How hsa-miR-495 performed in the tumorigenesis of pancreatic adenocarcinoma by bioinformatics analysis.

Kyoto Encyclopedia of Genes and Genomes pathways The Cancer Genome Atlas analysis bioinformatics analysis hsa-miR-495 pancreatic adenocarcinoma risk microRNAs and messenger RNAs

Journal

Journal of cellular biochemistry
ISSN: 1097-4644
Titre abrégé: J Cell Biochem
Pays: United States
ID NLM: 8205768

Informations de publication

Date de publication:
May 2019
Historique:
received: 11 09 2018
accepted: 22 10 2018
pubmed: 30 11 2018
medline: 30 11 2018
entrez: 29 11 2018
Statut: ppublish

Résumé

Pancreatic adenocarcinoma (PAAD) is one of the most fatal cancers in the world for early metastasis, extensive invasion, and poor prognosis with a 5-year survival rate less than 5%. However, the underlying mechanisms are poorly understood. Therefore, it is urgent to explore molecular markers for early diagnosis or therapy target to improve the outcome of PAAD. We retrieved transcriptome data as well as clinical information from patients with PAAD in The Cancer Genome Altas (TCGA) database. Survival time associated microRNAs (miRNAs) and messenger RNAs (mRNAs) were initially identified, followed by enrichment analysis (Gene Ontology [GO] and pathway). The relationship between survival time associated miRNAs-mRNAs was also investigated to discover putative transcriptional control mechanisms of PAAD. Finally, by consulting the literature and retrieving the database, we found that hsa-miR-495 might have played an important role in PAAD. In total, 146 miRNAs from 378 miRNAs and 580 mRNA from 17 100 mRNA, including 328 risk mRNA and 252 protective mRNA, were found to be associated with the survival time of PAAD. Eight hundred eighty-eight mRNA-miRNA pairs were related to the survival time of PAAD, involving in 755 mRNAs and 35 miRNAs. We chose 13 miRNAs predicted by target gene in the miRanda database for further research. Among these 13 miRNAs, hsa-miR-495 was identified as a good biomarker. Through GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, the significantly enriched pathways involved in focal adhesion, Staphylococcus aureus infection, and Intestinal immune network for immunoglobulin A production. And four target genes and 87 pathways of the hsa-miR-495 were enriched in PAAD. Interestingly, we found hsa-miR-495 with a low expression having a poor overall survival and significantly different recurrence rate within 5 years. Hsa-miR-495 and its target genes may serve as a prognostic and predictive marker in PAAD. Further research on the function of the hsa-miR-495 and its target genes in the KEGG pathway may provide references for treatment of PAAD.

Identifiants

pubmed: 30485500
doi: 10.1002/jcb.28055
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7802-7813

Subventions

Organisme : Chinese Academy of Medical Sciences (CAMS) Initiative for Innovative Medicine
ID : (CAMS-I2M) 2017-I2M-1-001
Organisme : key technology and comprehensive demonstration for external quality assessment in Clinical Molecular Pathology
ID : 2016CNAS16

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

Yuemei Yang (Y)

Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of R&D Technology Center, Beijing Zhicheng Biomedical Technology Co Ltd, Beijing, China.

Yanfeng Wang (Y)

Department of Pathology, Heilongjiang Province Land Reclamation Headquarter General Hospital, Harbin, China.

Shizhong Liu (S)

Department of Economics and Management, Beijing Electronic Technology Vocational College, Beijing, China.

Xiaoling Zhao (X)

Department of R&D Technology Center, Beijing Zhicheng Biomedical Technology Co Ltd, Beijing, China.

Rujing Jia (R)

Accreditation Department Five (Proficiency Testing Department), China National Accreditation Service for Conformity Assessment (CNAS), Beijing, China.

Yu Xiao (Y)

Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Ming Zhang (M)

Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Department of Pathology, Haidian Meternal & Children Health Hospital, Beijing, China.

Xiaoou Li (X)

Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Department of Pathology, Daxing Hospital Affiliated to Capital Medical University, Beijing, China.

Ji Li (J)

Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Wenze Wang (W)

Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Classifications MeSH