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Predictive and Prognostic Implications of Circulating CX3CR1⁺ CD8⁺ T Cells in Non-Small Cell Lung Cancer Patients Treated with Chemo-Immunotherapy.

ABSTRACT: Lack of reliable predictive biomarkers is a major limitation of combination therapy with chemotherapy and anti-programmed cell death protein 1/programmed death-ligand 1 (anti-PD-1/PD-L1) therapy (chemo-immunotherapy). We previously observed that the increase of peripheral blood CD8⁺ T cells expressing CX3CR1, a marker of differentiation, correlates with response to anti-PD-1 therapy; however, the predictive and prognostic value of T-cell CX3CR1 expression during chemo-immunotherapy is unknown. Here, we evaluated the utility of circulating CX3CR1⁺CD8⁺ T cells as a predictive correlate of response to chemo-immunotherapy in patients with non-small cell lung cancer (NSCLC). At least 10% increase of the CX3CR1⁺ subset in circulating CD8⁺ T cells from baseline (CX3CR1 score) was associated with response to chemo-immunotherapy as early as 4 weeks with 85.7% overall accuracy of predicting response at 6 weeks. Furthermore, at least 10% increase of the CX3CR1 score correlated with substantially better progression-free (P = 0.0051) and overall survival (P = 0.0138) on Kaplan-Meier analysis. Combined single-cell RNA/T-cell receptor (TCR) sequencing of circulating T cells from longitudinally obtained blood samples and TCR sequencing of tumor tissue from the same patient who received a long-term benefit from the treatment demonstrated remarkable changes in genomic and transcriptomic signatures of T cells as well as evolution of TCR clonotypes in peripheral blood containing highly frequent tumor-infiltrating lymphocyte repertoires overexpressing CX3CR1 early after initiation of the treatment despite stable findings of the imaging study. Collectively, these findings highlight the potential utility of T-cell CX3CR1 expression as a dynamic blood-based biomarker during the early course of chemo-immunotherapy and a marker to identify frequent circulating tumor-infiltrating lymphocyte repertoires.

Significance

Current approaches to combined chemotherapy and anti-PD-1/PD-L1 therapy (chemo-immunotherapy) for patients with NSCLC are limited by the lack of reliable predictive biomarkers. This study shows the utility of T-cell differentiation marker, CX3CR1, as an early on-treatment predictor of response and changes in genomic/transcriptomic signatures of circulating tumor-infiltrating lymphocyte repertoires in patients with NSCLC undergoing chemo-immunotherapy.

SUBMITTER: Abdelfatah E

PROVIDER: S-EPMC10060186 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Predictive and Prognostic Implications of Circulating CX3CR1+ CD8+ T Cells in Non-Small Cell Lung Cancer Patients Treated with Chemo-Immunotherapy.

Abdelfatah Eihab E Long Mark D MD Kajihara Ryutaro R Oba Takaaki T Yamauchi Takayoshi T Chen Hongbin H Sarkar Joy J Attwood Kristopher K Matsuzaki Junko J Segal Brahm H BH Dy Grace K GK Ito Fumito F

Cancer research communications 20230330 3

Lack of reliable predictive biomarkers is a major limitation of combination therapy with chemotherapy and anti-programmed cell death protein 1/programmed death-ligand 1 (anti-PD-1/PD-L1) therapy (chemo-immunotherapy). We previously observed that the increase of peripheral blood CD8+ T cells expressing CX3CR1, a marker of differentiation, correlates with response to anti-PD-1 therapy; however, the predictive and prognostic value of T-cell CX3CR1 expression during chemo-immunotherapy is ...[more]

PMID: 37009132

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Project description:BackgroundCancer-associated fibroblasts (CAFs) within the tumor microenvironment (TME) are critical for immune suppression by restricting immune cell infiltration in the tumor stromal zones from penetrating tumor islands and changing their function status, particularly for CD8+ T cells. However, assessing and quantifying the impact of CAFs on immune cells and investigating how this impact is related to clinical outcomes, especially the efficacy of immunotherapy, remain unclear.Materials and methodsThe TME was characterized using immunohistochemical (IHC) analysis using a large-scale sample size of gene expression profiles. The CD8+ T cell/CAF ratio (CFR) association with survival was investigated in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) lung cancer cohorts. The correlation between CFR and immunotherapeutic efficacy was computed in five independent cohorts. The correlation between CFR and objective response rates (ORRs) following pembrolizumab monotherapy was investigated in 20 solid tumor types. To facilitate clinical translation, the IHC-detected CD8/α-SMA ratio was applied as an immunotherapeutic predictive biomarker in a real-world lung cancer cohort.ResultsCompared with normal tissue, CAFs were enriched in cancer tissue, and the amount of CAFs was overwhelmingly higher than that in other immune cells. CAFs are positively correlated with the extent of immune infiltration. A higher CFR was strongly associated with improved survival in lung cancer, melanoma, and urothelial cancer immunotherapy cohorts. Within most cohorts, there was no clear evidence for an association between CFR and programmed death-ligand 1 (PD-L1) or tumor mutational burden (TMB). Compared with TMB and PD-L1, a higher correlation coefficient was observed between CFR and the ORR following pembrolizumab monotherapy in 20 solid tumor types (Spearman's r = 0.69 vs. 0.44 and 0.21). In a real-world cohort, patients with a high CFR detected by IHC benefited considerably from immunotherapy as compared with those with a low CFR (hazard ratio, 0.37; 95% confidence interval, 0.19-0.75; p < 0.001).ConclusionsCFR is a newly found and simple parameter that can be used for identifying patients unlikely to benefit from immunotherapy. Future studies are needed to confirm this finding.

Project description:BackgroundA high density of resident memory T cells (TRM) in tumors correlates with improved clinical outcomes in immunotherapy-treated patients. In most clinical studies, TRM are defined by the CD103 marker. However, it is clearly established that not all TRM express CD103, but can be defined by other markers (CD49a, CD69, etc). The frequency of these subpopulations of TRM 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 TRM are associated with cancer vaccine efficacy.MethodsMultiparametric cytometry analyses were used to demonstrate the presence of TRM 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 TRM was conducted to search for their relationships. Multiplex immunofluorescence techniques were used to quantify intratumor infiltration of TRM subpopulations in two cohorts of patients with NSCLC. The impact on the clinical outcome of the TRM tumor infiltration was also investigated.ResultsWe identified two main TRM 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 TRM surface markers like CD69. Despite higher expression of inhibitory receptors, DP TRM exhibited greater functionality compared with SP TRM. 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 TRM 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 TRM remained significant.ConclusionsThis study highlights the non-equivalence of TRM subpopulations. The population of TRM 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.

Dataset Information

Predictive and Prognostic Implications of Circulating CX3CR1⁺ CD8⁺ T Cells in Non-Small Cell Lung Cancer Patients Treated with Chemo-Immunotherapy.

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Predictive and Prognostic Implications of Circulating CX3CR1<sup>+</sup> CD8<sup>+</sup> T Cells in Non-Small Cell Lung Cancer Patients Treated with Chemo-Immunotherapy.

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