ID
45147
Description
Principal Investigator: Riccardo Dalla-Favera, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA MeSH: Lymphoma, Follicular,Lymphoma, Non-Hodgkin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000328 *Version 1.* Diffuse Large B-cell Lymphoma (DLBCL) represents the most common form of B-cell non-Hodgkin Lymphoma (B-NHL), accounting for ~30% of the *de novo* diagnoses and also arising as a frequent clinical evolution of Follicular Lymphoma (FL). The molecular pathogenesis of DLBCL is associated with multiple genetic lesions that in part distinctly segregate with individual phenotypic subtypes, suggesting the involvement of distinct oncogenic pathways. However, the lesions identified so far likely represent only a fraction of those necessary for malignant transformation. In order to characterize the entire set of structural alterations present in the DLBCL genome, we have integrated next generation whole exome sequencing analysis of 6 DLBCL cases and genome-wide high-density SNP array analysis of 72 DLBCL cases. We report here that FL and DLBCL harbor frequent structural alterations inactivating *CREBBP* and, more rarely, *EP300*, two highly related histone and non-histone acetyltransferases (HATs) that act as transcriptional co-activators in multiple signaling pathways. Overall, ~37% of DLBCL and 36% of FL cases display genomic deletions and/or somatic point mutations that remove or inactivate the HAT coding domain of these two genes. These lesions commonly affect a single allele, suggesting that reduction in HAT dosage is important for lymphomagenesis. We demonstrate specific defects in the acetylation-mediated inactivation of the BCL6 oncoprotein and activation of the p53 tumor suppressor. These results identify *CREBBP/EP300* mutations as a major pathogenic mechanism shared by common forms of B-NHL, and have direct implications for the use of drugs targeting acetylation/deacetylation mechanisms. *Version 2.* Follicular lymphoma (FL) is an indolent, but incurable disease that, in 30-40% of cases, undergoes transformation to an aggressive diffuse large B cell lymphoma (DLBCL). The history of clonal evolution and the mechanisms that underlie transformation to DLBCL (tFL) remain largely unknown. Using whole exome sequencing and copy number analysis of 39 tFL patients, including 12 with paired sequential FL/tFL biopsies, we show that, in most cases, FL and tFL arise by divergent evolution from a common mutated precursor cell through the acquisition of distinct genetic lesions. Mutations in epigenetic modifiers (e.g., *MLL2, CREBBP, EZH2, ARID1A*) and anti-apoptotic genes (*BCL2, FAS*) were observed in 93% (36/39) and 78% (30/39) of cases, respectively, and were invariably shared between the two disease phases, suggesting an early acquisition in the common mutated precursor. Conversely, the development of tFL is associated with deregulation of genes involved in the control of cell proliferation, cell cycle progression and DNA damage responses (*CDKN2A/2B, MYC, TP53*), as well as with an aberrant activity of the somatic hypermutation mechanism. Finally, we show that the genomic profile of tFL shares significant similarities with that of germinal center B-cell type *de novo* DLBCL, but also displays unique combinations of altered genes that may explain the dismal clinical course of tFL. *Version 3. *This version includes thirty-five additional de novo DLBCL samples, newly diagnosed, and their paired normal DNA from previously untreated patients, which were analyzed by whole exome sequencing (n=27T and 25N), whole genome sequencing (8T and 10N), and/or targeted HLA-next generation sequencing (n=26T/N pairs) in order to identify genetic alterations associated with loss of surface MHC-II expression.
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Versions (2)
- 2022-09-20 2022-09-20 - Simon Heim
- 2022-10-12 2022-10-12 - Adrian Schulz
Copyright Holder
Riccardo Dalla-Favera, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
Uploaded on
12 oktober 2022
DOI
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License
Creative Commons BY 4.0
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dbGaP phs000328 Genome-Wide Analysis of Diffuse Large B-Cell Lymphoma (De Novo and Derived from the High Grade Transformation of Follicular Lymphoma)
This sample attributes data table includes tumor status, analyte type, body site where sample was collected, histological type, data type, and if sample has SNP6 genotype data.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent information, and subject's biological sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes data table includes tumor status, analyte type, body site where sample was collected, histological type, data type, and if sample has SNP6 genotype data.
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This sample attributes data table includes tumor status, analyte type, body site where sample was collected, histological type, data type, and if sample has SNP6 genotype data.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent information, and subject's biological sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes data table includes tumor status, analyte type, body site where sample was collected, histological type, data type, and if sample has SNP6 genotype data.
C0333562 (UMLS CUI [1,2])
C1511726 (UMLS CUI [1,3])
C0370003 (UMLS CUI [1,4])
C0017431 (UMLS CUI [1,2])
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