A Prognostic Model Based on mRNA Expression Analysis of Esophageal Squamous Cell Carcinoma.

ABSTRACT: Background: The aim of this study was to identify prognostic markers for esophageal squamous cell carcinoma (ESCC) and build an effective prognostic nomogram for ESCC. Methods: A total of 365 patients with ESCC from three medical centers were divided into four cohorts. In the discovery phase of the study, we analyzed transcriptional data from 179 cancer tissue samples and identified nine marker genes using edgeR and rbsurv packages. In the training phase, penalized Cox regression was used to select the best marker genes and clinical characteristics in the 179 samples. In the verification phase, these marker genes and clinical characteristics were verified by internal validation cohort (n = 58) and two external cohorts (n = 81, n = 105). Results: We constr

SUBMITTER: Liu K 

PROVIDER: S-EPMC8921680 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature