Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning.

ABSTRACT:

Background

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma, characterized by significant clinical and molecular heterogeneity, which leads to considerable variability in patient prognosis. Programmed cell death (PCD) plays a critical role in the development and progression of various cancers. A comprehensive analysis of PCD-related gene expression in DLBCL could enhance risk stratification and inform personalized treatment strategies.

Methods

This study integrated five DLBCL datasets with 18 PCD-related gene expression profiles to identify differentially expressed genes (DEGs) associated with PCD. Patients were stratified into two subgroups (C1 and C2) using consensus clustering analysis. We further performed immune infiltration analy

SUBMITTER: He T 

PROVIDER: S-EPMC12003219 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature