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Record W2562222354 · doi:10.1182/blood.v110.11.594.594

Mutations That Cooperate with Nf1 Inactivation in Leukemogenesis Influence Therapeutic Response to MEK Inhibition.

2007· article· en· W2562222354 on OpenAlexaff
Jennifer Lauchle, Doan Le, Doris Kim, Keiko Akagi, Matthew F. Gorman, Mary Tran, Judith S. Sebolt–Leopold, Linda Wolff, Luis F. Parada, Nancy A. Jenkins, Neal G. Copeland, Kevin Shannon

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHaematopoiesisMyeloid leukemiaCancer researchProgenitor cellLeukemiaMEK inhibitorBiologyMyeloidImmunologyMAPK/ERK pathwayStem cellKinaseGenetics

Abstract

fetched live from OpenAlex

Abstract Hyperactive Ras is a common feature of many cancers, including myelodysplastic syndrome (MDS), myeloproliferative disease (MPD), and acute myeloid leukemia (AML). Conditional inactivation of the Nf1 tumor suppressor, which encodes a GTPase activating protein that negatively regulates Ras, in murine hematopoietic cells in Mx1-Cre, Nf1flox/flox mice induces MPD with 100% penetrance. This MPD does not evolve to AML, which implies that cooperating mutations are necessary for transformation to acute leukemia. Upon infection with MOL4070LTR, a retroviral insertional mutagen, ∼25% of Mx1-Cre, Nf1flox/flox mice develop AML. The Ras effectors MEK and ERK are hyper-phosphorylated in Nf1 mutant MPDs and AMLs with Nf1 inactivation. We investigated the effects of CI-1040, a highly selective inhibitor of the MEK kinase, on the growth of hematopoietic progenitor and blast colonies in methylcellulose cultures stimulated with GM-CSF. Blast colony formation from Nf1 mutant AML cells was abrogated at much lower CI-1040 concentrations (0.25 μM) than wild-type or Nf1 mutant MPD cells (50 μM) suggesting a therapeutic index. Nf1 mutant mice with MPD that were treated with CI-1040 showed no improvement in leukocyte counts or survival despite transient MEK inhibition in vivo. In contrast, mice transplanted with three unique Nf1 deficient AMLs responded to CI-1040 treatment with decreased leukocyte counts and markedly prolonged survival compared to vehicle treated controls (24 versus 7 days in the vehicle-treated cohort; OR 3.5 95% CI 3.0–3.8). Despite lower white blood cell counts and prolonged survival, all of the leukemic mice receiving CI-1040 eventually developed reemergence of peripheral blood blasts and died from AML. Leukemias that relapsed during CI-1040 treatment are remarkably less sensitive to CI-1040 in vitro than the vehicle treated AMLs, and do not respond to treatment in secondary recipients. This cellular resistance is not due to an acquired change in kinase sensitivity to CI-1040 as we observe equivalent inhibition of pERK in sensitive and resistant AMLs that are exposed to a range of CI-1040 concentrations. Importantly, when compared with untreated leukemias, CI-1040-resistant AMLs contain new retroviral integrations. Cloning the integration sites from sensitive and resistant Nf1 deficient leukemia pairs resulted in identification of several candidate resistance genes including members of the RasGRP family and Mapk14, which encodes p38. Inhibition of p38 with SB 202190, a relatively selective inhibitor, confers resistance to CI-1040 in sensitive leukemias. Our data support the idea that MEK is a relevant biochemical target in myeloid leukemia, and show that cooperating mutations strongly modulates response. CI-1040 and related MEK inhibitors merit further investigation in myeloid malignancies. This model provides a tractable system for identifying cooperating mutations that result in progression to acute leukemia and modulate drug sensitivity.

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.297
Teacher spread0.275 · 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".

Quick stats

Citations4
Published2007
Admission routes1
Has abstractyes

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