Angiogenesis-related gene signature for prognostic prediction and immune microenvironment characterization in diffuse large B-cell lymphoma.

Abstract

Diseases often result from multiple factors, and angiogenesis-related genes (ARGs) have been demonstrated to be associated with cancer. However, their role in diffuse large B-cell lymphoma (DLBCL) has not been fully elucidated. ARGs associated with DLBCL prognosis were identified utilizing Cox regression and LASSO analyses. A prognostic model was constructed based on 7 ARGs, and its biological function was analyzed. Differences in the tumor immune microenvironment based on the prognostic signature were evaluated. Finally, DLBCL cell experiments confirmed the differential expression of genes in DLBCL. The prognostic value of ARGs in DLBCL patients was comprehensively analyzed for the first time, identifying 7 ARGs with prognostic significance. A prognostic risk model was constructed based on these 7 ARGs and validated on an independent external DLBCL dataset. In DLBCL patients, this prognostic feature was an independent risk factor and significantly correlated with clinical characteristics. This feature was also associated with the immune microenvironment of DLBCL. DLBCL cell experiments confirmed significant expression of the 7 ARGs in DLBCL cells. This research provides a fundamental theoretical basis for improving the diagnosis and treatment of DLBCL in clinical practice.