PIK3CA somatic mutations as potential biomarker for immunotherapy in elder or TP53 mutated gastric cancer patients

Jun Yao1, Qing You1, Xin Zhang1

  • 1Department of Gastrointestinal Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China.

Clinical Genetics
|November 8, 2022
PubMed

Insights

Immune checkpoint inhibitors (ICIs) benefit advanced gastric cancer (GC) patients. This study identifies specific gene mutations (PIK3CA, TP53) and age as predictors of better ICI response in GC.

Area of Science:

  • Oncology
  • Genetics
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors (ICIs) enhance survival in advanced gastric cancer (GC).
  • Molecular profiles of GC patients responding to ICIs remain largely undefined.
  • Understanding genetic drivers of ICI response is crucial for personalized treatment strategies.

Purpose of the Study:

  • To elucidate the molecular characteristics of advanced GC patients who respond to ICIs.
  • To identify specific gene mutations and clinicopathological factors associated with high tumor mutation burden (TMB) and ICI efficacy.
  • To propose a novel stratification approach for GC patients based on genetic profiles and age.

Main Methods:

  • Next-generation sequencing of 639 tumor-associated genes in 288 advanced GC patients.
  • Analysis of tumor tissue and paired blood for somatic mutations.
  • Validation of findings using the cBioPortal database with 873 GC cases.

Main Results:

  • Mutations in ARID1A, HER2/3/4, KMT2C/2D, LRP1B, PIK3CA, SPTA1, and TP53 correlated with high TMB and HER2 amplification.
  • PIK3CA and TP53 mutations showed significant associations with age and ICI response.
  • GC patients aged ≥60 years or with TP53/PIK3CA mutations exhibited higher TMB and better ICI response.

Conclusions:

  • Specific genetic mutations (e.g., PIK3CA, TP53) and patient age are key determinants of ICI response in advanced GC.
  • A novel stratification approach integrating age and TP53/PIK3CA mutation status can predict ICI efficacy.
  • Further research into genetic markers can optimize immunotherapy selection for GC patients.

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