Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
J Thorac Oncol. 2023 Jul;18(7):896-906. doi: 10.1016/j.jtho.2023.03.024. Epub 2023 Apr 6.
This study aimed to evaluate the value of programmed death-ligand 1 (PD-L1) copy number (CN) alteration as an additional biomarker to standard immunohistochemistry (IHC) in predicting response to immune checkpoint inhibitor (ICI) therapy in advanced NSCLC.
Before ICI monotherapy, tumor PD-L1 CN alteration (gain, neutral, or loss) was called using whole-exome sequencing data and compared with IHC results (tumor proportion score ≥50, 1-49, or 0). Progression-free survival (PFS) and overall survival were correlated with both biomarkers. In addition, the impact of CN alteration was further evaluated in two independent cohorts using next-generation sequencing panel.
A total of 291 patients with advanced-stage NSCLC met the study inclusion criteria. Although the IHC classification distinguished the best responsive group (tumor proportion score ≥ 50), the CN-based classification distinguished the worst responsive group (CN loss) from the others (PFS, p = 0.020; overall survival, p = 0.004). After adjusting for IHC results, CN loss was an independent risk factor for progression (adjusted hazard ratio = 1.32, 95% confidence interval: 1.00-1.73, p = 0.049) and death (adjusted hazard ratio = 1.39, 95% confidence interval: 1.05-1.85, p = 0.022). A risk classification system was developed on the basis of IHC and CN profiles, which outperformed the conventional IHC system. In the validation cohorts, CN loss determined by next-generation sequencing panel was independently associated with worse PFS after ICI treatment, revealing its practical value.
This is the first study to directly compare CN alterations with IHC results and survival outcomes after anti-PD-(L)1 therapy. Tumor PD-L1 CN loss can serve as an adjunct biomarker to predict the lack of response. Prospective studies are required to further validate this biomarker.
本研究旨在评估程序性死亡配体 1(PD-L1)拷贝数(CN)改变作为一种额外的生物标志物,以预测晚期 NSCLC 患者对免疫检查点抑制剂(ICI)治疗的反应。
在接受 ICI 单药治疗之前,使用全外显子组测序数据对肿瘤 PD-L1 CN 改变(增益、中性或丢失)进行评估,并与 IHC 结果(肿瘤比例评分≥50、1-49 或 0)进行比较。无进展生存期(PFS)和总生存期与这两种生物标志物相关。此外,使用下一代测序面板在两个独立队列中进一步评估了 CN 改变的影响。
共纳入 291 例晚期 NSCLC 患者,符合研究纳入标准。虽然 IHC 分类区分了最佳反应组(肿瘤比例评分≥50),但 CN 分类区分了最差反应组(CN 丢失)与其他组(PFS,p=0.020;总生存期,p=0.004)。在调整 IHC 结果后,CN 丢失是进展的独立危险因素(调整后的危险比=1.32,95%置信区间:1.00-1.73,p=0.049)和死亡(调整后的危险比=1.39,95%置信区间:1.05-1.85,p=0.022)。基于 IHC 和 CN 特征开发了一种风险分类系统,该系统优于传统的 IHC 系统。在验证队列中,下一代测序面板确定的 CN 丢失与 ICI 治疗后的 PFS 较差独立相关,显示了其实际价值。
这是第一项直接比较 CN 改变与 IHC 结果和抗 PD-(L)1 治疗后生存结果的研究。肿瘤 PD-L1 CN 丢失可作为预测无反应的辅助生物标志物。需要前瞻性研究进一步验证该生物标志物。