Integrative analysis reveals a clinicogenomic landscape associated with liver metastasis and poor prognosis in hepatoid adenocarcinoma of the stomach

Int J Biol Sci. 2022 Aug 29;18(14):5554-5574. doi: 10.7150/ijbs.71449. eCollection 2022.

Abstract

Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer (GC) that histologically resembles hepatocellular carcinoma (HCC). Despite its low incidence, HAS had a poor 5-year survival rate. Currently, the linkages between clinicopathological and genomic features of HAS and its therapeutic targets remain largely unknown. Herein, we enrolled 90 HAS patients and 270 stage-matched non-HAS patients from our institution for comparing clinicopathological features. We found that HAS had worse overall survival and were more prone to develop liver metastasis than non-HAS in our cohort, which was validated via meta-analysis. By comparing whole-exome sequencing data of HAS (n=30), non-HAS (n=63), and HCC (n=355, The Cancer Genome Atlas), we identified a genomic landscape associated with unfavorable clinical features in HAS, which contained frequent somatic mutations and widespread copy number variations. Notably, signaling pathways regulating pluripotency of stem cells affected by frequent genomic alterations might contribute to liver metastasis and poor prognosis in HAS patients. Furthermore, HAS developed abundant multiclonal architecture associated with liver metastasis. Encouragingly, target analysis suggested that HAS patients might potentially benefit from anti-ERBB2 or anti-PD-1 therapy. Taken together, this study systematically demonstrated a high risk of liver metastasis and poor prognosis in HAS, provided a clinicogenomic landscape underlying these unfavorable clinical features, and identified potential therapeutic targets, laying the foundations for developing precise diagnosis and therapy in this rare but lethal disease.

Keywords: clinicogenomic landscape; hepatoid adenocarcinoma of the stomach; liver metastasis; prognosis; whole-exome sequencing.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma* / genetics
  • Adenocarcinoma* / metabolism
  • Carcinoma, Hepatocellular* / pathology
  • DNA Copy Number Variations / genetics
  • Humans
  • Liver Neoplasms* / pathology
  • Stomach Neoplasms* / metabolism
  • alpha-Fetoproteins / analysis
  • alpha-Fetoproteins / genetics
  • alpha-Fetoproteins / metabolism

Substances

  • alpha-Fetoproteins