Molecular classification and identification of an aggressive signature in low-grade B-cell lymphomas.

ABSTRACT: Non-follicular low-grade B-cell lymphomas (LGBCL) are biologically diverse entities that share clinical and histologic features that make definitive pathologic categorization challenging. While most patients with LGBCL have an indolent course, some experience aggressive disease, highlighting additional heterogeneity across these subtypes. To investigate the potential for shared biology across subtypes, we performed RNA sequencing and applied machine learning approaches that identified five clusters of patients that grouped independently of subtype. One cluster was characterized by inferior outcome, upregulation of cell cycle genes, and increased tumor immune cell content. Integration of whole exome sequencing identified novel LGBCL mutations and enrichment of TNFAIP3 and BCL2 alterations i

SUBMITTER: Hopper MA 

PROVIDER: S-EPMC10592585 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature