On the basis of gene expression profiling, the laboratory proposed that the most common form of lymphoma, diffuse large B cell lymphoma (DLBCL), is a composite of three molecularly distinct diseases that are indistinguishable by standard diagnostic methods. These diseases, termed germinal center B cell-like (GCB) DLBCL, activated B cell-like (ABC) DLBCL, and primary mediastinal B cell lymphoma (PMBL), arise from B lymphocytes at different stages of differentiation by distinct oncogenic pathways. The curative response of patients with DLBCL to chemotherapy is highly variable, and the DLBCL subtype distinction accounts, in part, for this heterogeneity. With CHOP multi-agent chemotherapy, the 5-year survival rates of ABC DLBCL and GCB DLBCL are 60% and 30%, respectively. This clinical disparity likely reflects the host of genetic differences between these DLBCL subtypes. A recurring theme that emerges from our molecular profiling efforts in lymphoma is that the curative response to treatment and the length of survival following diagnosis are dictated by molecular features of the tumors at diagnosis. In DLBCL, we developed a multivariate model of therapeutic outcome based on gene expression signatures, which quantitatively reflected distinct aspects of tumor biology. This study was performed in the era of CHOP chemotherapy for DLBCL, which has subsequently been supplanted by regimens that add the anti-CD20 monoclonal antibody Rituximab (R-CHOP). Since R-CHOP improves survival in DLBCL by 10-15% compared with CHOP, it was important to investigate whether our previously identified prognostic gene expression signatures were still applicable. We therefore profiled gene expression in 233 pre-treatment biopsy samples from patients with DLBCL treated with R-CHOP as well as in 181 biopsies from CHOP-treated patients. We initially demonstrated that the distinction between the ABC and GCB DLBCL subtypes remained prognostically significant in R-CHOP-treated cases, with each subtype benefiting equivalently from the addition of Rituximab. In fact, 3 of the 4 gene expression signatures that were associated with survival in the CHOP cohort retained their prognostic significances in the R-CHOP cohort. This suggested that several aspects of tumor biology that influence the curative response to therapy remain important after the addition of Rituximab. We therefore constructed an optimal survival model based on gene expression signatures identified using the CHOP-treated cohort and then tested the model in the R-CHOP-treated cohort. The final model consisted of three signatures, termed germinal center B cell, stromal-1, and stromal-2. The model was strongly associated with both overall and progression-free survival in the CHOP and R-CHOP cohorts as well as in a third CHOP cohort for which gene expression profiling data were available. The gene expression-based survival model could divide the patients in the R-CHOP cohort into quartile groups that had 3-year progression-free survival rates of 84%, 69%, 61% and 34%, respectively, indicating that the model captures much of the heterogeneity in therapeutic response. Remaining heterogeneity could be ascribed to clinical factors in the International Prognostic Index, which were statistically independent from the prognostic gene expression signatures in predicting survival. An important feature of this study was our ability to associate the prognostic gene expression signatures with particular aspects of tumor biology. The germinal center B cell signature mirrored the distinction between GCB and ABC DLBCL and therefore reflects the myriad genetic and epigenetic differences that exist between these two subtypes. On the other hand, the stromal-1 and stromal-2 signatures reflected different aspects of the tumor microenvironment. The stromal-1 signature, which was associated with favorable outcome, identified tumors that were fibrotic and rich in histiocytic cells of the myeloid lineage. The stromal-2 signature, which was associated with poor outcome, included a host of genes that are characteristically expressed in endothelial cells and was correlated with increased tumor blood vessel density, revealing an unanticipated role for angiogenesis in DLBCL. Array-based comparative genomic hybridization was used to identify genomic changes in copy number that influenced survival. Two genomic alterations that occurred exclusively in ABC DLBCL