Identification of the Key Genes and Pathways in Esophageal CarcinomaReportar como inadecuado

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Gastroenterology Research and Practice - Volume 2016 2016, Article ID 2968106, 11 pages -

Research ArticleDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China

Received 28 March 2016; Revised 1 July 2016; Accepted 11 July 2016

Academic Editor: Robert Odze

Copyright © 2016 Peng Su et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. Esophageal carcinoma EC is a frequently common malignancy of gastrointestinal cancer in the world. This study aims to screen key genes and pathways in EC and elucidate the mechanism of it. Methods. 5 microarray datasets of EC were downloaded from Gene Expression Omnibus. Differentially expressed genes DEGs were screened by bioinformatics analysis. Gene Ontology GO enrichment, Kyoto Encyclopedia of Genes and Genomes KEGG enrichment, and protein-protein interaction PPI network construction were performed to obtain the biological roles of DEGs in EC. Quantitative real-time polymerase chain reaction qRT-PCR was used to verify the expression level of DEGs in EC. Results. A total of 1955 genes were filtered as DEGs in EC. The upregulated genes were significantly enriched in cell cycle and the downregulated genes significantly enriched in Endocytosis. PPI network displayed CDK4 and CCT3 were hub proteins in the network. The expression level of 8 dysregulated DEGs including CDK4, CCT3, THSD4, SIM2, MYBL2, CENPF, CDCA3, and CDKN3 was validated in EC compared to adjacent nontumor tissues and the results were matched with the microarray analysis. Conclusion. The significantly DEGs including CDK4, CCT3, THSD4, and SIM2 may play key roles in tumorigenesis and development of EC involved in cell cycle and Endocytosis.

Autor: Peng Su, Shiwang Wen, Yuefeng Zhang, Yong Li, Yanzhao Xu, Yonggang Zhu, Huilai Lv, Fan Zhang, Mingbo Wang, and Ziqiang Ti



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