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Association of serine/threonine kinase 11 mutations and response to programmed cell death 1 inhibitors in metastatic gastric cancer

  • Sungkyunkwan University

Research output: Contribution to journalArticlepeer-review

Abstract

Programmed cell death 1 (PD-1) inhibitors have shown therapeutic efficacy in metastatic gastric cancer (mGC). However, no predictive biomarkers have been established in mGC. Inactivating mutations in serine/threonine kinase 11 (STK11) are associated with poor response to PD-1 inhibitors in KRAS-mutant lung adenocarcinoma. Therefore, we hypothesized that STK11 inactivating mutations would be associated with inferior clinical response to PD-1 inhibitors in mGC. We analyzed 59 mGC patients who had been treated with PD-1 inhibitors and whose tumors had been analyzed by targeted high-throughput sequencing. STK11 mutations were identified in 30 (50.8%) patients, and were all missense mutations. Three patients (5.1%) had STK11 gene amplification and mutation, simultaneously. Patients with STK11 mutations had prolonged overall survival (median: 19.0 vs 11.6 months, p = 0.15), and progression-free survival (4.2 vs 1.9 months, p = 0.06) when treated with PD-1 inhibitors, but these differences were not statistically significant. Patients with STK11 inactivating mutations without STK11 gene amplification had significantly prolonged progression-free survival compared to patients with wild type STK11 or STK11 gene amplification (4.8 vs 1.0 months, p = 0.04). However, in multivariate Cox regression analysis with high microsatellite instability (MSI-H), the number of tumor mutations, PD Ligand-1 (PD-L1)+, Epstein-Barr virus positivity (EBV)+, and type of PD-1 inhibitor used (pembrolizumab vs nivolumab), only MSI-H and PD-L1+ were significantly associated with longer progression-free survival. In mGC, the presence of STK11 mutation was not predictive of the response to PD-1 inhibitors. Instead, patients with MSI-H or PD-L1+ tumors displayed superior clinical responses to PD-1 inhibitors.

Original languageEnglish
Article number152947
JournalPathology Research and Practice
Volume216
Issue number6
DOIs
StatePublished - Jun 2020

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

  • Gastric cancer
  • Liver kinase B1
  • Next generation sequencing
  • Programmed cell death 1
  • Serine/threonine kinase 11
  • Targeted sequencing

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