Gastric Xanthoma Biomarker Screening and Lipid Metabolism Mechanism Analysis as Potential Indicators for Gastric Cancer

Abstract

The early detection of gastric cancer (GC) is critical for reducing its high mortality rates^1,2. Gastric xanthoma (GX), a lipid-associated lesion in the gastric mucosa, has been identified as a precursor lesion for various stomach malignancies^3,4 . In this study, we comprehensively explored the profiling of gut microbiota, lipid metabolism, and amino acid metabolism to identify novel biomarkers for the early detection of GX, with potential implications for GC prevention and treatment. Employing 16S rRNA sequencing^5,6, transcriptomics ⁷, and gene ontology (GO) analyses⁸ , we uncovered significant correlations between gut microbiota composition, lipid transport dysregulation, and abnormal amino acid metabolism in GX. These findings highlight the role of lipid metabolism dysfunction^9,10 and gut microbiota alterations^11,12 in the pathogenesis of GX and suggest potential strategies for early GC detection and targeted therapy.

Keywords: biomarkers, gastric xanthoma, lipid metabolism, 16S rRNA