CD57-positive CD8 + T cells define the response to anti-programmed cell death protein-1 immunotherapy in patients
Wenjia Sun1, Fengqi Qiu2, Jing Zheng1
1Department of Respiratory Disease, Thoracic Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Abstract:
Immune checkpoint inhibitors have transformed the treatment landscape of non-small cell lung cancer (NSCLC). However, accurately identifying patients who will benefit from immunotherapy remains a challenge. This study aimed to discover potential biomarkers for predicting immunotherapy response in NSCLC patients. Single-cell mass cytometry (CyTOF) was utilized to analyze immune cell subsets in peripheral blood mononuclear cells (PBMCs) obtained from NSCLC patients before and 12 weeks after single-agent immunotherapy. The CyTOF findings were subsequently validated using flow cytometry and multiplex immunohistochemistry/immunofluorescence in PBMCs and tumor tissues, respectively. RNA sequencing (RNA-seq) was performed to elucidate the underlying mechanisms. In the CyTOF cohort (n = 20), a high frequency of CD57+CD8+ T cells in PBMCs was associated with durable clinical benefit from immunotherapy in NSCLC patients (p = 0.034). This association was further confirmed in an independent cohort using flow cytometry (n = 27; p < 0.001), with a determined cutoff value of 12.85%. The cutoff value was subsequently validated in another independent cohort (AUC = 0.733). We also confirmed the CyTOF findings in pre-treatment formalin-fixed and paraffin-embedded tissues (n = 90; p < 0.001). RNA-seq analysis revealed 475 differentially expressed genes (DEGs) between CD57+CD8+ T cells and CD57-CD8+ T cells, with functional analysis identifying DEGs significantly enriched in immune-related signaling pathways. This study highlights CD57+CD8+ T cells as a promising biomarker for predicting immunotherapy success in NSCLC patients.
Insights
High CD57+CD8+ T cell frequency in non-small cell lung cancer (NSCLC) patients predicts immunotherapy success. This finding offers a potential biomarker for personalized treatment strategies in NSCLC.
Area of Science:
- Immunology
- Oncology
- Biomarker Discovery
Background:
- Immune checkpoint inhibitors have revolutionized non-small cell lung cancer (NSCLC) treatment.
- Predicting patient response to immunotherapy remains a significant clinical challenge.
- Identifying reliable biomarkers is crucial for optimizing NSCLC immunotherapy.
Purpose of the Study:
- To discover predictive biomarkers for immunotherapy response in NSCLC patients.
- To investigate the role of immune cell subsets in predicting treatment outcomes.
Main Methods:
- Single-cell mass cytometry (CyTOF) analyzed immune cells in NSCLC patient PBMCs.
- Findings were validated using flow cytometry and multiplex immunohistochemistry/immunofluorescence.
- RNA sequencing (RNA-seq) explored underlying molecular mechanisms.
Main Results:
- A high frequency of CD57+CD8+ T cells in PBMCs correlated with durable clinical benefit from immunotherapy (p=0.034).
- This association was confirmed in independent cohorts via flow cytometry (p<0.001) and tissue analysis (p<0.001).
- RNA-seq identified differentially expressed genes in CD57+CD8+ T cells enriched in immune-related pathways.
Conclusions:
- CD57+CD8+ T cells represent a promising biomarker for predicting immunotherapy response in NSCLC.
- This biomarker can aid in selecting patients likely to benefit from immunotherapy.
- Further research into CD57+CD8+ T cell function may reveal new therapeutic targets.


