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多模式生物标志物在结直肠癌的诊断性能
Shuang Yang1, Yuqing Wang1, Jiang Li1
1Department of Clinical Laboratory, Hunan Provincial People's Hospital and The first-affiliated hospital of Hunan normal university, No.61 Jiefang West Road, Changsha, 410005, Hunan Province, China.
Scientific reports
|January 27, 2026
概括
这项研究表明,结合血甲基化SEPT9 (mSEPT9),CEA,CA19-9,FOBT,RDW-CV和PLR可以改善结直肠癌 (CRC) 诊断. 综合生物标志物模型为早期CRC检测提供了一个高度敏感和特定的非侵入性策略.
科学领域:
- 在瘤学瘤学.
- 生物标志物发现发现
- 诊断医学 诊断医学 诊断医学
背景情况:
- 结肠直肠癌 (CRC) 的诊断依赖于侵入性手术.
- 对CRC有需要的非侵入性,准确的诊断生物标志物.
- 早期检测显著改善了CRC患者的治疗结果.
研究的目的:
- 评估结直肠癌 (CRC) 综合生物标志物的诊断性能.
- 使用后勤回归建立CRC风险因素的预测模型.
- 通过ROC曲线分析来评估这些生物标志物的诊断疗效.
主要方法:
- 一项前性观察性研究,包括188名CRC患者和693名对照人群.
- 二元物流回归用于CRC风险的预测建模.
- 接收器操作特征 (ROC) 曲线分析以确定诊断准确性.
主要成果:
- 血甲基化SEPT9 (mSEPT9) 和便隐性血液检测 (FOBT) 在CRC患者中显著高 (P < 0.001).
- 在CRC患者中观察到CEA,CA19-9,RDW-CV,RDW-SD,NLR和PLR的升高水平 (P < 0.001).
- 一个结合mSEPT9,CEA,CA19-9,FOBT,RDW-CV和PLR的模型实现了0.939的AUC (灵敏度:0.920,特异性:0.839).
结论:
- mSEPT9,CEA,CA19-9,FOBT,RDW-CV和PLR是与CRC相关的独立因素.
- 综合生物标志物模型显示了CRC的高诊断性能.
- 这种多生物标志物方法提供了一个有前途的非侵入性策略,以提高CRC诊断.
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