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Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing

BACKGROUND: MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknow...

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Autores principales: Wang, Fan, Lu, Juan, Peng, Xiaohong, Wang, Jie, Liu, Xiong, Chen, Xiaomei, Jiang, Yiqi, Li, Xiangping, Zhang, Bao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722718/
https://www.ncbi.nlm.nih.gov/pubmed/26795575
http://dx.doi.org/10.1186/s13046-016-0292-4
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author Wang, Fan
Lu, Juan
Peng, Xiaohong
Wang, Jie
Liu, Xiong
Chen, Xiaomei
Jiang, Yiqi
Li, Xiangping
Zhang, Bao
author_facet Wang, Fan
Lu, Juan
Peng, Xiaohong
Wang, Jie
Liu, Xiong
Chen, Xiaomei
Jiang, Yiqi
Li, Xiangping
Zhang, Bao
author_sort Wang, Fan
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknown. Laser capture microdissection (LCM) and deep sequencing are powerful tools that can help us to detect the integrated view of miRNA-target network. METHODS: Illumina Hiseq2000 deep sequencing was used to screen differentially expressed miRNAs in laser-microdessected biopsies between 12 NPC and 8 chronic nasopharyngitis patients. The result was validated by real-time PCR on 201 NPC and 25 chronic nasopharyngitis patients. The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software. RESULTS: Eight differentially expressed miRNAs were identified between NPC and chronic nasopharyngitis patients by deep sequencing. Further qRT-PCR assays confirmed 3 down-regulated miRNAs (miR-34c-5p, miR-375 and miR-449c-5p), 4 up-regulated miRNAs (miR-205-5p, miR-92a-3p, miR-193b-3p and miR-27a-5p). Additionally, the low level of miR-34c-5p (miR-34c) was significantly correlated with advanced TNM stage. GO and KEGG enrichment analyses showed that 914 target genes were involved in cell cycle, cytokine secretion and tumor immunology, and so on. IPA revealed that cancer was the top disease associated with those dysregulated miRNAs, and the genes regulated by miR-34c were in the center of miRNA-mRNA regulatory network, including TP53, CCND1, CDK6, MET and BCL2, and the PI3K/AKT/ mTOR signaling was regarded as a significant function pathway in this network. CONCLUSION: Our study presents the current knowledge of miRNA regulatory network in NPC with combination of bioinformatics analysis and literature research. The hypothesis of miR-34c regulatory pathway may be beneficial in guiding further studies on the molecular mechanism of NPC tumorigenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13046-016-0292-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-47227182016-01-23 Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing Wang, Fan Lu, Juan Peng, Xiaohong Wang, Jie Liu, Xiong Chen, Xiaomei Jiang, Yiqi Li, Xiangping Zhang, Bao J Exp Clin Cancer Res Research BACKGROUND: MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknown. Laser capture microdissection (LCM) and deep sequencing are powerful tools that can help us to detect the integrated view of miRNA-target network. METHODS: Illumina Hiseq2000 deep sequencing was used to screen differentially expressed miRNAs in laser-microdessected biopsies between 12 NPC and 8 chronic nasopharyngitis patients. The result was validated by real-time PCR on 201 NPC and 25 chronic nasopharyngitis patients. The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software. RESULTS: Eight differentially expressed miRNAs were identified between NPC and chronic nasopharyngitis patients by deep sequencing. Further qRT-PCR assays confirmed 3 down-regulated miRNAs (miR-34c-5p, miR-375 and miR-449c-5p), 4 up-regulated miRNAs (miR-205-5p, miR-92a-3p, miR-193b-3p and miR-27a-5p). Additionally, the low level of miR-34c-5p (miR-34c) was significantly correlated with advanced TNM stage. GO and KEGG enrichment analyses showed that 914 target genes were involved in cell cycle, cytokine secretion and tumor immunology, and so on. IPA revealed that cancer was the top disease associated with those dysregulated miRNAs, and the genes regulated by miR-34c were in the center of miRNA-mRNA regulatory network, including TP53, CCND1, CDK6, MET and BCL2, and the PI3K/AKT/ mTOR signaling was regarded as a significant function pathway in this network. CONCLUSION: Our study presents the current knowledge of miRNA regulatory network in NPC with combination of bioinformatics analysis and literature research. The hypothesis of miR-34c regulatory pathway may be beneficial in guiding further studies on the molecular mechanism of NPC tumorigenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13046-016-0292-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-22 /pmc/articles/PMC4722718/ /pubmed/26795575 http://dx.doi.org/10.1186/s13046-016-0292-4 Text en © Wang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Fan
Lu, Juan
Peng, Xiaohong
Wang, Jie
Liu, Xiong
Chen, Xiaomei
Jiang, Yiqi
Li, Xiangping
Zhang, Bao
Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title_full Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title_fullStr Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title_full_unstemmed Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title_short Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
title_sort integrated analysis of microrna regulatory network in nasopharyngeal carcinoma with deep sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722718/
https://www.ncbi.nlm.nih.gov/pubmed/26795575
http://dx.doi.org/10.1186/s13046-016-0292-4
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