ArticleFrontiers in cell and developmental biology2021
A Novel Risk Model Based on Lipid Metabolism-Associated Genes Predicts Prognosis and Indicates Immune Microenvironment in Breast Cancer.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
- [Construction of a prognosis forecasting model for breast cancer based on lipid metabolism-related genes and functional verification ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Article
- A palmitoylation-related signature predicts prognosis and immune microenvironment features in diffuse large B-cell lymphoma.Frontiers in immunology · 2026Article
- BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival.Journal of translational medicine · 2025Article
- Alterations in the Gut Microbiota and Metabolite Profiles of Lung Cancer Patients.Current microbiology · 2025Article
- Genomic mutation profile and metabolic alterations in diffuse large B-cell lymphoma with abdominal bulky mass.Annals of hematology · 2025Article
- Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms.Discover oncology · 2025Article
- Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning.Scientific reports · 2025Article
- Current Status of Breast Cancer Immunotherapy and Prognosis-Related Markers.Breast cancer (Dove Medical Press) · 2025Review
- Identifying colorectal cancer subtypes and establishing a prognostic model using metabolic plasticity and ferroptosis genes.Scientific reports · 2024Article
- The fatty acid omega hydroxylase genes (CYP4 family) in the progression of metabolic dysfunction-associated steatotic liver disease (MASLD): An RNA sequence database analysis and review.Biochemical pharmacology · 2024Review
- 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
- Obesity enhances the response to neoadjuvant anti-PD1 therapy in oral tongue squamous cell carcinoma.Cancer medicine · 2024Article
- [A risk scoring model based on M2 macrophage-related genes for predicting prognosis of HBV-related hepatocellular carcinoma].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma.Bioscience reports · 2024Article
- A novel lipid metabolism-based risk model associated with immunosuppressive mechanisms in diffuse large B-cell lymphoma.Lipids in health and disease · 2024Article
- A prognostic metabolism-related gene signature associated with the tumor immune microenvironment in neuroblastoma.American journal of cancer research · 2024Article
- Prophylactic cranial irradiation-related lymphopenia affects survival in patients with limited-stage small cell lung cancer.Heliyon · 2023Article
- Targeting inhibition of prognosis-related lipid metabolism genes including CYP19A1 enhances immunotherapeutic response in colon cancer.Journal of experimental & clinical cancer research : CR · 2023Article
- Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer.Mediators of inflammation · 2023Article
- Insight of a lipid metabolism prognostic model to identify immune landscape and potential target for retroperitoneal liposarcoma.Frontiers in immunology · 2023Article
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5 authors.
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Abstract
backgroundBreast cancer (BRCA) is the most common tumor in women, and lipid metabolism involvement has been demonstrated in its tumorigenesis and development. However, the role of lipid metabolism-associated genes (LMAGs) in the immune microenvironment and prognosis of BRCA remains unclear.
methodsA total of 1076 patients with BRCA were extracted from The Cancer Genome Atlas database and randomly assigned to the training cohort (
resultsConsensus clustering classified the patients with BRCA into two subgroups with significantly different overall survival rates and immune microenvironments. Better prognosis was associated with high immune infiltration. The prognostic risk model, based on four LMAGs (
conclusionThis study demonstrated, for the first time, that LMAG expression plays a crucial role in BRCA. The LMAG-based risk model successfully predicted the prognosis and indicated the immune microenvironment of patients with BRCA. Our study may provide inspiration for further research on BRCA pathomechanisms.
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