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尿代谢分析作为诊断前列腺癌的非侵入性方法
Jorge Panach-Navarrete1, Vannina González-Marrachelli2, José Manuel Morales-Tatay3
1Department of Urology. University Clinic Hospital of Valencia. INCLIVA, Health Research Institute, Facultat de Medicina i Odontologia. Universitat de València., CP, Valencia, Spain.
Urologic oncology
|November 14, 2025
概括
尿液NMR光谱检测发现了前列腺癌检测的代谢特征. 这种使用28种代谢物和临床数据的非侵入性方法,在预测癌症存在方面实现了89%的灵敏度.
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:
- 前列腺癌的诊断通常依赖于侵入性手术.
- 需要使用非侵入性诊断方法.
研究的目的:
- 用NMR光谱学定义尿液代谢特征,用于检测前列腺癌.
- 开发一种针对前列腺癌的非侵入性诊断工具.
主要方法:
- 从201名接受前列腺活检的患者收集了尿样.
- 使用NMR光谱分析尿液代谢物.
- 进行了单变量和多变量分析,以确定预测标记.
主要成果:
- 在53.2%的患者中诊断出前列腺癌.
- 一个结合28种尿中代谢物,前列腺体积和超声波怀疑的预测模型实现了0.89.9的AUC.
- 该模型显示了89%的灵敏度,82%的PPV和83%的NPV.
结论:
- 尿液代谢学可以创建前列腺癌诊断的预测模型.
- 将特定的代谢物 (甘油脂,糖解,氨基酸代谢) 与临床数据相结合,是一种有效的诊断策略.
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