Predictive value of tumor mutational burden for PD-1/PD-L1 inhibitors in NSCLC: A meta-analysis

Medicine (Baltimore). 2023 Oct 6;102(40):e34990. doi: 10.1097/MD.0000000000034990.

Abstract

Background: To investigate the association between tumor mutational burden (TMB) and the therapeutic effect of Programmed Death 1/Programmed Death Ligand 1 inhibitors in non-small cell lung cancer.

Methods: Four electronic databases, PubMed, Embase, Web of Science, and Cochrane Library, were searched on May 10, 2023, and no time limitation was applied. Analyses were performed using STATA17.0. We assessed the methodological quality of each randomized controlled trial using the Newcastle-Ottawa scale.

Results: After exhaustive database search and rigorous screening, 10 studies were included in the meta-analysis. Our findings indicate that high TMB significantly improves progression-free survival but reduces overall response rate. The overall survival was not significantly different between the high and low TMB groups. No significant publication bias was observed.

Conclusion: High TMB serves as a potential predictive biomarker for improved progression-free survival and reduced overall response rate in patients with non-small cell lung cancer treated with programmed death 1/programmed death ligand 1 inhibitors. However, its predictive value in overall survival requires further investigation.

Publication types

  • Meta-Analysis

MeSH terms

  • B7-H1 Antigen / therapeutic use
  • Biomarkers, Tumor
  • Carcinoma, Non-Small-Cell Lung* / drug therapy
  • Carcinoma, Non-Small-Cell Lung* / genetics
  • Humans
  • Immune Checkpoint Inhibitors / therapeutic use
  • Lung Neoplasms* / drug therapy
  • Lung Neoplasms* / genetics
  • Mutation
  • Programmed Cell Death 1 Receptor / therapeutic use

Substances

  • Immune Checkpoint Inhibitors
  • Programmed Cell Death 1 Receptor
  • Biomarkers, Tumor
  • B7-H1 Antigen