MOLECULAR SUBTYPING METHOD FOR GASTRIC CANCER BASED ON METABOLIC GENES, CONSTRUCTION METHOD FOR PROGNOSTIC PREDICTION MODEL AND APPLICATIONS
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United States of America
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Jan 16, 2025
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Jul 12, 2024
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Jul 12, 2024
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Abstract
The present disclosure belongs to the technical fields of computational medicine and clinical oncology, and specifically relates to a molecular subtyping method for gastric cancer (GC) based on metabolic genes, a construction method for a prognostic prediction model and applications. In the present disclosure, metabolic process alterations are overall assessed, and new metabolic transcription patterns based on 456 metabolic gene-related signatures are identified. Three different metabolic patterns are validated by unsupervised consensus clustering analysis and independent datasets, and molecular and clinical pathological features of these three metabolite clusters have different metabolic gene expressions, pathway enrichments, gene variations, and survival outcomes. In addition, in the present disclosure, a scoring scheme is constructed to assess metabolic patterns of individual tumors, revealing the relationships between the metabolic patterns with prognosis, cuproptosis and immune regulation, and having a good value for practical application.
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