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Dataset Information

Leveraging a disulfidptosis/ferroptosis-based signature to predict the prognosis of lung adenocarcinoma.


ABSTRACT:

Background

Disulfidptosis and Ferroptosis are two novel forms of cell death. Although their mechanisms differ, research has shown that there is a relationship between the two. Investigating the connection between these two forms of cell death can further deepen our understanding of the development and progression of cancer, and provide better prediction models for accurate prognosis.

Methods

In this study, RNA sequencing (RNA-seq) data, clinical data, single nucleotide polymorphism (SNP) data, and single-cell sequencing data were obtained from public databases. We used weighted gene co-expression network analysis (WGCNA) and unsupervised clustering to identify new Disulfidptosis/Ferroptosis-Related Genes (DFRG), and constructed a LASSO COX prognosis model that was externally

SUBMITTER: Ma X 

PROVIDER: S-EPMC10634118 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature