Gene expression signature-based novel prognostic risk score in gastric cancer

ABSTRACT: Despite continual efforts to establish pre-operative prognostic model of gastric cancer by using clinical and pathological parameters, a staging system that reliably separates patients with early and advanced gastric cancer into homogeneous groups with respect to prognosis does not exist. With use of microarray and quantitative RT-PCR technologies, we exploited series of experiments in combination with complementary data analyses on tumor specimens from 161 gastric cancer patients. Various statistical analyses were applied to gene expression data to uncover subgroups of gastric cancer, to identify potential biomarkers associated with prognosis, and to construct molecular predictor of risk from identified prognostic biomarkers.Two subgroups of gastric cancer with strong association with pro

ORGANISM(S): Homo sapiens

SUBMITTER: Sangbae Kim 

PROVIDER: E-GEOD-13861 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress