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MiR-192 Is Overexpressed and Promotes Cell Proliferation in Prostate Cancer.


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 tissues and was upregulated in high-grade PCa compared to low-grade PCa. We also observed that higher miR-192 expression was associated with a shorter biochemical recurrence-free survival time. Our results also demonstrated that miR-192 promoted PCa cell proliferation and cell cycle progression. CONCLUSION:These results suggest that miR-192 may be considered for use as a potential diagnostic and therapeutic target of PCa.

SUBMITTER: Chen ZJ 

PROVIDER: S-EPMC6546031 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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miR-192 Is Overexpressed and Promotes Cell Proliferation in Prostate Cancer.

Chen Zhong-Jun ZJ   Yan You-Ji YJ   Shen Hao H   Zhou Jia-Jie JJ   Yang Guang-Hua GH   Liao Yi-Xiang YX   Zeng Jin-Min JM   Yang Tao T  

Medical principles and practice : international journal of the Kuwait University, Health Science Centre 20181213 2


<h4>Objective</h4>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.<h4>Methods</h4>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 ce  ...[more]

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