Prognostic characteristics of a six-gene signature based on ssGSEA in sarcoma.

ABSTRACT:

Background

Sarcoma is a rare malignant tumor originating of the interstitial or connective tissue with a poor prognosis. Next-generation sequencing technology offers new opportunities for accurate diagnosis and treatment of sarcomas. There is an urgent need for new gene signature to predict prognosis and evaluate treatment outcomes.

Methods

We used transcriptome data from the Cancer Genome Atlas (TCGA) database and single sample gene set enrichment analysis (ssGSEA) to explore the cancer hallmarks most associated with prognosis in sarcoma patients. Then, weighted gene coexpression network analysis, univariate COX regression analysis and random forest algorithm were used to construct prognostic gene characteristics. Finally, the prognostic value of gene markers was validated

SUBMITTER: Liu J 

PROVIDER: S-EPMC10866427 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature