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Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
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Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
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Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity

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Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
Journal Article

Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity

2013
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Overview
Adam Bass, Gad Getz and colleagues report whole-exome sequencing of 149 esophageal adenocarcinomas (EACs) and whole-genome sequencing of 15 EACs. They identify a mutational signature defined by a high prevalence of A>C transversions, as well as 26 genes mutated at high frequency in EACs. The incidence of esophageal adenocarcinoma (EAC) has risen 600% over the last 30 years. With a 5-year survival rate of ∼15%, the identification of new therapeutic targets for EAC is greatly important. We analyze the mutation spectra from whole-exome sequencing of 149 EAC tumor-normal pairs, 15 of which have also been subjected to whole-genome sequencing. We identify a mutational signature defined by a high prevalence of A>C transversions at AA dinucleotides. Statistical analysis of exome data identified 26 significantly mutated genes. Of these genes, five ( TP53 , CDKN2A , SMAD4 , ARID1A and PIK3CA ) have previously been implicated in EAC. The new significantly mutated genes include chromatin-modifying factors and candidate contributors SPG20 , TLR4 , ELMO1 and DOCK2 . Functional analyses of EAC-derived mutations in ELMO1 identifies increased cellular invasion. Therefore, we suggest the potential activation of the RAC1 pathway as a contributor to EAC tumorigenesis.