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Dataset Information

Exploration of the Prognostic Markers of Multiple Myeloma Based on Cuproptosis-Related Genes.


ABSTRACT:

Background

The investigation of cuproptosis in relation to tumor development has been limited, particularly in multiple myeloma (MM), indicating the need for further research. Our study aimed to examine the impact of cuproptosis-related genes (CRGs) on the prognosis of MM.

Methods

Using the datasets, we filtered cuproptosis score-related differentially expressed genes (CRDEGs) by overlapping the DEGs between the MM and normal groups and between the high and low cuproptosis score groups. Additionally, key module genes were identified through weighted gene co-expression network analysis. A univariate Cox algorithm and multivariate Cox analysis were employed to obtain biomarkers of MM and build a prognostic model before conducting independent prognostic analysis.

Results

SUBMITTER: Gao XH 

PROVIDER: S-EPMC11880913 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature