Dataset Information

Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression.

ABSTRACT:

Background

The aim of this study was to explore the underlying molecular mechanism and potential molecular biomarkers of chronic pancreatitis (CP) and construct a miRNA-mRNA regulation network.

Methods

To explore the involvement of miRNAs in CP, we downloaded the miRNA and mRNA expression profiles of CP patients and healthy controls and identified the differentially expressed miRNAs and genes. Functional analysis was conducted and significant pathways were utilized. Finally, the miRNA-mRNA regulation network of CP was constructed.

Results

A total of 44 miRNA risk gene pathway relationships were identified, and a complex regulation network was constructed with 3 genes (ABL1, MYC, and ANAPC13) having the highest degree in affecting the network of CP. Importantly, 4 risk genes (NOTCH3, COX5A, THBS1, and KARS) and 1 risk miRNA (hsa-miR-324-5p) were identified with high prediction accuracy.

Conclusions

In conclusion, we analyzed miRNAs and mRNAs expression profiles in CP, 1 risk miRNA, and 4 risk genes were identified with high prediction accuracy as biomarkers of CP. Although further evaluation in clinical study is needed, our findings provide new insights into the pathogenesis of CP and may improve the diagnosis and therapy by identifying novel targets.

SUBMITTER: Wang D

PROVIDER: S-EPMC5457847 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Publications

Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression.

Wang Dan D Xin Lei L Lin Jin-Huan JH Liao Zhuan Z Ji Jun-Tao JT Du Ting-Ting TT Jiang Fei F Li Zhao-Shen ZS Hu Liang-Hao LH

Medicine 20170501 21

<h4>Background</h4>The aim of this study was to explore the underlying molecular mechanism and potential molecular biomarkers of chronic pancreatitis (CP) and construct a miRNA-mRNA regulation network.<h4>Methods</h4>To explore the involvement of miRNAs in CP, we downloaded the miRNA and mRNA expression profiles of CP patients and healthy controls and identified the differentially expressed miRNAs and genes. Functional analysis was conducted and significant pathways were utilized. Finally, the m ...[more]

PMID: 28538367

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Dataset Information

Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression.

Background

Methods

Results

Conclusions

Publications

Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression.

Similar Datasets

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