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Record W2047907548 · doi:10.1182/blood-2002-04-1244

Oncogenic interaction between BCR-ABL andNUP98-HOXA9 demonstrated by the use of an in vitro purging culture system

2002· article· en· W2047907548 on OpenAlexaff
Nadine Mayotte, Denis‐Claude Roy, Jing Yao, Evert Kroon, Guy Sauvageau

Bibliographic record

VenueBlood · 2002
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsCancer researchMyeloid leukemiaBone marrowLeukemiaChronic myelogenous leukemiaABLBiologyPhiladelphia chromosomeImmunologyStem cellK562 cellsbreakpoint cluster regionMedicineTyrosine kinaseChromosomal translocationCell biologySignal transductionReceptorGeneticsGene

Abstract

fetched live from OpenAlex

Chronic myelogenous leukemia (CML) is a clonal stem cell disease caused by the BCR-ABL oncoprotein and is characterized, in its early phase, by excessive accumulation of mature myeloid cells, which eventually leads to acute leukemia. The genetic events involved in CML's progression to acute leukemia remain largely unknown. Recent studies have detected the presence of the NUP98-HOXA9 fusion oncogene in acute leukemia derived from CML patients, which suggests that these 2 oncoproteins may interact and influence CML disease progression. Using in vitro purging of BCR-ABL-transduced mouse bone marrow cells, we can now report that recipients of bone marrow cells engineered to coexpress BCR-ABL with NUP98-HOXA9 develop acute leukemia within 7 to 10 days after transplantation. However, no disease is detected for more than 2 months in mice receiving bone marrow cells expressing either BCR-ABL or NUP98-HOXA9. We also provide evidence of high levels of HOXA9 expressed in leukemic blasts from acute-phase CML patients and that it interacts significantly on a genetic level with BCR-ABL in our in vivo CML model. Together, these studies support a causative, as opposed to a consequential, role for NUP98-HOXA9 (and possibly HOXA9) in CML disease progression.

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 score0.151
Threshold uncertainty score0.458

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 head0.039
GPT teacher head0.264
Teacher spread0.225 · 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

Citations58
Published2002
Admission routes1
Has abstractyes

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