Literature DB >> 22994753

MicroRNA expression profile analysis reveals diagnostic biomarker for human prostate cancer.

Dong-Fu Liu1, Ji-Tao Wu, Jian-Ming Wang, Qing-Zuo Liu, Zhen-Li Gao, Yun-Xiang Liu.   

Abstract

Prostate cancer is a highly prevalent disease in older men of the western world. MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression via posttranscriptional inhibition of protein synthesis. To identify the diagnostic potential of miRNAs in prostate cancer, we downloaded the miRNA expression profile of prostate cancer from the GEO database and analysed the differentially expressed miRNAs (DE-miRNAs) in prostate cancerous tissue compared to non-cancerous tissue. Then, the targets of these DE-miRNAs were extracted from the database and mapped to the STRING and KEGG databases for network construction and pathway enrichment analysis. We identified a total of 16 miRNAs that showed a significant differential expression in cancer samples. A total of 9 target genes corresponding to 3 DE-miRNAs were obtained. After network and pathway enrichment analysis, we finally demonstrated that miR-20 appears to play an important role in the regulation of prostate cancer onset. MiR-20 as single biomarker or in combination could be useful in the diagnosis of prostate cancer. We anticipate our study could provide the groundwork for further experiments.

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Year:  2012        PMID: 22994753     DOI: 10.7314/apjcp.2012.13.7.3313

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  12 in total

1.  Mangiferin inhibition of proliferation and induction of apoptosis in human prostate cancer cells is correlated with downregulation of B-cell lymphoma-2 and upregulation of microRNA-182.

Authors:  Minglin Li; Huili Ma; Lixin Yang; Peng Li
Journal:  Oncol Lett       Date:  2015-11-16       Impact factor: 2.967

2.  Urinary microRNA-1913 to microRNA-3659 expression ratio as a non-invasive diagnostic biomarker for prostate cancer.

Authors:  Young Joon Byun; Xuan Mei Piao; Pildu Jeong; Ho Won Kang; Sung Phil Seo; Sung Kwon Moon; Jong Young Lee; Yung Hyun Choi; Hee Youn Lee; Won Tae Kim; Sang Cheol Lee; Eun Jong Cha; Seok Joong Yun; Wun Jae Kim
Journal:  Investig Clin Urol       Date:  2021-03-16

3.  Identifying a polymorphic 'switch' that influences miRNAs' regulation of a myasthenia gravis risk pathway.

Authors:  Lili Yang; Jianjian Wang; Xuesong Sun; Yuze Cao; Shangwei Ning; Huixue Zhang; Lixia Chen; Ronghong Li; Qinghua Tian; Lihua Wang; Weizhi Wang; Xia Li
Journal:  PLoS One       Date:  2014-08-12       Impact factor: 3.240

Review 4.  MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer.

Authors:  Gloria Bertoli; Claudia Cava; Isabella Castiglioni
Journal:  Int J Mol Sci       Date:  2016-03-22       Impact factor: 5.923

5.  Novel MicroRNA Involved in Host Response to Avian Pathogenic Escherichia coli Identified by Deep Sequencing and Integration Analysis.

Authors:  Xinzheng Jia; Qinghua Nie; Xiquan Zhang; Lisa K Nolan; Susan J Lamont
Journal:  Infect Immun       Date:  2016-12-29       Impact factor: 3.441

6.  Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.

Authors:  Yun Ye; Su-Liang Li; Sheng-Yu Wang
Journal:  PLoS One       Date:  2018-08-23       Impact factor: 3.240

7.  Overexpressed microRNA-182 promotes proliferation and invasion in prostate cancer PC-3 cells by down-regulating N-myc downstream regulated gene 1 (NDRG1).

Authors:  Ranlu Liu; Jing Li; Zhigang Teng; Zhihong Zhang; Yong Xu
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

Review 8.  Molecular markers for prostate cancer in formalin-fixed paraffin-embedded tissues.

Authors:  Tamara Sequeiros; Marta García; Melania Montes; Mireia Oliván; Marina Rigau; Eva Colás; Inés de Torres; Juan Morote; Jaume Reventós; Andreas Doll
Journal:  Biomed Res Int       Date:  2013-11-25       Impact factor: 3.411

9.  SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood.

Authors:  Yu Qu; Huaxiang Zhang; Cheng Liang; Pingjian Ding; Jiawei Luo
Journal:  J Cell Mol Med       Date:  2018-07-20       Impact factor: 5.310

10.  WBNPMD: weighted bipartite network projection for microRNA-disease association prediction.

Authors:  Guobo Xie; Zhiliang Fan; Yuping Sun; Cuiming Wu; Lei Ma
Journal:  J Transl Med       Date:  2019-09-23       Impact factor: 5.531

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