ArticleBMC cancer2021
A lipid metabolism-related genes prognosis biomarker associated with the tumor immune microenvironment in colorectal carcinoma.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- A malignant symbiosis: The neuro-metabolic symphony rewires the tumor microenvironment.Neoplasia (New York, N.Y.) · 2026Review
- Inflammation and Colorectal Cancer Pathogenesis: Molecular, Immunological, and Environmental Features for Therapy Response and Resistances.International journal of molecular sciences · 2026Review
- A novel lipid droplet-related prognostic signature reveals CIDEC as a key biomarker for pancreatic adenocarcinoma.Frontiers in oncology · 2026Article
- Linoleic Acid Reduces Paclitaxel Chemosensitivity in Colorectal Cancer.Drug design, development and therapy · 2026Article
- Cholesterol metabolism and cancer: Molecular mechanisms, immune regulation and an epidemiological perspective (Review).International journal of molecular medicine · 2025Review
- Identification of a novel signature based on RNA methylation-associated anoikis-related genes for predicting prognosis and characterizing immune landscape in colorectal cancer.Discover oncology · 2025Article
- Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancer.Frontiers in immunology · 2025Article
- A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer.Discover oncology · 2024Article
- Lipid metabolism associated crosstalk: the bidirectional interaction between cancer cells and immune/stromal cells within the tumor microenvironment for prognostic insight.Cancer cell international · 2024Review
- Prognostic risk model under the immune-associated long chain non-coding ribonucleic acid and its application in survival prognosis assessment of patients with breast cancer.Scientific reports · 2024Article
- Obesity enhances the response to neoadjuvant anti-PD1 therapy in oral tongue squamous cell carcinoma.Cancer medicine · 2024Article
- A lipid metabolism-related gene signature reveals dynamic immune infiltration of the colorectal adenoma-carcinoma sequence.Lipids in health and disease · 2023Article
- Development and internal validation of nomograms based on plasma metabolites to predict non-small cell lung cancer risk in smoking and nonsmoking populations.Thoracic cancer · 2023Article
- Characteristics of endoplasmic reticulum stress in colorectal cancer for predicting prognosis and developing treatment options.Cancer medicine · 2023Article
- Lipid metabolism-related gene signature predicts prognosis and depicts tumor microenvironment immune landscape in gliomas.Frontiers in immunology · 2023Article
- Novel characterization discoveries of ferroptosis-associated molecules in COAD microenvironment based TCGA data.Frontiers in molecular biosciences · 2022Article
- Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer.Frontiers in immunology · 2022Article
- A Prognostic Ferroptosis-Related lncRNA Model Associated With Immune Infiltration in Colon Cancer.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimLipid metabolic reprogramming is considered to be a new hallmark of malignant tumors. The purpose of this study was to explore the expression profiles of lipid metabolism-related genes (LMRG) in colorectal cancer (CRC).
methodsThe lipid metabolism statuses of 500 CRC patients from the Cancer Genome Atlas (TCGA) and 523 from the Gene Expression Omnibus (GEO GSE39582) database were analyzed. The risk signature was constructed by univariate Cox regression and least absolute shrinkage and selection operator (LASSO) Cox regression.
resultsA novel four-LMRG signature (PROCA1, CCKBR, CPT2, and FDFT1) was constructed to predict clinical outcomes in CRC patients. The risk signature was shown to be an independent prognostic factor for CRC and was associated with tumour malignancy. Principal components analysis demonstrated that the risk signature could distinguish between low- and high-risk patients. There were significantly differences in abundances of tumor-infiltrating immune cells and mutational landscape between the two risk groups. Patients in the low-risk group were more likely to have higher tumor mutational burden, stem cell characteristics, and higher PD-L1 expression levels. Furthermore, a genomic-clinicopathologic nomogram was established and shown to be a more effective risk stratification tool than any clinical parameter alone.
conclusionsThis study demonstrated the prognostic value of LMRG and showed that they may be partially involved in the suppressive immune microenvironment formation.
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