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Dataset Information

Development and validation of disulfidptosis-related genes signature for patients with glioma.


ABSTRACT:

Background

Disulfidptosis has recently emerged as a novel form of regulated cell death (RCD). Evasion of cell death is a hallmark of cancer, and the resistance of many tumors to apoptosis-inducing therapies has heightened interest in exploring alternative RCD mechanisms.

Methods

Transcriptomic and clinical data were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Chinese Glioma Genome Atlas (CGGA). Glioma samples were classified using non-negative matrix factorization (NMF). A predictive model was constructed using Lasso regression analysis, and its performance was evaluated through receiver operating characteristic (ROC) and Kaplan-Meier survival analyses. The relationship between the model and the tumor immune microenvironment (TIME) as

SUBMITTER: Wang J 

PROVIDER: S-EPMC11655816 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature