ArticleJournal of cellular and molecular medicine2019
Prognostic power of a lipid metabolism gene panel for diffuse gliomas.
Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.
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Who cites it
58 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical Significance and Immunometabolism Landscapes of a Novel Recurrence-Associated Lipid Metabolism Signature In Early-Stage Lung Adenocarcinoma: A Comprehensive Analysis.Frontiers in immunology · 2022Pooled it
- Pooled it
- PSMB8: an immune-related prognostic marker for low-grade gliomas.Translational cancer research · 2026Article
- Phosphatidylinositol 4-kinase α suppresses glioblastoma progression by inactivating YAP and PI3K/Akt signaling.The Journal of biological chemistry · 2026Article
- Lipid metabolism-related genes correlate with immune microenvironment and regulate the efficacy of immunotherapy via ferroptosis in melanoma.Discover oncology · 2025Article
- Metabolism: an important player in glioma survival and development.Discover oncology · 2024Review
- A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer.Discover oncology · 2024Article
- WD repeat domain 76 predicts poor prognosis in lower grade glioma and provides an original target for immunotherapy.European journal of medical research · 2024Article
- Spatial transcriptomics analysis identifies therapeutic targets in diffuse high-grade gliomas.Frontiers in molecular neuroscience · 2024Article
- Deciphering the role of lipid metabolism-related genes in Alzheimer's disease: a machine learning approach integrating Traditional Chinese Medicine.Frontiers in endocrinology · 2024Article
- The construction of a novel prognostic prediction model for glioma based on GWAS-identified prognostic-related risk loci.Open medicine (Warsaw, Poland) · 2024Article
- A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validation.Discover oncology · 2023Article
- Prognosis and immunoinfiltration analysis of angiogene-related genes in grade 4 diffuse gliomas.Aging · 2023Article
- Article
- The Spectrum of Molecular Pathways in Gliomas-An Up-to-Date Review.Biomedicines · 2023Review
- Comprehensive analysis of the clinical and biological significances of cholesterol metabolism in lower-grade gliomas.BMC cancer · 2023Article
- Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment.BMC medical genomics · 2023Article
- A pilot study: Metabolic profiling of plasma and saliva samples from newly diagnosed glioblastoma patients.Cancer medicine · 2023Article
- Article
- Targeting inhibition of prognosis-related lipid metabolism genes including CYP19A1 enhances immunotherapeutic response in colon cancer.Journal of experimental & clinical cancer research : CR · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid metabolism reprogramming plays important role in cell growth, proliferation, angiogenesis and invasion in cancers. However, the diverse lipid metabolism programmes and prognostic value during glioma progression remain unclear. Here, the lipid metabolism-related genes were profiled using RNA sequencing data from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) database. Gene ontology (GO) and gene set enrichment analysis (GSEA) found that glioblastoma (GBM) mainly exhibited enrichment of glycosphingolipid metabolic progress, whereas lower grade gliomas (LGGs) showed enrichment of phosphatidylinositol metabolic progress. According to the differential genes of lipid metabolism between LGG and GBM, we developed a nine-gene set using Cox proportional hazards model with elastic net penalty, and the CGGA cohort was used for validation data set. Survival analysis revealed that the obtained gene set could differentiate the outcome of low- and high-risk patients in both cohorts. Meanwhile, multivariate Cox regression analysis indicated that this signature was a significantly independent prognostic factor in diffuse gliomas. Gene ontology and GSEA showed that high-risk cases were associated with phenotypes of cell division and immune response. Collectively, our findings provided a new sight on lipid metabolism in diffuse gliomas.
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