Signatures of biological heterogeneity associated with treatment outcome in diffuse large B-cell lymphoma.

7063 Background: Genetic subtypes of diffuse large B-cell lymphoma (DLBCL) capture biological differences between tumors that influence the response to immunochemotherapy (Schmitz et al., NEJM 2018). However, nearly 40% of DLBCL cases remain unclassified. The addition of gene expression signatures can accelerate classification and inform therapeutic intervention. Methods: We generated single-cell RNA sequencing of 103 DLBCL patient biopsies from Weill Cornell Medicine, New York Presbyterian Hospital, and the National Institutes of Health. We also utilized bulk genomic data from a discovery cohort (n=311, Ennishi et al., J Clin Oncol 2019) and a validation cohort (n=574, Schmitz et al., NEJM 2018). Results: Single cell sequencing allowed us to isolate the malignant B cells and develop genetic subtype signatures. The MCD signature was associated with poor overall survival (p<10 -6 ), as was the BN2 signature within ABC tumors (p<10 -3 ). When applied to unclassified tumors, the subtype signatures identified characteristic genetic alterations including SLC1A5 mutations in MCD (p<10 -5 ), UBE2A mutations in BN2 (p<10 -13 ), C10orf12 truncations and copy number loss in EZB (p<10 -6 ), and SGK1 mutations in ST2 (p<10 -7 ). Moreover, we discovered that most DLBCL tumors (80%) contained two or more genetic subclones (median 2, range 1-5) based on DNA copy number differences. The genetic subclones had distinct phenotypes based on expression of six recurrent gene expression meta-signatures, herein termed themes. The germinal center (GC) B cell, memory B cell, plasma cell, and pan-B cell themes reflect B cell differentiation whereas two other themes – cell cycle and cell growth – reflect proliferative and metabolic states that are independent of the differentiation states. Surprisingly, 23% of DLBCL (24/103) harbored genetic subclones expressing B cell differentiation themes that distinguished them from other malignant cells in the same tumor. The GC B cell theme was associated with a favorable response to R-CHOP chemotherapy (p<0.02), as expected, while the cell growth theme (but not the cell cycle theme) was associated with adverse survival (p<0.02). Conclusions: Our study revealed that genetic subtypes have distinct gene expression signatures. We further demonstrated a role for tumor subclones in generating intra-tumoral biological diversity. We developed signatures of inter and intra-tumoral heterogeneity that are associated with overall survival.

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Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.7063
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Signatures of biological heterogeneity associated with treatment outcome in diffuse large B-cell lymphoma.

Louis M. Staudt, B Wang, George Wright, Julius Enssle et al.
Journal of Clinical Oncology
Lymphoma Diagnosis and Treatment
article

Signatures of biological heterogeneity associated with treatment outcome in diffuse large B-cell lymphoma.

Louis M. Staudt, B Wang, George Wright, Julius Enssle, Giorgio Inghirami, Thomas Oellerich, James D. Phelan, Yandan Yang
article en

Abstract

7063 Background: Genetic subtypes of diffuse large B-cell lymphoma (DLBCL) capture biological differences between tumors that influence the response to immunochemotherapy (Schmitz et al., NEJM 2018). However, nearly 40% of DLBCL cases remain unclassified. The addition of gene expression signatures can accelerate classification and inform therapeutic intervention. Methods: We generated single-cell RNA sequencing of 103 DLBCL patient biopsies from Weill Cornell Medicine, New York Presbyterian Hospital, and the National Institutes of Health. We also utilized bulk genomic data from a discovery cohort (n=311, Ennishi et al., J Clin Oncol 2019) and a validation cohort (n=574, Schmitz et al., NEJM 2018). Results: Single cell sequencing allowed us to isolate the malignant B cells and develop genetic subtype signatures. The MCD signature was associated with poor overall survival (p<10 -6 ), as was the BN2 signature within ABC tumors (p<10 -3 ). When applied to unclassified tumors, the subtype signatures identified characteristic genetic alterations including SLC1A5 mutations in MCD (p<10 -5 ), UBE2A mutations in BN2 (p<10 -13 ), C10orf12 truncations and copy number loss in EZB (p<10 -6 ), and SGK1 mutations in ST2 (p<10 -7 ). Moreover, we discovered that most DLBCL tumors (80%) contained two or more genetic subclones (median 2, range 1-5) based on DNA copy number differences. The genetic subclones had distinct phenotypes based on expression of six recurrent gene expression meta-signatures, herein termed themes. The germinal center (GC) B cell, memory B cell, plasma cell, and pan-B cell themes reflect B cell differentiation whereas two other themes – cell cycle and cell growth – reflect proliferative and metabolic states that are independent of the differentiation states. Surprisingly, 23% of DLBCL (24/103) harbored genetic subclones expressing B cell differentiation themes that distinguished them from other malignant cells in the same tumor. The GC B cell theme was associated with a favorable response to R-CHOP chemotherapy (p<0.02), as expected, while the cell growth theme (but not the cell cycle theme) was associated with adverse survival (p<0.02). Conclusions: Our study revealed that genetic subtypes have distinct gene expression signatures. We further demonstrated a role for tumor subclones in generating intra-tumoral biological diversity. We developed signatures of inter and intra-tumoral heterogeneity that are associated with overall survival.

Journal of Clinical OncologyVol. 44(16_suppl)
Goethe University Frankfurt (DE), National Institutes of Health (US), Cornell University (US), National Cancer Institute (US), Center for Cancer Research (US), Weill Cornell Medicine (US)
National Institutes of Health
No poverty
Openalex Percentile: Top 7%
Lymphoma Diagnosis and Treatment
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