Chen Danlei, Zhang Zhuorui, Dong Longsheng, Feng Zhiyuan, Yang Junfeng
Department of Urology, The First People's Hospital of Yunnan Province, Kunming, China.
Department of Urology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Front Immunol. 2025 Aug 13;16:1575497. doi: 10.3389/fimmu.2025.1575497. eCollection 2025.
AIMS: This study aims to investigate the associations between blood laboratory findings, systemic immune-inflammatory factors, ISUP grade, and prognostic outcomes in patients diagnosed with clear cell renal cell carcinoma (ccRCC). METHODS: Data were collected from patients diagnosed with ccRCC at the First People's Hospital of Yunnan Province and Xiangya Hospital of Central South University between 2010 and 2022, encompassing pertinent pathological and clinical information. We employed ordered logistic regression analysis to establish the ISUP grading model and conducted association analyses to explore the relationship between ISUP classification and the 2-year survival rate. RESULTS: A total of 1,635 patients were included in the study. Our findings indicate that ISUP grading is significantly correlated with serum albumin levels, blood chloride concentrations, the platelet-to-lymphocyte ratio (PLR), and the systemic inflammation response index (SIRI). The preoperative 2-year survival model demonstrated associations with platelet counts (PLT), albumin levels, blood chloride concentrations, and PLR, AUC (0.776 95%IC 0.710, 0.843). Furthermore, the postoperative 2-year survival model exhibited robust correlations with PLT, albumin levels, blood chloride concentrations, PLR, and ISUP grade, AUC (0.877, 95%IC 0.825, 0.917). CONCLUSION: This study demonstrated the relationship between systemic immune markers, ISUP classification, and prognosis. It established preoperative models for predicting ISUP classification, as well as models for predicting 2-year survival rates both preoperatively and postoperatively.
目的:本研究旨在探讨透明细胞肾细胞癌(ccRCC)患者的血液实验室检查结果、全身免疫炎症因子、国际泌尿病理学会(ISUP)分级与预后结果之间的关联。 方法:收集2010年至2022年期间在云南省第一人民医院和中南大学湘雅医院被诊断为ccRCC的患者的数据,包括相关的病理和临床信息。我们采用有序逻辑回归分析建立ISUP分级模型,并进行关联分析以探讨ISUP分类与2年生存率之间的关系。 结果:本研究共纳入1635例患者。我们的研究结果表明,ISUP分级与血清白蛋白水平、血氯浓度、血小板与淋巴细胞比值(PLR)以及全身炎症反应指数(SIRI)显著相关。术前2年生存模型显示与血小板计数(PLT)、白蛋白水平、血氯浓度和PLR相关,曲线下面积(AUC)为0.776(95%置信区间0.710,0.843)。此外,术后2年生存模型与PLT、白蛋白水平、血氯浓度、PLR和ISUP分级表现出强烈相关性,AUC为0.877(95%置信区间0.825,0.917)。 结论:本研究证明了全身免疫标志物、ISUP分类与预后之间的关系。建立了术前预测ISUP分类的模型,以及术前和术后预测2年生存率的模型。
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