ArticleInternational journal of general medicine2021
Identification of a Lipid Metabolism-Associated Gene Signature Predicting Survival in Breast Cancer.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Biosynthesis of Phosphatidylethanolamine and Phosphatidylcholine via the Kennedy Pathway in Cancer and Other Pathological Conditions.International journal of molecular sciences · 2026Review
- Article
- Identification of novel cholesterol metabolism-related biomarkers for thyroid cancer to predict the prognosis, immune infiltration, and drug sensitivity.Discover oncology · 2025Article
- A Nine-Gene Expression Signature Distinguished a Patient with Chronic Lymphocytic Leukemia Who Underwent Prolonged Periodic Fasting.Medicina (Kaunas, Lithuania) · 2023Article
- Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers.Human genomics · 2023Article
- Insight of a lipid metabolism prognostic model to identify immune landscape and potential target for retroperitoneal liposarcoma.Frontiers in immunology · 2023Article
- A Metabolic Gene Signature to Predict Breast Cancer Prognosis.Frontiers in molecular biosciences · 2022Article
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8 authors.
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Abstract
backgroundCancer metabolism and specifically lipid metabolism play an important role in breast cancer (BC) progression and metastasis. However, the role of lipid metabolism-associated genes (LMGs) in the prognosis of breast cancer remains unknown.
methodsThe expression profiles and clinical follow-up information of 1053 BC were downloaded from The Cancer Genome Atlas (TCGA), and metabolic genes were downloaded from the Gene Set Enrichment Analysis (GSEA) dataset. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were performed on the differentially expressed metabolism-related genes. Then, the formula of the metabolism-related risk model was composed, and the risk score of each patient was calculated. The breast cancer patients were divided into high-risk and low-risk groups with a cutoff of the median expression value of the risk score, and the prognostic analysis was also used to analyze the survival time between these two groups. Finally, we analyzed the expression, interaction and correlation among the lipid metabolism-associated genes risk model.
resultsThe results from the prognostic analysis indicated that the survival was significantly poorer in the high-risk group than in the low-risk group in TCGA, and single-sample gene set enrichment analysis (ssGSEA) shows it is plausible that lipid metabolism is highly correlated with tumor immunity.
conclusionLipid metabolism-associated genes may become a new prognostic indicator predicting the survival of BC patients. The prognostic genes (n = 16) may help provide new strategies for tumor therapy.
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