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ABSTRACT: Introduction
Owing to the poor prognosis of Ewing's sarcoma, reliable prognostic biomarkers are highly warranted for clinical diagnosis of the disease.Materials and methods
A combination of the weighted correlation network analysis and differentially expression analysis was used for initial screening; glycolysis-related genes were extracted and subjected to univariate Cox, LASSO regression, and multivariate Cox analyses to construct prognostic models. The immune cell composition of each sample was analysed using CIBERSORT software. Immunohistochemical analysis was performed for assessing the differential expression of modelled genes in Ewing's sarcoma and paraneoplastic tissues.Results
A logistic regression model constructed for the prognosis of Ewing's sarcoma exhi
SUBMITTER: Jiang J
PROVIDER: S-EPMC8312448 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature