血清微RNA具有突变向RNA修饰:使用优化机器学习工作流程构建的强大癌症检测工具
Wei Liao1, Yuyan Xu2, Mingxin Pan3
1Department of Hepatobiliary Surgery, The First People's Hospital of Foshan, Foshan, Guangdong Province, China.
Scientific reports
|April 19, 2024
概括
研究人员确定了与癌症相关的与RNA修饰相关的微RNA (miRNA). 使用这些miRNA的机器学习模型在检测各种癌症 (包括早期癌症) 中取得了高准确性,提供了潜在的新查工具.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 癌症研究 癌症研究
背景情况:
- 在生物过程和疾病中,RNA的修改至关重要,其中微RNA (miRNA) 起着关键作用.
- 针对miRNAs中的RNA修饰的基因变异可以显著改变它们的功能并影响癌症的发展.
研究的目的:
- 研究与RNA修饰相关的miRNA变体 (RMvar相关的miRNAs) 与瘤发生之间的关联.
- 使用RMvar相关的miRNA和机器学习开发癌症特定的诊断特征.
主要方法:
- 使用了优化的机器学习工作流程,结合了LASSO,RFE和9个ML算法.
- 选了504个与血清RMvar相关的miRNA,以确定候选生物标志物.
- 使用43047个临床样本的大队伍构建和验证诊断签名.
主要成果:
- 开发的特征显示出异常的诊断性能:在验证队列中AUC为0.998,特异性为93.1%,灵敏度为99.3%.
- 该签名显示了各种癌症和疾病的令人满意的诊断能力.
- 成功区分早期瘤,突出其早期癌症检测潜力.
结论:
- 与RMvar相关的miRNA与瘤发育密切相关.
- 提出的基于miRNA的签名是癌症查和早期检测的有效工具.
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