Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy.
Department of Experimental and Clinical Medicine, University of Firenze, 50134 Firenze, Italy.
Int J Mol Sci. 2020 Jun 30;21(13):4691. doi: 10.3390/ijms21134691.
Systemic treatment of renal cancer (RCC) has undergone remarkable changes over the past 20 years with the introduction of immunotherapeutic agents targeting programmed cell death (PD-1)/programmed death-ligand 1 (PD-L1) axis, as a single-agent or combined with anti-CTLA-4 monoclonal antibodies (MoAbs) or a multi-target vascular endothelial growth factor-(VEGF) tyrosine kinase inhibitor (TKI). In this paper, we review the main evidence on the use of Immune Checkpoint Inhibitors (ICIs) for RCC treatment from the first demonstration of activity of a nivolumab single agent in a phase I trial to the novel combination strategies (anti-PD-1 plus anti-CTLA4 or anti-PD-1 plus TKI). In addition, we discuss the use of anti-PD-1/PD-L1 agents in patients with non-clear cells and rare histological subtype RCC. Then, we critically examine the current findings in biomarkers that have been proposed to be prognostic or predictive to the response of immunotherapy including immune gene expression signature, B7-H1 expression, PBRM1 loss of function, PD-L1 expression, frame shift indel count, mutations in bromodomain-containing genes in patients with MiT family translocation RCC (tRCC), high expression of the T-effector gene signature, and a high myeloid inflammation gene expression pattern. To date, a single biomarker as a predictor of response has not been established. Since the dynamic behavior of the immune response and the different impact of ICI treatment on patients with specific RCC subtypes, the integration of multiple biomarkers and further validation in clinical trials are needed.
过去 20 年来,随着针对程序性细胞死亡(PD-1)/程序性死亡配体 1(PD-L1)轴的免疫治疗药物的引入,肾细胞癌(RCC)的全身治疗发生了显著变化,这些药物可作为单一药物或与抗 CTLA-4 单克隆抗体(MoAb)或多靶点血管内皮生长因子-(VEGF)酪氨酸激酶抑制剂(TKI)联合使用。本文综述了从 I 期临床试验中单用 nivolumab 首次证明活性到新型联合治疗策略(抗 PD-1 联合抗 CTLA-4 或抗 PD-1 联合 TKI)中用于 RCC 治疗的免疫检查点抑制剂(ICI)的主要证据。此外,我们还讨论了抗 PD-1/PD-L1 药物在非透明细胞和罕见组织学亚型 RCC 患者中的应用。然后,我们批判性地检查了目前提出的用于预测免疫治疗反应的生物标志物的研究结果,包括免疫基因表达谱、B7-H1 表达、PBRM1 功能丧失、PD-L1 表达、框架移位缺失计数、Bromodomain-containing 基因在具有 MiT 家族易位 RCC(tRCC)患者中的突变、T 效应基因标志物的高表达以及髓样炎症基因表达模式。迄今为止,尚未确定单个生物标志物作为预测反应的指标。由于免疫反应的动态行为以及 ICI 治疗对特定 RCC 亚型患者的不同影响,需要整合多个生物标志物并在临床试验中进一步验证。