Complex Structural Variation Associated with Enhancer Hijacking and Loss of Tumor Suppressors in Mantle Cell Lymphoma
Notice bibliographique
Résumé
Abstract Mantle cell lymphoma (MCL) is a rare, incurable mature B-cell lymphoma that can have either an aggressive or indolent clinical course. The hallmark aberration of MCL is the t(11;14)(q13;q32) translocation that places CCND1 under control of the immunoglobulin heavy chain (IGH) locus resulting in its constitutive expression. CCND1/IGH translocation occurs in nearly all MCL cases and arises during VDJ recombination. Whole genome sequencing (WGS) of MCLs has shown the prevalence of additional structural variations (SV), particularly in tumors with poor outcome. Complex rearrangements, such as chromothripsis and chromoplexy have been observed in MCL but their role in lymphomagenesis has not been determined. We hypothesized that some of these complex rearrangements afford a selective advantage to the tumor by disrupting tumor suppressor genes or by placing oncogenes in proximity to regulatory elements in cis, thereby resulting in ectopic expression. We performed WGS on tumor DNA extracted from 106 RCHOP-treated MCL patients. Matching ribosomal-depleted RNA-seq data was available for all tumor samples. Gene expression count values were obtained using Salmon and counts were normalized using the DESeq2 method. Structural variants were identified using a consensus between GRIDSS and Manta and these were analyzed to identify the topology of complex rearrangements using JaBbA. This allows the annotation of rearrangements such as chromothripsis and chromoplexy and enables the detection of genes near new regulatory elements through complex (multi-breakpoint) rearrangements. We supplemented this analysis by including 57 published classical and non-nodal leukemic MCL genomes. Chromothripsis and chromoplexy were observed in 8 and 12 tumors, respectively. The majority of the genomes were associated with isolated structural variations such as large deletions, inversions and reciprocal translocations were more common. Six genes (BCL10, TRAF6, TRAF3, MAP3K7, BTK, RELB) coding for canonical and non-canonical NFκB signaling proteins were found rearranged to within 1Mbp of a naïve B-cell super-enhancer region. The TRAF6 rearrangement was part of a chromothripsis and chromoplexy event involving both chr9 and chr11. A separate chromothripsis example involving chr1 placed each of BCL10 and NOTCH2 within 100-200kbp of super-enhancers. A 1Mbp region containing RELB was amplified and inserted into chr19p approximately 150kbp downstream a super-enhancer. An 800kbp deletion brought MAP3K7 to within 400kbp of a super-enhancer. DAZAP1, a gene known to be recurrently mutated in MCL, was translocated upstream to within 300kbp of a super-enhancer by t(5;19)(p13.3;p15.33). TRAF3 was translocated 400kbp upstream a super-enhancer by t(14;20)(q32.32;q13.13). None of the aforementioned SVs were associated with a detectable increase in expression of the affected gene. In contrast, we identified one genome in which the MYC oncogene was relocated 500kbp upstream of a super-enhancer via an unbalanced t(4;8)(q21.23;q24.21) translocation. In this case, MYC expression was in the 95 th percentile of MYC expression across the cohort. Focal deletions and amplifications were also found affecting lymphoma driver genes. Focal amplifications affecting 3q (34 tumors) and 5p (9 tumors), were among the most common recurrent events. These respectively affect the TERC and TERT genes, both involved in telomerase function. All tumors with TERT amplifications also showed TERC amplifications. TERC and TERT were expressed higher on average in amplified tumors than in unamplified tumors. Two tumors showed focal deletions affecting the 3' end of BIRC3. The focal deletion in one tumor was found to span to the 3' end of BIRC2 resulting in a BIRC2/BIRC3 fusion. Aberrant splicing across the two genes was evident in matching tumor RNA-seq data. Complex rearrangements in MCL have been found to link distant super-enhancer elements with a variety of lymphoma oncogenes. We noted a recurrence of such events affecting known regulators of NFκB signaling. We are using nanopore-based long-read PromethION sequencing to validate the structure of the derivative chromosome in these cases. Although these genes were not detectably overexpressed, deregulation of genes may be occurring by other means. The full extent of deregulation of NFκB and other oncogenic pathways will be revealed as complex rearrangements are studied in additional MCL tumors. Disclosures Coyle: Allakos, Inc.: Consultancy. Melnick: Epizyme: Consultancy; Daiichi Sankyo: Research Funding; Sanofi: Research Funding; Janssen Pharmaceuticals: Research Funding; Constellation: Consultancy; KDAC Pharma: Membership on an entity's Board of Directors or advisory committees. Scott: BC Cancer: Patents & Royalties: Patent describing assigning DLBCL COO by gene expression profiling--licensed to NanoString Technologies. Patent describing measuring the proliferation signature in MCL using gene expression profiling. ; AstraZeneca: Consultancy; Abbvie: Consultancy; NanoString Technologies: Patents & Royalties: Patent describing measuring the proliferation signature in MCL using gene expression profiling.; Rich/Genentech: Research Funding; Celgene: Consultancy; Incyte: Consultancy; Janssen: Consultancy, Research Funding. Morin: Epizyme: Patents & Royalties; Celgene: Consultancy; Foundation for Burkitt Lymphoma Research: Membership on an entity's Board of Directors or advisory committees.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».