Bioinformatics study of bortezomib resistance-related proteins and signaling pathways in mantle cell lymphoma.

ABSTRACT:

Background

The bortezomib (BTZ) resistance mechanisms in mantle cell lymphoma (MCL) are complex, involving various genes and signaling pathways. This study used bioinformatical tools to identify and analyze differentially expressed genes (DEGs) associated with BTZ resistance.

Methods

Gene chip datasets containing MCL BTZ-resistant and normal control cohorts (GSE20915 and GSE51371) were selected from the Gene Expression Omnibus (GEO) database. GEO2R was used to identify the upregulated DEGs in the microarray datasets, using a significance threshold of P<0.05. Subsequently, these DEGs were subjected to a Gene Ontology (GO) functional analysis, a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and a protein-protein interaction (PPI) network assessment. Addition

SUBMITTER: Zheng L 

PROVIDER: S-EPMC11483405 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature