ArticleWorld journal of clinical cases2021
Development of a lipid metabolism-related gene model to predict prognosis in patients with pancreatic cancer.
Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 8 citations in OpenAlex.
- Identification of prognostic genes and development of a risk model for pancreatic cancer based on hypoxia- and lipid metabolism-related genes.Discover oncology · 2026Article
- RNA-Seq Reveals Gastrointestinal Transcriptome Dynamics in Preweaning Yak Calves Fed Concentrate Supplements.Animals : an open access journal from MDPI · 2026Article
- Identification of lipid metabolism-related biomarkers in familial hypercholesterolemia via integrated bioinformatics and machine learning approaches.Journal of cardiothoracic surgery · 2026Article
- Lipid metabolism-related genes correlate with immune microenvironment and regulate the efficacy of immunotherapy via ferroptosis in melanoma.Discover oncology · 2025Article
- Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- PPAR γ changing ALDH1A3 content to regulate lipid metabolism and inhibit lung cancer cell growth.Molecular genetics and genomics : MGG · 2025Article
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug.Advanced healthcare materials · 2023Article
- Hepatic transcript profiling in beef cattle: Effects of rumen-protected niacin supplementation.PloS one · 2023Article
- Establishment and validation of a ubiquitination-related gene signature associated with prognosis in pancreatic duct adenocarcinoma.Frontiers in immunology · 2023Article
- Identification of lipid metabolism-associated genes as prognostic biomarkers based on the immune microenvironment in hepatocellular carcinoma.Frontiers in cell and developmental biology · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer is a highly heterogeneous disease, making prognosis prediction challenging. Altered energy metabolism to satisfy uncontrolled proliferation and metastasis has become one of the most important markers of tumors. However, the specific regulatory mechanism and its effect on prognosis have not been fully elucidated.
aimTo construct a prognostic polygene signature of differentially expressed genes (DEGs) related to lipid metabolism.
methodsFirst, 9 tissue samples from patients with pancreatic cancer were collected and divided into a cancer group and a para-cancer group. All patient samples were subjected to metabolomics analysis based on liquid tandem chromatography quadrupole time of flight mass spectrometry. Then, mRNA expression profiles and corresponding clinical data of pancreatic cancer were downloaded from a public database. Least absolute shrinkage and selection operator Cox regression analysis was used to construct a multigene model for The Cancer Genome Atlas.
resultsPrincipal component analysis and orthogonal projections to latent structures-discriminant analysis (OPLS-DA) based on lipid metabolomics analysis showed a clear distribution in different regions. A Euclidean distance matrix was used to calculate the quantitative value of differential metabolites. The permutation test of the OPLS-DA model for tumor tissue and paracancerous tissue indicated that the established model was consistent with the actual condition based on sample data. A bar plot showed significantly higher levels of the lipid metabolites phosphatidylcholine (PC), phosphatidyl ethanolamine (PE), phosphatidylethanol(PEtOH), phosphatidylmethanol (PMeOH), phosphatidylserine (PS) and diacylglyceryl trimethylhomoserine (DGTS) in tumor tissues than in paracancerous tissues. According to bubble plots, PC, PE, PEtOH, PMeOH, PS and DGTS were significantly higher in tumor tissues than in paracancerous tissues. In total, 12.3% (25/197) of genes related to lipid metabolism were differentially expressed between tumor tissues and adjacent paracancerous tissues. Six DEGs correlated with overall survival in univariate Cox regression analysis (
conclusionThis novel model comprising 4 lipid metabolism-related genes might assist clinicians in the prognostic evaluation of patients with pancreatic cancer.
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