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通过前列腺液代谢物和细胞外膀来诊断前列腺癌的分子水平可解释的SERS诊断
Yang Cheng1, Xinyuan Bi2, Bo Liu1
1Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China.
ACS sensors
|January 28, 2026
概括
使用前列腺液 (PSF) 分析改善前列腺癌 (PCa) 诊断. 将代谢物和小细胞外囊泡 (sEV) 与临床数据相结合,提供了一个高度准确的,非侵入性的查方法.
科学领域:
- 生物医学工程 生物医学工程
- 分析化学 分析化学
- 在瘤学瘤学.
背景情况:
- 前列腺癌 (PCa) 是一个重大的全球健康挑战.
- 目前的查方法缺乏特异性,导致过度诊断.
- 前列腺液 (PSF) 是一种尚未探索的生物流体,具有诊断潜力.
研究的目的:
- 通过使用SERS研究PSF代谢产物和小细胞外囊泡 (sEVs) 中PCa相关的变化.
- 探索PSF组件之间的相互关系,以改善PCa诊断.
- 开发一种融合诊断模型,用于准确而非侵入性的PCa检测.
主要方法:
- 使用了分子级别可解释的表面增强拉曼光谱法 (SERS).
- 使用MORE SERSome技术分析了PSF代谢物和SEVs.
- 构建了一个融合诊断模型,整合了代谢物,sEV和临床变量.
主要成果:
- 在PCa患者中,埃尔戈西欧内因和脱氧诺辛被确定为差异性代谢物.
- 融合模型整合了PSF代谢物和sEVs,显著提高了诊断准确度.
- 该模型与临床数据相结合时达到0.93的AUC,优于现有方法.
结论:
- 使用SERS进行PSF分析为PCa诊断提供了一个有前途的非侵入性策略.
- 由于PSF代谢物和sEV的诊断互补性,提高了准确性.
- 这种方法可以指导PCa诊断和活检决策,减少过度诊断.
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