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炎症指数作为肌肉侵入性膀癌的预测标记

Maciej Jaromin¹, Piotr Kutwin¹, Tomasz Konecki¹

¹1st Urology Department, Medical University of Lodz, 90-419 Łódź, Poland.

|January 10, 2026

概括

基于炎症的生物标志物如SII,SIRI,PIV和PLR可以帮助预测肌肉侵入性膀癌. 这些廉价的标记物可能有助于在最终病理学报告之前进行早期诊断.

科学领域:

在瘤学瘤学.
生物标志物生物标志物
炎症炎症是一种炎症.

背景情况:

准确区分非肌肉侵入性膀癌 (NMIBC) 和肌肉侵入性膀癌 (MIBC) 对于有效的膀癌治疗至关重要.
基于炎症的生物标志物正在成为癌症诊断和预后的宝贵工具.
这项研究调查了系统性炎症指数 (SII),系统性炎症反应指数 (SIRI),泛免疫性炎症值 (PIV) 和血小板与淋巴细胞比率 (PLR) 对肌肉侵入性疾病的预测潜力.

研究的目的:

评估SII,SIRI,PIV和PLR在区分NMIBC和MIBC方面的实用性.
评估这些炎症指数作为肌肉侵入性膀癌的预测因素的作用.
确定这些生物标志物的最佳切割值,以识别肌肉侵入性疾病.

主要方法:

分析了310名膀瘤患者的完整血清结果,这些患者在经尿道切除膀瘤 (TURBT) 之前.
计算SII,SIRI,PIV和PLR的方法.
统计分析包括ANOVA,Tukey的后期测试,ROC曲线分析和后勤回归模型.

主要成果:

所有研究的炎症指数 (SII,SIRI,PIV,PLR) 在膀瘤阶段之间显示出显著的差异 (p < 0.001).
与肌肉侵入性膀癌相比,在pTa瘤中观察到这些指数的较低值.
后勤回归模型显示出有前途的诊断性能,AUC值在0.795到0.821.1之间.

结论:

基于炎症的指数在膀癌的不同阶段之间有显著差异,可以帮助早期识别肌肉侵入性疾病.
这些广泛使用和廉价的生物标志物在确定病理之前评估可疑的MIBC时具有潜在价值.
使用SII,SIRI,PIV和PLR可能会提高膀癌的诊断过程.

关键词:

这是一个MICBB,MICBB是MICB.这是NMICBBNMICB.在 PIVIV 中.在PLR PLR中,在这里,SILLO.斯里里斯拉夫斯里里斯拉夫膀癌:膀癌是一种癌症.诊断诊断诊断诊断诊断炎症指数炎症指数炎症指数炎症指数预测模型预测模型

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