A prognostic pyroptosis-related LncRNA classifier associated with the immune landscape and therapy efficacy in glioma.

ABSTRACT: Background: Glioma has the highest fatality rate among intracranial tumours. Besides, the heterogeneity of gliomas leads to different therapeutic effects even with the same treatment. Developing a new signature for glioma to achieve the concept of "personalised medicine" remains a significant challenge. Method: The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) were searched to acquire information on glioma patients. Initially, correlation and univariate Cox regression analyses were performed to screen for prognostic pyroptosis-related long noncoding RNAs (PRLs). Secondly, 11 PRLs were selected to construct the classifier using certain algorithms. The efficacy of the classifier was then detected by the "timeROC" package for both the training and validat

SUBMITTER: Zhong J 

PROVIDER: S-EPMC9637659 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature