Cargando…

Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics

Prostate cancer (PCa) remains a principal issue to be addressed in male cancer-associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)-1 in PCa. A meta-analysis was conducted to evaluate the diagnosis of miR-1 in PCa...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Zu-Cheng, Huang, Jia-Cheng, Zhang, Li-Jie, Gan, Bin-Liang, Wen, Dong-Yue, Chen, Gang, Li, Sheng-Hua, Yan, Hai-Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236292/
https://www.ncbi.nlm.nih.gov/pubmed/30365107
http://dx.doi.org/10.3892/mmr.2018.9598
_version_ 1783371006291738624
author Xie, Zu-Cheng
Huang, Jia-Cheng
Zhang, Li-Jie
Gan, Bin-Liang
Wen, Dong-Yue
Chen, Gang
Li, Sheng-Hua
Yan, Hai-Biao
author_facet Xie, Zu-Cheng
Huang, Jia-Cheng
Zhang, Li-Jie
Gan, Bin-Liang
Wen, Dong-Yue
Chen, Gang
Li, Sheng-Hua
Yan, Hai-Biao
author_sort Xie, Zu-Cheng
collection PubMed
description Prostate cancer (PCa) remains a principal issue to be addressed in male cancer-associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)-1 in PCa. A meta-analysis was conducted to evaluate the diagnosis of miR-1 in PCa via Gene Expression Omnibus and ArrayExpress datasets, The Cancer Genome Atlas miR-1 expression data and published literature. It was identified that expression of miR-1 was significantly downregulated in PCa. Decreased miR-1 expression possessed moderate diagnostic value, with area under the curve, sensitivity, specificity and odds ratio values at 0.73, 0.77, 0.57 and 4.60, respectively. Using bioinformatics methods, it was revealed that a number of pathways, including the ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’, were important in PCa. A total of seven hub genes, including phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccin ocarboxamide synthase (PAICS), cadherin 1 (CDH1), SRC proto-oncogene, non-receptor tyrosine kinase, twist family bHLH transcription factor 1 (TWIST1), ZW10 interacting kinetochore protein (ZWINT), PCNA clamp associated factor (KIAA0101) and androgen receptor, among which, five (PAICS, CDH1, TWIST1, ZWINT and KIAA0101) were significantly upregulated and negatively correlated with miR-1, were identified as key miR-1 target genes in PCa. Additionally, it was investigated whether miR-1 and its hub genes were associated with clinical features, including age, tumor status, residual tumor, lymph node metastasis, pathological T stage and prostate specific antigen level. Collectively the results suggest that miR-1 may be involved in the progression of PCa, and consequently be a promising diagnostic marker. The ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’ may be crucial interactive pathways in PCa. Furthermore, PAICS, CDH1, TWIST1, ZWINT and KIAA0101 may serve as crucial miR-1 target genes in PCa.
format Online
Article
Text
id pubmed-6236292
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-62362922018-11-19 Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics Xie, Zu-Cheng Huang, Jia-Cheng Zhang, Li-Jie Gan, Bin-Liang Wen, Dong-Yue Chen, Gang Li, Sheng-Hua Yan, Hai-Biao Mol Med Rep Articles Prostate cancer (PCa) remains a principal issue to be addressed in male cancer-associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)-1 in PCa. A meta-analysis was conducted to evaluate the diagnosis of miR-1 in PCa via Gene Expression Omnibus and ArrayExpress datasets, The Cancer Genome Atlas miR-1 expression data and published literature. It was identified that expression of miR-1 was significantly downregulated in PCa. Decreased miR-1 expression possessed moderate diagnostic value, with area under the curve, sensitivity, specificity and odds ratio values at 0.73, 0.77, 0.57 and 4.60, respectively. Using bioinformatics methods, it was revealed that a number of pathways, including the ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’, were important in PCa. A total of seven hub genes, including phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccin ocarboxamide synthase (PAICS), cadherin 1 (CDH1), SRC proto-oncogene, non-receptor tyrosine kinase, twist family bHLH transcription factor 1 (TWIST1), ZW10 interacting kinetochore protein (ZWINT), PCNA clamp associated factor (KIAA0101) and androgen receptor, among which, five (PAICS, CDH1, TWIST1, ZWINT and KIAA0101) were significantly upregulated and negatively correlated with miR-1, were identified as key miR-1 target genes in PCa. Additionally, it was investigated whether miR-1 and its hub genes were associated with clinical features, including age, tumor status, residual tumor, lymph node metastasis, pathological T stage and prostate specific antigen level. Collectively the results suggest that miR-1 may be involved in the progression of PCa, and consequently be a promising diagnostic marker. The ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’ may be crucial interactive pathways in PCa. Furthermore, PAICS, CDH1, TWIST1, ZWINT and KIAA0101 may serve as crucial miR-1 target genes in PCa. D.A. Spandidos 2018-12 2018-10-25 /pmc/articles/PMC6236292/ /pubmed/30365107 http://dx.doi.org/10.3892/mmr.2018.9598 Text en Copyright: © Xie et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Xie, Zu-Cheng
Huang, Jia-Cheng
Zhang, Li-Jie
Gan, Bin-Liang
Wen, Dong-Yue
Chen, Gang
Li, Sheng-Hua
Yan, Hai-Biao
Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title_full Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title_fullStr Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title_full_unstemmed Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title_short Exploration of the diagnostic value and molecular mechanism of miR-1 in prostate cancer: A study based on meta-analyses and bioinformatics
title_sort exploration of the diagnostic value and molecular mechanism of mir-1 in prostate cancer: a study based on meta-analyses and bioinformatics
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236292/
https://www.ncbi.nlm.nih.gov/pubmed/30365107
http://dx.doi.org/10.3892/mmr.2018.9598
work_keys_str_mv AT xiezucheng explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT huangjiacheng explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT zhanglijie explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT ganbinliang explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT wendongyue explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT chengang explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT lishenghua explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics
AT yanhaibiao explorationofthediagnosticvalueandmolecularmechanismofmir1inprostatecancerastudybasedonmetaanalysesandbioinformatics