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Impact of EGFR mutation on the clinical efficacy of PD-1 inhibitors in patients with pulmonary adenocarcinoma

  • Jang Ho Cho
  • , Hyun Ae Jung
  • , Se Hoon Lee
  • , Jin Seok Ahn
  • , Myung Ju Ahn
  • , Keunchil Park
  • , Jong Mu Sun
  • Samsung Medical Center, Sungkyunkwan university

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Purpose We evaluated the predictive role of EGFR mutation on the efficacy of PD-1/PD-L1 inhibitor therapy in patients with advanced pulmonary adenocarcinoma while considering clinical factors such as PD-L1 expression, gender, and smoking status. Methods Patients were required to have available data for EGFR mutation, PD-L1 expression, and efficacy of PD-1/PD-L1 inhibitors. Results Among 178 patients with EGFR-mutant (n = 38) or wild-type (WT) (n = 140) tumors, the EGFR mutation group had a lower objective response rate (ORR) (15.8% vs. 32.9%, p = 0.04) than the EGFR WT group, similar to the pattern observed for other factors: weak/negative PD-L1 expression vs. strong PD-L1 expression (17.3% vs. 39.2%, p = 0.001); never smokers vs. smokers (19.4% vs. 35.1%, p = 0.03); and females vs. males (21.0% vs. 33.6%, p = 0.08). EGFR mutation and weak/negative PD-L1 expression were associated with a significantly shorter median PFS than EGFR WT (1.9 vs. 3.0 months, p = 0.04) and strong PD-L1 expression (1.6 vs. 3.9 months, p = 0.007), respectively. In multivariate analysis, EGFR mutation predicted worse ORR [hazard ratio (HR) 3.15; 95% confidence interval (CI) 1.15-8.63] and PFS (HR 1.75, 95% CI 1.11-2.75), as did weak/negative PD-L1 expression (ORR, HR 3.46, 95% CI 1.62-7.37; and PFS, HR 1.72, 95% CI 1.17-2.53). Conclusions Together with PD-L1 expression, EGFR mutation status is an important factor to predict the efficacy of PD-1/ PD-L1 inhibitors in patients with pulmonary adenocarcinoma.

Original languageEnglish
Pages (from-to)1341-1349
Number of pages9
JournalJournal of Cancer Research and Clinical Oncology
Volume145
Issue number5
DOIs
StatePublished - May 2019

Bibliographical note

Publisher Copyright:
© Springer-Verlag GmbH Germany, part of Springer Nature 2019.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Epidermal growth factor receptor
  • Predictive factor
  • Programmed cell death-ligand 1
  • Pulmonary adenocarcinoma

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