ArticleFrontiers in oncology2021
Fatty Acid Metabolism-Related lncRNAs Are Potential Biomarkers for Predicting the Overall Survival of Patients With Colorectal Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Targeting Metabolism in Cancer Therapy: Inhibitors and Approaches.Cancer treatment and research · 2026Review
- LncRNA TSPEAR-AS2 Maintains the Stemness of Gastric Cancer Stem Cells by Regulating the miR-15a-5p/CCND1 Axis.Biomolecules · 2025Article
- Review
- Metabolic Reprogramming in Colorectal Cancer: The Impact of Fatty Acid Metabolism.Human mutation · 2025Review
- Fatty acid metabolism-related enzymes in colorectal cancer metastasis: from biological function to molecular mechanism.Cell death discovery · 2024Review
- Article
- LncRNAs-circRNAs as Rising Epigenetic Binary Superstars in Regulating Lipid Metabolic Reprogramming of Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Identification of necroptosis-related lncRNAs for prognosis prediction and screening of potential drugs in patients with colorectal cancer.World journal of gastrointestinal oncology · 2023Article
- circCAPRIN1 interacts with STAT2 to promote tumor progression and lipid synthesis via upregulating ACC1 expression in colorectal cancer.Cancer communications (London, England) · 2023Article
- Article
- Regulatory Role of Fatty Acid Metabolism-Related Long Noncoding RNA in Prostate Cancer: A Computational Biology Study Analysis.Journal of oncology · 2023Article
- Role of a lipid metabolism-related lncRNA signature in risk stratification and immune microenvironment for colon cancer.BMC medical genomics · 2022Article
- A Potential Fatty Acid Metabolism-Related Gene Signature for Prognosis in Clear Cell Renal Cell Carcinoma.Cancers · 2022Article
- The role of noncoding RNAs in cancer lipid metabolism.Frontiers in oncology · 2022Review
- A novel lipid metabolism-related lncRNA signature predictive of clinical prognosis in cervical cancer.Frontiers in genetics · 2022Article
- Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers.Frontiers in oncology · 2022Review
- Evaluation of the ability of fatty acid metabolism signature to predict response to neoadjuvant chemoradiotherapy and prognosis of patients with locally advanced rectal cancer.Frontiers in immunology · 2022Article
- Identification of A Risk Signature Based on Lactic Acid Metabolism-Related LncRNAs in Patients With Esophageal Squamous Cell Carcinoma.Frontiers in cell and developmental biology · 2022Article
- Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients.Frontiers in immunology · 2022Article
- The remodeling roles of lipid metabolism in colorectal cancer cells and immune microenvironment.Oncology research · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abnormal metabolism, including abnormal fatty acid metabolism, is an emerging hallmark of cancer. The current study sought to investigate the potential prognostic value of fatty acid metabolism-related long noncoding RNAs (lncRNAs) in colorectal cancer (CRC). To this end, we obtained the gene expression data and clinical data of patients with CRC from The Cancer Genome Atlas (TCGA) database. Through gene set variation analysis (GSVA), we found that the fatty acid metabolism pathway was related to the clinical stage and prognosis of patients with CRC. After screening differentially expressed RNAs, we constructed a fatty acid metabolism-related competing endogenous RNA (ceRNA) network based on the miRTarBase, miRDB, TargetScan, and StarBase databases. Next, eight fatty acid metabolism-related lncRNAs included in the ceRNA network were identified to build a prognostic signature with Cox and least absolute shrinkage and selection operator (LASSO) regression analyses, and a nomogram was established based on the lncRNA signature and clinical variables. The signature and nomogram were further validated by Kaplan-Meier survival analysis, Cox regression analysis, calibration plots, receiver operating characteristic (ROC) curves, decision curve analysis (DCA). Besides, the TCGA internal and the quantitative real-time polymerase chain reaction (qRT-PCR) external cohorts were applied to successfully validate the robustness of the signature and nomogram. Finally,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.