Prostate cancer (PCa) is the most common cancer worldwide, and its incidence rate has continuously increased in recent years; The number of new PCa cases worldwide increased from 1.11 million in 2015 to 1.28 million in 2018 (1-3). It has been estimated that> 1 million men are diagnosed and> 300,000 succumb to the disease annually (4). Although radical prostatectomy is an effective treatment, early detection of PCa is difficult (2). Therefore, early diagnosis is extremely important for the treatment of PCa. Currently, the prostate specific antigen (PSA) is used as a biomarker for the diagnosis of PCa (5). However, this method has numerous flaws. For example, specificity is low when PSA is moderately elevated (6.7). As a result, the identification of more specific biomarkers is essential to detect patients at an early stage of PCa and to provide patients with optimal treatment. Microarrays are an efficient tool for the analysis of differentially expressed genes (SDRs) and could be applied to identify potential biomarkers for cancer diagnosis and prognosis (8,9). Over the past decade, several SDRs in colorectal cancer and pancreatic carcinoma have been identified using microarrays (10,11). However, the results indicated that these biomarkers are not sufficient for the diagnosis and prognosis of PCa, and no reliable biomarker was validated for clinical use (12). Therefore, potential diagnostic and prognostic biomarkers should be further identified using microarrays and bioinformatics. The objective of the present study was to determine the possible diagnostic and prognostic biomarkers of PCa. First, data set GSE103512 was analyzed and SDRs were examined. Second, analyzes of Genetic Ontology (GO), Encyclopedia of Kyoto Genes and Genomes (KEGG) and protein-protein interaction (PPI) of SDRs were performed. Key gene expression was verified by interactive Gene Expression Profile Analysis (GEPIA) and Human Protein Atlas (HPA) analysis. Finally, survival and receptor operating characteristics (ROC) analyzes were performed to assess the diagnostic and prognostic value of these genes.
Research Article: Molecular Biomarkers & Diagnosis
Research Article: Journal of Molecular Biomarkers & Diagnosis
Short Communication: Molecular Biomarkers & Diagnosis
Short Communication: Journal of Molecular Biomarkers & Diagnosis
Research Article: Molecular Biomarkers & Diagnosis
Research Article: Journal of Molecular Biomarkers & Diagnosis
Research Article: Molecular Biomarkers & Diagnosis
Research Article: Journal of Molecular Biomarkers & Diagnosis
Rapid Communication: Molecular Biomarkers & Diagnosis
Rapid Communication: Journal of Molecular Biomarkers & Diagnosis
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Journal of Tissue Science and Engineering
Scientific Tracks Abstracts: Journal of Tissue Science and Engineering
Posters-Accepted Abstracts: Journal of Tissue Science and Engineering
Posters-Accepted Abstracts: Journal of Tissue Science and Engineering
Scientific Tracks Abstracts: Journal of Cytology & Histology
Scientific Tracks Abstracts: Journal of Cytology & Histology
Journal of Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report
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