Evaluating the significance of combining PD-L1 and TILs as biomarkers in non-small cell lung cancer patients treated with immunotherapy: a systematic review.

Y Derraze, S M S Hashemi, E B Ulas, K A Ziesemer, B Lissenberg-Witte, T Radonic, I Bahce
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Abstract

In advanced non-small cell lung cancer (NSCLC), programmed death-ligand 1 (PD-L1) expression is a well-established but suboptimal biomarker for predicting response to immune checkpoint inhibitors (ICIs). Tumor-infiltrating lymphocytes (TILs), particularly CD8+ subsets, have demonstrated potential as complementary biomarker. Despite existing data on each biomarker individually, the combined effect is not fully understood. A systematic search of Ovid/Medline, Embase, and Web of Science identified studies on CD8+ TILs and PD-L1 in NSCLC patients treated with ICIs. The primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary endpoints included objective response rate (ORR) and durable clinical benefit (DCB). Study quality was assessed using the Newcastle-Ottawa Scale. Thirteen studies (2490 patients) were included. PD-L1 expression was associated with longer PFS in 6 of 8 studies (HR: 0.67, 95% CI: 0.49-0.90) but did not significantly correlate with OS. TILs alone showed no significant predictive value for PFS or OS. However, combining both biomarkers provided the strongest predictive value for PFS (HR: 0.39, 95% CI: 0.27-0.57) and OS (HR: 0.42, 95% CI: 0.31-0.56). Combining PD-L1 and TILs may more effectively predict PFS and OS than either biomarker alone, though their clinical application remains complex.

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评价PD-L1和TILs联合作为免疫治疗非小细胞肺癌患者生物标志物的意义:一项系统综述。
在晚期非小细胞肺癌(NSCLC)中,程序性死亡配体1 (PD-L1)表达是预测免疫检查点抑制剂(ICIs)应答的一种成熟但不理想的生物标志物。肿瘤浸润淋巴细胞(til),特别是CD8+亚群,已被证明有潜力作为补充生物标志物。尽管已有关于每种生物标志物的单独数据,但其综合效应尚不完全清楚。在Ovid/Medline、Embase和Web of Science的系统搜索中,发现了在接受ICIs治疗的NSCLC患者中CD8+ TILs和PD-L1的研究。主要结局为无进展生存期(PFS)和总生存期(OS)。次要终点包括客观缓解率(ORR)和持久临床获益(DCB)。使用纽卡斯尔-渥太华量表评估研究质量。纳入13项研究(2490例患者)。在8项研究中,有6项PD-L1表达与较长的PFS相关(HR: 0.67, 95% CI: 0.49-0.90),但与OS无显著相关性。单独的TILs对PFS或OS没有显著的预测价值。然而,结合这两种生物标志物对PFS (HR: 0.39, 95% CI: 0.27-0.57)和OS (HR: 0.42, 95% CI: 0.31-0.56)提供了最强的预测价值。结合PD-L1和TILs可能比单独使用任何一种生物标志物更有效地预测PFS和OS,尽管它们的临床应用仍然很复杂。
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