Gene Expression-Based Inference of Metabolic Signatures Reveals Distinct Molecular Profiles in Right- and Left-Sided Colon Cancer

基于基因表达的代谢特征推断揭示了右侧和左侧结肠癌不同的分子特征

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Abstract

Background/Objective: Colon cancer, the third most diagnosed cancer worldwide, is anatomically classified into right- and left-sided colon cancers based on embryonic origin and vascular supply. The aim of this study was to investigate molecular differences between patients with right- and left-sided colon cancer. Methods: In this pilot study, Blood samples from right-sided (n = 6) and left-sided (n = 6) colon cancer patients, as well as healthy controls (n = 6), were analyzed for 92 cancer-related genes via RT-qPCR. KEGG pathway analysis was performed with ShinyGO 0.82, and gene-metabolite interactions were assessed using EnrichR and MetaboAnalyst 6.0. Additionally, patients' sociodemographic and clinical data were analyzed. Results: KEGG analysis revealed that p53, HIF-1, TNF, PI3K/Akt, MAPK, and Rap1 signaling pathways were enriched in right-sided colon cancer, whereas VEGF, HIF-1, MAPK, PI3K/Akt, Rap1, and Ras signaling pathways were implicated in left-sided colon cancer. In the gene-metabolite analysis, key metabolites identified in right-sided colon cancer included palmitic acid, adenosine triphosphate (ATP), glycerol, and adenosine diphosphate (ADP), associated with genes such as ACSL4, TP53, MAPK14, FLT1, AURKA, KDR, ERCC3, and PFKL. For left-sided colon cancer, glucose-6-phosphate (G6P), ATP, ADP, glycerol, and palmitoyl-CoA were key metabolites forming the basis of the gene-metabolite network, along with genes including G6PD, PFKL, MAPK14, FLT1, CDK4, AURKA, MAP2K1, ERCC3, TP53, WEE1, and GPD2. Conclusions: These findings highlight distinct molecular profiles between right- and left-sided colon cancers, particularly in pathways related to angiogenesis, apoptosis, ferroptosis, and fatty acid metabolism, which may inform therapeutic strategies.

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