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

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Abstract

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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Authors and Affiliations

  1. Cancer Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China

    Yao Sun, Xufeng Li, Chunyu Jiang, Mingxing Xiao, Yanfang Zheng, Jiren Zhang & Junguo Bu

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  1. Yao Sun
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  2. Xufeng Li
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  3. Chunyu Jiang
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  4. Mingxing Xiao
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  5. Yanfang Zheng
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  6. Jiren Zhang
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  7. Junguo Bu
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Correspondence to Jiren Zhang or Junguo Bu.

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Sun, Y., Li, X., Jiang, C. et al. Data Mining and Bioinformatics of the Expression Data of Esophageal Squamous Cell Carcinoma. Cell Biochem Biophys 69, 481–485 (2014). https://doi.org/10.1007/s12013-014-9821-y

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  • DOI: https://doi.org/10.1007/s12013-014-9821-y

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