NDLI: Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis

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Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis

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Cellular Oncology : Volume 40, Issue 1, February 2017

Cellular Oncology : Volume 39

Cellular Oncology : Volume 38

Cellular Oncology : Volume 37

Cellular Oncology : Volume 36

Cellular Oncology : Volume 35

Cellular Oncology : Volume 34

Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis

Content Provider	Springer Nature Link
Author	Giulietti, M. Occhipinti, G. Principato, G. Piva, F.
Copyright Year	2017
Abstract	Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a dismal prognosis which is, among others, due to a lack of suitable biomarkers and therapeutic targets. Previously, basic gene expression analysis methods have been used for their identification, but recently new algorithms have been developed allowing more comprehensive data analyses. Among them, weighted gene co-expression network analysis (WGCNA) has already been applied to several cancer types with promising results.We applied WGCNA to miRNA expression data from PDAC patients. Specifically, we processed microarray-based expression data of 2555 miRNAs in serum from 100 PDAC patients and 150 healthy subjects. We identified network modules of co-expressed miRNAs in the healthy subject dataset and verified their preservation in the PDAC dataset. In the non-preserved modules, we selected key miRNAs and carried out functional enrichment analyses of their experimentally known target genes. Finally, we tested their prognostic significance using overall survival analyses.Through WGCNA we identified several miRNAs that discriminate healthy subjects from PDAC patients and that, therefore, may play critical roles in PDAC development. At a functional level, we found that they regulate p53, FoxO and ErbB associated cellular signalling pathways, as well as cell cycle progression and various genes known to be involved in PDAC development. Some miRNAs were also found to serve as novel prognostic biomarkers, whereas others have previously already been proposed as such, thereby validating the WGCNA approach. In addition, we found that these novel data may explain at least some of our previous PDAC gene expression analysis results.We identified several miRNAs critical for PDAC development using WGCNA. These miRNAs may serve as biomarkers for PDAC diagnosis/prognosis and patient stratification, and as putative novel therapeutic targets.
Starting Page	181
Ending Page	192
Page Count	12
File Format	PDF
ISSN	22113428
Journal	Cellular Oncology
Volume Number	40
Issue Number	2
e-ISSN	22113436
Language	English
Publisher	Springer Netherlands
Publisher Date	2017-02-15
Publisher Institution	International Society for Cellular Oncology
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Pancreatic cancer PDAC miRNA expression WGCNA Systems biology Biomarkers Cancer Research Biomedicine Pathology Oncology
Content Type	Text
Resource Type	Article
Subject	Cancer Research Molecular Medicine Oncology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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