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Comparison of MHG and DZsig reveals shared biology and a core overlap group with inferior prognosis in DLBCL.

Published version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Davies, John R 
Jiang, Aixiang 
Barrans, Sharon 
Burton, Catherine 

Abstract

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease identified by morphology, immunophenotype, and a typically aggressive clinical course.1 DLBCL has long been stratified based on gene expression profiling (GEP) into activated B-cell–like (ABC) and germinal center B-cell–like (GCB) cell-of-origin (COO) subtypes.2 Recently, several studies stratified DLBCL into genetic subgroups based on the co-occurrence of mutational features with strong associations with COO.3-6 Previously, our 2 groups independently reported gene expression signatures associated with dark-zone–like biology in DLBCL. The molecular high-grade signature (MHG) identifies DLBCLs expressing a Burkitt lymphoma (BL)-like GEP signature,7 whereas the double-hit signature (since renamed dark-zone signature [DZsig]8) identifies DLBCLs with a GEP signature like high-grade B-cell lymphoma with MYC and BCL2 rearrangement (HGBCL-DH-BCL2) (whether the tumors harbor MYC and BCL2 rearrangements or not).9,10 Remarkably, despite the small overlap in the genes that comprise each signature, both classifiers identified a subset of DLBCL tumors enriched for certain genetic aberrations, including concomitant MYC and BCL2 rearrangements.7,9 Here, we present analyses that directly compare MHG and DZsig classifications applied to the same data sets, demonstrating that most tumors positive for 1 signature are positive for both. We evaluated the agreement between the 2 scores in several cohorts and investigated the association of the group of tumors positive for both signatures, “DZSig&MHG,” with outcome. Finally, we compared the mutation frequencies in tumors positive for 1 or both signatures and their association with 2 DLBCL genetic subgroup classifications. Our results demonstrate a clear biological similarity between the DZsig and MHG classifications and strong associations with the EZB genetic subgroup. All data used in this study were generated as part of studies reviewed and approved by the institutional review boards at each site, in accordance with the Declaration of Helsinki. GEP matrices were obtained for 3 cohorts: REMoDL-B (N = 928; Illumina DASL),7,11 Hematologic Malignancy Diagnostic Service (HMDS) (N = 1024; Illumina DASL),12 and DLC (N = 304; polyAselected RNAseq) (supplemental Tables 1-2).9 MHG classifications were generated for each data set using the BDC classifier.13 DZsig classification was performed using the PRPS-ST classifier.14 We

Description

Keywords

Prognosis, Biology

Journal Title

Blood Adv

Conference Name

Journal ISSN

2473-9529
2473-9537

Volume Title

7

Publisher

American Society of Hematology
Sponsorship
Blood Cancer UK (19010)
Bloodwise (via University of Southampton) (19011 519781101)