PD-L1 expression and immune profiling cannot predict osimertinib efficacy in lung cancer with EGFR T790 M mutation: A

Ching-Yao Yang1, Wei-Yu Liao1, Chao-Chi Ho1

  • 1Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.

Abstract

Insights

Programmed death-ligand 1 (PD-L1) expression does not predict osimertinib efficacy in pre-treated non-small-cell lung cancer (NSCLC) patients with EGFR T790M mutations. This finding was consistent across clinical, in vitro, and xenograft studies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Immunology

Background:

  • Programmed death-ligand 1 (PD-L1) is linked to poor outcomes with first- and second-generation EGFR tyrosine kinase inhibitors (TKIs) in untreated EGFR-mutant NSCLC.
  • The predictive value of PD-L1 for osimertinib efficacy in pre-treated patients with acquired EGFR T790M mutations remains undetermined.

Purpose of the Study:

  • To investigate the association between PD-L1 expression and osimertinib efficacy in pre-treated EGFR T790M-mutant NSCLC patients.
  • To explore the role of PD-L1 in osimertinib resistance using in vitro and in vivo models.

Main Methods:

  • PD-L1 expression and tumor microenvironments were analyzed in 134 pre-treated EGFR T790M-mutant NSCLC patients receiving osimertinib.
  • In vitro and xenograft models were used to assess the impact of PD-L1 overexpression on osimertinib susceptibility.

Main Results:

  • PD-L1 expression (TC ≥ 1%) was observed in 15.7% of patients and did not correlate with biopsy site or EGFR mutation subtype.
  • No significant difference in progression-free survival (PFS) was found between PD-L1-positive and PD-L1-negative patients.
  • In vitro and xenograft studies indicated that PD-L1 overexpression did not confer osimertinib resistance.

Conclusions:

  • PD-L1 expression is not a predictive biomarker for osimertinib efficacy in pre-treated EGFR T790M-mutant lung adenocarcinoma.
  • Findings were supported by clinical data, in vitro experiments, and xenograft models.

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