Construction of a DLBCL Prognostic Signature Based on Tumor Microenvironment

Diffuse large B-cell lymphoma (DLBCL) is a common curable non-Hodgkin’s lymphoma. Patients with this disease can be cured after the R-CHOP immunochemotherapy (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone). Nonetheless, most cured patients will relapse again and have dismal prognosis. In this study, we aim to identify a potential biomarker by analyzing gene expression data, and to predict patient’s survival rate by constructing a risk model. Firstly, mRNA chip data (GSE87371) and clinical data of DLBCL patients were obtained from Gene Expression Omnibus (GEO). Samples were scored with estimate package. The obtained stromal score (P P Further analysis showed that the risk model was capable of independently determining the prognosis of patients, and a nomogram was sequentially established. Authors screened DEGs related to ESTIMATE and stromal scores from GEO database, and established a 5-gene prognostic signature through Cox regression analysis and LASSO analysis. The risk model and nomogram will help individuals accurately predict the prognosis of DLBCL patients.