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Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer. | LitMetric

Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer.

Cell Rep

Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China. Electronic address:

Published: July 2024

AI Article Synopsis

  • * MSC1 has the best prognosis linked to active TCA cycle and lipid metabolism; MSC2 has a moderate prognosis with enriched nucleotide and amino acid metabolism; and MSC3 has the poorest prognosis, driven by glycan and energy metabolism.
  • * A new scoring model was developed to evaluate tumor activity, highlighting connections between metabolic signatures and the cancer's diverse behaviors, which can aid in understanding GC's complexity.

Article Abstract

Metabolic reprogramming dictates tumor molecular attributes and therapeutic potentials. However, the comprehensive metabolic characteristics in gastric cancer (GC) remain obscure. Here, metabolic signature-based clustering analysis identifies three subtypes with distinct molecular and clinical features: MSC1 showed better prognosis and upregulation of the tricarboxylic acid (TCA) cycle and lipid metabolism, combined with frequent TP53 and RHOA mutation; MSC2 had moderate prognosis and elevated nucleotide and amino acid metabolism, enriched by intestinal histology and mismatch repair deficient (dMMR); and MSC3 exhibited poor prognosis and enhanced glycan and energy metabolism, accompanied by diffuse histology and frequent CDH1 mutation. The Shandong Provincial Hospital (SDPH) in-house dataset with matched transcriptomic, metabolomic, and spatial-metabolomic analysis also validated these findings. Further, we constructed the metabolic subtype-related prognosis gene (MSPG) scoring model to quantify the activity of individual tumors and found a positive correlation with cuproptosis signaling. In conclusion, comprehensive recognition of the metabolite signature can enhance the understanding of diversity and heterogeneity in GC.

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Source
http://dx.doi.org/10.1016/j.celrep.2024.114424DOI Listing

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