Construction of a prognostic signature in Ewing's sarcoma: Based on metabolism-related genes.

ABSTRACT:

Objective

By combining the expression profiles of metabolism-related genes (MRGS) with clinical information, the expression quantities of MRGS and the influence on development and prognosis were systematically analyzed, so as to provide a theoretical basis for the clinical study on the prognosis of Ewing's sarcoma.

Methods

MRGs expression profiles of 64 patients with Ewing's sarcoma were obtained from GEO dataset. Univariate Cox regression analysis was used to identify metabolization-related differentially expressed genes (DEGs) related with prognosis in Ewing's sarcoma patients. Then, multivariate Cox analysis was used to calculate novel prognostic markers based on metabolism-related DEGs. Besides, We validate the model using ICGC datasets. Finally, the new prognostic index

SUBMITTER: Fu Z 

PROVIDER: S-EPMC8461378 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature