College of Medicine, QU Health, Qatar University, Doha, Qatar.
Department of Pathology, University of Oklahoma College of Medicine, Oklahoma City, Oklahoma, United States.
Biomol Biomed. 2023 Feb 1;23(1):15-25. doi: 10.17305/bjbms.2022.7953.
Immunotherapy, based on immune checkpoint inhibitors targeting the Programmed cell death ligand 1 (PD-L1) and/or Programmed Death Receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from immune checkpoint inhibitors. Tumor PD-L1 expression, assessed by immunohistochemistry, is the most widely validated and used predictive biomarker to guide the selection of patients for immune checkpoint inhibitors. PD-L1 assessment may be challenging due to the necessity for different companion diagnostic assays for required specific immune checkpoint inhibitors and a relatively high level of inter-assay variability in terms of performance and cutoff levels. In this review, we discuss the role of PD-L1 immunohistochemistry as a predictive test in immunotherapy (immuno-oncology), highlight the complexity of the PD-L1 testing landscape, discuss various preanalytical, analytical and clinical issues that are associated with PD-L1 assays, and provide some insights into optimization of PD-L1 as a predictive biomarker in immuno-oncology.
免疫疗法基于针对程序性死亡配体 1(PD-L1)和/或程序性死亡受体 1(PD-1)的免疫检查点抑制剂,极大地改善了各种癌症患者的预后。然而,只有约 30%的患者从免疫检查点抑制剂中获益。肿瘤 PD-L1 表达的免疫组织化学评估是最广泛验证和使用的预测生物标志物,用于指导免疫检查点抑制剂的选择。由于需要针对特定免疫检查点抑制剂的不同伴随诊断检测,以及在性能和截止值方面相对较高的检测间变异性,PD-L1 评估可能具有挑战性。在这篇综述中,我们讨论了 PD-L1 免疫组织化学作为免疫治疗(免疫肿瘤学)中的预测性检测的作用,强调了 PD-L1 检测的复杂性,讨论了与 PD-L1 检测相关的各种分析前、分析和临床问题,并对优化 PD-L1 作为免疫肿瘤学中的预测生物标志物提供了一些见解。