ArticleHereditas2019
A co-expression network for differentially expressed genes in bladder cancer and a risk score model for predicting survival.
Article in Hereditas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Nested co-expression network analysis identifies compact gene clusters in a black box.Bioinformatics (Oxford, England) · 2026Article
- Nutraceutical Evaluation of Trigonelline's Therapeutic Potential by Targeting Bladder Cancer Stem Cells and Cancer-Associated Fibroblasts via Downregulation of TGFβ3/GLI2/YAP1 Signaling Hub.International journal of medical sciences · 2025Article
- Prognostic value ofWorld journal of gastrointestinal oncology · 2024Article
- Pan-Cancer Analysis of P3H1 and Experimental Validation in Renal Clear Cell Carcinoma.Applied biochemistry and biotechnology · 2024Article
- Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles.Nucleic acids research · 2024Article
- Algorithmically Reconstructed Molecular Pathways as the New Generation of Prognostic Molecular Biomarkers in Human Solid Cancers.Proteomes · 2023Article
- Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer types.Cancer medicine · 2023Article
- Establishment of a risk score model for bladder urothelial carcinoma based on energy metabolism-related genes and their relationships with immune infiltration.FEBS open bio · 2023Article
- Identification of Regulatory Factors and Prognostic Markers in Amyotrophic Lateral Sclerosis.Antioxidants (Basel, Switzerland) · 2022Article
- Immunological significance of alternative splicing prognostic signatures for bladder cancer.Heliyon · 2022Article
- Identification of three hub genes related to the prognosis of idiopathic pulmonary fibrosis using bioinformatics analysis.International journal of medical sciences · 2022Article
- Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes.Journal of immunology research · 2022Article
- Identification and Verification of Immune Subtype-Related lncRNAs in Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2022Article
- Construction of an Epithelial-Mesenchymal Transition-Related Model for Clear Cell Renal Cell Carcinoma Prognosis Prediction.Disease markers · 2022Article
- Establishment and Validation of a Tumor Microenvironment Prognostic Model for Predicting Bladder Cancer Survival Status Based on Integrated Bioinformatics Analyses.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Construction of the model for predicting prognosis by key genes regulating EGFR-TKI resistance.Frontiers in genetics · 2022Article
- Identification of Five Hub Genes as Key Prognostic Biomarkers in Liver Cancer via Integrated Bioinformatics Analysis.Biology · 2021Article
- Preclinical analysis of novel prognostic transcription factors and immune-related gene signatures for bladder cancer via TCGA-based bioinformatic analysis.Oncology letters · 2021Article
- Defining muscle-invasive bladder cancer immunotypes by introducing tumor mutation burden, CD8+ T cells, and molecular subtypes.Hereditas · 2021Article
- P3H4 Overexpression Serves as a Prognostic Factor in Lung Adenocarcinoma.Computational and mathematical methods in medicine · 2021Article
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8 authors.
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Abstract
backgroundUrothelial bladder cancer (BLCA) is one of the most common internal malignancies worldwide with poor prognosis. This study aims to explore effective prognostic biomarkers and construct a prognostic risk score model for patients with BLCA.
methodsWeighted gene co-expression network analysis (WGCNA) was used for identifying the co-expression module related to the pathological stage of BLCA based on the RNA-Seq data retrieved from The Cancer Genome Atlas database. Prognostic biomarkers screened by Cox proportional hazard regression model and random forest were used to construct a risk score model that can predict the prognosis of patients with BLCA. The GSE13507 dataset was used as the independent testing dataset to test the performance of the risk score model in predicting the prognosis of patients with BLCA.
resultsWGCNA identified seven co-expression modules, in which the brown module consisted of 77 genes was most significantly correlated with the pathological stage of BLCA. Cox proportional hazard regression model and random forest identified TPST1 and P3H4 as prognostic biomarkers. Elevated TPST1 and P3H4 expressions were associated with the high pathological stage and worse survival. The risk score model based on the expression level of TPST1 and P3H4 outperformed pathological stage indicators and previously proposed prognostic models.
conclusionThe gene co-expression network-based study could provide additional insight into the tumorigenesis and progression of BLCA, and our proposed risk score model may aid physicians in the assessment of the prognosis of patients with BLCA.
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