EMT-Related Gene Signature Predicts the Prognosis in Uveal Melanoma Patients.

ABSTRACT:

Background

Uveal melanoma (UVM) is the most common primary intraocular malignancy in adults. Epithelial-mesenchymal transition (EMT) is an essential regulator of the UVM's immune microenvironment. However, the precise role of EMT in UVM remains to be explored and the development of a related treatment strategy is urgently needed.

Methods

Multiomics data and clinical information for TCGA-UVM were used to identify the EMT subtypes and analyze their regulatory role in the immune microenvironment in UVM. A machine-learning method based on the identified subtypes was utilized to construct the EMT feature-based prognostic model. External validation cohorts GSE84976 and GSE22138 were employed to validate the model's robustness. Immunotherapy cohort IMvigor210 was used to explore th

SUBMITTER: Lv Y 

PROVIDER: S-EPMC9391141 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature