Protein disulfide isomerases are promising targets for predicting the survival and tumor progression in glioma patients.

ABSTRACT: The present study focused on the expression patterns, prognostic values and potential mechanism of the PDI family in gliomas. Most PDI family members' mRNA expressions were observed significantly different between gliomas classified by clinical features. Construction of the PDI signature, cluster and risk score models of glioma was done using GSVA, consensus clustering analysis, and LASSO Cox regression analysis respectively. High values of PDI signature/ risk score and cluster 1 in gliomas were associated with malignant clinicopathological characteristics and poor prognosis. Analysis of the distinctive genomic alterations in gliomas revealed that many cases having high PDI signature and risk score were associated with genomic aberrations of driver oncogenes. GSVA analysis showed that PDI

SUBMITTER: Peng Z 

PROVIDER: S-EPMC7041756 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature