Omri Loubna, Naigeon Marie, Flippot Ronan, Gavira-Díaz Javier, Poveda-Ferriols Jesus, Nguyen Dan, Abdi Chaimae, Arroyo-Salgado Alvaro, Chaput Nathalie, de Velasco Guillermo, Albigès Laurence, Carril-Ajuria Lucía
Department of Medical Oncology, National Institute of Oncology, Rabat X4FH+66, Morocco.
Medical Oncology Department, Centre Hospitalier Universitaire Brugmann, 1020 Brussels, Belgium.
Explor Target Antitumor Ther. 2024;5(6):1199-1222. doi: 10.37349/etat.2024.00271. Epub 2024 Sep 20.
Immune checkpoint inhibitors (ICI)-based combinations have become the standard first-line treatment for advanced clear cell renal cell carcinoma (ccRCC). Despite significant improvements in survival and the achievement of sustained long-term responses, a subset of patients remains refractory to ICI, and most will eventually develop resistance. Thus, identifying predictive biomarkers for ICI efficacy and resistance is essential for optimizing therapeutic strategies. Up to now, tissue-based biomarkers have not been successful as predictive biomarkers in RCC. Circulating blood-based biomarkers offer a promising alternative. These biomarkers, including circulating immune cells, soluble factors, tumor-derived markers, and those based on metabolomics, are less invasive, offer reproducibility over time, and provide a comprehensive assessment of tumor biology and patient immune status, as well as allow dynamic monitoring during treatment. This review aims to evaluate the current evidence on the different candidate circulating biomarkers being investigated for their potential to predict ICI efficacy in RCC patients.
基于免疫检查点抑制剂(ICI)的联合疗法已成为晚期透明细胞肾细胞癌(ccRCC)的标准一线治疗方案。尽管患者生存率有了显著提高,并实现了持续的长期缓解,但仍有一部分患者对ICI难治,且大多数患者最终会产生耐药性。因此,识别ICI疗效和耐药性的预测生物标志物对于优化治疗策略至关重要。到目前为止,基于组织的生物标志物在RCC中尚未成功作为预测生物标志物。基于循环血液的生物标志物提供了一种有前景的替代方案。这些生物标志物,包括循环免疫细胞、可溶性因子、肿瘤衍生标志物以及基于代谢组学的标志物,侵入性较小,随时间具有可重复性,能对肿瘤生物学和患者免疫状态进行全面评估,还能在治疗期间进行动态监测。本综述旨在评估目前关于正在研究的不同候选循环生物标志物预测RCC患者ICI疗效潜力的证据。