癌症
相关性(法律)
签名(拓扑)
临床意义
计算生物学
医学
生物
生物信息学
癌症研究
内科学
政治学
几何学
数学
法学
作者
Hao Chen,Xingyu Zhu,Xingyu Zhu,Xingyu Zhu,Xingyu Zhu,Yukui Zhang,Mingfei Wang,Kang Xu,Tianrong Ma,Haiyan Jing,Leping Li,Xingyu Zhu,Wei Chong,Leping Li
出处
期刊:Cell Reports
[Elsevier]
日期:2024-07-01
卷期号:43 (7): 114424-114424
标识
DOI:10.1016/j.celrep.2024.114424
摘要
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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