Colorectal Cancer Metabolic Reprogramming Multi-Omics Integration Database (CRC-MRID)
Project
name：Colorectal Cancer Metabolic Reprogramming Multi-Omics Integration Database (CRC-MRID)
BuildTime：2025-04-26
Mark
Colorectal cancer (CRC) ranks as the third most commonly diagnosed malignancy worldwide. Characterized by insidious early symptoms and high heterogeneity, most patients are diagnosed at intermediate or advanced stages, leading to considerable treatment challenges and poor prognosis. Developing highly sensitive early diagnostic biomarkers is crucial to improving patient survival rates. Aberrantly expressed metabolic genes, which have high detectability in bodily fluids or tissues, represent ideal targets for non-invasive diagnostic biomarkers. Based on this premise, this database integrates 1,660 genes from 86 metabolic pathways in KEGG and identifies 349 CRC-specific differentially expressed metabolic genes through TCGA database screening. These genes participate in the core processes of tumor metabolic reprogramming, forming a critical candidate pool for potential diagnostic biomarkers and therapeutic targets. The database provides multidimensional annotations for these genes: 1.Basic information: Full name, aliases, gene type, ID, species. 2.Functional features: Subcellular localization, molecular function descriptions. 3.CRC clinical data: Differential gene expression, protein abundance, prognostic correlations, drug sensitivity. 4.Associated metabolic pathways. 5.Reference citations. By integrating multi-omics and clinical data, this database constructs a dynamic regulatory landscape of CRC metabolic genes, which supports three key applications: 1.Rapid screening of diagnostic biomarkers from high-specificity CRC metabolic gene sets. 2.Decoding tumor metabolic heterogeneity and its molecular links to clinical staging, metastasis, and treatment response. Identifying candidate molecules and combination therapy strategies for precision therapies targeting metabolic pathways. 3.This resource aims to advance CRC research, diagnostics, and therapeutic innovation through systematic metabolic gene characterization.
