Identification of biomarkers in multiple myeloma: A comprehensive study combining microarray analysis and Mendelian randomization.

ABSTRACT: Despite remarkable advancements in the treatment of multiple myeloma (MM), relapse remains a challenge. However, the mechanisms underlying this disease remain unclear. This study aimed to identify potential biomarkers that could open new avenues for MM treatment. Microarray data and clinical characteristics of patients with MM were obtained from the Gene Expression Omnibus database. Differential expression analysis and protein-protein interaction (PPI) network construction were used to identify hub genes associated with MM. Predictive performance was further assessed using receiver operating characteristic curves and nomogram construction. Functional enrichment analysis was conducted to investigate possible mechanisms. Mendelian randomization (MR) was used to evaluate the causal relationsh

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC11200096 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature