Proteogenomic Characterization of Human Early-Onset Gastric Cancer

Area of Science:

• Oncology
• Proteomics
• Genomics

Background:

• Diffuse gastric cancer (GC) in young populations presents unique biological challenges.
• Genomic analyses alone may not fully capture the complexity of GC development and progression.

Purpose of the Study:

• To perform a comprehensive proteogenomic analysis of diffuse gastric cancers in young individuals.
• To identify novel signaling pathways, potential oncogenes, and tumor suppressors.
• To classify diffuse GCs into distinct subtypes using integrated multi-omics data.

Main Methods:

• Proteogenomic analysis integrating phosphoproteome, mRNA, protein abundance, and N-glycosylation data.
• Correlation analysis between somatic mutations and phosphorylation patterns.
• Correlation analysis between mRNA and protein abundances for survival-associated genes.
• Integrated clustering of multi-omics data to identify GC subtypes.

Main Results:

• Phosphoproteome data revealed signaling pathways linked to somatic mutations in GC.
• mRNA-protein correlations identified potential oncogenes and tumor suppressors impacting patient survival.
• Integrated clustering identified four distinct subtypes of diffuse GCs, distinguishable by proteomic data.
• Subtypes were associated with proliferation, immune response, metabolism, and invasion, with phosphorylation and N-glycosylation data highlighting immune and invasion pathways.

Conclusions:

• Proteogenomic analysis provides critical insights into diffuse GC biology beyond genomic data.
• The identified subtypes offer potential for improved patient stratification and targeted therapies.
• This multi-omics approach advances the understanding of GC heterogeneity and its clinical implications.