Cargando…

microRNA and gene networks in human pancreatic cancer

To date, scientists have obtained a substantial amount of knowledge with regard to genes and microRNAs (miRNAs) in pancreatic cancer (PC). However, deciphering the regulatory mechanism of these genes and miRNAs remains difficult. In the present study, three regulatory networks consisting of a differ...

Descripción completa

Detalles Bibliográficos
Autores principales: ZHU, MINGHUI, XU, ZHIWEN, WANG, KUNHAO, WANG, NING, LI, YANG
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3796390/
https://www.ncbi.nlm.nih.gov/pubmed/24137477
http://dx.doi.org/10.3892/ol.2013.1521
_version_ 1782287466809524224
author ZHU, MINGHUI
XU, ZHIWEN
WANG, KUNHAO
WANG, NING
LI, YANG
author_facet ZHU, MINGHUI
XU, ZHIWEN
WANG, KUNHAO
WANG, NING
LI, YANG
author_sort ZHU, MINGHUI
collection PubMed
description To date, scientists have obtained a substantial amount of knowledge with regard to genes and microRNAs (miRNAs) in pancreatic cancer (PC). However, deciphering the regulatory mechanism of these genes and miRNAs remains difficult. In the present study, three regulatory networks consisting of a differentially-expressed network, a related network and a global network, were constructed in order to identify the mechanisms and certain key miRNA and gene pathways in PC. The interactions between transcription factors (TFs) and miRNAs, miRNAs and target genes and an miRNA and its host gene were investigated. The present study compared and analyzed the similarities and differences between the three networks in order to distinguish the key pathways. Certain pathways involving the differentially-expressed genes and miRNAs demonstrated specific features. TP53 and hsa-miR-125b were observed to form a self-adaptation association. A further 16 significant differentially-expressed miRNAs were obtained and it was observed that an miRNA and its host gene exhibit specific features in PC, for example, hsa-miR-196a-1 and its host gene, HOXB7, form a self-adaptation association. The differentially-expressed network partially illuminated the mechanism of PC. The present study provides comprehensive data that is associated with PC and may aid future studies in obtaining pertinent data results with regards to PC. In the future, an improved understanding of PC may be obtained through an increased knowledge of the occurrence, mechanism, improvement, metastasis and treatment of the disease.
format Online
Article
Text
id pubmed-3796390
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-37963902013-10-17 microRNA and gene networks in human pancreatic cancer ZHU, MINGHUI XU, ZHIWEN WANG, KUNHAO WANG, NING LI, YANG Oncol Lett Articles To date, scientists have obtained a substantial amount of knowledge with regard to genes and microRNAs (miRNAs) in pancreatic cancer (PC). However, deciphering the regulatory mechanism of these genes and miRNAs remains difficult. In the present study, three regulatory networks consisting of a differentially-expressed network, a related network and a global network, were constructed in order to identify the mechanisms and certain key miRNA and gene pathways in PC. The interactions between transcription factors (TFs) and miRNAs, miRNAs and target genes and an miRNA and its host gene were investigated. The present study compared and analyzed the similarities and differences between the three networks in order to distinguish the key pathways. Certain pathways involving the differentially-expressed genes and miRNAs demonstrated specific features. TP53 and hsa-miR-125b were observed to form a self-adaptation association. A further 16 significant differentially-expressed miRNAs were obtained and it was observed that an miRNA and its host gene exhibit specific features in PC, for example, hsa-miR-196a-1 and its host gene, HOXB7, form a self-adaptation association. The differentially-expressed network partially illuminated the mechanism of PC. The present study provides comprehensive data that is associated with PC and may aid future studies in obtaining pertinent data results with regards to PC. In the future, an improved understanding of PC may be obtained through an increased knowledge of the occurrence, mechanism, improvement, metastasis and treatment of the disease. D.A. Spandidos 2013-10 2013-08-09 /pmc/articles/PMC3796390/ /pubmed/24137477 http://dx.doi.org/10.3892/ol.2013.1521 Text en Copyright © 2013, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
ZHU, MINGHUI
XU, ZHIWEN
WANG, KUNHAO
WANG, NING
LI, YANG
microRNA and gene networks in human pancreatic cancer
title microRNA and gene networks in human pancreatic cancer
title_full microRNA and gene networks in human pancreatic cancer
title_fullStr microRNA and gene networks in human pancreatic cancer
title_full_unstemmed microRNA and gene networks in human pancreatic cancer
title_short microRNA and gene networks in human pancreatic cancer
title_sort microrna and gene networks in human pancreatic cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3796390/
https://www.ncbi.nlm.nih.gov/pubmed/24137477
http://dx.doi.org/10.3892/ol.2013.1521
work_keys_str_mv AT zhuminghui micrornaandgenenetworksinhumanpancreaticcancer
AT xuzhiwen micrornaandgenenetworksinhumanpancreaticcancer
AT wangkunhao micrornaandgenenetworksinhumanpancreaticcancer
AT wangning micrornaandgenenetworksinhumanpancreaticcancer
AT liyang micrornaandgenenetworksinhumanpancreaticcancer