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Record W3211716756 · doi:10.1182/blood-2021-153928

Shared and Distinct Genetic Features in Human and Canine B-Cell Lymphomas

2021· article· en· W3211716756 on OpenAlexaff
Tiana Hillman, Matthew C. Cheung, Bruno M. Grande, Kevin Bushell, Sarah E. Arthur, Miguel Alcaide, Nicole Thomas, Kostiantyn Dreval, Jovanveer Shoker, Krishanna Campbell, Stephanie Wong, Ryan D. Morin, Krysta M. Coyle

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsCanada's Michael Smith Genome Sciences CentreSimon Fraser University
Fundersnot available
KeywordsLymphomaBiologyCBCLComparative genomic hybridizationCDKN2AImmunophenotypingMutationB-cell lymphomaCancer researchGeneticsMolecular biologyPathologyCancerGeneMedicineImmunologyFlow cytometryChromosome

Abstract

fetched live from OpenAlex

Abstract Introduction Animal models of human cancers are an important tool for the development and preclinical evaluation of new treatments. Canine B-cell lymphoma (cBCL) is an appealing alternative to murine preclinical models due to its frequent, spontaneous incidence and its clinical and histological similarity to human B-cell non-Hodgkin lymphoma (NHL). The potential utility of cBCL as a veterinary model of human B-cell lymphomas would be bolstered by a more complete understanding of the genetic features found in cBCL. Methods To study the genetics of cBCL, we obtained fresh frozen and matched plasma/serum from 86 patients from the Canine Comparative Oncology Genomic Consortium(CCOGC) with 65 confirmed as B-cell lymphomas by immunophenotyping. Tumor DNA was prepared into libraries using the QIAseq FX DNA Library Kit (Qiagen). Plasma and serum DNA was prepared into libraries using the NebNext Ultra II DNA Library Prep Kit. Targeted hybridization enrichment was performed on the libraries using our custom baits and sequencing reads were aligned to canFam3.1 using Geneious and each mutation was visually confirmed. Variants were annotated with Variant Effect Predictor and human-dog pairwise alignments were extracted from Ensembl to identify the orthologous human amino acid for all canine variants. Results Our analysis confirmed the previously reported high frequency of mutations in TRAF3 and FBXW7. We also observed mutations in POT1, TP53, and SETD2 at similar frequencies to those reported in previous studies. DDX3X was mutated in 20% of cases, which is substantially higher than previously reported. MYC mutations were also more frequent (13%) than has been previously described in cBCL. In human lymphomas, MYC is commonly deregulated by translocation to a potent enhancer and these events are often associated with point mutations in MYC that are induced by aberrant somatic hypermutation (aSHM). Interestingly, we identified a more focal pattern of MYC mutations in cBCL that implies they do not result from aSHM and are likely functional. This finding implicates the conserved MYC phosphodegron sequence, a motif commonly mutated among additional aSHM-associated mutations, as the target of bona fide driver mutations in both human and cBCLs. Mutations in FBXW7 primarily affected the substrate recognition domain responsible for MYC degradation. The observation that MYC and FBXW7 mutations did not co-occur in any canine patient is consistent with the notion that FBXW7 mutations operate as an alternative path to MYC stabilization which is not frequently observed in human NHL. DDX3X was one of the most frequently mutated genes in our cohort (20%). DDX3X mutations are common in human Burkitt lymphoma and, though less abundant in hDLBCL, tend to be observed in samples with MYC translocations. In Burkitt lymphoma, these mutations display a sex-specific pattern, wherein females show mainly missense mutations, while males are affected by loss-of-function mutations. Interestingly, all DDX3X mutations in cBCL are missense variants and are presumed to be dominant acting. This lack of sex difference in DDX3X mutations is an important distinction between human and canine B-cell lymphomas that warrants further exploration. Conclusions Our study has revealed key differences in the mutational profiles of canine and human B-cell lymphomas and provides an impetus for enhanced genomic characterization of canine lymphomas as a model for human NHL, particularly in clinical trial settings. Disclosures Grande: Sage Bionetworks: Current Employment. Alcaide: GA Diagnostics AB: Current Employment. Morin: Celgene: Consultancy; Foundation for Burkitt Lymphoma Research: Membership on an entity's Board of Directors or advisory committees; Epizyme: Patents & Royalties. Coyle: Allakos, Inc.: Consultancy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.309
Teacher spread0.288 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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