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Characterization of gene expression profiles of gastric cancer in Kosin University cohort

GSE26901 Homo sapiens Expression profiling by array 109 samples Submitted 2016/12/31 Platform GPL6947
Summary
Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from gastric cancer patients and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis and response to adjuvant chemotherapy.
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Also filed as BioProject PRJNA142167. Searching any of these in the dataset finder brings you back here.

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