ArticleTherapeutic advances in medical oncology2024
Immune signatures of patients with advanced non-small-cell lung cancer for efficacy prediction after immunotherapy.
Article in Therapeutic advances in medical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The role of immunotherapy and chemotherapy combinations in TKI-resistant EGFR-mutant non-small cell lung cancer: insights from real-world evidence.American journal of cancer research · 2025Article
- Pan-cancer convergence of tumour-immune microenvironment motifs revealed by CyTOF and imaging mass cytometry.Frontiers in immunology · 2025Review
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Authors and funding
4 authors.
Funding
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Abstract
Background: Programmed cell death protein 1 ligand 1 (PD-L1) expression alone may not be the optimal predictor of immunotherapy (IO) efficacy in advanced non-small cell lung cancer (NSCLC). Evaluation of circulating immune signatures using mass cytometry is a promising technique for predicting IO response and prognosis. The utility of circulating immune signatures for efficacy prediction after IO in advanced NSCLC remains to be elucidated. Objectives: To assess the feasibility of circulating immune cells and cytokines in predicting tumor response to IO in advanced NSCLC. Design: A prospective observational study. Methods: To investigate dynamic changes in immune signatures, blood specimens were prospectively collected from patients with NSCLC at baseline and following chemotherapy (C/T) and/or IO. Mass cytometry and enzyme-linked immunosorbent assay were used to characterize immune signatures and cytokine patterns to identify correlations between immune profiles and treatment efficacy. Results: The study enrolled 45 patients. The proportion of circulating natural killer (NK) cells and CD8 Conclusion: Responses to IO in NSCLC were correlated with declines in specific exhausted T cells, suggesting that IO may exert therapeutical efficacy by decreasing circulating exhausted T cells, which were associated with poorer survival, while also increasing TNF-α. These results highlight the prognostic value of monitoring changes in circulating exhausted T cells to predict IO response and survival outcomes in advanced lung cancer.
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