A prognostic gene model of immune cell infiltration in diffuse large B-cell lymphoma.

ABSTRACT:

Background

Immune cells in the tumor microenvironment are an important prognostic indicator in diffuse large B-cell lymphoma (DLBCL). However, information on the heterogeneity and risk stratification of these cells is limited. We sought to develop a novel immune model to evaluate the prognostic intra-tumoral immune landscape of patients with DLBCL.

Methods

The ESTIMATE and CIBERSORT algorithms were used to estimate the numbers of 22 infiltrating immune cells based on the gene expression profiles of 229 patients with DLBCL who were recruited from a public database. The least absolute shrinkage and selection operator (Lasso) penalized regression analyses and nomogram model were used to construct and evaluate the prognostic immunoscore (PIS) model for overall survival predictio

SUBMITTER: Zhou H 

PROVIDER: S-EPMC7414766 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature