A Five-microRNA Signature for Survival Prognosis in Pancreatic Adenocarcinoma based on TCGA Data

Scientific Reports
Xiu-Hui ShiRen-Yi Qin

Abstract

Novel biomarkers for pancreatic adenocarcinoma are urgently needed because of its poor prognosis. Here, by using The Cancer Genome Atlas (TCGA) RNA-seq data, we evaluated the prognostic values of the differentially expressed miRNAs and constructed a five-miRNA signature that could effectively predict patient overall survival (OS). The Kaplan-Meier overall survival curves of two groups based on the five miRNAs were notably different, showing overall survival in 10.2% and 47.8% at five years for patients in high-risk and low-risk groups, respectively. The ROC curve analysis achieved AUC of 0.775, showing good sensitivity and specificity of the five-miRNA signature model in predicting pancreatic adenocarcinoma patient survival risk. The functional enrichment analysis suggested that the target genes of the miRNA signature may be involved in various pathways related to cancer, including PI3K-Akt, TGF-β, and pluripotent stem cell signaling pathways. Finally, we analyzed expression of the five specific miRNAs in the miRNA signature, and validated the reliability of the results in 20 newly diagnosed pancreatic adenocarcinoma patients using qRT-PCR. The expression results of qRT-PCR were consistent with the TCGA results. Taken together,...Continue Reading

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Citations

Mar 25, 2020·Oncotarget·Emanuela Dell'AquilaDaniele Santini
Dec 21, 2019·Journal of Biomedical Informatics·Jihwan HaSanghyun Park
Feb 5, 2021·Chemical Society Reviews·Thomas JetValérie Taly

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Methods Mentioned

BETA
RNA-seq
PCR
Assay

Software Mentioned

ggplot2
miRTarBase
miRDB
Cytoscape MCODE
STRING
R
R package
KOBAS
TargetScan
miRanda

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