Immunoglobulin Heavy Chain Locus Research Articles

Genotyping and Copy Number Analysis of Immunoglobin Heavy Chain Variable Genes Using Long Reads.

SummaryOne of the remaining challenges to describing an individual's genetic variation lies in the highly heterogeneous and complex genomic regions that impede the use of classical reference-guided mapping and assembly approaches. Once such region is the Immunoglobulin heavy chain locus (IGH), which is critical for the development of antibodies and the adaptive immune system. We describe ImmunoTyper, the first PacBio-based genotyping and copy number calling tool specifically designed for IGH V genes (IGHV). We demonstrate that ImmunoTyper's multi-stage clustering and combinatorial optimization approach represents the most comprehensive IGHV genotyping approach published to date, through validation using gold-standard IGH reference sequence. This preliminary work establishes the feasibility of fine-grained genotype and copy number analysis using error-prone long reads in complex multi-gene loci and opens the door for in-depth investigation into IGHV heterogeneity using accessible and increasingly common whole-genome sequence.

Eμ and 3′RR transcriptional enhancers of the IgH locus cooperate to promote c-myc–induced mature B-cell lymphomas

AbstractNumerous B-cell lymphomas feature translocations linking oncogenes to different locations in the immunoglobulin heavy chain (IgH) locus. During Burkitt lymphoma (BL), IgH breakpoints for c-myc translocation stand either close to JH segments or within switch regions. Transcription, accessibility, and remodeling of the IgH locus are under the control of the 2 potent cis-acting enhancer elements: Eμ and the 3′ regulatory region (3′RR). To ensure their respective contributions to oncogene deregulation in the context of the endogenous IgH locus, we studied transgenic mice harboring a knock-in of c-myc in various positions of the IgH locus (3′ to JH segments, 5′ to Cμ with Eμ deletion and Cα). The observed spectrum of tumors, kinetics of emergence, and transcriptome analysis provide strong evidence that both Eμ and 3′RR deregulate c-myc and cooperate together to promote B-cell lymphomagenesis. Transgenics mimicking endemic BL (with c-myc placed 3′ to JH segments) exhibited the highest rate of B-cell lymphoma emergence, the highest Ki67 index of proliferation, and the highest transcriptomic similarities to human BL. The 3′RR enhancer alone deregulated c-myc and initiated the development of BL-like lymphomas, suggesting that its targeting would be of therapeutic interest to reduce c-myc oncogenicity in vivo.

IL-7R Signalling Activates Widespread V <sub>H</sub> and D <sub>H</sub> Gene Usage to Drive Antibody Diversity in Bone Marrow B Cells

Generation of the primary antibody repertoire requires V(D)J recombination of hundreds of gene segments in the immunoglobulin heavy chain (Igh) locus. It has been proposed that interleukin-7 receptor (IL-7R) signalling is necessary for Igh recombination, but this has been challenging to partition from the receptor’s role in B cell survival and proliferation. By generating the first detailed description of the Igh repertoire of murine IL-7Rα-/- bone marrow B cells, we demonstrate that IL-7R signalling profoundly influences VH gene selection during VH-to-DJH recombination. We find skewing towards usage of 3’ VH genes during de novo VH-to-DJH recombination that is more severe than the fetal liver (FL) B cell repertoire, and we now show a role for IL-7R signalling in DH-to-JH recombination. Transcriptome and accessibility analyses suggests reduced expression of B lineage-specific transcription factors (TFs) and their targets, and loss of DH and VH antisense transcription in IL-7Rα-/- B cells. These results refute models suggesting that IL-7R signalling is only required for survival and proliferation, and demonstrate a pivotal role in shaping the Igh repertoire by activating underpinning epigenetic mechanisms.

A Proposed New Nomenclature for the Immunoglobulin Genes of Mus musculus.

