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Abstract B17: Development of novel, potent orally available Wee1 inhibitors with robust antitumor efficacy in vivo

2017· article· en· W2605262538 on OpenAlexaboutno aff
Gérald Gavory, C. O'Dowd, Ewelina Rozycka, C. L. Boyd, Beronia Gorges, Estelle McLean, Shane Rountree, Steven Sheperd, Stephanie G. Burton, Mary McFarland, D. B. Janssen, Adam P. Treder, Andy Wilkinson, Frank Burkamp, Tim J. Harrison

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsWee1KinomeCancer researchCyclin-dependent kinase 1CHEK1Cell cycle checkpointSynthetic lethalityCell cycleG2-M DNA damage checkpointDNA damageKinaseBiologyDNA repairPharmacologyApoptosisCell biologyBiochemistryDNA

Abstract

fetched live from OpenAlex

Abstract Wee1 is a tyrosine kinase that phosphorylates cyclin-dependent kinase 1 (CDC2) to inactive the CDC2/cyclinB complex. Wee1 is therefore a key regulator of the cell cycle, maintaining the G2 checkpoint arrest to allow for pre-mitotic repair upon genomic stress. Unlike normal cells, most p53-deficient tumors lack a functional G1 checkpoint and instead rely on the G2 checkpoint for DNA repair. Abrogation of the G2 checkpoint by a Wee1 inhibitor therefore sensitizes p53-deficient tumors to DNA-damaging anticancer agents and enhances their cytotoxic effect. Strong evidence for chemo-sensitization has been demonstrated in multiple pre-clinical models and also in clinical trials. These clinical observations combined with recent reports demonstrating single agent efficacy make Wee1 a promising target for anticancer therapy. With only one inhibitor (AZD1775) in clinical development and very few reports of compounds at the preclinical stage, the development of alternative Wee1 inhibitors is of significant medical relevance. In this study, we describe the development of novel and highly potent small molecule inhibitors of Wee1 emanating from 2 distinct chemical series (ADC730, ADC999). These inhibitors exhibit single digit nM IC50 values versus the enzyme and good selectivity profiles against the kinome. In cells, target engagement was demonstrated through the inhibition of both CDC2- and CDK2-dependent Wee1 phosphorylation. In line with the mechanism of action, gH2AX and apoptosis induction was also observed in a dose-dependent manner. Further profiling in panels of cell lines indicated strong anti-proliferative activity both in combination with cytotoxics (i.e. gemcitabine) and in monotherapy. Single agent activity was observed in multiple cancer types, including gynecological, lung, colorectal and breast. In vivo, oral administration of ADC730 in combination with gemcitabine resulted in significant dose-dependent growth reduction in a HT29 tumor xenograft model and the combination was synergistic. Dosed orally and as single agents, both ADC730 and ADC999 also demonstrated excellent antitumor activity in the A427 KRAS-mutant lung carcinoma xenograft model. Responses ranged from dose-dependent tumor growth inhibition to complete regressions. ADC730 and ADC999 were well tolerated in these studies with no signs of adverse effects observed. In summary, we describe the development and profiling of novel, highly potent orally available Wee1 inhibitors with robust antitumor efficacy in vivo. These inhibitors will provide new opportunities to fully exploit the therapeutic potential of Wee1 inhibition, either as standalone intervention or in combination modalities. Citation Format: Gerald Gavory, Colin O'Dowd, Ewelina Rozycka, Caroline Boyd, Beronia Gorges, Estelle McLean, Shane Rountree, Steven Sheperd, Stephanie Burton, Mary McFarland, Dominic Janssen, Adam Treder, Andy Wilkinson, Frank Burkamp, Tim Harrison. Development of novel, potent orally available Wee1 inhibitors with robust antitumor efficacy in vivo [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr B17.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.100
GPT teacher head0.367
Teacher spread0.267 · 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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

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