| Literature DB >> 34335584 |
Noushin Mossadegh-Keller1, Gabriel Brisou1,2, Alicia Beyou1, Bertrand Nadel1, Sandrine Roulland1.
Abstract
Lymphomas are cancers deriving from lymphocytes, arising preferentially in secondary lymphoid organs, and represent the 6th cancer worldwide and the most frequent blood cancer. The majority of B cell Non-Hodgkin lymphomas (B-NHL) develop from germinal center (GC) experienced mature B cells. GCs are transient structures that form in lymphoid organs in response to antigen exposure of naive B cells, and where B cell receptor (BCR) affinity maturation occurs to promote B cell differentiation into memory B and plasma cells producing high-affinity antibodies. Genomic instability associated with the somatic hypermutation (SHM) and class-switch recombination (CSR) processes during GC transit enhance susceptibility to malignant transformation. Most B cell differentiation steps in the GC are at the origin of frequent B cell malignant entities, namely Follicular Lymphoma (FL) and GCB diffuse large B cell lymphomas (GCB-DLBCL). Over the past decade, large sequencing efforts have provided a great boost in the identification of candidate oncogenes and tumor suppressors involved in FL and DLBCL oncogenesis. Mouse models have been instrumental to accurately mimic in vivo lymphoma-specific mutations and interrogate their normal function in the GC context and their oncogenic function leading to lymphoma onset. The limited access of biopsies during the initiating steps of the disease, the cellular and (epi)genetic heterogeneity of individual tumors across and within patients linked to perturbed dynamics of GC ecosystems make the development of genetically engineered mouse models crucial to decipher lymphomagenesis and disease progression and eventually to test the effects of novel targeted therapies. In this review, we provide an overview of some of the important genetically engineered mouse models that have been developed to recapitulate lymphoma-associated (epi)genetic alterations of two frequent GC-derived lymphoma entities: FL and GCB-DLCBL and describe how those mouse models have improved our knowledge of the molecular processes supporting GC B cell transformation.Entities:
Keywords: diffuse large B cell lymphoma (DLBCL); epigenetic modifier mutations; follicular lymphoma (FL); genetically engineered mouse (GEMs); germinal center (GC)
Year: 2021 PMID: 34335584 PMCID: PMC8323519 DOI: 10.3389/fimmu.2021.683597
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Major mouse models of human B cell lymphomas linked to their putative normal B cell counterpart. Top Panel: Schematic representation of Germinal Center B cells. Activated B cells enter in the GC dark zone (DZ), the site of clonal expansion and somatic hypermutation. Only a subset of DZ B cells will be selected to pass in the GC light zone (LZ) while most DZ B cells undergo apoptosis. GC LZ is the site of affinity-based selection where high-affinity B cells tend to capture more antigen from FDC and receive more T cell help through CD40/CD40L interaction driving their re-entry into the DZ for defined rounds of proliferation and SHM. In the LZ, owing to the failure to receive T cell help and acquisition of damaging BCR mutations, most GC B cells will undergo apoptosis while some LZ B cells that gained productive BCR mutations and enhanced affinity will be selected and terminally differentiate into memory B or plasma cells depending on the strength of T cell help they received [recently reviewed in (5)]. In normal immune response, current models suggest that memory B cells tend to exit early the GC response following low level of T cell help and typically display less SHM and reduced levels of affinity maturation than plasma cells. A limited number of memory B cells can re-enter into secondary GC upon antigenic recall for additional rounds of mutations (6, 7). Cyclic memory cell reactivation of mutated B cells into the GC is however a driving mechanism leading to B cell transformation (8, 9). Bottom panel: The most important genetically-engineered mouse models are linked to the human lymphoma they intend to mimic distinguishing Burkitt Lymphoma (BL) arising from transformation of DZ cells, Follicular Lymphoma and GCB-DLBCL from LZ cells and ABC-DLBCL arising from Activated B/plasmablastic or memory B cells. BL is characterized by Myc translocations between the immunoglobulin heavy or light chain locus. Transgenic mice engineered to dysregulate MYC expression under proximal or distal enhancers Eµ-Myc (10), iMycEµ (11) and c-myc3’LCR (12) led to the development of aggressive lymphomas with Burkitt-like phenotype with high penetrance and short latency in vivo. Conditional overexpression of Myc and PI3K signaling (Cγ1) in the GC cooperate to drive BL-like tumors identifying PI3K pathway activation as a key survival element in Myc-driven lymphomas (13). Modeling Cyclin D3 T283A gain-of-function mutations in B cells—which are recurrent event in DLBCL and sporadic BL (14, 15)—leads to increased DZ proliferation and occasional lymphoproliferative disease in older mice highlighting the need for additional events to exert its oncogenic function (16, 17). ABC-DLBCL are typically characterized by an enhanced activity of the NF-κB survival pathway and the co-occurrence of genomic aberrations in BCR (CD79B), MYD88, TBL1XR1, 18q gains affecting BCL2 and PRDM1 inactivation interfering with normal plasma cell differentiation, all defining features of the C5/MCD genetic subtype (18–20). Single conditional knockout of Prdm1 in B cells or specifically in the GC reveal lymphoma lesions of post-GC origin (Bcl6−, Irf4+) indicative of a preplasmablastic stage in only 20% of animals and with a long latency (18, 21). Constitutive activation of NF-κB pathway with Prdm1 disruption in the GC cooperate to drive DLBCL-like tumor development resembling human ABC-DLBCL (22, 23). Conditional expression in B cells of an oncogenic Myd88L252P allele plus BCL2 overexpression (mimicking BCL2 copy number gains) result in the development of aggressive post-GC lymphomas recapitulating many genotypic, transcriptomic and signaling features of ABC-DLBCL pathogenesis (24, 25) notably the formation of the My-T-BCR (Myd88/TLR9/BCR) supercomplex driving NF-κB mediating survival signals (26) and detection of autoreactive antibodies suggesting a role for self-antigens in driving BCR stimulation as previously proposed in human and mouse models (27, 28). Somatic mutations in TBL1XR1 are enriched in the MCD/C5 genetic subtype (18). Conditional deletion of Tbl1xr1 or expression of TBL1XR1D370Y mutant allele in B cells generates aberrant memory B cells which are more prone to cyclic re-entry into GC reaction thereby providing additional evidence on how skewed GC/Memory B cell dynamics act as a major pathogenic mechanism in lymphoma development (8, 9, 29). Combined with Bcl2 overexpression, Tbl1xr1 mutant mice ultimately give rise to canonical post-GC extranodal ABC-like lymphomas with a proportion of B cells manifesting with a memory B cell phenotype consistent with a putative memory B cell origin of ABC-DLBCL tumors (21).
Relevant mouse models of follicular lymphoma and germinal center B cell diffuse large B cell lymphomas.
| Target gene | Mouse Model | Model type | Target cells | Mutation type | Latency (mo) | Disease phenotype | References |
|---|---|---|---|---|---|---|---|
|
|
| Transgenic ( | B cells | Overexpression | 18 | Hyperplasia, FL | ( |
|
| Transgenic (driven by 5’ Igh | B cells | Overexpression | 18 | LPD | ( | |
|
| Transgenic (driven by | All hematopoietic | Overexpression | 10–18 | FL | ( | |
|
| Knock-in (driven by Igh | Mature B | Overexpression | 7–14 | FL | ( | |
|
| Transgenic (Inactive human | pre-B | Sporadic overexpression | no tumors | ( | ||
|
| BM chimera: HSPCs from AIDCreRosa26LSL.YFP transduced with | pre-B (BCL2) GC for EYFP | Sporadic overexpression | 10 |
| ( | |
|
|
| Conditional knockout combined with | pro-B | Loss of function | 13 | FL, GCB-DLBCL | ( |
|
| Conditional knockout combined with | GC | Loss of function | 18 | FL, GCB-DLBCL | ( | |
|
| BM chimera of HSPCs from | All hematopoietic | Loss of function | 2 | FL, GCB-DLBCL | ( | |
|
|
| Conditional knockout combined with | GC | Loss of function | 13 | FL, GCB-DLBCL | ( |
|
| BM chimera: HSPCs from | All hematopoietic | Loss of function | 5 | FL, GCB-DLBCL | ( | |
|
|
| Conditional knockin (endogenous promoter) | Pre-B | Gain of function | 12 | DLBCL | ( |
|
|
| BM chimera: HSPCs from | All Hematopoietic | Gain of function | 3–4 | GCB-DLBCL | ( |
|
| BM chimera: HSPCs from Cd19CreEzh2Y641F transduced with Bcl2 | Pre-B | Gain of function | 7 | FL, GCB-DLBCL | ( | |
|
| Conditional knockin combined with | GC | Gain of function | – | GCB-DLBCL | ( | |
|
|
| Conditional knockin combined with | GC | Gain of function | 6–12 | GCB-DLBCL | ( |
|
|
| Non-conditional knockout with | All hematopoietic | Loss of function | DLBCL | ( | |
|
|
| Non-conditional knockout | All hematopoietic | Loss of function | 12 | LPD, DLBCL | ( |
|
|
| Conditional knockout | Pre-B | Loss of function | 4–18 | CLL | ( |
|
| Conditional knockout | All hematopoietic | Loss of function | _ | GCB-DLBCL | ( | |
|
|
| BM chimera: HSPCs from | All hematopoietic | Loss of function | 4 | FL | ( |
|
|
| BM chimera: HSPCs from | All hematopoietic | Gain of function | 2 | FL | ( |
|
| BM chimera: HSPCs from | All hematopoietic | Overexpression | 2 | FL | ( | |
|
|
| Conditional knockout | pro-B | Loss of function | >12 | GCB-DLBCL | ( |
|
|
| Conditional knockout combined with | pro-B | Loss of function | 10 | GCB-DLBCL | ( |
|
|
| Knock-in mice crossed with | All hematopoietic | Gain of function | 10 | FL | ( |
|
|
| BM chimera: HSPCs from | All hematopoietic | Loss of function | – | FL | ( |