Unknown

Dataset Information

A novel DNA damage and repair-related gene signature to improve predictive capacity of overall survival for patients with gliomas.


ABSTRACT: Gliomas, as the most lethal and malignant brain tumours in adults, remain a major challenge worldwide. DNA damage and repair-related genes (DDRRGs) appear to play a significant role in gliomas, but the studies of DDRRGs are still insufficient. Herein, we systematically explored and analysed 1547 DDRRGs in 938 glioma samples from TCGA and CGGA datasets. Using least absolute shrinkage and selection operator (LASSO) Cox regression analysis, we identified a 16-DDRRG signature, characterized by high-risk and low-risk patterns. This risk model harbours robust predictive capability for overall survival of glioma patients. We found the high-risk score is strongly associated with well-known malignant features of gliomas, such as the mesenchymal subtype, IDH-wildtype, 1p/19q non-codeletion and MGMT

SUBMITTER: Li X 

PROVIDER: S-EPMC9258707 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature