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Efficacy of SAR302503, a JAK2 Inhibitor, in the Treatment of a Primary Xenograft Model of Human Acute Myeloid Leukemia,

2011· article· en· W2589631417 on OpenAlexaff
Weihsu Claire Chen, Andreea C. Popescu, Yan Xing, Gitte Gerhard, Julie S. Yuan, Mark D. Minden, Cynthia J. Guidos, Donna E. Hogge, Jean Wang, John E. Dick

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversity of TorontoBC Cancer AgencyHospital for Sick ChildrenPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMyeloid leukemiaMedicineMyeloidLeukemiaTransplantationHaematopoiesisMyelofibrosisStem cellCancer researchNodRuxolitinibPharmacologyBone marrowImmunologyInternal medicineBiologyEndocrinology

Abstract

fetched live from OpenAlex

Abstract Abstract 3624 Small molecule inhibitors targeting somatic mutations of Janus kinase 2 (JAK2) have demonstrated effectiveness in clinical trials for treatment of myeloproliferative disorders. Activated JAK2 signaling has been reported in some acute myeloid leukemia (AML) samples even though the frequency of JAK2 mutations is relatively rare in AML. Whether JAK2 inhibitors are effective in AML is not clear. Since many myeloid malignancies including AML are organized as cellular hierarchies driven by leukemia stem cells (LSC) at the apex, it is also unknown whether LSCs are sensitive to JAK2 inhibition. We report that SAR302503 (SAR503, Sanofi, Cambridge, MA), an orally administered small molecule inhibitor of JAK2, shows therapeutic efficacy in a xenograft model of human AML established by intrafemoral injection of primary human AML cells into anti-NK treated irradiated NOD.SCID mice. Drug pharmacokinetic studies confirm that SAR503 exhibits good bioavailability in NOD.SCID mice. Starting 2 weeks post transplantation to permit establishment of an AML graft, mice were orally gavaged twice a day with 60 mg/kg SAR503 or vehicle alone (0.5% methylcellulose) for 14 consecutive days. In 5 of 7 AML samples, treated mice exhibited significantly lower engraftment (3 to 18 fold; p < 0.05) in the injected femur compared to control mice. For 4 samples, there was also a significantly reduced level of engraftment (2 to 19 fold; p < 0.05) in non-injected bones, indicating that JAK2 inhibition affected the migratory ability of AML cells. The observed heterogeneous drug response (5 responders and 2 non-responders) correlated well with phosphoflow analysis showing that AML samples that responded to JAK2 inhibition in vivo had high basal and marked reduction in the STAT signaling pathway after in vitro treatment, whereas non-responding samples did not. Serial transplantation studies are ongoing to evaluate the effect of JAK2 inhibition on LSCs in treated primary mice. To evaluate whether AML samples that did not respond to JAK2 inhibition alone would respond to combination therapy, we treated engrafted mice with SAR503 plus cytarabine, a standard chemotherapeutic drug used in AML. Combination therapy of one non-responding sample resulted in a significantly reduced leukemic burden (2.3%) compared to mice treated with SAR503 alone (85.8%) or cytarabine alone (16.8%; p < 0.05 versus combination therapy). Our results demonstrate the potential of SAR503 to target AML cells and AML LSCs across a cross section of primary AML samples. Our pilot studies warrant a much larger scale evaluation of AML samples to identify responders and non-responders along with associated proteomic and genomic biomarkers of drug response. The approach we have taken, which focuses on large-scale analysis of primary samples using state-of-the-art xenograft assays, offers a new paradigm for preclinical drug development to identify both novel agents that effectively target LSCs and the patient populations most likely to benefit from targeted treatment. Disclosures: Off Label Use: We describe using SAR302503 to treat AML in a mouse model.

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 score0.005

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 head0.044
GPT teacher head0.274
Teacher spread0.230 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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