Gniadek Thomas J, Li Qing Kay, Tully Ellen, Chatterjee Samit, Nimmagadda Sridhar, Gabrielson Edward
The Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Mod Pathol. 2017 Apr;30(4):530-538. doi: 10.1038/modpathol.2016.213. Epub 2017 Jan 6.
Predicting response to checkpoint blockade therapy for lung cancer has largely focused on measuring programmed death-ligand 1 (PD-L1) expression on tumor cells. PD-L1 expression is geographically heterogeneous within many tumors, however, and we questioned whether small tissue samples, such as biopsies, might be sufficiently representative of PD-L1 expression for evaluating this marker in lung cancer tumors. To evaluate the extent of variability of PD-L1 expression in small tissue samples, and how that variability affects accuracy of overall assessment of PD-L1 in lung cancer, we scored immunohistochemical staining for PD-L1 in tissue microarray cores from a series of 79 squamous cell lung cancers and 71 pulmonary adenocarcinomas. Our study found substantial inconsistencies for the percentages of cells staining positive for PD-L1 among different tissue microarray cores in many cases of both adenocarcinoma and squamous cell carcinoma. This variable scoring was seen at both high levels and low levels of PD-L1 expression, and by further evaluation of cases with discordant results on full-face sections to assess geographic distribution of staining, we found that discordant results among different tissue microarray cores reflected geographic variation of PD-L1 expression in those tumors. Moreover, we found that as a result of heterogeneous expression, the sensitivity of a single small tissue sample can be as low as 85% for detecting PD-L1 expression at scoring thresholds commonly used in clinical practice. Based on these studies, we conclude that many cases of lung cancer could be inaccurately or variably scored for PD-L1 expression with a single biopsy sample. Accordingly, lung cancer patients can be inconsistently classified for PD-L1 expression status, particularly when a threshold for the percentage of positive cells is used to determine eligibility for checkpoint blockade therapy.
预测肺癌对检查点阻断疗法的反应主要集中在测量肿瘤细胞上程序性死亡配体1(PD-L1)的表达。然而,PD-L1表达在许多肿瘤内存在地理异质性,我们质疑诸如活检等小组织样本是否足以代表PD-L1表达,用于评估肺癌肿瘤中的这一标志物。为了评估小组织样本中PD-L1表达的变异性程度,以及这种变异性如何影响肺癌中PD-L1总体评估的准确性,我们对来自79例肺鳞状细胞癌和71例肺腺癌的组织微阵列芯块进行了PD-L1免疫组化染色评分。我们的研究发现,在腺癌和鳞状细胞癌的许多病例中,不同组织微阵列芯块中PD-L1染色阳性细胞的百分比存在大量不一致。这种可变评分在PD-L1表达的高水平和低水平均可见,通过进一步评估全切片结果不一致的病例以评估染色的地理分布,我们发现不同组织微阵列芯块之间的不一致结果反映了这些肿瘤中PD-L1表达的地理变异。此外,我们发现,由于表达异质性,在临床实践中常用的评分阈值下,单个小组织样本检测PD-L1表达的敏感性可低至85%。基于这些研究,我们得出结论,许多肺癌病例使用单个活检样本对PD-L1表达进行评分时可能不准确或存在差异。因此,肺癌患者的PD-L1表达状态分类可能不一致,特别是当使用阳性细胞百分比阈值来确定检查点阻断疗法的 eligibility时。 (注:原文中“eligibility”未明确含义,可根据上下文理解为“适用性”等类似意思)