Department of Pathology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
PALGA Foundation, De Bouw 123, 3991 SZ, Houten, the Netherlands.
Lung Cancer. 2021 Sep;159:117-126. doi: 10.1016/j.lungcan.2021.07.012. Epub 2021 Jul 22.
Immunohistochemical expression of programmed death-ligand 1 (PD-L1) is used as a predictive biomarker for prescription of immunotherapy to non-small cell lung cancer (NSCLC) patients. Accurate assessment of PD-L1 expression is therefore crucial. In this study, the extent of interlaboratory variation in PD-L1 positivity in the Netherlands was assessed, using real-world clinical pathology data.
Data on all NSCLC patients in the Netherlands with a mention of PD-L1 testing in their pathology report from July 2017 to December 2018 were extracted from PALGA, the nationwide network and registry of histo- and cytopathology in the Netherlands. PD-L1 positivity rates were determined for each laboratory that performed PD-L1 testing, with separate analyses for histological and cytological material. Two cutoffs (1% and 50%) were used to determine PD-L1 positivity. Differences between laboratories were assessed using funnel plots with 95% confidence limits around the overall mean.
6,354 patients from 30 laboratories were included in the analysis of histology data. At the 1% cutoff, maximum interlaboratory variation was 39.1% (32.7%-71.8%) and ten laboratories (33.3%) differed significantly from the mean. Using the 50% cutoff, four laboratories (13.3%) differed significantly from the mean and maximum variation was 23.1% (17.2%-40.3%). In the analysis of cytology data, 1,868 patients from 23 laboratories were included. Eight laboratories (34.8%) differed significantly from the mean in the analyses of both cutoffs. Maximum variation was 41.2% (32.2%-73.4%) and 29.2% (14.7%-43.9%) using the 1% and 50% cutoffs, respectively.
Considerable interlaboratory variation in PD-L1 positivity was observed. Variation was largest using the 1% cutoff. At the 50% cutoff, analysis of cytology data demonstrated a higher degree of variation than the analysis of histology data.
程序性死亡配体 1(PD-L1)的免疫组化表达被用作预测非小细胞肺癌(NSCLC)患者免疫治疗处方的生物标志物。因此,准确评估 PD-L1 表达至关重要。在这项研究中,使用真实世界的临床病理学数据评估了荷兰实验室间 PD-L1 阳性率的差异程度。
从荷兰全国组织病理学和细胞学网络和注册中心 PALGA 中提取了 2017 年 7 月至 2018 年 12 月所有在病理学报告中提及 PD-L1 检测的荷兰 NSCLC 患者的数据。为每个进行 PD-L1 检测的实验室确定了 PD-L1 阳性率,并分别对组织学和细胞学材料进行了分析。使用 1%和 50%两个截断值来确定 PD-L1 阳性。使用带有 95%置信区间的漏斗图评估实验室间的差异。
在组织学数据分析中,纳入了来自 30 个实验室的 6354 名患者。在 1%的截断值下,最大实验室间差异为 39.1%(32.7%-71.8%),10 个实验室(33.3%)与平均值差异显著。使用 50%的截断值,四个实验室(13.3%)与平均值差异显著,最大差异为 23.1%(17.2%-40.3%)。在细胞学数据分析中,纳入了来自 23 个实验室的 1868 名患者。在两个截断值的分析中,有 8 个实验室(34.8%)与平均值差异显著。使用 1%和 50%的截断值,最大差异分别为 41.2%(32.2%-73.4%)和 29.2%(14.7%-43.9%)。
观察到 PD-L1 阳性率存在相当大的实验室间差异。使用 1%的截断值时,差异最大。在 50%的截断值下,细胞学数据分析显示出比组织学数据分析更高的变异性。