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ABSTRACT: Background
Multiple myeloma (MM), a malignancy of plasma cells in the bone marrow, urgently requires novel prognostic biomarkers. However, the prognostic significance of disulfidptosis-related genes and their association with treatment response in MM remain unclear.Methods
Transcriptomic data from MM samples were obtained from the Gene Expression Omnibus (GEO) database. A disulfidptosis-related prognostic model was constructed using LASSO-Cox regression analysis. The performance of the model was evaluated, and its clinical relevance to treatment response was subsequently assessed. Finally, the expression of the identified genes was validated by qRT-PCR and Western blotting.Results
Unsupervised cluster analysis identified a total of 121 differentially expressed genes
SUBMITTER: Zang Y
PROVIDER: S-EPMC12702948 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature