ArticleLipids in health and disease2021
Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer.
Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 69 citations in OpenAlex.
- Integrative analysis of myeloid cell signatures identifies a prognostic risk model and potential mechanisms in bladder cancer.Biology direct · 2026Article
- [Analysis of urine biomarkers in urothelial carcinoma based on untargeted metabolomics].Se pu = Chinese journal of chromatography · 2026Article
- Determination of Nitrogen Metabolism-Related Prognostic Signatures for Forecasting Bladder Cancer PrognosisEndocrine, metabolic & immune disorders drug targets · 2026Article
- Lipid Metabolism-Related Genes Define Prognosis and Therapeutic Targets in Thyroid Cancer.International journal of genomics · 2026Article
- Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer.Frontiers in immunology · 2026Article
- Epigenomics-Guided Multi-Omics Integration Uncovers a Lipid-Metabolic Signature with Translational Utility in Bladder Cancer.Computational and structural biotechnology journal · 2026Article
- LAMP5 as a novel prognostic biomarker linked to the tumor immune microenvironment in esophageal squamous cell carcinoma.American journal of cancer research · 2026Article
- Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia.Discover oncology · 2025Article
- A novel bone metastasis-related gene signature for predicting prognosis, anti-androgen resistance, and drug choice in prostate cancer.Journal of bone oncology · 2025Article
- Identifying key targets and immune environment in wound healing based on iron overload-related genes.Archives of dermatological research · 2025Article
- Exploring lipid metabolism-associated gene biomarkers and their regulatory mechanisms in nasopharyngeal carcinoma.Cancer biomarkers : section A of Disease markers · 2025Article
- Development of a m6A- and ferroptosis-related LncRNA signature for forecasting prognosis and treatment response in cervical cancer.BMC cancer · 2025Article
- Epigenetic mechanisms underlying endometrial cancer outcomes: race-specific patterns of DNA methylation associated with molecular subtypes and survival.Carcinogenesis · 2025Article
- Decoding the Tumor Microenvironment of Myoepithelial Cells in Triple-Negative Breast Cancer Through Single-Cell and Transcriptomic Sequencing and Establishing a Prognostic Model Based on Key Myoepithelial Cell Genes.International journal of genomics · 2025Article
- Epigenetic dysregulation-induced metabolic reprogramming fuels tumor progression in bladder cancer.Frontiers in molecular biosciences · 2025Article
- Identifying colorectal cancer subtypes and establishing a prognostic model using metabolic plasticity and ferroptosis genes.Scientific reports · 2024Article
- Magnetic 3D macroporous MOF oriented urinary exosome metabolomics for early diagnosis of bladder cancer.Journal of nanobiotechnology · 2024Article
- A novel model based on lipid metabolism-related genes associated with immune microenvironment predicts metastasis of breast cancer.Discover oncology · 2024Article
- Higher genetically predicted triglyceride level increases the bladder cancer risk independent of LDL and HDL levels.Scientific reports · 2024Article
- Harnessing lipid metabolism modulation for improved immunotherapy outcomes in lung adenocarcinoma.Journal for immunotherapy of cancer · 2024Article
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5 authors at 1 institution in 1 country.
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Abstract
backgroundBladder cancer (BLCA) is a common cancer associated with an unfavorable prognosis. Increasing numbers of studies have demonstrated that lipid metabolism affects the progression and treatment of tumors. Therefore, this study aimed to explore the function and prognostic value of lipid metabolism-related genes in patients with bladder cancer.
methodsLipid metabolism-related genes (LRGs) were acquired from the Molecular Signature Database (MSigDB). LRG mRNA expression and patient clinical data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis was used to construct a signature for predicting overall survival of patients with BLCA. Kaplan-Meier analysis was performed to assess prognosis. The connectivity Map (CMAP) database was used to identify small molecule drugs for treatment. A nomogram was constructed and assessed by combining the signature and other clinical factors. The CIBERSORT, MCPcounter, QUANTISEQ, XCELL, CIBERSORT-ABS, TIMER and EPIC algorithms were used to analyze the immunological characteristics.
resultsAn 11-LRG signature was successfully constructed and validated to predict the prognosis of BLCA patients. Furthermore, we also found that the 11-gene signature was an independent hazardous factor. Functional analysis suggested that the LRGs were closely related to the PPAR signaling pathway, fatty acid metabolism and AMPK signaling pathway. The prognostic model was closely related to immune cell infiltration. Moreover, the expression of key immune checkpoint genes (PD1, CTLA4, PD-L1, LAG3, and HAVCR2) was higher in patients in the high-risk group than in those in the low-risk group. The prognostic signature based on 11-LRGs exhibited better performance in predicting overall survival than conventional clinical characteristics. Five small molecule drugs could be candidate drug treatments for BLCA patients based on the CMAP dataset.
conclusionsIn conclusion, the current study identified a reliable signature based on 11-LRGs for predicting the prognosis and response to immunotherapy in patients with BLCA. Five small molecule drugs were identified for the treatments of BLCA patients.
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