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Record W4389243194 · doi:10.1182/blood-2023-190230

<i>BTG2</i> Super-Enhancer Mutations Disrupt TFAP4 Binding and Deregulate BTG2 Expression in Diffuse Large B-Cell Lymphoma

2023· article· en· W4389243194 on OpenAlexaff
Pantaleo De Simone, Élodie Bal, Antony B. Holmes, Laura K. Hilton, Katia Basso, Rajesh K. Soni, Ryan D. Morin, Riccardo Dalla‐Favera, Laura Pasqualucci

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsCanada's Michael Smith Genome Sciences Centre
Fundersnot available
KeywordsBiologyDiffuse large B-cell lymphomaSomatic hypermutationCancer researchGeneticsEnhancerGeneLymphomaB cellTranscription factorImmunology

Abstract

fetched live from OpenAlex

Diffuse Large B-cell Lymphoma (DLBCL), the most frequent lymphoid malignancy, remains incurable in ~40% of patients. Coding-genome sequencing efforts identified several genes/pathways altered in this disease, as well as genetic subgroups of prognostic and therapeutic significance. However, the large non-coding portion of the genome remained largely unexplored. We recently identified a pervasive hypermutation mechanism targeting active super-enhancers (SEs) in >90% of DLBCLs and leading to dysregulation of multiple genes, including well-known lymphoma oncogenes (Bal et al., Nature 2022). This pervasive phenomenon exhibits hallmarks of AID activity, and we provided evidence of its oncogenic relevance by demonstrating that mutational hotspots in the BCL6, BCL2 and CXCR4 SEs impair the binding of specific transcriptional repressors, preventing their negative regulation and creating oncogenic dependencies in DLBCL cells. Here we aimed to define the pathogenic role of non-coding mutations targeting the intragenic SE (iSE) of the BTG2 gene, the second most commonly mutated in DLBCL (39% of samples analyzed, including 36/93 primary cases and 7/29 cell lines). BTG2 encodes a member of the B-cell translocation gene (BTG)/ Transducer of ErbB2.1(TOB) family involved in transcriptional co-activation and modulation of mRNA abundance. BTG2 is also targeted by somatic missense mutations in 6-11% of DLBCL samples, suggesting a major role in the pathogenesis of this disease, which has not been explored. In order to identify functionally relevant BTG2 SE mutations, we first screened an extended panel of 286 DLBCL samples for the presence of mutational clusters targeting predicted transcription factor binding motifs. We identified a 20bp sequence stretch that was significantly hypermutated in these tumors, as compared to other lymphoma types or to non-lymphoid tumors (n=64/286, 22%; vs 0/17 Burkitt Lymphomas; 18/284 Follicular Lymphomas; 1/240 Chronic Lymphocytic Leukemias, and 0/1596 other tumors; p<0.0001, Fisher's exact test). In particular, mutations of the C at position +904 to G or T were exclusively detected in 11% DLBCL samples (32/286, p<0.0001, Fisher's exact test). To define the consequences of BTG2 C904 mutations, we then investigated the impact of reverting the mutation to the wild type nucleotide in 2 mutant DLBCL cell lines, using the CRISPR-Cas9 technology. Correction of the mutation led to a significant counter selection of the corrected clones (~85% reduction in a clone recovery assay, compared to control; p<0.001, Fisher's exact test) and to reduced BTG2 mRNA expression (p<0.01, one-way ANOVA), suggesting oncogenic addiction. In silico motif prediction and in vitro DNA-binding assays using mutant vs wild type oligonucleotides in two different DLBCL cell lines, followed by mass spectrometry, identified the Transcription Factor AP4 (TFAP4) as a protein specifically bound to the wild type, but not to the mutant sequences. TFAP4 is an important regulator of B-cell proliferation and cell fate decisions, which can function as a transcriptional activator or repressor in germinal center B-cells and acts downstream of/in parallel with c-MYC. We confirmed that the C904G and C904T SE mutation impaired TFAP4 binding in isogenic DLBCL cell lines by ChIP-qPCR and led to increased BTG2 expression (p<0.001, one-way ANOVA). Moreover, loss of TFAP4 in CRISPR-Cas9 edited DLBCL cells led to higher BTG2 expression levels, documenting TFAP4 as a direct negative regulator of BTG2 expression (p<0.001, one-way ANOVA). Consistently, single cell analysis of normal GC B cells revealed an inverse correlation between the expression pattern of TFAP4 and BTG2 in cells primed to undergo plasma cell differentiation vs cells committed to dark zone re-entry, suggesting that these two genes may function as a molecular switch in the cell fate decision of GC B cells. The programs modulated by BTG2 and TFAP4 in the GC, and disrupted in tumors carrying deregulated BTG2 alleles, will be presented, as defined by RNA-seq analysis of 3 isogenic GC-derived cell lines followed by interrogation of over 100 clinically annotated primary DLBCL biopsies. Together, these data identify TFAP4 as a novel regulator of BTG2 and reveal a previously unappreciated mechanism by which mutations in the BTG2 SE disrupt this circuit and contribute to lymphomagenesis through deregulating BTG2 expression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.233
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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