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Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling

BACKGROUND: In the past decades, the potential of microRNA (miRNA) in cancer diagnostics and prognostics has gained a lot of interests. In this study, a meta-analysis was conducted upon the pooled miRNA microarray data of cholangiocarcinoma (CCA). AIM: To identify differentially expressed (DE) miRNA...

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Autores principales: Likhitrattanapisal, Somsak, Kumkate, Supeecha, Ajawatanawong, Pravech, Wongprasert, Kanokpan, Tohtong, Rutaiwan, Janvilisri, Tavan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422534/
https://www.ncbi.nlm.nih.gov/pubmed/32848339
http://dx.doi.org/10.3748/wjg.v26.i29.4356
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author Likhitrattanapisal, Somsak
Kumkate, Supeecha
Ajawatanawong, Pravech
Wongprasert, Kanokpan
Tohtong, Rutaiwan
Janvilisri, Tavan
author_facet Likhitrattanapisal, Somsak
Kumkate, Supeecha
Ajawatanawong, Pravech
Wongprasert, Kanokpan
Tohtong, Rutaiwan
Janvilisri, Tavan
author_sort Likhitrattanapisal, Somsak
collection PubMed
description BACKGROUND: In the past decades, the potential of microRNA (miRNA) in cancer diagnostics and prognostics has gained a lot of interests. In this study, a meta-analysis was conducted upon the pooled miRNA microarray data of cholangiocarcinoma (CCA). AIM: To identify differentially expressed (DE) miRNAs and perform functional analyses in order to gain insights to understanding miRNA-target interactions involved in tumorigenesis pathways of CCA. METHODS: Raw data from 8 CCA miRNA microarray datasets, consisting of 443 samples in total, were integrated and statistically analyzed to identify DE miRNAs via comparison of levels of miRNA expression between CCA and normal bile duct samples using t-tests (P < 0.001). The 10-fold cross validation was performed in order to increase the robustness of the t-test results. RESULTS: Our data showed 70 up-regulated and 48 down-regulated miRNAs in CCA. Gene Ontology and pathway enrichment analyses revealed that mRNA targets of DE miRNAs were significantly involved in several biological processes. The most prominent dysregulated pathways included phosphatidylinositol-3 kinases/Akt, mitogen-activated protein kinase and Ras signaling pathways. CONCLUSION: DE miRNAs found in our meta-analysis revealed dysregulation in major cancer pathways involved in the development of CCA. These results indicated the necessity of understanding the miRNA-target interactions and the significance of dysregulated miRNAs in terms of diagnostics and prognostics of cancers.
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spelling pubmed-74225342020-08-25 Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling Likhitrattanapisal, Somsak Kumkate, Supeecha Ajawatanawong, Pravech Wongprasert, Kanokpan Tohtong, Rutaiwan Janvilisri, Tavan World J Gastroenterol Meta-Analysis BACKGROUND: In the past decades, the potential of microRNA (miRNA) in cancer diagnostics and prognostics has gained a lot of interests. In this study, a meta-analysis was conducted upon the pooled miRNA microarray data of cholangiocarcinoma (CCA). AIM: To identify differentially expressed (DE) miRNAs and perform functional analyses in order to gain insights to understanding miRNA-target interactions involved in tumorigenesis pathways of CCA. METHODS: Raw data from 8 CCA miRNA microarray datasets, consisting of 443 samples in total, were integrated and statistically analyzed to identify DE miRNAs via comparison of levels of miRNA expression between CCA and normal bile duct samples using t-tests (P < 0.001). The 10-fold cross validation was performed in order to increase the robustness of the t-test results. RESULTS: Our data showed 70 up-regulated and 48 down-regulated miRNAs in CCA. Gene Ontology and pathway enrichment analyses revealed that mRNA targets of DE miRNAs were significantly involved in several biological processes. The most prominent dysregulated pathways included phosphatidylinositol-3 kinases/Akt, mitogen-activated protein kinase and Ras signaling pathways. CONCLUSION: DE miRNAs found in our meta-analysis revealed dysregulation in major cancer pathways involved in the development of CCA. These results indicated the necessity of understanding the miRNA-target interactions and the significance of dysregulated miRNAs in terms of diagnostics and prognostics of cancers. Baishideng Publishing Group Inc 2020-08-07 2020-08-07 /pmc/articles/PMC7422534/ /pubmed/32848339 http://dx.doi.org/10.3748/wjg.v26.i29.4356 Text en ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Meta-Analysis
Likhitrattanapisal, Somsak
Kumkate, Supeecha
Ajawatanawong, Pravech
Wongprasert, Kanokpan
Tohtong, Rutaiwan
Janvilisri, Tavan
Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title_full Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title_fullStr Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title_full_unstemmed Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title_short Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
title_sort dysregulation of microrna in cholangiocarcinoma identified through a meta-analysis of microrna profiling
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422534/
https://www.ncbi.nlm.nih.gov/pubmed/32848339
http://dx.doi.org/10.3748/wjg.v26.i29.4356
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