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Phosphatidylinositol-3-Kinase p110d Uniquely Promotes Gain-Of-Function PTPN11-Induced GM-CSF Hypersensitivity In a Model Of Juvenile Myelomonocytic Leukemia

2013· article· en· W2979971137 on OpenAlexaff
Charles B. Goodwin, Raghuveer Singh Mali, Gordon Chan, Benjamin G. Neel, Brian J. Lannutti, Reuben Kapur, Rebecca J. Chan

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Tyrosine Phosphatases
Canadian institutionsPrincess Margaret Cancer CentreDiscovery CentreUniversity Health NetworkOntario Institute for Cancer Research
Fundersnot available
KeywordsJuvenile myelomonocytic leukemiaPTPN11KRASCancer researchNeuroblastoma RAS viral oncogene homologPI3K/AKT/mTOR pathwayMAPK/ERK pathwayLeukemiaTrametinibIdelalisibBiologyImmunologyPTENMedicineInternal medicineKinaseMutationHaematopoiesisSignal transductionCell biologyGeneticsStem cellChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Abstract Juvenile myelomonocytic leukemia (JMML) is a fatal leukemia affecting children under the age of 4 years and is characterized by myelomonocytic cell overproduction and hypersensitivity to GM-CSF. The only curative therapy is allogeneic stem cell transplantation; however, half of children relapse after this aggressive therapy. Approximately 85% of JMML patients bear loss-of-function (LOF) mutations in NF1 or CBL or gain-of-function (GOF) mutations in KRAS, NRAS, or PTPN11. Typically, these mutations are non-overlapping, with the net effect being Ras hyperactivation. Children bearing somatic GOF mutations within PTPN11, which encodes the protein tyrosine phosphatase, Shp2, exhibit the poorest prognosis. GOF Shp2 (Shp2D61Y and Shp2E76K) induces hyperactivation of both the Ras-MEK- Erk and PI3K-Akt pathways. While the Ras-MEK-Erk pathway clearly contributes to the pathogenesis of JMML, we hypothesize that the PI3K-Akt pathway cooperates with the Ras-MEK-Erk pathway to promote JMML. Recently published work indicates that genetic disruption of the PI3K regulatory subunit, p85a, reduces GOF Shp2-induced hypersensitivity to GM-CSF. However, as PI3K regulatory subunits cannot be easily inhibited pharmacologically, we examined the contribution of class IA PI3K catalytic subunits in GOF Shp2-induced JMML. Shp2 D61Y/+ ;Mx1Cre+ mice were crossed with mice bearing conditional knockout of p110a (Pik3caflox/flox) or bearing a kinase dead mutant of p110d (Pik3cdD910A/D910A). Shp2D61Y/+;Mx1Cre-, Shp2D61Y/+;Mx1Cre+, Shp2D61Y/+;Mx1Cre+; Pik3caflox/flox, and Shp2D61Y/+;Mx1Cre+; Pik3cdD910A/D910A mice were treated with polyI;polyC, and 8 weeks post-treatment, animals were euthanized followed by evaluation of spleen size, hypersensitivity of bone marrow low density mononuclear cells (LDMNCs) to GM-CSF, frequency of bone marrow phenotypically-defined common myeloid, granulocyte-monocyte, and megakaryocyte-erythroid progenitors (CMPs, GMPs, and MEPs), and GM-CSF-stimulated Erk and Akt activation. Genetic disruption of p110a failed to normalize GOF Shp2-induced splenomegaly, GM-CSF hypersensitivity in proliferation assays and methylcellulose-based progenitor assays, or hyperphosphorylation of Erk or Akt. In contrast, genetic ablation of p110d kinase activity significantly reduced spleen size, normalized progenitor hypersensitivity to GM-CSF, and reduced both Akt and Erk hyperactivation. Additionally, genetic inhibition of p110d normalized the skewed hematopoietic progenitor distribution reported in the Shp2D61Y/+;Mx1Cre+ mice, while genetic disruption of p110a failed to do so. This unique function of p110d in the context of GOF Shp2-expressing mice is significant, as p110d expression is restricted to hematopoietic cells and p110d bears transforming properties independent of Ras. While previously published work indicates that the PI3K p110a and p110d inhibitor, GDC-0941, inhibits proliferation of GOF Shp2-expressing cells, we tested if the potent p110d-specific inhibitor, GS-9820, is similarly effective. GOF Shp2-expressing bone marrow LDMNCs treated with GS-9820 demonstrated significantly reduced proliferation in a dose-dependent fashion, while GS-9820 failed to inhibit the proliferation of WT Shp2-expressing cells. GS-9820 treatment decreased Akt phosphorylation (S473 and T308) as well as reduced Erk phosphorylation, indicating that p110d inhibition also reduces signaling within the Ras-MEK-Erk pathway. While PI3K activates the canonical Akt-mTORC1 pathway, it also positively feeds back to the Ras-MEK-Erk pathway via activation of Rac-Pak-MEK; therefore, we evaluated if p110d inhibition adds to or is redundant with MEK inhibition. Treatment of GOF Shp2-expressing hematopoietic cells with the MEK inhibitor, PD0325901, effectively reduced proliferation, and addition of GS-9820 further significantly reduced proliferation, indicating that p110d works cooperatively with MEK to promote GOF Shp2-induced disease. Collectively, our findings suggest that PI3K catalytic subunit p110d functions in a Ras-MEK-Erk pathway-independent manner to promote GOF Shp2-induced hypersensitivity to GM-CSF, and suggest that PI3K p110d inhibition in combination with MEK inhibition may be a novel, optimal approach for the treatment of JMML. Disclosures: No relevant conflicts of interest to declare.

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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 score0.001
Threshold uncertainty score0.004

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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".

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Citations0
Published2013
Admission routes1
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