Identification of a 5microRNA signature and hub miRNAmRNA interactions associated with pancreatic cancer.
Oncol Rep
; 41(1): 292-300, 2019 Jan.
Article
en En
| MEDLINE
| ID: mdl-30365134
ABSTRACT
miRNAgene axes have been reported to serve an important role in the carcinogenesis of pancreatic cancer (PC). The aim of the present study was to systematically identity the microRNA signature and hub molecules, as well as hub miRNAgene axes, and to explore the potential biomarkers and mechanisms associated with the carcinogenesis of PC. Eleven microRNA profile datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) and ArrayExpress databases, and a metaanalysis was performed to identify the differentially expressed miRNAs (DEMs) between tumor tissue and normal tissue. Subsequently, a diagnostic regression model was constructed to identify PC based on The Cancer Genome Atlas (TCGA) miRNA sequence data by using the least absolute shrinkage and selection operator (LASSO) method. In addition, GSE41368 was downloaded, and a weighted gene coexpression network analysis (WGCNA) was performed to obtain the gene module associated with carcinogenesis by using the TCGAbiolinks and WGCNA packages, respectively. Finally, miRNAgene networks were constructed and visualized using Cytoscape software, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses based on the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A total of 14 DEMs were identified, and a 5microRNAbased score generated by the LASSO regression model provided a high accuracy for identifying PC [area under the curve (AUC)=0.918]. In addition, 44 miRNAmRNA interactions were constructed, and 4 hub genes were screened on the basis of the above bioinformatic tools and databases. Furthermore, 14 biological process (BP) functions and 6 KEGG pathways were identified according to gene set enrichment analysis (GSEA). In summary, the present study applied integrated bioinformatics approaches to generate a holistic view of PC, thereby providing a basis for further clinical application of the 5miRNA signature and the identified hub molecules, as well as the miRNAgene axes, which could serve as diagnostic markers and potential treatment targets.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias Pancreáticas
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Biomarcadores de Tumor
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MicroARNs
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Redes Reguladoras de Genes
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Límite:
Female
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Humans
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Male
Idioma:
En
Revista:
Oncol Rep
Asunto de la revista:
NEOPLASIAS
Año:
2019
Tipo del documento:
Article
País de afiliación:
China