microRNA and gene networks in human pancreatic cancer

Zhu,Minghui; Xu,Zhiwen; Wang,Kunhao; Wang,Ning; Li,Yang

doi:10.3892/ol.2013.1521

microRNA and gene networks in human pancreatic cancer

Authors:
- Minghui Zhu
- Zhiwen Xu
- Kunhao Wang
- Ning Wang
- Yang Li
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Affiliations: College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, P.R. China
Published online on: August 9, 2013 https://doi.org/10.3892/ol.2013.1521
Pages: 1133-1139

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Abstract

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.

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