Tumor subtypes and signature model construction based on chromatin regulators for better prediction of prognosis in uveal melanoma.

ABSTRACT: Background: Uveal Melanoma (UM) is the most prevalent primary intraocular malignancy in adults. This study assessed the importance of chromatin regulators (CRs) in UM and developed a model to predict UM prognosis. Methods: Gene expression data and clinical information for UM were obtained from public databases. Samples were typed according to the gene expression of CRs associated with UM prognosis. The prognostic key genes were further screened by the protein interaction network, and the risk model was to predict UM prognosis using the least absolute shrinkage and selection operator (LASSO) regression analysis and performed a test of the risk mode. In addition, we performed gene set variation analysis, tumor microenvironment, and tumor immune analysis between subtypes and ris

SUBMITTER: Li Y 

PROVIDER: S-EPMC10287976 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature