Association of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer.

医学 阿替唑单抗 彭布罗利珠单抗 杜瓦卢马布 无容量 癌症 癌症研究 免疫检查点 免疫系统 非小细胞肺癌
作者
Niki Gavrielatou,Yuting Liu,Ioannis A. Vathiotis,Jon Zugazagoitia,Thazin Nwe Aung,Saba Shafi,Aileen Fernandez,Kurt A. Schalper,Amanda Psyrri,David L. Rimm
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
标识
DOI:10.1158/1078-0432.ccr-21-2649
摘要

Purpose: Programmed cell death protein 1(PD-1)/programmed death-ligand 1 (PD-L1) interaction suppresses local T cell responses and promotes peripheral tolerance. In the present study, we focus on PD-1/PD-L1 co-location as a surrogate for this interaction and assess its association with immunotherapy outcomes in patients with non-small cell lung cancer (NSCLC). Experimental Design: Pre-treatment biopsies from a retrospective cohort of 154 immunotherapy-treated patients with advanced NSCLC were analysed. Expression of PD-1 and PD-L1 was assessed by multiplexed quantitative immunofluorescence (QIF) and PD-1 expression in the same pixels as PD-L1 (called a co-location score) was measured using an algorithm to define overlapping expression areas. Co-location scores were correlated with immunotherapy outcomes and PD-L1 tumor proportion score. Results: PD-1/PD-L1 co-location score was associated with best overall response (p=0.0012), progression free survival (p=0.0341) and overall survival after immunotherapy (p=0.0249). The association was driven by patients receiving immune checkpoint inhibitors in the second or subsequent line of treatment. PD-L1 TPS by IHC was also correlated with best overall response and progression-free survival. PD-L1 measured within the tumor compartment by QIF did not show any significant association with either best overall response or overall survival. Finally, co-location score was not associated with PD-L1 expression by either method. Conclusions: Based on our findings, co-location score shows promise as a biomarker associated with outcome after immunotherapy. With further validation, it could have value as a predictive biomarker for the selection of NSCLC patients receiving treatment with immune checkpoint inhibitors.
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