Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis
Joint Authors
Long, Fei
Jiang, Shu-Juan
Shao, Yang
Liang, Bin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Lung cancer is the leading cause of cancer death and its incidence is ranked high in men and women worldwide.
Non-small-cell lung cancer (NSCLC) adenocarcinoma is one of the most frequent histological subtypes of lung cancer.
The aberration profile and the molecular mechanism driving its progression are the key for precision therapy of lung cancer, while the screening of biomarkers is essential to the precision early diagnosis and treatment of the cancer.
In this work, we applied a bioinformatics method to analyze the dysregulated interaction network of microRNA-mRNA in NSCLC, based on both the gene expression data and the microRNA-gene regulation network.
Considering the properties of the substructure and their biological functions, we identified the putative diagnostic biomarker microRNAs, some of which have been reported on the PubMed citations while the rest, that is, miR-204-5p, miR-567, miR-454-3p, miR-338-3p, and miR-139-5p, were predicted as the putative novel microRNA biomarker for the diagnosis of NSCLC adenocarcinoma.
They were further validated by functional enrichment analysis of their target genes.
These findings deserve further experimental validations for future clinical application.
American Psychological Association (APA)
Shao, Yang& Liang, Bin& Long, Fei& Jiang, Shu-Juan. 2017. Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134904
Modern Language Association (MLA)
Shao, Yang…[et al.]. Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1134904
American Medical Association (AMA)
Shao, Yang& Liang, Bin& Long, Fei& Jiang, Shu-Juan. Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134904