Gene expression profiling-based risk prediction and profiles of immune infiltration in diffuse large B-cell lymphoma.

ABSTRACT: The clinical risk stratification of diffuse large B-cell lymphoma (DLBCL) relies on the International Prognostic Index (IPI) for the identification of high-risk disease. Recent studies suggest that the immune microenvironment plays a role in treatment response prediction and survival in DLBCL. This study developed a risk prediction model and evaluated the model's biological implications in association with the estimated profiles of immune infiltration. Gene-expression profiling of 718 patients with DLBCL was done, for which RNA sequencing data and clinical covariates were obtained from Reddy et al. (2017). Using unsupervised and supervised machine learning methods to identify survival-associated gene signatures, a multivariable model of survival was constructed. Tumor-infiltrating immune c

SUBMITTER: Merdan S 

PROVIDER: S-EPMC7791044 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature