ArticleThe Journal of international medical research2021
Identification of crucial genes and pathways associated with prostate cancer in multiple databases.
Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Unveiling RACK1: a key regulator of the PI3K/AKT pathway in prostate cancer development.Oncogene · 2025Article
- Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened Glycolysis.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Low expression of RACK1 is associated with metastasis and worse prognosis in cholangiocarcinoma.Heliyon · 2024Article
- Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.BMC musculoskeletal disorders · 2024Article
- Deep Learning Techniques to Characterize theBiomedicines · 2024Article
- Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms.Proteomes · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
objectiveProstate cancer (PCa) is a malignant neoplasm of the urinary system. This study aimed to use bioinformatics to screen for core genes and biological pathways related to PCa.
methodsThe GSE5957 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were constructed by R language. Furthermore, protein-protein interaction (PPI) networks were generated to predict core genes. The expression levels of core genes were examined in the Tumor Immune Estimation Resource (TIMER) and Oncomine databases. The cBioPortal tool was used to study the co-expression and prognostic factors of the core genes. Finally, the core genes of signaling pathways were determined using gene set enrichment analysis (GSEA).
resultsOverall, 874 DEGs were identified. Hierarchical clustering analysis revealed that these 24 core genes have significant association with carcinogenesis and development
conclusionsThis study identified the core genes and pathways in PCa and provides candidate targets for diagnosis, prognosis, and treatment.
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