Dataset Information

Whole Exome Sequencing of Diffuse Large B-Cell Lymphoma

ABSTRACT:

Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is a clinically and genetically heterogenous disease that is further classified into transcriptionally defined activated B-cell (ABC) and germinal center B-cell (GCB) subtypes. Here, we describe a comprehensive genetic analysis of DLBCLs that identifies low-frequency alterations, captures recurrent mutations, copy number alterations (CNAs) and structural variants (SVs) and characterizes coordinate genetic signatures in 304 primary DLBCLs with available outcome data. We integrated these genetic drivers using consensus clustering and identified 5 robust DLBCL subsets, including a previously unrecognized group of low-risk ABC-DLBCLs of extrafollicular/marginal zone origin; 2 distinct subsets of GCB-DLBCLs with different outcomes and targetable alterations; and an ABC/GCB-independent group with biallelic inactivation of TP53, CDKN2A loss and associated genomic instability. The genetic features of the newly identified subsets, their mutational signatures and the temporal ordering of identified alterations provide new insights into DLBCL pathogenesis. The coordinate genetic signatures also predict outcome independent of the clinical International Prognostic Index and suggest new combination treatment strategies. More broadly, these studies provide a roadmap for an actionable DLBCL classification.

PROVIDER: phs000450 | dbGaP |

SECONDARY ACCESSION(S): PRJNA82623PRJNA82621

REPOSITORIES: dbGaP

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Dataset's files

Source:

			Action	DRS
	GapExchange_phs000450.v1.p1.xml	Xml
	dbGaPEx2.1.5.xsd	Other
	Study_Report.phs000450.DLBCL_Golub.v1.p1.MULTI.pdf	Pdf
	manifest_phs000450.DLBCL_Golub.v1.p1.c1.NPU.pdf	Pdf
	manifest_phs000450.DLBCL_Golub.v1.p1.c2.BLDO.pdf	Pdf

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Project description:A better understanding of the pathogenesis of diffuse large B-cell lymphoma (DLBCL) has clarified its relationship to normal B-cells, pointed to distinct mechanisms of cell transformation, and facilitated the design of novel treatments. However, these data derive from mRNA genes studies, whereas genome-wide integrative investigations of the role of microRNAs (miRNAs) in DLBCL are still unavailable. We used array-CGH and microarray-based expression analyses to map the abnormalities targeting miRNAs in DLBCLs (n=86). Using training and validation DLBCL cohorts, we defined a collection of miRNAs that robustly segregates these tumors in three unique subsets. This miRNA-driven substructure appears to influence disease outcome, is independent of other mRNA-based DLBCL classifications, and stems from copy number changes targeting the miRNA genome, MYC activity, and the miRNA fingerprints of mature normal B-cells. Our data have uncovered clinically relevant additional molecular complexity in DLBCL and have established a blueprint for the detailed characterizations of miRNAs that are pertinent to B-cell lymphoma biology. Fifty-nine primary DLBCL samples obtained from our Cancer Center tumor bank and 27 cell lines (26 DLBCL and 1 mediastinal B-cell lymphoma) were included in this study for copy number analysis. The clinical and pathological features of this collection are described in the paper. All tumors were reviewed for diagnostic accuracy by a hematopathologist (R.R.) and the categorization in germinal center B-cell-like (GCB) or non-germinal center B-cell-like (non-GCB) was performed according to the algorithm described by Hans et al. The extent of normal cells infiltration in the DLBCL was determined by semi-quantitative measurement of CD3 (T-cells) and CD68 (macrophages) staining. Four normal control hybridizations are also included. Even though we started off with 90 samples total, we inspected the sample quality visually according the log2 ratio curves and excluded 13 samples with noisy or very low signals throughout the genome. The 77 remaining samples were used in the following analyses.

Dataset Information

Whole Exome Sequencing of Diffuse Large B-Cell Lymphoma

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