=0.72),交叉验证结果平均C指数为0.75.
在c-miR风险分数显示与体重指数 (BMI) 的相关性 (r = 0.23,P < 0.01).

结论:

特定的c-miR特征可以在4年时间内预测林奇综合征癌症发病率.
已识别的c-miR特征与BMI相关,这表明生活方式和分子风险预测之间存在联系.
这项试点研究提供了一种新的基于血清miRNA的LS风险预测模型,需要进一步验证.

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