ArticleJournal of translational medicine2021
Molecular subtype identification and prognosis stratification by a metabolism-related gene expression signature in colorectal cancer.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Translating Molecular Subtypes into Cost-Effective Radiogenomic Biomarkers for Prognosis of Colorectal Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- NMR-based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages.International journal of cancer · 2025Article
- Identifying colorectal cancer subtypes and establishing a prognostic model using metabolic plasticity and ferroptosis genes.Scientific reports · 2024Article
- Single-Cell Transcriptomics Reveals Cellular Heterogeneity and Drivers in Serrated Pathway-Driven Colorectal Cancer Progression.International journal of molecular sciences · 2024Article
- Gut microbial subtypes and clinicopathological value for colorectal cancer.Cancer medicine · 2024Article
- Insights into metabolic heterogeneity of colorectal cancer gained from fluorescence lifetime imaging.eLife · 2024Article
- Consensus clustering and development of a risk signature based on trajectory differential genes of cancer-associated fibroblast subpopulations in colorectal cancer.Journal of cancer research and clinical oncology · 2024Article
- Identification of a signature of histone modifiers in kidney renal clear cell carcinoma.Aging · 2024Article
- Exploring the prognostic significance of immunogenic cell death-related genes as risk biomarkers in cervical cancer.Immunity, inflammation and disease · 2024Article
- Article
- PESSA: A web tool for pathway enrichment score-based survival analysis in cancer.PLoS computational biology · 2024Article
- Molecular subtyping and the construction of a predictive model of colorectal cancer based on ion channel genes.European journal of medical research · 2024Article
- Construction of an immune predictive model and identification of TRIP6 as a prognostic marker and therapeutic target of CRC by integration of single-cell and bulk RNA-seq data.Cancer immunology, immunotherapy : CII · 2024Article
- B7-H3 at the crossroads between tumor plasticity and colorectal cancer progression: a potential target for therapeutic intervention.Cancer metastasis reviews · 2024Review
- Incorporating Novel Technologies in Precision Oncology for Colorectal Cancer: Advancing Personalized Medicine.Cancers · 2024Review
- Identification of novel T cell proliferation patterns, potential biomarkers and therapeutic drugs in colorectal cancer.Journal of Cancer · 2024Article
- Metabolic checkpoints in glioblastomas: targets for new therapies and non-invasive detection.Frontiers in oncology · 2024Review
- Metabolic Heterogeneity of Tumor Cells and its Impact on Colon Cancer Metastasis: Insights from Single-Cell and Bulk Transcriptome Analyses.Journal of Cancer · 2024Article
- Comprehensive exploration of immune checkpoint-related genes in the prognosis and tumor immune microenvironment of pancreatic adenocarcinoma.Clinics (Sao Paulo, Brazil) · 2024Article
- A lipid metabolism-related gene signature reveals dynamic immune infiltration of the colorectal adenoma-carcinoma sequence.Lipids in health and disease · 2023Article
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8 authors.
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Abstract
backgroundMetabolic reprograming have been associated with cancer occurrence and progression within the tumor immune microenvironment. However, the prognostic potential of metabolism-related genes in colorectal cancer (CRC) has not been comprehensively studied. Here, we investigated metabolic transcript-related CRC subtypes and relevant immune landscapes, and developed a metabolic risk score (MRS) for survival prediction.
methodsMetabolism-related genes were collected from the Molecular Signatures Database and metabolic subtypes were identified using an unsupervised clustering algorithm based on the expression profiles of survival-related metabolic genes in GSE39582. The ssGSEA and ESTIMATE methods were applied to estimate the immune infiltration among subtypes. The MRS model was developed using LASSO Cox regression in the GSE39582 dataset and independently validated in the TCGA CRC and GSE17537 datasets.
resultsWe identified two metabolism-related subtypes (cluster-A and cluster-B) of CRC based on the expression profiles of 539 survival-related metabolic genes with distinct immune profiles and notably different prognoses. The cluster-B subtype had a shorter OS and RFS than the cluster-A subtype. Eighteen metabolism-related genes that were mostly involved in lipid metabolism pathways were used to build the MRS in GSE39582. Patients with higher MRS had worse prognosis than those with lower MRS (HR 3.45, P < 0.001). The prognostic role of MRS was validated in the TCGA CRC (HR 2.12, P = 0.00017) and GSE17537 datasets (HR 2.67, P = 0.039). Time-dependent receiver operating characteristic curve and stratified analyses revealed the robust predictive ability of the MRS in each dataset. Multivariate Cox regression analysis indicted that the MRS could predict OS independent of TNM stage and age.
conclusionsOur study provides novel insight into metabolic heterogeneity and its relationship with immune landscape in CRC. The MRS was identified as a robust prognostic marker and may facilitate individualized therapy for CRC patients.
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