Saftescu Sorin, Vornicu Vlad-Norin, Popovici Dorel-Ionel, Dragomir Radu-Dumitru, Nagy Dana-Sonia, Sandu Daniela-Lidia, Dulan Ana, Negru Șerban-Mircea, Negru Alina-Gabriela
Department of Oncology, Faculty of Medicine, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Department of Cardiology, Faculty of Medicine, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
J Clin Med. 2025 Jul 25;14(15):5271. doi: 10.3390/jcm14155271.
: Despite recent advances in the management of metastatic renal cell carcinoma (mRCC), real-world outcomes remain heterogeneous, and early treatment failure is common. Predictive biomarkers for time to treatment failure (TTF) outside clinical trials are poorly characterized. : To identify clinical and laboratory predictors associated with early treatment failure in a real-world cohort of mRCC patients treated with immune checkpoint inhibitors (ICIs), tyrosine kinase inhibitors (TKIs), or combination regimens. : We conducted a retrospective, single-center analysis of patients with metastatic non-urothelial RCC treated between 2018 and 2023. Cox proportional hazards regression was used to evaluate the association between baseline biological parameters and TTF for each treatment regimen. : Among 137 patients receiving first-line therapy, 50 received Ipilimumab + Nivolumab, 49 Sunitinib, and 17 Avelumab + Axitinib. For Ipilimumab + Nivolumab, elevated AST was significantly associated with shorter TTF. For Avelumab + Axitinib, shorter TTF was associated with lymph node metastases, low lymphocyte count, low creatinine, low BMI, and low hemoglobin. For Cabozantinib in subsequent lines, a higher platelet count, ALT, and presence of liver metastases were associated with shorter TTF. No statistically significant predictors were found for Nivolumab used in the second-line setting. : Routine, accessible biomarkers such as AST, hemoglobin, lymphocyte count, and creatinine may serve as predictors of treatment failure in specific therapeutic contexts. These findings support risk-adapted strategies and individualized monitoring in real-world clinical practice, though further validation in larger cohorts is warranted.
尽管转移性肾细胞癌(mRCC)的管理最近取得了进展,但实际临床结果仍然存在异质性,早期治疗失败很常见。临床试验之外用于预测治疗失败时间(TTF)的生物标志物特征尚不明确。 为了确定在接受免疫检查点抑制剂(ICIs)、酪氨酸激酶抑制剂(TKIs)或联合治疗方案的mRCC患者真实队列中与早期治疗失败相关的临床和实验室预测因素。 我们对2018年至2023年间接受治疗的转移性非尿路上皮RCC患者进行了一项回顾性单中心分析。采用Cox比例风险回归评估每种治疗方案的基线生物学参数与TTF之间的关联。 在137例接受一线治疗的患者中,50例接受伊匹木单抗+纳武单抗,49例接受舒尼替尼,17例接受阿维鲁单抗+阿昔替尼。对于伊匹木单抗+纳武单抗,AST升高与较短的TTF显著相关。对于阿维鲁单抗+阿昔替尼,较短的TTF与淋巴结转移、淋巴细胞计数低、肌酐低、BMI低和血红蛋白低有关。对于后续治疗线中的卡博替尼,较高的血小板计数、ALT和肝转移的存在与较短的TTF相关。在二线治疗中使用纳武单抗未发现有统计学意义的预测因素。 常规的、易于获取的生物标志物,如AST、血红蛋白、淋巴细胞计数和肌酐,可能在特定治疗背景下作为治疗失败的预测指标。这些发现支持在实际临床实践中采用风险适应性策略和个体化监测,不过需要在更大队列中进行进一步验证。
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