Risk Model Based On Neutrophil-Related Genes Constructs to Assess Prognosis and Immune Landscape in Diffuse Large...

Area of Science:

• Oncology
• Immunology
• Genetics

Background:

• Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous non-Hodgkin lymphoma.
• Neutrophils are key immune cells influencing the tumor microenvironment (TME).

Purpose of the Study:

• To evaluate the prognostic value of neutrophil-related genes (NRGs) in DLBCL.
• To investigate the association between NRGs and the DLBCL tumor microenvironment.

Main Methods:

• Transcriptomic data from TCGA and GEO databases were analyzed.
• LASSO, random forest, and XGBoost algorithms screened key genes.
• A prognostic model was built using multivariate Cox regression, validated with ROC and Kaplan-Meier analyses.
• Immune cell infiltration, gene enrichment, tumor mutation burden, and drug sensitivity were assessed.
• Consensus clustering identified DLBCL molecular subtypes.

Main Results:

• A risk model based on 9 NRGs (TGFB2, LAMA4, GGH, F5, CD163, RasGRP4, ANXA2, S100A4, PTEN) significantly stratified DLBCL patient survival.
• The low-risk group showed higher immunoreactivity and ESTIMATE scores.
• High-risk group pathways involved cell cycle and DNA repair; low-risk group pathways involved extracellular matrix remodeling and cytokine signaling.

Conclusions:

• The NRG-based risk model accurately predicts DLBCL patient survival outcomes.
• The model provides insights into the immune profiles and molecular characteristics of DLBCL based on NRGs.