Data Mining and Bioinformatics of the Expression Data of Esophageal Squamous Cell Carcinoma

被引：0
|
作者：
Yao Sun
Xufeng Li
Chunyu Jiang
Mingxing Xiao
Yanfang Zheng
Jiren Zhang
Junguo Bu
机构：
[1] Southern Medical University,Cancer Center, Zhujiang Hospital
来源：
Cell Biochemistry and Biophysics | 2014年 / 69卷
关键词：
Esophageal squamous cell carcinoma; Bioinformatics; BRB-array tools;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The aim is to explore the molecular regulation mechanism of the pathogenesis of the esophageal squamous cell carcinoma. The expression data of esophageal squamous cell carcinoma were obtained from the GEO database. The differential expression genes were identified by the BRB-array tools and the pathway was analyzed by DAVID online tools. The class comparison analysis showed that there were 376 differential expression genes. These genes involved in many tumor-related pathways. What is more, these pathways had common genes. As a conclusion, it was helpful to comprehensively understand the pathogenesis of esophageal squamous carcinoma using data mining and bioinformatics analysis of esophageal squamous cell carcinoma. It would offer new ideas for target therapy of the esophageal squamous cell carcinoma.
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页码：481 / 485
页数：4
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