Prediction significance of autophagy-related genes in survival probability and drug resistance in diffuse large B-cell lymphoma.

ABSTRACT:

Background/aims

Diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin lymphoma, has significant prognostic heterogeneity. This study aimed to generate a prognostic prediction model based on autophagy-related genes for DLBCL patients.

Methods

Utilizing bioinformatics techniques, we analyzed the clinical information and transcriptome data of DLBCL patients from the Gene Expression Omnibus (GEO) database. Through unsupervised clustering, we identified new autophagy-related molecular subtypes and pinpointed differentially expressed genes (DEGs) between these subtypes. Based on these DEGs, a prognostic model was constructed using Cox and Lasso regression. The effectiveness, accuracy, and clinical utility of this prognostic model were assessed using numerou

SUBMITTER: Xiong D 

PROVIDER: S-EPMC10866451 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature