Cargando…

MicroRNA-related transcription factor regulatory networks in human colorectal cancer

OBJECTIVE: Colorectal cancer (CRC) is an extremely common gastrointestinal malignancy. The present study aimed to identify microRNAs (miRNAs) and transcription factors (TFs) associated with tumor development. METHODS: Three miRNA profile datasets were integrated and analyzed to elucidate the potenti...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Shuhong, Huo, Sibo, Du, Zhenwu, Yang, Qiwei, Ren, Ming, Liu, Shui, Liu, Tongjun, Zhang, Guizhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485807/
https://www.ncbi.nlm.nih.gov/pubmed/30985693
http://dx.doi.org/10.1097/MD.0000000000015158
_version_ 1783414304119193600
author Hao, Shuhong
Huo, Sibo
Du, Zhenwu
Yang, Qiwei
Ren, Ming
Liu, Shui
Liu, Tongjun
Zhang, Guizhen
author_facet Hao, Shuhong
Huo, Sibo
Du, Zhenwu
Yang, Qiwei
Ren, Ming
Liu, Shui
Liu, Tongjun
Zhang, Guizhen
author_sort Hao, Shuhong
collection PubMed
description OBJECTIVE: Colorectal cancer (CRC) is an extremely common gastrointestinal malignancy. The present study aimed to identify microRNAs (miRNAs) and transcription factors (TFs) associated with tumor development. METHODS: Three miRNA profile datasets were integrated and analyzed to elucidate the potential key candidate miRNAs in CRC. The starBase database was used to identify the potential targets of common differentially expressed miRNAs (DEMs). Transcriptional Regulatory Element Database and Transcriptional Regulatory Relationships Unraveled by Sentence-based Text databases were used to identify cancer-related TFs and the TF-regulated target genes. Functional and pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integration Discovery (DAVID) database, and the miRNA–TF–gene networks were constructed by Cytoscape. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect the expression of genes and miRNAs. RESULTS: In total, 14 DEMs were found in CRC. By bioinformatics analysis, 5 DEMs (miR-145, miR-497, miR-30a, miR-31, and miR-20a) and 8 TFs (ELK4 (ETS-family transcription factor), myeloblastosis proto-oncogene like (MYBL)1, MYBL2, CEBPA, PPARA, PPARD, PPARG, and endothelial PAS domain protein (EPAS1)) appeared to be associated with CRC and were therefore used to construct miRNA–TF–gene networks. From the networks, we found that miR-20a might play the most important role as an miRNA in the networks. By qRT-PCR, we demonstrated that miR-20a was significantly upregulated in CRC tissues. We also performed qRT-PCR to identify the expression of miR-20a-related TFs (PPARA, PPARD, PPARG, EPAS1). Three of them, PPARA, PPARG, and EPAS1, were downregulated in CRC tissues, with statistically significant differences, while the downregulation of PPARD in CRC tissues was not significantly different. Pathway enrichment analyses indicated that the phosphoinositide 3-kinase (PI3K)-Akt signaling pathway was the most significantly enriched pathway. Two main elements of the PI3K-Akt signaling pathway, phosphatase and tensin homolog deleted on chromosome 10 and B-cell lymphoma 2-associated agonist of cell death, were demonstrated to be downregulated in CRC. CONCLUSION: The present study identified hub miRNAs and miRNA-related TF regulatory networks in CRC, which might be potential targets for the diagnosis and treatment of CRC.
format Online
Article
Text
id pubmed-6485807
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-64858072019-05-29 MicroRNA-related transcription factor regulatory networks in human colorectal cancer Hao, Shuhong Huo, Sibo Du, Zhenwu Yang, Qiwei Ren, Ming Liu, Shui Liu, Tongjun Zhang, Guizhen Medicine (Baltimore) Research Article OBJECTIVE: Colorectal cancer (CRC) is an extremely common gastrointestinal malignancy. The present study aimed to identify microRNAs (miRNAs) and transcription factors (TFs) associated with tumor development. METHODS: Three miRNA profile datasets were integrated and analyzed to elucidate the potential key candidate miRNAs in CRC. The starBase database was used to identify the potential targets of common differentially expressed miRNAs (DEMs). Transcriptional Regulatory Element Database and Transcriptional Regulatory Relationships Unraveled by Sentence-based Text databases were used to identify cancer-related TFs and the TF-regulated target genes. Functional and pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integration Discovery (DAVID) database, and the miRNA–TF–gene networks were constructed by Cytoscape. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect the expression of genes and miRNAs. RESULTS: In total, 14 DEMs were found in CRC. By bioinformatics analysis, 5 DEMs (miR-145, miR-497, miR-30a, miR-31, and miR-20a) and 8 TFs (ELK4 (ETS-family transcription factor), myeloblastosis proto-oncogene like (MYBL)1, MYBL2, CEBPA, PPARA, PPARD, PPARG, and endothelial PAS domain protein (EPAS1)) appeared to be associated with CRC and were therefore used to construct miRNA–TF–gene networks. From the networks, we found that miR-20a might play the most important role as an miRNA in the networks. By qRT-PCR, we demonstrated that miR-20a was significantly upregulated in CRC tissues. We also performed qRT-PCR to identify the expression of miR-20a-related TFs (PPARA, PPARD, PPARG, EPAS1). Three of them, PPARA, PPARG, and EPAS1, were downregulated in CRC tissues, with statistically significant differences, while the downregulation of PPARD in CRC tissues was not significantly different. Pathway enrichment analyses indicated that the phosphoinositide 3-kinase (PI3K)-Akt signaling pathway was the most significantly enriched pathway. Two main elements of the PI3K-Akt signaling pathway, phosphatase and tensin homolog deleted on chromosome 10 and B-cell lymphoma 2-associated agonist of cell death, were demonstrated to be downregulated in CRC. CONCLUSION: The present study identified hub miRNAs and miRNA-related TF regulatory networks in CRC, which might be potential targets for the diagnosis and treatment of CRC. Wolters Kluwer Health 2019-04-12 /pmc/articles/PMC6485807/ /pubmed/30985693 http://dx.doi.org/10.1097/MD.0000000000015158 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Hao, Shuhong
Huo, Sibo
Du, Zhenwu
Yang, Qiwei
Ren, Ming
Liu, Shui
Liu, Tongjun
Zhang, Guizhen
MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title_full MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title_fullStr MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title_full_unstemmed MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title_short MicroRNA-related transcription factor regulatory networks in human colorectal cancer
title_sort microrna-related transcription factor regulatory networks in human colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485807/
https://www.ncbi.nlm.nih.gov/pubmed/30985693
http://dx.doi.org/10.1097/MD.0000000000015158
work_keys_str_mv AT haoshuhong micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT huosibo micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT duzhenwu micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT yangqiwei micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT renming micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT liushui micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT liutongjun micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer
AT zhangguizhen micrornarelatedtranscriptionfactorregulatorynetworksinhumancolorectalcancer