Comprehensive molecular characterization of clinical responses to PD-1 inhibition in metastatic gastric cancer

Seung Tae Kim1, Razvan Cristescu2, Adam J Bass3

  • 1Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Nature Medicine
|July 18, 2018
PubMed

Insights

Pembrolizumab shows efficacy in metastatic gastric cancer (mGC). Molecular markers like microsatellite instability-high, Epstein-Barr virus positivity, and PD-L1 expression predict response, with ctDNA changes indicating outcomes.

Area of Science:

  • Oncology
  • Immunotherapy
  • Molecular Diagnostics

Background:

  • Programmed cell death 1 (PD-1) inhibitors demonstrate efficacy in a subset of metastatic gastric cancer (mGC) patients.
  • Identifying molecular determinants of response is crucial for optimizing PD-1 targeted therapy.

Purpose of the Study:

  • To identify molecular features associated with response to pembrolizumab in mGC.
  • To evaluate circulating tumor DNA (ctDNA) as a predictive biomarker for treatment response and survival.

Main Methods:

  • Molecular characterization of tumor tissues and ctDNA from 61 mGC patients treated with pembrolizumab.
  • Analysis of microsatellite instability (MSI), Epstein-Barr virus (EBV) status, and programmed death-ligand 1 (PD-L1) expression.
  • Correlation of ctDNA dynamics with treatment response and progression-free survival.

Main Results:

  • High response rates observed in MSI-high (85.7%) and EBV-positive (100%) mGC.
  • Significantly higher overall response rate (ORR) in PD-L1 positive (50.0%) versus PD-L1 negative (0.0%) tumors (P<0.001).
  • Decreased ctDNA levels post-treatment predicted improved outcomes and progression-free survival.

Conclusions:

  • MSI-high, EBV-positive, and PD-L1 positive tumors are associated with favorable responses to pembrolizumab in mGC.
  • ctDNA changes serve as a promising biomarker for predicting treatment response and survival in mGC patients.
  • These findings offer insights for patient selection to maximize benefit from PD-1 inhibition in mGC.

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