ArticleFrontiers in oncology2022
Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Monotherapy With Immune Checkpoint Blockade Improves Survival Outcomes in KRAS-Mutant but Not KRAS Wild-Type Metastatic Lung Adenocarcinoma: Validation From an Extended Swedish Cohort.JTO clinical and research reports · 2025Article
- High baseline PD-1+ CD8 T Cells and TIGIT+ CD8 T Cells in circulation associated with response to PD-1 blockade in patients with non-small cell lung cancer.Cancer immunology, immunotherapy : CII · 2025Article
- Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer.Journal of experimental & clinical cancer research : CR · 2025Article
- Cellular plasticity and non-small cell lung cancer: role of T and NK cell immune evasion and acquisition of resistance to immunotherapies.Cancer metastasis reviews · 2025Review
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11 authors.
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Abstract
Objectives: Immunotherapy by blocking programmed death protein-1 (PD-1) or programmed death protein-ligand1 (PD-L1) with antibodies (PD-1 blockade) has revolutionized treatment options for patients with non-small cell lung cancer (NSCLC). However, the benefit of immunotherapy is limited to a subset of patients. This study aimed to investigate the value of combining immune and genetic variables analyzed within 3-4 weeks after the start of PD-1 blockade therapy to predict long-term clinical response. Materials and methodology: Blood collected from patients with NSCLC were analyzed for changes in the frequency and concentration of immune cells using a clinical flow cytometry assay. Next-generation sequencing (NGS) was performed on DNA extracted from archival tumor biopsies of the same patients. Patients were categorized as clinical responders or non-responders based on the 9 months' assessment after the start of therapy. Results: We report a significant increase in the post-treatment frequency of activated effector memory CD4 Conclusion: Combined analyses of select immune cell subsets and genetic mutations could predict early clinical responses to immunotherapy in patients with NSCLC and after validation, can guide clinical precision medicine efforts.
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