构建外体非编码RNA特征以通过机器学习进行胃癌患者的非侵入性早期检测:一项多队列研究
Ze-Rong Cai1, Yong-Qiang Zheng1, Yan Hu1
1State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Gut
|January 3, 2025
概括
一种新的血清外体非编码RNA (ncRNA) 签名有效地提高了早期胃癌 (GC) 诊断. 这种液体活检方法与传统生物标志物相比,显示出更高的准确性,有助于早期检测.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物标志物发现发现
背景情况:
- 胃癌 (GC) 是一种普遍存在的疾病,缺乏准确的早期诊断方法.
- 外体非编码RNAs (ncRNAs) 正在成为癌症检测的有希望的液体活检生物标志物.
- 需要改进的诊断工具,以提高胃癌的早期检测.
研究的目的:
- 为了识别血清外体ncRNA签名,以改善胃癌的诊断.
- 开发和验证基于外体ncRNA的诊断模型,用于胃癌检测.
主要方法:
- 来自GC患者和健康捐赠者的血清外体被使用RNA测序分析.
- 使用定量逆转录PCR (qRT-PCR) 验证了潜在的GC生物标志物.
- 使用LASSO-逻辑回归构建了一个诊断模型,并使用接收器运行特征曲线进行评估.
主要成果:
- RNA测序确定了182个候选ncRNA生物标记物,其中31个得到了验证.
- 来自四个长ncRNA的综合诊断得分 (cd-score) 显示了高的诊断准确性 (AUC 0.959-0.949).
- cd-score的表现优于传统的生物标志物,有效地识别了早期GC患者.
结论:
- 拟议的血清外体ncRNA签名作为一个有前途的液体活检用于早期GC诊断.
- 这种方法提供了一种非侵入性方法,以提高胃癌的诊断准确度.
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