ArticleJournal of cancer research and clinical oncology2017
Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach.
Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Discovery of Essential Genes as Possible Targets for Prostate Cancer Drug Development.International journal of genomics · 2025Article
- Review
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- Identification and Validation of Three Hub Genes Involved in Cell Proliferation and Prognosis of Castration-Resistant Prostate Cancer.Oxidative medicine and cellular longevity · 2022Article
- An Integrated Analysis of Prognostic Signature and Immune Microenvironment in Tongue Squamous Cell Carcinoma.Frontiers in oncology · 2022Article
- Screening a novel six critical gene-based system of diagnostic and prognostic biomarkers in prostate adenocarcinoma patients with different clinical variables.American journal of translational research · 2022Article
- Are There Limits in Explainability of Prognostic Biomarkers? Scrutinizing Biological Utility of Established Signatures.Cancers · 2021Article
- Article
- Integrated Analysis of Weighted Gene Coexpression Network Analysis Identifying Six Genes as Novel Biomarkers for Alzheimer's Disease.Oxidative medicine and cellular longevity · 2021Article
- Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases.Computational and mathematical methods in medicine · 2021Article
- Weighted Correlation Gene Network Analysis Reveals New Potential Mechanisms and Biomarkers in Non-obstructive Azoospermia.Frontiers in genetics · 2021Article
- Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis.Frontiers in genetics · 2021Article
- Identification of Lymph Node Metastasis-Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis.Frontiers in molecular biosciences · 2021Article
- Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA.Frontiers in molecular biosciences · 2021Article
- Screening of hub genes associated with prognosis in non-small cell lung cancer by integrated bioinformatics analysis.Translational cancer research · 2020Article
- Disease-related cellular protein networks differentially affected under different EGFR mutations in lung adenocarcinoma.Scientific reports · 2020Article
- Comprehensive molecular characterization of circRNA-associated ceRNA network in constrictive pericarditis.Annals of translational medicine · 2020Article
- Identification of Hub Genes in Hepatocellular Carcinoma Related to Progression and Prognosis by Weighted Gene Co-Expression Network Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Co-expression network-based identification of biomarkers correlated with the lymph node metastasis of patients with head and neck squamous cell carcinoma.Bioscience reports · 2020Article
- Silybin Prevents Prostate Cancer by Inhibited the ALDH1A1 Expression in the Retinol Metabolism Pathway.Frontiers in cell and developmental biology · 2020Article
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11 authors.
Funding
Abstract
purposeProstate cancer is one of the leading causes of cancer death for male. In the present study, we applied an integrated bioinformatics approach to provide a novel perspective and identified some hub genes of prostate cancer.
methodMicroarray data of fifty-nine prostate cancer were downloaded from Gene Expression Omnibus. Gene Ontology and pathway analysis were applied for differentially expressed genes between high and low grade prostate cancer. Weighted gene coexpression network analysis was applied to construct gene network and classify genes into different modules. The most related module to high grade prostate cancer was identified and hub genes in the module were revealed. Ingenuity pathway analysis was applied to check the chosen module's relationship to high grade prostate cancer. Hub gene's expression profile was verified with clinical samples and a dataset from The Cancer Genome Atlas project.
result3193 differentially expressed genes were filtered and gene ontology and pathway analysis revealed some cancer- and sex hormone-related results. Weighted gene coexpression network was constructed and genes were classified into six modules. The red module was selected and ingenuity pathway analysis confirmed its relationship with high grade prostate cancer. Hub genes were identified and their expression profile was also confirmed.
conclusionThe present study applied integrate bioinformatics approaches to generate a holistic view of high grade prostate cancer and identified hub genes could serve as prognosis markers and potential treatment targets.
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