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Record W1926600236 · doi:10.1002/gcc.22105

Identification of a novel fusion gene involving <i>RUNX1</i> and the antisense strand of <i>SV2B</i> in a <i>BCR‐ABL1</i>‐positive acute leukemia

2013· article· en· W1926600236 on OpenAlexaff
Amélie Giguère, Josée Hébert

Bibliographic record

VenueGenes Chromosomes and Cancer · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsRUNX1Chromosomal translocationFusion geneBiologyLeukemiabreakpoint cluster regionFusion transcriptABLMolecular biologyFusion proteinMyeloid leukemiaCancer researchHaploinsufficiencyGeneGeneticsPhenotypeTranscription factorReceptorRecombinant DNA

Abstract

fetched live from OpenAlex

RUNX1, a key regulator of hematopoiesis, is frequently mutated or implicated in chromosomal translocations in acute leukemia. About half of RUNX1 translocations remain uncharacterized at the molecular level. We describe here one such event, a t(15;21)(q26.1;q22) translocation identified in an adult patient diagnosed with a t(9;22)(q34;q11.2)-positive acute leukemia. This previously unreported rearrangement yields a fusion of RUNX1 with the antisense strand of the SV2B gene, a new translocation partner of RUNX1, resulting in the expression of out-of-frame mRNA chimeric transcripts and the production of putative truncated RUNX1 isoforms. The t(15;21) translocation also dissociates the P1 promoter of RUNX1 from its open reading frame, reducing RUNX1 expression levels in the patient's leukemic cells. Our data suggest that RUNX1 haploinsufficiency collaborates with the BCR-ABL1 oncogene in this leukemia. The description of this atypical gene fusion is an important addition to the characterization of the pathogenomic mechanisms leading to RUNX1 structural and functional alterations. Furthermore, our data strongly suggests that inadequate dosage of this gene plays an essential role in leukemogenesis.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.578

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 head0.011
GPT teacher head0.270
Teacher spread0.258 · 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 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".

Quick stats

Citations10
Published2013
Admission routes1
Has abstractyes

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