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

© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. 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 microarra...

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Main Authors: Somsak Likhitrattanapisal, Supeecha Kumkate, Pravech Ajawatanawong, Kanokpan Wongprasert, Rutaiwan Tohtong, Tavan Janvilisri
Other Authors: Mahidol University
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Published: 2020
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/59195
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spelling th-mahidol.591952020-10-05T12:48:42Z Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling Somsak Likhitrattanapisal Supeecha Kumkate Pravech Ajawatanawong Kanokpan Wongprasert Rutaiwan Tohtong Tavan Janvilisri Mahidol University Thailand National Center for Genetic Engineering and Biotechnology Faculty of Medicine, Siriraj Hospital, Mahidol University Medicine © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. 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. 2020-10-05T05:48:42Z 2020-10-05T05:48:42Z 2020-08-07 Article World Journal of Gastroenterology. Vol.26, No.29 (2020), 4356-4371 10.3748/WJG.V26.I29.4356 22192840 10079327 2-s2.0-85089985199 https://repository.li.mahidol.ac.th/handle/123456789/59195 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089985199&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Somsak Likhitrattanapisal
Supeecha Kumkate
Pravech Ajawatanawong
Kanokpan Wongprasert
Rutaiwan Tohtong
Tavan Janvilisri
Dysregulation of microRNA in cholangiocarcinoma identified through a meta-analysis of microRNA profiling
description © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. 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.
author2 Mahidol University
author_facet Mahidol University
Somsak Likhitrattanapisal
Supeecha Kumkate
Pravech Ajawatanawong
Kanokpan Wongprasert
Rutaiwan Tohtong
Tavan Janvilisri
format Article
author Somsak Likhitrattanapisal
Supeecha Kumkate
Pravech Ajawatanawong
Kanokpan Wongprasert
Rutaiwan Tohtong
Tavan Janvilisri
author_sort Somsak Likhitrattanapisal
title 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_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_sort dysregulation of microrna in cholangiocarcinoma identified through a meta-analysis of microrna profiling
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/59195
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