Ontology highlight
ABSTRACT: Objective
Prostate cancer (PCa) is one of the most prevalent types of cancer among men worldwide. The incidence of PCa is increasing in China. Therefore, there is an urgent need to identify novel diagnostic and prognostic markers for PCa to improve the treatment of the disease.Methods
The Cancer Genome Atlas (TCGA) and GEO database were used to analyze the expression of miR-192, and the relationship between miR-192 and the clinical features of patients with PCa. Cell cycle and cell proliferation assay were used to detect the functional roles of miR-192 in PCa. Bioinformatic analysis for miR-192-5p was performed using gene ontology and KEGG analysis.Results
By analyzing the dataset of TCGA, we found that miR-192 was overexpressed in PCa samples compared to normal tis
SUBMITTER: Chen ZJ
PROVIDER: S-EPMC6546031 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature