Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Histopathology. 2020 Jan;76(2):191-200. doi: 10.1111/his.13946. Epub 2019 Sep 9.
Programmed death-ligand 1 (PD-L1) expression by tumour cells (TC) is a mechanism for tumour immune escape through down-regulation of antitumour T cell responses and is a target for immunotherapy. PD-L1 status as a predictor of treatment response has led to the development of multiple biomarkers with different reference cut-offs. We assessed pathologist consistency in evaluating PD-L1 immunopositivity by examining the inter- and intraobserver agreement using various antibody clones and different cancer types.
PD-L1 expression in TC and immune cells (IC) was manually scored in 27 head and neck squamous cell carcinoma (HSCC), 30 urothelial carcinoma (UC) and breast carcinoma (BC) using three commercial clones (SP263, SP142, 22C3) and one platform-independent test (E1L3N). For interobserver agreement, PD-L1 status was evaluated blindly by three pathologists. For intraobserver agreement, PD-L1 expression was re-evaluated following a wash-out period. Intraclass correlation coefficient (ICC), overall percentage agreement (OPA) and κ-values were calculated. Using clinical algorithms, the percentage of PD-L1-positive cases in HSCC, BC and UC were 15-81%, 47-67% and 7-43%, respectively. The percentage of PD-L1 positive cases relied heavily on the algorithm/cut-off values used. Almost perfect interobserver agreement was achieved using SP263 and E1L3N in HSCC, 22C3, SP142 and E1L3N in BC and 22C3 in UC. The SP142 clone in UC and HSCC showed moderate agreement and was associated with lower ICC and decreased intraobserver concordance.
Excellent inter- and intraobserver agreement can be achieved using SP263, 22C3 and E1L3N, whereas PD-L1 scoring using SP142 clone is associated with a higher level of subjectivity.
肿瘤细胞(TC)程序性死亡配体 1(PD-L1)的表达是肿瘤免疫逃逸的一种机制,通过下调抗肿瘤 T 细胞反应,是免疫治疗的靶点。PD-L1 状态作为治疗反应的预测因子,导致了具有不同参考截止值的多种生物标志物的发展。我们通过使用不同的抗体克隆和不同的癌症类型,评估了病理学家在评估 PD-L1 免疫阳性时的一致性,从而评估了不同的参考截止值。
使用三种商业克隆(SP263、SP142、22C3)和一种平台独立的测试(E1L3N),手动评估了 27 例头颈部鳞状细胞癌(HSCC)、30 例尿路上皮癌(UC)和乳腺癌(BC)中 TC 和免疫细胞(IC)的 PD-L1 表达。为了评估观察者间的一致性,三位病理学家对 PD-L1 状态进行了盲法评估。为了评估观察者内的一致性,在洗脱期后重新评估了 PD-L1 表达。计算了组内相关系数(ICC)、总百分比一致性(OPA)和κ 值。使用临床算法,HSCC、BC 和 UC 中 PD-L1 阳性病例的百分比分别为 15-81%、47-67%和 7-43%。PD-L1 阳性病例的百分比严重依赖于使用的算法/截止值。在 HSCC 中使用 SP263 和 E1L3N、在 BC 中使用 22C3、SP142 和 E1L3N、在 UC 中使用 22C3 几乎可以达到极好的观察者间一致性。UC 和 HSCC 中的 SP142 克隆显示出中等一致性,与较低的 ICC 和观察者内一致性降低相关。
使用 SP263、22C3 和 E1L3N 可以实现极好的观察者间和观察者内的一致性,而使用 SP142 克隆进行 PD-L1 评分则与更高的主观性相关。