Molecular Pathology Programme, Centre for Cancer Research and Cell Biology, Queen's University, Belfast, Ireland, United Kingdom.
Molecular Pathology Programme, Centre for Cancer Research and Cell Biology, Queen's University, Belfast, Ireland, United Kingdom; Cellular Pathology, Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, Ireland, United Kingdom; Northern Ireland Biobank, Centre for Cancer Research and Cell Biology, Queen's University, Belfast, Ireland, United Kingdom.
J Thorac Oncol. 2019 Jan;14(1):45-53. doi: 10.1016/j.jtho.2018.09.025. Epub 2018 Oct 6.
Patient suitability to anti-programmed death ligand 1 (PD-L1) immune checkpoint inhibition is key to the treatment of NSCLC. We present, applied to PD-L1 testing: a comprehensive cross-validation of two immunohistochemistry (IHC) clones; our descriptive experience in diagnostic reflex testing; the concordance of IHC to in situ RNA (RNA-ISH); and application of digital pathology.
Eight hundred thirteen NSCLC tumor samples collected from 564 diagnostic samples were analyzed prospectively, and 249 diagnostic samples analyzed retrospectively in tissue microarray format. Validated methods for IHC and RNA-ISH were tested in tissue microarrays and full sections and the QuPath system were used for digital pathology analysis.
Antibody concordance of clones SP263 and 22C3 validation was 97% to 98% in squamous cell carcinoma and adenocarcinomas, respectively. Clinical NSCLC cases were reported as PD-L1-negative (48%), 1% to 49% (23%), and more than 50% (29%), with differences associated to tissue-type and EGFR status. Comparison of IHC and RNA-ISH was highly concordant in both subgroups. Comparison of digital assessment versus manual assessment was highly concordant. Discrepancies were mostly around the 1% clinical threshold. Challenging IHC interpretation included 1) calculating the total tumor cell denominator and the nature of PD-L1 expressing cell aggregates in cytology samples; 2) peritumoral expression of positive immune cells; 3) calculation of positive tumor percentages around clinical thresholds; and 4) relevance of the 100 malignant cell rule.
Sample type and EGFR status dictate differences in the expected percentage of PD-L1 expression. Analysis of PD-L1 is challenging, and interpretative guidelines are discussed. PD-L1 evaluations by RNA-ISH and digital pathology appear reliable, particularly in adenocarcinomas.
患者是否适合接受抗程序性死亡配体 1(PD-L1)免疫检查点抑制剂治疗是治疗 NSCLC 的关键。我们提出了一种综合的免疫组化(IHC)克隆验证方法;在诊断性反射检测中的描述性经验;IHC 与原位 RNA(RNA-ISH)的一致性;以及数字病理学的应用。
前瞻性分析了 564 例诊断性样本中收集的 813 例 NSCLC 肿瘤样本,并回顾性分析了 249 例组织微阵列格式的诊断性样本。在组织微阵列和全切片中验证了 IHC 和 RNA-ISH 的方法,并使用 QuPath 系统进行数字病理学分析。
SP263 和 22C3 克隆的抗体一致性在鳞状细胞癌和腺癌中分别为 97%至 98%。临床 NSCLC 病例报告为 PD-L1 阴性(48%)、1%至 49%(23%)和超过 50%(29%),差异与组织类型和 EGFR 状态有关。在这两个亚组中,IHC 和 RNA-ISH 的比较高度一致。数字评估与手动评估的比较高度一致。差异主要集中在 1%的临床阈值。IHC 解释的挑战包括:1)计算总肿瘤细胞分母和细胞学样本中 PD-L1 表达细胞聚集体的性质;2)肿瘤周围阳性免疫细胞的表达;3)计算临床阈值周围的阳性肿瘤百分比;4)100 个恶性细胞规则的相关性。
样本类型和 EGFR 状态决定了 PD-L1 表达的预期百分比的差异。PD-L1 分析具有挑战性,讨论了解释性指南。RNA-ISH 和数字病理学的 PD-L1 评估似乎是可靠的,特别是在腺癌中。