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Record W2313644315 · doi:10.1158/1538-7445.am2012-867

Abstract 867: Therapeutic potential of small molecule SYK inhibitors for treatment of primary B cell acute lymphoblastic leukemia

2012· article· en· W2313644315 on OpenAlexaff
Tatiana Perova, Ildiko Grandal, Lauryl M. J. Nutter, Eniko Papp, Johann Hitzler, Mark D. Minden, Cynthia J. Guidos, Jayne S. Danska

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsOntario Institute for Cancer ResearchHospital for Sick Children
Fundersnot available
KeywordsSykCancer researchFlow cytometryLeukemiaMedicinebreakpoint cluster regionPI3K/AKT/mTOR pathwayPhosphorylationImmunologyTyrosine kinaseSignal transductionReceptorBiologyInternal medicineCell biology

Abstract

fetched live from OpenAlex

Abstract Background: B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood cancer. Intensified and central nervous system (CNS)-directed chemotherapy has significantly improved outcomes for pediatric patients but are associated with late-effect morbidities. Moreover, ∼20% pediatric and a higher frequency of adult patients suffer relapses that are often fatal. Thus there is a need to develop therapies that target signaling abnormalities in B-ALL, which may reduce complications of CNS leukemia and decrease long-term morbidities. Rationale: Using a p53-/- SCID mouse model of B-ALL we observed pre-B cell receptor (pre-BCR)-independent activation of the spleen tyrosine kinase (SYK) and found that it was crucial for the proliferation and survival of these leukemias. We then asked whether abnormal SYK activation occurs in human B-ALL and whether these cells are sensitive to small molecule SYK inhibitors. Methods: Viably frozen diagnostic B-ALL samples from children (n=54) and adults (n=42) tested for sensitivity to SYK inhibitors R406 (Astra-Zeneca) and BAY61-3606 in a short-term in vitro proliferation assay. Phospho-flow cytometry was also performed to quantify phosphorylation of SYK and other signaling proteins in B-ALL samples. The R406 pro-drug (Fostamatinib: Fosta) was used in a xenotransplant assay to determine therapeutic potential of SYK inhibition in vivo. Results: Phospho-flow cytometry profiling of primary B-ALL samples revealed prominent phosphorylation of SYK (Y348) and downstream signaling proteins that was decreased by SYK inhibitors. Furthermore, SYK inhibitors significantly attenuated proliferation of pre-BCR-negative and pre-BCR-positive B-ALL samples indicating that SYK was required for their survival and proliferation. In contrast, FLT3 or SRC inhibitors did not inhibit proliferation of pediatric and adult B-ALL samples. Importantly, siRNA-mediated SYK knockdown also reduced proliferation of B-ALL cell lines. Therefore, we tested the therapeutic potential of SYK inhibition using xenotransplantion. NOD.SCID.gamma C-/- (NSG) mice were injected intrafemorally with primary B-ALL samples (n=9) and fed chow containing either vehicle (AIN-76A diet) or Fosta (AIN-76A diet with 2g Fosta/kg). Leukemia burden was assessed 4-8 weeks post-transplantation. Mice given the Fosta diet had significantly reduced numbers of leukemic blasts in their injected femurs, other bones, spleens and CNS as compared to vehicle-treated mice. In addition, Fosta treatment reduced spleen, liver and kidney weight in ALL-transplanted mice. Conclusion: SYK signaling is vital to B cell acute lymphoblastic leukemia survival; small molecule SYK inhibitors have therapeutic potential in poor-prognosis and relapsed B-ALL. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 867. doi:1538-7445.AM2012-867

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 score0.003
Threshold uncertainty score0.012

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)0.0030.001

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 head0.054
GPT teacher head0.354
Teacher spread0.300 · 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
Published2012
Admission routes1
Has abstractyes

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