A novel molecular and clinical staging model to predict survival for patients with esophageal squamous cell carcinoma.

ABSTRACT: Current prognostic factors fail to accurately determine prognosis for patients with esophageal squamous cell carcinoma (ESCC) after surgery. Here, we constructed a survival prediction model for prognostication in patients with ESCC. Candidate molecular biomarkers were extracted from the Gene Expression Omnibus (GEO), and Cox regression analysis was performed to determine significant prognostic factors. The survival prediction model was constructed based on cluster and discriminant analyses in a training cohort (N=205), and validated in a test cohort (N=207). The survival prediction model consisting of two genes (UBE2C and MGP) and two clinicopathological factors (tumor stage and grade) was developed. This model could be used to accurately categorize patients into three groups in the test c

SUBMITTER: Wang W 

PROVIDER: S-EPMC5325382 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature