Microarray analyses reveal genes related to progression and prognosis of esophageal squamous cell carcinoma
Metrics: PDF 1120 views | HTML 2344 views | ?
Mao Qixing1,2,3,*, Dong Gaochao1,3,*, Xia Wenjie1,2,3,*, Wang Anpeng1,2,3, Chen Bing1,2,3, Ma Weidong1,2,3, Xu Lin1,3 and Jiang Feng1,3
1Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, China
2The Fourth Clinical College of Nanjing Medical University, Nanjing, China
3Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Cancer Institute of Jiangsu Province, Nanjing, China
*These authors have contributed equally to this work
Xu Lin, email: email@example.com
Jiang Feng, email: firstname.lastname@example.org
Keywords: esophageal squamous cell carcinoma, biomarker, progression, oncomine, prognosis
Received: June 10, 2017 Accepted: July 13, 2017 Published: August 12, 2017
Esophageal squamous cell carcinoma is a high morbidity and mortality cancer in China. Here are few biomarkers and therapeutic targets. Our study was aimed to identify candidate genes correlated to ESCC. Oncomine, The Cancer Genome Atlas, Gene Expression Omnibus were retrieved for eligible ESCC data. Deregulated genes were identified by meta-analysis and validated by an independent dataset. Survival analyses and bioinformatics analyses were used to explore potential mechanisms. Copy number variant analyses identified upstream mechanisms of candidate genes. In our study, top 200 up/down-regulated genes were identified across two microarrays. A total of 139 different expression genes were validated in GSE53625. Survival analysis found that nine genes were closely related to prognosis. Furthermore, Gene Ontology analyses and Kyoto Encyclopedia of Genes and Genomes analyses showed that different expression genes were mainly enriched in cell division, cell cycle and cell-cell adhesion pathways. Copy number variant analyses indicated that overexpression of ECT2 and other five genes were correlated with copy number amplification. The current study demonstrated that ECT2 and other eight candidate genes were correlated to progression and prognosis of esophageal squamous cell carcinoma, which might provide novel insights to the mechanisms.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.