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Abstract A020: Combined inhibition of SHP2 and CDK4/6 is active in preclinical models of NF1-associated malignant peripheral nerve sheath tumor

2022· article· en· W4295942126 on OpenAlexaboutno aff
Jiawan Wang, Ana Calizo, Kai Pollard, Lindy Zhang, John Gross, Nicolás J. Llosa, Angela C. Hirbe, Christine A. Pratilas

Bibliographic record

VenueClinical Cancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsnot available
Fundersnot available
KeywordsCancer researchMAPK/ERK pathwayKinaseCDKN2ACell growthCyclin-dependent kinaseCell cycleBiologyMedicineCell biologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: NF1 is an essential negative regulator of RAS activity and its function is lost in nearly 90% of malignant peripheral nerve sheath tumors (MPNST). Additional recurrent molecular changes include loss of function alterations in CDKN2A, TP53, EED and SUZ12, but molecular targeting of these genomic events represents a unique challenge. We previously reported that the efficacy of MEK inhibitor is limited by adaptive activation of receptor tyrosine kinases and the adaptor protein SHP2, and that combined inhibition of MEK and SHP2 is effective in MPNST. However, the clinical potential of combination MEK and SHP2 inhibitors may be limited by the overlapping toxicity induced by ERK pathway inhibition. Loss of CDKN2A, inactivation of RB1, and hyperactivation of cyclin dependent kinases (CDK) in MPNST also suggest that small-molecule CDK4/6 inhibitors (CDK4/6i) may be a potential therapeutic strategy, but monotherapy with CDK4/6i also demonstrates limited activity. We hypothesize that the anti-tumor response of SHP2i may be potentiated by agents targeting the cell cycle in combination. Methods: The effects of shRNA-mediated inducible SHP2 knockdown on RAS signaling, short-term and long-term cell growth, and response to CDK4/6i were examined using immunoblotting, high throughput proliferation assays, and colony formation assays. Combined effects of SHP2i plus CDK4/6i on signaling, cell cycle, apoptosis, cell and in vivo tumor growth were assessed. Pharmacodynamic (PD) assays were performed on tumors extracted following drug treatment in patient-derived xenograft (PDX) models of MPNST. Results: Despite a modest effect of SHP2 knockdown on ERK signaling, shPTPN11 reduced MPNST cell growth. SHP2 knockdown or SHP2i treatment alleviated activation of ERK signaling and cyclin D1 expression induced by CDK4/6i, and enhanced the sensitivity to CDK4/6i. Combination benefit was observed in in vitro cell growth and in vivo PDX. Although some PDX models demonstrated similar responses to SHP2i alone or SHP2i + CDK4/6i during the initial four weeks on treatment, we found sustained tumor growth inhibition exerted by the combination on longer therapy. PD studies demonstrated a decrease in p-ERK levels in tumors treated with either SHP2i alone or the SHP2i/CDK4/6i combination, as well as a synergistic suppression of cell cycle regulators by the combination. Conclusions: Our preliminary data demonstrate that the combined inhibition of SHP2 and CDK4/6 is active and produces deep and durable response in models of NF1-associated MPNST. This combination strategy may represent a novel treatment approach for patients with MPNST. Citation Format: Jiawan Wang, Ana Calizo, Kai Pollard, Lindy Zhang, John M. Gross, Nicolas Llosa, Angela C. Hirbe, Christine A. Pratilas. Combined inhibition of SHP2 and CDK4/6 is active in preclinical models of NF1-associated malignant peripheral nerve sheath tumor [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A020.

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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.232
GPT teacher head0.471
Teacher spread0.239 · 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
Published2022
Admission routes1
Has abstractyes

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