Checkpoint inhibitors in advanced nonsmall-cell lung cancer; a Bayesian network meta-analysis

J Cancer Res Ther. 2020 Jul-Sep;16(4):828-837. doi: 10.4103/jcrt.JCRT_450_19.

Abstract

Background: Checkpoint inhibitors (CPIs) have improved survival compared to chemotherapy alone in advanced nonsmall-cell lung cancer (NSCLC). This article aims to compare indirect evidence and rank the effect of different CPIs in this setting.

Materials and methods: In this network meta-analysis, we searched for trials comparing CPIs in advanced NSCLC. Figures for survival endpoints were extracted. In addition, a network meta-regression analysis was carried out.

Results: A total of 9220 patients from 16 trials were included in the analysis. In the first-line setting, for the overall survival endpoint, the chemotherapy + Pembrolizumab combination had the highest effectivity rank probability as compared to chemotherapy (hazard ratio = 0.788, 95% credential interval = 0.728-0.855). For the second-line setting, and also for the efficacy in terms of progression-free survival, various CPIs and their combinations were ranked.

Conclusion: Some degree of differences in terms of efficacy exists between different types, dosages, settings, and combinations of CPI. We quantify these differences to guide clinical practice.

Keywords: Atezolizumab; avelumab; checkpoint inhibitor; nivolumab; nonsmall-cell lung cancer; pembrolizumab.

Publication types

  • Meta-Analysis

MeSH terms

  • Antineoplastic Agents, Immunological / therapeutic use*
  • B7-H1 Antigen / antagonists & inhibitors*
  • Bayes Theorem
  • Biomarkers, Tumor / metabolism
  • Carcinoma, Non-Small-Cell Lung / drug therapy*
  • Carcinoma, Non-Small-Cell Lung / immunology
  • Carcinoma, Non-Small-Cell Lung / pathology
  • Clinical Trials as Topic
  • Humans
  • Lung Neoplasms / drug therapy*
  • Lung Neoplasms / immunology
  • Lung Neoplasms / pathology
  • Network Meta-Analysis
  • Programmed Cell Death 1 Receptor / antagonists & inhibitors*
  • Randomized Controlled Trials as Topic

Substances

  • Antineoplastic Agents, Immunological
  • B7-H1 Antigen
  • Biomarkers, Tumor
  • CD274 protein, human
  • PDCD1 protein, human
  • Programmed Cell Death 1 Receptor