Identification of a novel cuproptosis-related gene signature for multiple myeloma diagnosis.

ABSTRACT:

Background

Multiple myeloma (MM) ranks second among the most prevalent hematological malignancies. Recent studies have unearthed the promise of cuproptosis as a novel therapeutic intervention for cancer. However, no research has unveiled the particular roles of cuproptosis-related genes (CRGs) in the prediction of MM diagnosis.

Methods

Microarray data and clinical characteristics of MM patients were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene analysis, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) algorithms were applied to identify potential signature genes for MM diagnosis. Predictive performance was further assessed by receiver operating characteristic

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC10629272 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature