The prognostic significance of ubiquitination-related genes in multiple myeloma by bioinformatics analysis.

ABSTRACT:

Background

Immunoregulatory drugs regulate the ubiquitin-proteasome system, which is the main treatment for multiple myeloma (MM) at present. In this study, bioinformatics analysis was used to construct the risk model and evaluate the prognostic value of ubiquitination-related genes in MM.

Methods and results

The data on ubiquitination-related genes and MM samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The consistent cluster analysis and ESTIMATE algorithm were used to create distinct clusters. The MM prognostic risk model was constructed through single-factor and multiple-factor analysis. The ROC curve was plotted to compare the survival difference between high- and low-risk groups. The nomogram was used to validate

SUBMITTER: Zhang F 

PROVIDER: S-EPMC11186196 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature