SMARCA4 Mutations in Gastroesophageal Adenocarcinoma: An Observational Study via a Next-Generation Sequencing Panel

Kohei Yamashita1, Matheus Sewastjanow-Silva1, Katsuhiro Yoshimura1

  • 1Departments of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Cancers
|April 13, 2024
PubMed
Abstract

Insights

SMARCA4 mutations are found in 7.4% of gastroesophageal adenocarcinoma patients and associate with non-signet ring cell subtype and PD-L1 positivity, but not survival. Co-occurrences with other gene mutations were also noted.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • The clinical significance of SMARCA4 mutations (SMARCA4ms) in gastroesophageal adenocarcinoma (GEA) is not well understood.
  • This study investigates the impact of SMARCA4ms on GEA patient outcomes.

Purpose of the Study:

  • To analyze the association between SMARCA4 mutations and clinical outcomes in GEA patients.
  • To identify co-occurring gene mutations with SMARCA4ms using next-generation sequencing (NGS).

Main Methods:

  • Next-generation sequencing (NGS) panel profiling was performed on 256 GEA patients with metastatic or recurrent disease.
  • Comparative analyses assessed clinical outcomes in relation to SMARCA4 mutation status.
  • Frequencies and types of SMARCA4 mutations and their co-occurrence with other genetic alterations were examined.

Main Results:

  • SMARCA4 mutations were detected in 7.4% of GEA patients.
  • SMARCA4ms were significantly linked to the non-signet ring cell subtype and PD-L1 positive expression.
  • No significant difference in survival was observed between patients with and without SMARCA4 mutations. Significant associations were found between SMARCA4ms and alterations in FANCA, IGF1R, KRAS, FANCL, and PTEN. Frequent co-occurrences were observed with TP53, KRAS, ARID1A, and ERBB2 mutations, primarily SNV missense types.

Conclusions:

  • This study provides a comprehensive analysis of SMARCA4 mutations in GEA.
  • Findings highlight the association of SMARCA4 mutations with specific GEA subtypes and PD-L1 expression, and reveal patterns of co-occurring mutations.