在膀癌中进行手术前的基于炎症的免疫预后诺莫:一个多中心研究
Runlin Feng1, Jian Zhang2, Yanping Tao3
1Department of Pathology, The Second Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Frontiers in oncology
|January 30, 2026
概括
这项研究开发了一种新的工具,通过将血液检测结果与瘤特征相结合来预测手术后膀癌存活率. 基于炎症的诺米图提供了一种非侵入性的方法来个性化患者护理.
科学领域:
- 在瘤学瘤学.
- 炎症研究 炎症研究
- 生物统计学 生物统计学
背景情况:
- 系统性炎症是膀癌 (BCa) 进展和预后的关键.
- 术前炎症指数提供预后见解,但缺乏与病理学的整合.
- 需要一个经过验证的临床工具来预测激进囊切除术 (RC) 后的生存率.
研究的目的:
- 为接受RC的膀癌患者开发和验证一个综合手术前炎症指数和组织病理因素的预后诺莫грам.
- 改善个性化的生存预测和指导治疗决策.
主要方法:
- 对1387名接受RC的BCa患者的回顾性分析.
- 提取手术前的炎症指数 (NLR,PLR,SII,SIRI) 和临床病理变量 (AJCC阶段,PNI,LVI).
- 使用LASSO回归,考克斯回归,C指数,ROC曲线,校准图和DCA开发和验证一个名图.
主要成果:
- 开发了一个包含NLR,PLR,AJCC阶段,PNI和LVI的名图.
- 该模型显示强烈的歧视 (C指数0.78培训,0.72验证) 和预测准确性 (AUC>0.75在1,3,5年).
- 优秀的校准和临床实用性得到了DCA的证实.
结论:
- 为接受RC的BCa患者创建了一种经过验证的,非侵入性的和具有成本效益的预后诺姆图.
- 通过结合血液学和病理学特征,名图有效地预测整体存活率.
- 该工具有助于进行手术前咨询,监测和辅助治疗决策,以个性化管理膀癌症.
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