Differential predictive value of resident memory CD8+T cell subpopulations in patients with non-small-cell lung cancer treated by immunotherapy

Abstract

Background: A high density of resident memory T cells (T_RM) in tumors correlates with improved clinical outcomes in immunotherapy-treated patients. In most clinical studies, T_RM are defined by the CD103 marker. However, it is clearly established that not all T_RM express CD103, but can be defined by other markers (CD49a, CD69, etc). The frequency of these subpopulations of T_RM expressing or not CD103 varies according to the location of the cancer. Little is known about their functionality and their predictive impact on response to immunotherapy. In preclinical models, only some subpopulations of T_RM are associated with cancer vaccine efficacy.

Methods: Multiparametric cytometry analyses were used to demonstrate the presence of T_RM subpopulations in the lung in mice after vaccination and in fresh ex vivo human non-small cell lung cancer (NSCLC). An analysis of the T-cell repertoire of these T_RM was conducted to search for their relationships. Multiplex immunofluorescence techniques were used to quantify intratumor infiltration of T_RM subpopulations in two cohorts of patients with NSCLC. The impact on the clinical outcome of the T_RM tumor infiltration was also investigated.

Results: We identified two main T_RM subpopulations in tumor-infiltrating lymphocytes derived from patients with NSCLC: one co-expressing CD103 and CD49a (double positive (DP)), and the other expressing only CD49a (simple positive (SP)); both exhibiting additional T_RM surface markers like CD69. Despite higher expression of inhibitory receptors, DP T_RM exhibited greater functionality compared with SP T_RM. Analysis of T-cell receptor (TCR) repertoire and expression of the stemness marker TCF1 revealed shared TCRs between populations, with the SP subset appearing more progenitor-like phenotype. In the training cohort, PD-L1 (Programmed Death-Ligand 1) and TCF1⁺CD8⁺T cells predict response to anti-PD-1. In patient with NSCLC validation cohorts, only DP T_RM predicted PD-1 blockade response. Multivariate analysis, including various biomarkers associated with responses to anti-PD-(L)1, such as total CD8, TCF1⁺CD8⁺T cells, and PD-L1, showed that only intratumoral infiltration by DP T_RM remained significant.

Conclusions: This study highlights the non-equivalence of T_RM subpopulations. The population of T_RM co-expressing CD103 and CD49a appears to be the most functional and has the most significant capacity for predicting response to immunotherapy in multivariate analysis in patients with NSCLC.

Keywords: Lung Cancer; T cell; Tumor microenvironment - TME.