Remin Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
First Affiliated Hospital of Kunming Medical University, Kunming City, Yunnan Province, China.
Pathol Oncol Res. 2020 Apr;26(2):1319-1324. doi: 10.1007/s12253-019-00707-z. Epub 2019 Aug 6.
Inflammation parameters were verified to predict clinical outcomes of metastatic renal cell carcinoma (mRCC) patients treated with tyrosine kinase inhibitors (TKIs). Here, we developed a novel marker, lactate dehydrogenase (tumor burden marker) to lymphocytes (inflammation marker) ratio (LLR), aimed to reveal the prognostic role of LLR for mRCC patients treated with TKIs. We collected clinical data of mRCC patients treated with TKIs. Receiver operating curve analysis was used to determine the optimal cut-off value. The c-index method was used to determine the best predictive marker for overall survival (OS). Clinicopathological characteristics on OS and progression-free survival (PFS) were evaluated by univariate analysis, and multivariate analyses. LLR provided the greatest improvement in the c-index, and displayed the best marker of the prognostic accuracy for OS. Univariate analysis revealed that LLR, ECOG PS and IMDC risks were significant predictors of OS and PFS. However, multivariate analysis indicated that IMDC risks failed to predict PFS, and only showed predictor of OS. We finally stratifed patients into low LLR (<150) and high LLR (≥150) group with different clinical outcomes. LLR represents a powerful prognostic tool of clinical outcome in mRCC patients treated with TKIs.
炎症参数被证实可预测接受酪氨酸激酶抑制剂(TKI)治疗的转移性肾细胞癌(mRCC)患者的临床结局。在这里,我们开发了一种新的标志物,即乳酸脱氢酶(肿瘤负荷标志物)与淋巴细胞(炎症标志物)比值(LLR),旨在揭示 LLR 对接受 TKI 治疗的 mRCC 患者的预后作用。我们收集了接受 TKI 治疗的 mRCC 患者的临床数据。使用接收者操作特征曲线分析确定最佳截断值。C 指数法用于确定总生存期(OS)的最佳预测标志物。通过单因素分析和多因素分析评估 OS 和无进展生存期(PFS)的临床病理特征。LLR 提供了对 C 指数的最大改善,并显示了 OS 预后准确性的最佳标志物。单因素分析显示,LLR、ECOG PS 和 IMDC 风险是 OS 和 PFS 的显著预测因素。然而,多因素分析表明,IMDC 风险无法预测 PFS,仅显示 OS 的预测因素。我们最终根据不同的临床结局将患者分为低 LLR(<150)和高 LLR(≥150)组。LLR 是接受 TKI 治疗的 mRCC 患者临床结局的强大预后工具。