ArticleTranslational cancer research2026
Identification of potential hub biomarkers for gastric high-grade intraepithelial neoplasia early diagnosis: evidence from gene expression profiles and pathological characters.
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Gastric cancer (GC) is highly prevalent worldwide, and early detection methods are needed to improve patient survival rates. This study aimed to identify crucial biomarkers associated with the progression of gastric high-grade intraepithelial neoplasia (GHGIN). Methods: The GHGIN patient dataset underwent weighted correlation network analysis (WGCNA) analysis and differential gene expression identification. Least absolute shrinkage and selection operator (LASSO) analysis was employed to identify hub genes. Enrichment analysis revealed related signaling pathways. These crucial genes were validated in a separate dataset and at the level of bodily tissues. Immune infiltration was evaluated via model context protocol-counter and single sample gene set enrichment analysis, and correlation analysis was performed. Variable immune cell importance was assessed via random forest algorithms. The GHGIN tissues were subjected to single-cell analysis, enabling visualization of the distribution and expression levels of key genes within the cells. Results: Through WGCNA and differential expression analysis, we identified 200 overlapping genes. LASSO and logistic regression analyses revealed six hub genes. The enrichment analysis revealed their significant enrichment in pathways related to the immune system simultaneously. In the external validation set, Conclusions: FOSB and LDHC are pivotal biomarkers for GHGIN transformation, highlighting their potential as targets for GC diagnosis and treatment.
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