were deletion of the INK4a/ARF tumor suppressor locus and trisomy 3. These genetic aberrations, considered separately and together, identified a subset of patients with ABC DLBCL with inferior prognosis relative to other patients with this DLBCL subtype. This ABC DLBCL subset was also characterized by oncogenic mutations that activate various survival signaling pathways. These include mutations in the CARD11 gene, which encodes a scaffold molecule required for NF-kB signaling downstream of the B cell receptor. Mutations in the B cell receptor components CD79A and CD79B potentiate ongoing B cell receptor signaling. Mutations in the signaling adapter MYD88 create spontaneously active isoforms. Each of these mutations contribute to constitutive NF-kB activity in ABC DLBCLs in which they have been acquired. We are currently investigating several platforms to deliver the molecular diagnostic and prognostic distinction to patients with lymphoma. The goal is to utilize formalin-fixed and paraffin-embedded tissue for these analyses since most lymphoma biopsies are routinely stored in this fashion. The Nanostring platform for digital gene expression analysis has proved highly effective in distinguishing ABC and GCB DLBCL. This technology has been licensed by Nanostring and is currently being used to develop a companion diagnostic for the use of lenalidomide to treat ABC DLBCL. Most recently, we have been conducting genomic analysis of patients enrolled in therapeutic clinical trials. In a phase 2 trial of ibrutinib in relapsed/refractory DLBCL, we used gene expression profiling to subdivide the cases into ABC and GCB subtypes. The response rate in ABC DLBCL was significantly greater than in GCB DLBCL (37% vs. 5%), as predicted by our laboratory studies showing addiction to chronic active B cell receptor (BCR) signaling and ibrutinib sensitivity in cell line models of ABC DLBCL. Analysis of recurrent mutations in ABC DLBCL revealed a higher response rate in tumors with mutations affecting the BCR subunit CD79B and especially in tumors with both CD79B and MYD88 mutations. This suggests that ABC DLBCL can be usefully subdivided further based on genetic abnormalities in order to predict response to targeted agents.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIABC011006-09
Application #
9343768
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
9
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Karube, K; Enjuanes, A; Dlouhy, I et al. (2018) Integrating genomic alterations in diffuse large B-cell lymphoma identifies new relevant pathways and potential therapeutic targets. Leukemia 32:675-684
Schmitz, Roland; Wright, George W; Huang, Da Wei et al. (2018) Genetics and Pathogenesis of Diffuse Large B-Cell Lymphoma. N Engl J Med 378:1396-1407
Bouska, A; Zhang, W; Gong, Q et al. (2017) Combined copy number and mutation analysis identifies oncogenic pathways associated with transformation of follicular lymphoma. Leukemia 31:83-91
Bouska, Alyssa; Bi, Chengfeng; Lone, Waseem et al. (2017) Adult high-grade B-cell lymphoma with Burkitt lymphoma signature: genomic features and potential therapeutic targets. Blood 130:1819-1831
Jais, Jean-Philippe; Molina, Thierry Jo; Ruminy, Philippe et al. (2017) Reliable subtype classification of diffuse large B-cell lymphoma samples from GELA LNH2003 trials using the Lymph2Cx gene expression assay. Haematologica 102:e404-e406
Scott, David W; Abrisqueta, Pau; Wright, George W et al. (2017) New Molecular Assay for the Proliferation Signature in Mantle Cell Lymphoma Applicable to Formalin-Fixed Paraffin-Embedded Biopsies. J Clin Oncol 35:1668-1677
Rohr, J; Guo, S; Huo, J et al. (2016) Recurrent activating mutations of CD28 in peripheral T-cell lymphomas. Leukemia 30:1062-70
Malecka, Agnieszka; Tierens, Anne; Østlie, Ingunn et al. (2015) Primary diffuse large B cell lymphoma associated with Clonally-related monoclonal B lymphocytosis indicates a common precursor cell. Haematologica :
Küçük, Can; Jiang, Bei; Hu, Xiaozhou et al. (2015) Activating mutations of STAT5B and STAT3 in lymphomas derived from ??-T or NK cells. Nat Commun 6:6025
Scott, David W; Mottok, Anja; Ennishi, Daisuke et al. (2015) Prognostic Significance of Diffuse Large B-Cell Lymphoma Cell of Origin Determined by Digital Gene Expression in Formalin-Fixed Paraffin-Embedded Tissue Biopsies. J Clin Oncol 33:2848-56

Showing the most recent 10 out of 41 publications