Mammalian immunoglobulin (IG) genes are found in complex loci that contain hundreds of highly similar pseudogenes, functional genes and repetitive elements, which has made their investigation particularly challenging. High-throughput sequencing has provided new avenues for the investigation of these loci, and has recently been applied to study the IG genes of important inbred mouse strains, revealing unexpected differences between their IG loci. This demonstrated that the structural differences are of such magnitude that they call into question the merits of the current mouse IG gene nomenclatures. Three nomenclatures for the mouse IG heavy chain locus (Igh) are presently in use, and they are all positional nomenclatures using the C57BL/6 genome reference sequence as their template. The continued use of these nomenclatures requires that genes of other inbred strains be confidently identified as allelic variants of C57BL/6 genes, but this is clearly impossible. The unusual breeding histories of inbred mouse strains mean that, regardless of the genetics of wild mice, no single ancestral origin for the IG loci exists for laboratory mice. Here we present a general discussion of the challenges this presents for any IG nomenclature. Furthermore, we describe principles that could be followed in the formulation of a solution to these challenges. Finally, we propose a non-positional nomenclature that accords with the guidelines of the International Mouse Nomenclature Committee, and outline strategies that can be adopted to meet the nomenclature challenges if three systems are to give way to a new one.

A review on tumor heterogeneity and evolution in multiple myeloma: pathological, radiological, molecular genetics, and clinical integration.

Recent research has dramatically advanced our understanding of the genetic basis of multiple myeloma (MM). MM displays enormous inter- and intratumoral heterogeneity, and underlies a clonal evolutionary process driven and shaped by diverse factors such as clonal competition, tumor microenvironment, host immunity, and therapy. Two main cytogenetic groups are distinguished: MM with recurrent translocations involving the immunoglobulin heavy chain locus and MM with hyperdiploidy involving the odd chromosomes. The disease virtually always starts with a preneoplastic prodromal phase-monoclonal gammopathy of undetermined significance-that variably progresses to symptomatic MM within a few months or many years. Tumor heterogeneity and its evolution in space and time have important consequences for the clinical management and outcome of MM patients. At diagnosis, spatial intratumoral heterogeneity poses a challenge for classification and risk stratification. During maintenance therapy, clonal evolution may complicate disease monitoring and promote drug resistance. Upon progression or transformation, identifying the dominant disease-driving neoplastic clones and elucidating their properties are key to tailor personalized therapy. In this review, we discuss tumor heterogeneity and clonal evolution in MM, integrating pathological, radiological, molecular genetics, and clinical data. Current and prospective classification schemes and prognostic parameters, incorporating new genetic and proteomic discoveries and advances in imaging, are highlighted. In addition, the roles of the tumor microenvironment, host immunity, and resistance mutations, and their effects on therapy, are discussed. An improved understanding of high-risk disease, tumor heterogeneity, and clonal evolution will guide future therapies and may ultimately lead towards a cure for MM.

Essential role of the initial activation signal in isotype selection upon deletion of a transcriptionally committed promoter

Class switch recombination (CSR), which targets exclusively the constant region of the immunoglobulin heavy chain (IgH) locus, plays an important role in humoral immunity by generating different antibody effector functions. The IgH constant locus contains multiple genes controlled by isotype (I) promoters induced by extracellular signals that activate specific I promoters, leading to B cell commitment. However, it is unknown whether after initial commitment to one promoter, non-responsive I promoters are irreversibly silent or if they can be activated after exposure to their specific inducers. Here, we studied the murine cell line CH12, which is committed to produce IgA in response to TGF-β. We show that, although other promoters than Iα are transcriptionally inactive, they are not irreversibly silent. Following deletion of the committed Iα promoter by CRISPR/Cas9, other I promoters display a complex transcriptional pattern largely dependent on the initial committing signal.

Clinical and Prognostic Impact of (11;14)(q13;q32) Translocation on Patients with Multiple Myeloma

Introduction. Translocations involving chromosome 14 at band q32, the immunoglobulin heavy chain (IgH) locus, are considered to be the most important initiating events for the development of multiple myeloma (MM). Among the IgH translocations in MM, t(11;14)(q13;q32) is the most frequently reported, and associated with a lymphoplasmacytic morphology. This translocation have been traditionally considered as standard-risk chromosomal abnormality compared to other translocations such as t(4;14) or t(14;16), although some controversies on the prognostic impact of this translocation still remain. This study aimed to clarify the clinical and prognostic impact of t(11;14) in Japanese patients in relation to other clinical variables such as immunophenotype of the tumor cells, other cytogenetic abnormalities, and use of stem cell transplantation (SCT). Patients and methods. Among the 244 consecutive patients with newly diagnosed MM, treated at Kameda Medical Center between April 2009 and July 2019, 234 patients, having cytogenetic analysis data (including t(11;14), t(4;14), t(14;16), and del(17p) by interphase fluorescence in situ hybridization (iFISH)) fully available, were included in this study. Data regarding the patients' clinical and laboratory characteristics, including the International Staging System (ISS), immunophenotype of the tumor cells, baseline circulating plasma cells (CPCs), treatment responses, disease progression, and survival status, were collected. iFISH was performed with CD138-purified bone marrow plasma cells, and the cut off values for translocation were ≥ 10% and for del(17p) ≥ 20%. Using multicolor flow cytometry, surface marker analysis of bone marrow samples and quantification of pre-treatment CPCs on peripheral blood mononuclear cells were simultaneously performed. CPCs were reported as the percentage of total mononuclear cells. Patients were considered to be negative for clonal CPCs at a sensitivity of 10−4 (0.01%) clonal plasma cells for all events evaluated. Results. The incidence of patients harboring t(11;14) was 24.4% (n = 57); t(11;14) was detected significantly high in light-chain-only subtypes (P < 0.001). We compared clinical characteristics of patients carrying t(11;14) with others. Myeloma cells with t(11;14) were associated with negative expression of CD56 (P < 0.001), CD117 (P = 0.046), and CD200 (P = 0.006), and positive expression of CD20 (P = 0.01) and CD81 (P = 0.035). Patients with t(11;14) were associated with positive CPCs (P = 0.011). In order to focus on the impact of t(11;14), we divided the patients into 4 groups: (A) no specific cytogenetic abnormality listed above (n = 137), (B) t(11;14) group (n = 57), (C) t(4;14) or t(14;16) group (n = 29), and (D) del(17p) only (n = 10), and the clinical characteristics and survival of the patients were compared across the three groups (A), (B), and (C). Almost all the patients (> 95%) in this cohort received bortezomib-based therapy. Median progression-free survival (PFS) and overall survival (OS) of patients in (A), (B), and (C) groups were 55.6, 34.2, and 30.2 months (m) (A vs. B, P = 0.036, and A vs. C, P = 0.031), and not reached, 51.2, and 79.8 m (A vs. B, P = 0.11, and A vs. C, P = 1.00), respectively. However, patients harboring t(11;14) were further divided into CD20-positive and -negative groups, the latter having poor prognosis (36.1 vs. 26.7, P = 1.0 for median PFS, and not reached vs. 44.2, P = 0.029 for median OS). Compared to other groups, patients without CD20 expression had significantly shorter OS (vs. A, vs. B, P = 0.024, 0.035, respectively), whereas those with CD20 expression tended to have longer OS, without statistical significance (Figure 1).Univariate analysis revealed ISS stage III, creatinine > 2.0 mg/dL, use of SCT, t(11;14) without CD20 expression, and age ≥ 70 years to be associated with shorter OS, whereas multivariate analysis demonstrated ISS stage III, use of SCT, and t(11;14) without expression CD20 (HR 1.88; 95% CI 1.10-3.21; P = 0.021) to be independent prognostic factors for poor OS. Conclusions. Our findings demonstrated that patients harboring t(11;14) had distinct clinical and immunophenotypic characteristics, two subsets of the disease entities with a clearly different survival according to CD20 expression. Disclosures Matsue: Ono Pharmaceutical: Honoraria; Janssen Pharmaceutical K.K.: Honoraria; Novartis Pharma K.K: Honoraria; Celgene: Honoraria; Takeda Pharmaceutical Company Limited: Honoraria.

Developmental DNA Methylation Subtype Predicts Progression to Treatment and Survival in High-Count Monoclonal B Lymphocytosis

Developmental DNA Methylation Subtype Predicts Progression to Treatment and Survival in High-Count Monoclonal B Lymphocytosis

Crowdsourced High-Risk Classifiers for Multiple Myeloma Patients Commonly Identify PHF19 As a Robust Progression Biomarker

Multiple myeloma (MM) is a hematological malignancy of terminally differentiated plasma cells residing within the bone marrow with 25,000-30,000 patients diagnosed in the United States each year. The disease's clinical course depends on a complex interplay chromosomal abnormalities and mutations within plasma cells and patient socio-demographic factors. Novel treatments extended the time to disease progression and overall survival for the majority of patients. However, a subset of 15%-20% of MM patients exhibit an aggressive disease course with rapid disease progression and poor overall survival regardless of treatment. Accurately predicting which patients are at high-risk is critical to designing studies with a better understanding of myeloma progression and enabling the discovery of novel therapeutics that extend the progression free period of these patients. To date, most MM risk models use patient demographic data, clinical laboratory results and cytogenetic assays to predict clinical outcome. High-risk associated cytogenetic alterations include deletion of 17p or gain of 1q as well as t(14;16), t(14;20), and most commonly t(4,14), which leads to juxtaposition of MMSET with the immunoglobulin heavy chain locus promoter, resulting in overexpression of the MMSET oncogene. While cytogenetic assays, in particular fluorescence in situ hybridization (FISH), are widely available, their risk prediction is sub-optimal and recently developed gene expression based classifiers predict more accurately rapid progression. To investigate possible improvements to models of myeloma risk, we organized the Multiple Myeloma DREAM Challenge, focusing on predicting high-risk, defined as disease progression or death prior to 18 months from diagnosis. This effort combined 4 discovery datasets providing participants with clinical, cytogenetic, demographic and gene expression data to facilitate model development while retaining 4 additional datasets, whose clinical outcome was not publicly available, in order to benchmark submitted models. This crowd-sourced effort resulted in the unbiased assessment of 171 predictive algorithms on the validation dataset (N = 823 unique patient samples). Analysis of top performing methods identified high expression of PHF19, a histone methyltransferase, as the gene most strongly associated with disease progression, showing greater predictive power than the expression level of the putative high-risk gene MMSET. We show that a simple 4 feature model composed of age, stage and the gene expression of PHF19 and MMSET is as accurate as much larger published models composed of over 50 genes combined with ISS and age. Results from this work suggest that combination of gene expression and clinical data increases accuracy of high risk models which would improve patient selection in the clinic. Disclosures Towfic: Celgene Corporation: Employment, Equity Ownership. Dalton:MILLENNIUM PHARMACEUTICALS, INC.: Honoraria. Goldschmidt:Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; John-Hopkins University: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mundipharma: Research Funding; Amgen: Consultancy, Research Funding; Chugai: Honoraria, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Molecular Partners: Research Funding; MSD: Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Dietmar-Hopp-Stiftung: Research Funding; John-Hopkins University: Research Funding. Avet-Loiseau:takeda: Consultancy, Other: travel fees, lecture fees, Research Funding; celgene: Consultancy, Other: travel fees, lecture fees, Research Funding. Ortiz:Celgene Corporation: Employment, Equity Ownership. Trotter:Celgene Corporation: Employment, Equity Ownership. Dervan:Celgene: Employment. Flynt:Celgene Corporation: Employment, Equity Ownership. Dai:M2Gen: Employment. Bassett:Celgene: Employment, Equity Ownership. Sonneveld:SkylineDx: Research Funding; Takeda: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Honoraria; Amgen: Honoraria, Research Funding. Shain:Amgen: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; AbbVie: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Sanofi Genzyme: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy. Munshi:Abbvie: Consultancy; Takeda: Consultancy; Oncopep: Consultancy; Celgene: Consultancy; Adaptive: Consultancy; Amgen: Consultancy; Janssen: Consultancy. Morgan:Bristol-Myers Squibb, Celgene Corporation, Takeda: Consultancy, Honoraria; Celgene Corporation, Janssen: Research Funding; Amgen, Janssen, Takeda, Celgene Corporation: Other: Travel expenses. Walker:Celgene: Research Funding. Thakurta:Celgene: Employment, Equity Ownership.

Fundamental roles of chromatin loop extrusion in antibody class switching

Antibody class switch recombination (CSR) in B lymphocytes replaces immunoglobulin heavy chain locus (Igh) Cμconstant region exons (CHs) with one of 6 CHs lying 100-200kb downstream1. Each CH is flanked upstream by an I-promoter and long repetitive switch (S) region1. Cytokines/activators induce Activation-Induced Cytidine Deaminase (AID)2 and I-promoter transcription, with 3’IgH regulatory region (3’IgHRR) enhancers controlling the latter via I-promoter competition for long-range 3’IgHRR interactions3-8. Transcription through donor Sμ and an activated downstream acceptor S region targets AID-generated deamination lesions at, potentially, any of 100s of individual S region deamination motifs9-11. General DNA repair pathways convert these lesions to DSBs and join an Sμ upstream DSB-end to an acceptor S region downstream DSB-end for deletional CSR12. AID-initiated DSBs at targets spread across activated S regions routinely participate in such deletional CSR joining11. Here, we report that chromatin loop extrusion underlies the "unprecedented" mechanism11 by which IgH organization in cis promotes deletional CSR. In naive B cells, loop extrusion dynamically juxtaposes 3’IgHRR enhancers with the 200kb upstream Sμ to generate a CSR center ("CSRC"). In CSR-activated primary B cells, I-promoter transcription activates cohesin loading, leading to generation of dynamic sub-domains that directionally align a downstream S region with Sμ for deletional CSR. During constitutive Sα CSR in CH12F3 B lymphoma cells, inversional CSR can be activated by insertion of a CTCF-binding element (“CBE”)-based impediment in the extrusion path. CBE insertion also inactivates upstream S region CSR, while converting adjacent downstream sequences into an ectopic S region by, respectively, inhibiting or promoting their dynamic alignment with Sμ in the CSRC. Our findings suggest that, in a CSRC, dynamically impeded cohesin-mediated loop extrusion juxtaposes proper ends of AID-initiated donor and acceptor S region DSBs for deletional CSR. Such a mechanism might also contribute to pathogenic DSB joining genome-wide.

IgH translocations with undefined partners are associated with superior outcome in multiple myeloma patients

Multiple myeloma (MM) is a genetically complex and heterogeneous disease with multiple genomic events associated with tumor development and progression.Chromosomal translocations into the immunoglobulin heavy-chain (IgH) locus on 14q32 are the main primary events, occurring in about 50% of total MM cases.Currently, there are five main chromosomal translocation partners involving with immunoglobulin heavy-chain (IgH), including t(4;14), t(6;14), t(11;14), t(14;16) and t(14;20). However, IgH translocation with undefined partner genes can still be found in 15% of all newly-diagnosed MM (NDMM) patient, and little is known about their survival.

Genetics of rheumatic fever and rheumatic heart disease.

Rheumatic heart disease (RHD) is a complication of group A streptococcal infection that results from a complex interaction between the genetic make-up of the host, the infection itself and several other environmental factors, largely reflecting poverty. RHD is estimated to affect 33.4 million people and results in 10.5 million disability-adjusted life-years lost globally. The disease has long been considered heritable but still little is known about the host genetic factors that increase or reduce the risk of developing RHD. In the 1980s and 1990s, several reports linked the disease to the human leukocyte antigen (HLA) locus on chromosome 6, followed in the 2000s by reports implicating additional candidate regions elsewhere in the genome. Subsequently, the search for susceptibility loci has been reinvigorated by the use of genome-wide association studies (GWAS) through which millions of variants can be tested for association in thousands of individuals. Early findings implicate not only HLA, particularly the HLA-DQA1 to HLA-DQB1 region, but also the immunoglobulin heavy chain locus, including the IGHV4-61 gene segment, on chromosome 14. In this Review, we assess the emerging role of GWAS in assessing RHD, outlining both the advantages and disadvantages of this approach. We also highlight the potential use of large-scale, publicly available data and the value of international collaboration to facilitate comprehensive studies that produce findings that have implications for clinical practice.

Prognostic Significance of MYC Rearrangement and Translocation Partner in Diffuse Large B-Cell Lymphoma: A Study by the Lunenburg Lymphoma Biomarker Consortium.

MYC rearrangement (MYC-R) occurs in approximately 10% of diffuse large B-cell lymphomas (DLBCLs) and has been associated with poor prognosis in many studies. The impact of MYC-R on prognosis may be influenced by the MYC partner gene (immunoglobulin [IG] or a non-IG gene). We evaluated a large cohort of patients through the Lunenburg Lymphoma Biomarker Consortium to validate the prognostic significance of MYC-R (single-, double-, and triple-hit status) in DLBCL within the context of the MYC partner gene. The study cohort included patients with histologically confirmed DLBCL morphology derived from large prospective trials and patient registries in Europe and North America who were uniformly treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone therapy or the like. Fluorescence in situ hybridization for the MYC, BCL2, BCL6, and IG heavy and light chain loci was used, and results were correlated with clinical outcomes. A total of 5,117 patients were identified of whom 2,383 (47%) had biopsy material available to assess for MYC-R. MYC-R was present in 264 (11%) of 2,383 patients and was associated with a significantly shorter progression-free and overall survival, with a strong time-dependent effect within the first 24 months after diagnosis. The adverse prognostic impact of MYC-R was only evident in patients with a concurrent rearrangement of BCL2 and/or BCL6 and an IG partner (hazard ratio, 2.4; 95% CI, 1.6 to 3.6; P < .001). The negative prognostic impact of MYC-R in DLBCL is largely observed in patients with MYC double hit/triple-hit disease in which MYC is translocated to an IG partner, and this effect is restricted to the first 2 years after diagnosis. Our results suggest that diagnostic strategies should be adopted to identify this high-risk cohort, and risk-adjusted therapeutic approaches should be refined further.

The murine IgH locus contains a distinct DNA sequence motif for the chromatin regulatory factor CTCF

Antigen receptor assembly in lymphocytes involves stringently-regulated coordination of specific DNA rearrangement events across several large chromosomal domains. Previous studies indicate that transcription factors such as paired box 5 (PAX5), Yin Yang 1 (YY1), and CCCTC-binding factor (CTCF) play a role in regulating the accessibility of the antigen receptor loci to the V(D)J recombinase, which is required for these rearrangements. To gain clues about the role of CTCF binding at the murine immunoglobulin heavy chain (IgH) locus, we utilized a computational approach that identified 144 putative CTCF-binding sites within this locus. We found that these CTCF sites share a consensus motif distinct from other CTCF sites in the mouse genome. Additionally, we could divide these CTCF sites into three categories: intergenic sites remote from any coding element, upstream sites present within 8 kb of the VH-leader exon, and recombination signal sequence (RSS)-associated sites characteristically located at a fixed distance (∼18 bp) downstream of the RSS. We noted that the intergenic and upstream sites are located in the distal portion of the VH locus, whereas the RSS-associated sites are located in the DH-proximal region. Computational analysis indicated that the prevalence of CTCF-binding sites at the IgH locus is evolutionarily conserved. In all species analyzed, these sites exhibit a striking strand-orientation bias, with >98% of the murine sites being present in one orientation with respect to VH gene transcription. Electrophoretic mobility shift and enhancer-blocking assays and ChIP–chip analysis confirmed CTCF binding to these sites both in vitro and in vivo.

Convergent Evolution of Mucosal Immune Responses at the Buccal Cavity of Teleost Fish.

SummaryThe buccal mucosa (BM) is a critical first line of defense in terrestrial animals. To gain further insights into the evolutionary origins and primordial roles of BM in teleosts here we show that rainbow trout, a teleost fish, contains a diffuse mucosal associated lymphoid tissue (MALT) within its buccal cavity. Upon parasite infection, a fish immunoglobulin specialized in mucosal immunity (sIgT) was induced to a high degree, and parasite-specific sIgT responses were mainly detected in the buccal mucus. Moreover, we show that the trout buccal microbiota is prevalently coated with sIgT. Overall our findings revealed that the MALT is present in the BM of a non-tetrapod species. As fish IgT and mucus-producing cells are evolutionarily unrelated to mammalian IgA and salivary glands, respectively, our findings indicate that mucosal immune responses in the BM of teleost fish and tetrapods evolved through a process of convergent evolution.

53BP1 Supports Immunoglobulin Class Switch Recombination Independently of Its DNA Double-Strand Break End Protection Function

SummaryClass switch recombination (CSR) is a DNA recombination reaction that diversifies the effector functions of antibodies. CSR occurs via the formation and non-homologous end joining (NHEJ) repair of programmed DNA double-strand breaks (DSBs) at the immunoglobulin heavy chain locus. The DNA repair factors 53BP1 and Rif1 promote NHEJ and CSR by protecting DSBs against resection. However, to what extent repression of DNA end resection contributes to CSR is unknown. Here, we show that B lymphocytes devoid of 53BP1-Rif1-dependent DSB end protection activity undergo robust CSR. Inactivation of specific sets of phospho-sites within 53BP1 N-terminal SQ/TQ motifs abrogates Rif1 recruitment and inhibition of resection but only mildly reduces CSR. Furthermore, mutations within 53BP1 oligomerization domain abolish CSR without substantially affecting DNA end processing. Thus, inhibition of DNA end resection does not correlate with CSR efficiency, indicating that regulation of DSB processing is not a key determinant step in CSR.

Improved clonality analysis based on immunoglobulin kappa locus for canine cutaneous plasmacytoma

Sensitivity of clonality analysis based on immunoglobulin heavy chain (IGH) in canine cutaneous plasmacytoma is lower than that in diffuse large B cell lymphoma (DLBCL) because of somatic hypermutation occurring at the IGH locus. Therefore, this study aimed to improve the sensitivity of clonality analysis for canine cutaneous plasmacytoma. To achieve this, clonality analysis based on the immunoglobulin kappa chain (IGK) locus was established. Sensitivity and specificity were examined in genomic DNA extracted from formalin-fixed paraffin-embedded sections of cutaneous plasmacytomas, DLBCLs, and lymph nodes without lymphoma. Forward primers were designed based on the IGKV genes, and reverse primers were designed based on the IGKJ genes and kappa deleting element (Kde). Analysis using IGKV and IGKJ primers demonstrated clonality in 24 of 29 cutaneous plasmacytomas (82.8%), while analysis with primers for IGKV and Kde showed clonality in 16 of 29 cases (55.2%). In DLBCL, the IGKV and IGKJ primer set yielded clonality in 18 of 23 cases (78.3%), and the IGKV and Kde primer set yielded 9 of 23 cases (39.1%). No clonal results were obtained from 23 lymph nodes without lymphoma. Sensitivity of the IGKV and IGKJ primer set was significantly higher than that of the IGH primers reported previously. Thus, clonality analysis based on the IGK locus can be utilized for canine B cell tumors. In conclusion, clonality testing based on IGH and IGK may be beneficial as an adjunct tool for diagnosis of canine B cell tumors including cutaneous plasmacytoma.

Next-generation sequencing of immunoglobulin gene rearrangements for clonality assessment: a technical feasibility study by EuroClonality-NGS

One of the hallmarks of B lymphoid malignancies is a B cell clone characterized by a unique footprint of clonal immunoglobulin (IG) gene rearrangements that serves as a diagnostic marker for clonality assessment. The EuroClonality/BIOMED-2 assay is currently the gold standard for analyzing IG heavy chain (IGH) and κ light chain (IGK) gene rearrangements of suspected B cell lymphomas. Here, the EuroClonality-NGS Working Group presents a multicentre technical feasibility study of a novel approach involving next-generation sequencing (NGS) of IGH and IGK loci rearrangements that is highly suitable for detecting IG gene rearrangements in frozen and formalin-fixed paraffin-embedded tissue specimens. By employing gene-specific primers for IGH and IGK amplifying smaller amplicon sizes in combination with deep sequencing technology, this NGS-based IG clonality analysis showed robust performance, even in DNA samples of suboptimal DNA integrity, and a high clinical sensitivity for the detection of clonal rearrangements. Bioinformatics analyses of the high-throughput sequencing data with ARResT/Interrogate, a platform developed within the EuroClonality-NGS Working Group, allowed accurate identification of clonotypes in both polyclonal cell populations and monoclonal lymphoproliferative disorders. This multicentre feasibility study is an important step towards implementation of NGS-based clonality assessment in clinical practice, which will eventually improve lymphoma diagnostics.

PB1661 CHARACTERIZATION OF A DUX4‐IGH INHIBITOR AS A POSSIBLE TREATMENT FOR ACUTE LYMPHOBLASTIC LEUKEMIA

Background:B cell acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer and the major cause of cancer‐related death before the age of 20. In up to 7% of cases, the disease is caused by rearrangements of the Double Homeobox 4 (DUX4) transcription factor to the immunoglobulin heavy chain (IGH) locus, giving rise to the oncogenic fusion protein DUX4‐IGH. While ectopic expression of wild type DUX4 induces apoptosis, DUX4‐IGH has transforming ability in cellular and animal models. These opposite biological activities are mirrored by the ability of DUX4 and DUX4‐IGH to drive the transcription of non‐overlapping sets of target genes, despite the two proteins share the same DNA binding domain (dbd).Aims:Through proteomics, we identified a specific DUX4‐IGH inhibitor. Preliminary data indicate that the inhibitor directly binds to DUX4‐IGH dbd blocking the activation of target genes. Based on this evidence, I aim to test the antileukemic activity of the inhibitor.Methods:Human cell lines and primary murine bone barrow progenitor cells will be lentivirally transduced to induce the expression of DUX4‐IGH alone or in combination with its inhibitor, and the effects on proliferation, transformation, clonogenic potential and self‐renewal ability in B‐cell differentiation conditions will be evaluated.To test the efficacy of DUX4‐IGH inhibition in leukemia development, I will employ murine bone marrow transplantation assays and patient derived xenografts of DUX4‐IGH B‐ALL and assess disease latency in the presence or absence of the DUX4‐IGH inhibitor.Results:Preliminary data indicate that the activity of DUX4‐IGH is restricted to B‐cells, supporting the need of a B‐cell specific co‐factor. Importantly, lentiviral expression of the DUX4‐IGH inhibitor in NALM6 cells that carry a DUX4‐IGH translocation reduce the endogenous levels of DUX4‐IGH targets.I expect to see a significant inhibition of DUX4‐IGH driven transformation in the presence of its inhibitor, associated with reduced proliferation, clonogenic and self‐renewal potential in cell culture systems. I predict that the inhibitor will rescue differentiation potential and block or significantly delay leukemia development in mice injected with DUX4‐IGH expressing pro‐B cells.Summary/Conclusion:Pre‐clinical validation of the DUX4‐IGH inhibitor will help defining effective therapeutic strategies for DUX4‐IGH B‐ALL patients, improving clinical outcome and lowering treatment toxicity.

S842 MODELING MANTLE CELL LYMPHOMA IN MICE

Background:Mantle cell lymphoma (MCL) is a highly aggressive subtype of B‐cell lymphoma that is characterized by a poor response to current treatment regimens. Most MCLs carry a prototypical translocation, t(11;14), which juxtaposes the CCND1 gene towards the immunoglobulin heavy chain (IGH) locus, resulting in cyclin D1 overexpression. Notably, a subset of MCL patients are cyclin D1 negative but instead overexpress cyclin D2 (encoded by CCND2)as a consequence of recurrent genomic rearrangements involving the CCND2locus. These CCND2rearrangements were acknowledged in the revised 2016 WHO classification of lymphoid neoplasms and hints towards a putative role for Cyclin D2 in the etiology of MCL. In addition, the transcription factor SOX11 highly expressed in MCL, hinting that it might act as an oncogene in MCL.Aims:We wanted to evaluate if cyclin D2 and SOX11 are true oncogenic drivers of MCL. Furthermore, we aimed to model MCL in mice and use them as a preclinical tool to identify novel therapeutic options for MCL patients.Methods:To unravel the role of Cyclin D2 and SOX11 in the formation of MCL in vivo, we generated R26‐KI mice that allow conditional overexpression of either Ccnd2 or SOX11. For this, we used a targeting vector that contained a floxed stop cassette followed by cDNA (from Ccnd2 or SOX11) and a EGFP/luciferase reporter, which was subsequently targeted in mESCs using recombinase‐mediated cassette exchange (RMCE, Fig. A).Results:We found that hematopoietic‐specific Ccnd2 activation (using Vav‐iCre) is sufficient to drive MCL formation in mice (Fig. B, top). Moreover, we could show that this murine model recapitulates several clinical features of MCL patients, including CD19+, CD5+, CD23‐ immunophenotype, clonal tumor expansion, lack of somatic hypermutation, high expression of Sox11 and Bcl‐2, and infiltration in spleen, liver and GI tract. Furthermore, these murine MLC tumors were transplantable and homed to sites within the lymphatic system, but unfortunately did not show aggressive growth in vivo.Finally, we tested putative synergism between Ccnd2 and SOX11 overexpression and other cooperating genetic lesions that occur in human MCL, such as loss of p53. To this end, we generated mice with B‐cell specific overexpression of Cyclin D2 or SOX11 in combination with deletion of p53 (Fig. B, middle). These mice also formed MCL‐like tumors and developed “full blown” MCL within weeks upon their transplantation into immunocompromised mice (Fig. B, bottom). Importantly, the transplanted tumor cells are luciferase‐positive and are therefore suitable for in vivodrug testing using bioluminescence. As proof‐of‐principle, we tested the efficacy of known MCL drugs, such as the anti‐BCL2 inhibitor Venetoclax in our model system. In conclusion, we generated novel cyclin‐D2 and SOX11‐driven MCL mouse models that can be used for preclinical drug screening and will hopefully lead to a better outcome for MCL patients.Summary/Conclusion:Using novel R26‐KI mice with conditional expression of Ccnd2 or SOX11, we demonstrated that both Ccnd2 and SOX11 are bona fide drivers of MCL.image