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Integrated PPI- and WGCNA-Retrieval of Hub Gene Signatures Shared Between Barrett's Esophagus and Esophageal Adenocarcinoma.

作者信息

Nangraj Asma Sindhoo, Selvaraj Gurudeeban, Kaliamurthi Satyavani, Kaushik Aman Chandra, Cho William C, Wei Dong Qing

机构信息

The State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Center of Interdisciplinary Sciences-Computational Life Sciences, Henan University of Technology, Zhengzhou, China.

出版信息

Front Pharmacol. 2020 Jul 31;11:881. doi: 10.3389/fphar.2020.00881. eCollection 2020.


DOI:10.3389/fphar.2020.00881
PMID:32903837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7438937/
Abstract

Esophageal adenocarcinoma (EAC) is a deadly cancer with high mortality rate, especially in economically advanced countries, while Barrett's esophagus (BE) is reported to be a precursor that strongly increases the risk of EAC. Due to the complexity of these diseases, their molecular mechanisms have not been revealed clearly. This study aims to explore the gene signatures shared between BE and EAC based on integrated network analysis. We obtained EAC- and BE-associated microarray datasets GSE26886, GSE1420, GSE37200, and GSE37203 from the Gene Expression Omnibus and ArrayExpress using systematic meta-analysis. These data were accompanied by clinical data and RNAseq data from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) analysis were conducted to explore the relationship between gene sets and clinical traits as well as to discover the key relationships behind the co-expression modules. A differentially expressed gene-based protein-protein interaction (PPI) complex was used to extract hub genes through Cytoscape plugins. As a result, 403 DEGs were excavated, comprising 236 upregulated and 167 downregulated genes, which are involved in the cell cycle and replication pathways. Forty key genes were identified using modules of MCODE, CytoHubba, and CytoNCA with different algorithms. A dark-gray module with 207 genes was identified which having a high correlation with phenotype (gender) in the WGCNA. Furthermore, five shared hub gene signatures (SHGS), namely, pre-mRNA processing factor 4 (PRPF4), serine and arginine-rich splicing factor 1 (SRSF1), heterogeneous nuclear ribonucleoprotein M (HNRNPM), DExH-Box Helicase 9 (DHX9), and origin recognition complex subunit 2 (ORC2), were identified between BE and EAC. SHGS enrichment denotes that RNA metabolism and splicosomes play a key role in esophageal cancer development and progress. We conclude that the PPI complex and WGCNA co-expression network highlight the importance of phenotypic identifying hub gene signatures for BE and EAC.

摘要

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本文引用的文献

[1]
OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma.

Front Oncol. 2020-3-6

[2]
The Y-chromosome F haplogroup contributes to the development of Barrett's esophagus-associated esophageal adenocarcinoma in a white male population.

Dis Esophagus. 2020-9-4

[3]
Epidemiologic Risk Factors in a Comparison of a Barrett Esophagus Registry (BarrettNET) and a Case-Control Population in Germany.

Cancer Prev Res (Phila). 2020-4

[4]
OnclncRNA-626 promotes malignancy of gastric cancer via inactivated the p53 pathway through interacting with SRSF1.

Am J Cancer Res. 2019-10-1

[5]
Long non-coding RNA MIR205HG regulates KRT17 and tumor processes in cervical cancer via interaction with SRSF1.

Exp Mol Pathol. 2019-10-23

[6]
Pattern of oesophageal diseases in Madinah region, Saudi Arabia: An 11 years experience.

J Pak Med Assoc. 2019-9

[7]
SRSF1 and RBM4 differentially modulate the oncogenic effect of HIF-1α in lung cancer cells through alternative splicing mechanism.

Biochim Biophys Acta Mol Cell Res. 2019-9-3

[8]
Measuring rank robustness in scored protein interaction networks.

BMC Bioinformatics. 2019-8-28

[9]
PRPF4 is a novel therapeutic target for the treatment of breast cancer by influencing growth, migration, invasion, and apoptosis of breast cancer cells via p38 MAPK signaling pathway.

Mol Cell Probes. 2019-8-22

[10]
Bioinformatics analysis of molecular genetic targets and key pathways for hepatocellular carcinoma.

Onco Targets Ther. 2019-7-2

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