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.

NPJ Precision Oncology
|January 31, 2024
PubMed

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.

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