ArticleJournal of cellular and molecular medicine2020
Identification of castration-resistant prostate cancer-related hub genes using weighted gene co-expression network analysis.
Article in Journal of cellular and molecular medicine, 2020. 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, 38 citations in OpenAlex.
- METTL14-Mediated lncRNA MSTRG.292666.16 mInternational journal of molecular sciences · 2026Article
- Transcriptomic analysis identifies hub genes involved in age-dependent abdominal fat development in chickens.Poultry science · 2026Article
- Clinical data investigation identifies MARK3 as an oncogenic driver in castration-resistant prostate cancer.Biochemistry and biophysics reports · 2025Article
- Resolving candidate genes of duck ovarian tissue transplantation via RNA-Seq and expression network analyses.Poultry science · 2024Article
- Exploration of the influence of GOLGA8B on prostate cancer progression and the resistance of castration-resistant prostate cancer to cabazitaxel.Discover oncology · 2024Article
- The role of the methyltransferase METTL3 in prostate cancer: a potential therapeutic target.BMC cancer · 2024Review
- The role of RNA modification in urological cancers: mechanisms and clinical potential.Discover oncology · 2023Review
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- MAPK8IP2 is a potential prognostic biomarker and promote tumor progression in prostate cancer.BMC cancer · 2022Article
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- Functions and mechanisms of N6‑methyladenosine in prostate cancer (Review).Molecular medicine reports · 2022Review
- Construction of pelvic floor muscle rehabilitation training program for patients undergoing laparoscopic radical prostatectomy.Translational cancer research · 2022Article
- Construction of a risk prediction model using m6A RNA methylation regulators in prostate cancer: comprehensive bioinformatic analysis and histological validation.Cancer cell international · 2022Article
- An Integrative Multi-Omics Analysis Based on Nomogram for Predicting Prostate Cancer Bone Metastasis Incidence.Genetics research · 2022Article
- Identification of Potential Biomarkers for Progression and Prognosis of Bladder Cancer by Comprehensive Bioinformatics Analysis.Journal of oncology · 2022Article
- Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease.Disease markers · 2022Article
- Interleukin-1 receptor associated kinase 1 (IRAK1) is epigenetically activated in luminal epithelial cells in prostate cancer.Frontiers in oncology · 2022Article
- Characterization of the m6A-Associated Tumor Immune Microenvironment in Prostate Cancer to Aid Immunotherapy.Frontiers in immunology · 2021Article
- Hub gene identification and prognostic model construction for isocitrate dehydrogenase mutation in glioma.Translational oncology · 2021Article
- Identification of castration-resistant prostate cancer-related hub genes using weighted gene co-expression network analysis.Journal of cellular and molecular medicine · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is the most common malignancy in urinary system and brings heavy burdens in men. We downloaded gene expression profile of mRNA and related clinical data of GSE70768 data set from public database. Weighted gene co-expression network analysis (WGCNA) was used to identify the relationships between gene modules and clinical features, as well as the candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were developed to investigate the potential functions of related hub genes. Importantly, basic experiments were performed to verify the relationship between hub genes and the phenotype previously identified. Lastly, copy number variation (CNV) analysis was conducted to explore the genetical alteration. WGCNA identified that black module was the most relevant module which was tightly related to castration-resistant prostate cancer (CRPC) phenotype. KEGG and GO analysis results revealed genes in black module were mainly related to RNA splicing. Additionally, 9 genes were chosen as hub genes and heterogeneous nuclear ribonucleoprotein A2/B1 (HNRNPA2B1), golgin A8 family member B (GOLGA8B) and mitogen-activated protein kinase 8 interacting protein 3 (MAPK8IP3) were identified to be associated with PCa progression and prognosis. Moreover, all above three genes were highly expressed in CRPC-like cells and their suppression led to hindered cell proliferation in vitro. Finally, CNV analysis found that amplification was the main type of alteration of the 3 hub genes. Our study found that HNRNPA2B1, GOLGA8B and MAPK8IP3 were identified to be tightly associated with tumour progression and prognosis, and further researches are needed before clinical application.
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