Dataset Information
Deep sequencing of gastric carcinoma reveals somatic mutations relevant to personalized medicine.
Ontology highlight
ABSTRACT: Background
Globally, gastric cancer is the second most common cause of cancer-related death, with the majority of the health burden borne by economically less-developed countries.Methods
Here, we report a genetic characterization of 50 gastric adenocarcinoma samples, using affymetrix SNP arrays and Illumina mRNA expression arrays as well as Illumina sequencing of the coding regions of 384 genes belonging to various pathways known to be altered in other cancers.Results
Genetic alterations were observed in the WNT, Hedgehog, cell cycle, DNA damage and epithelial-to-mesenchymal-transition pathways.Conclusions
The data suggests targeted therapies approved or in clinical development for gastric carcinoma would be of benefit to ~22% of the patients studied. In addition, the novel mutations detected here, are likely to influence clinical response and suggest new targets for drug discovery.
SUBMITTER: Holbrook JD
PROVIDER: S-EPMC3152520 | biostudies-literature | 2011 Jul
REPOSITORIES: biostudies-literature
Publications
Deep sequencing of gastric carcinoma reveals somatic mutations relevant to personalized medicine.
Journal of translational medicine 20110725
<h4>Background</h4>Globally, gastric cancer is the second most common cause of cancer-related death, with the majority of the health burden borne by economically less-developed countries.<h4>Methods</h4>Here, we report a genetic characterization of 50 gastric adenocarcinoma samples, using affymetrix SNP arrays and Illumina mRNA expression arrays as well as Illumina sequencing of the coding regions of 384 genes belonging to various pathways known to be altered in other cancers.<h4>Results</h4>Gen ...[more]
