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尿代谢分析作为一种非侵入性方法,用于预测前列腺癌中的生化复发
Jorge Panach-Navarrete1,2,3, Vannina González-Marrachelli2,4, José Manuel Morales-Tatay2,5
1Department of Urology, University Clinic Hospital of Valencia, Valencia, Spain.
Translational andrology and urology
|December 10, 2025
概括
这项研究使用NMR光谱识别了关键的尿路代谢物,以预测前列腺癌复发. 这些发现提供了一种非侵入性方法来监测治疗有效性和患者的治疗结果.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 代谢学 代谢学 代谢学
- 生物化学 生物化学
背景情况:
- 代谢学为识别前列腺癌生物标志物提供了一个有前途的途径.
- 核磁共振 (NMR) 光谱法用于分析尿样.
研究的目的:
- 确定潜在的尿路生物标志物,用于预测前列腺癌患者的生物化学复发.
- 利用尿路代谢物概况,开发一种生物化学复发的预测模型.
主要方法:
- 从前列腺癌患者收集尿液样本,这些样本是在活检和按摩后收集的.
- 使用NMR光谱分析收集的尿样.
- 对代谢物和临床数据进行了单变量和多变量分析.
主要成果:
- 通过部分最小平方差分分析 (PLS-DA) 识别的25种有影响力的代谢物开发了一个预测模型.
- 该模型实现了高的预测准确性:AUC为0.95,灵敏度为80%,特异性为98%,PPV为92%和NPV为96%.
- 预测模型中占主导地位的代谢物与氨基酸代谢和糖解有关.
结论:
- 尿路代谢资料可以有效地预测前列腺癌中的生物化学复发.
- 关键的预测分子与氨基酸代谢和糖解路径有关.
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