Integrative analysis of copy number and transcriptional expression profiles in esophageal cancer to identify a novel driver gene for therapy.

An increasing amount of evidence has highlighted the critical roles that copy number variants play in cancer progression. Here, we systematically analyzed the copy number alterations and differentially transcribed genes. Integrative analysis of the association between copy number variants and differential gene expression suggested that copy number variants will lead to aberrant expression of the corresponding genes. We performed a KEGG pathway and GO analysis, which revealed that cell cycle may have an effective role in the progression of esophageal cancer. FAM60A was then screened out as a potential prognostic factor through survival analysis and correlation analysis with clinical-pathological parameters. We subsequently showed that silencing of FAM60A could inhibit esophageal carcinoma tumor cell growth, migration and invasion in vitro. Through the bioinformatic analysis, we predict that FAM60A may act as a transcriptional factor to regulate genes that are correlated with each cell cycle. In summary, we comprehensively analyzed copy number segments and transcriptional expression profiles, which provided a novel approach to identify clinical biomarkers and therapeutic targets of esophageal carcinoma.

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