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Record W4282970563 · doi:10.1158/1538-7445.am2022-5650

Abstract 5650: RP-6306, a novel PKMYT1 inhibitor, demonstrates synthetic lethality as monotherapy and in combination with gemcitabine in <i>CCNE1</i> amplified cancer cells

2022· article· en· W4282970563 on OpenAlexaff
Jimmy Fourtounis, John Martino, Rino Stocco, Prasamit Baruah, Nicole M. Duffy, David A. Gallo, Sarah Fournier, Jingjing Li, Li Li, Elia Aguado, Adam Petrone, Anne Roulston, Yaël Mamane, Stephen Morris, Janek Szychowski, Róbert Papp, Mike Zinda, C. Gary Marshall

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsAegera Therapeutics (Canada)
Fundersnot available
KeywordsCyclin-dependent kinase 1Cyclin E1Wee1Cancer researchGenome instabilityCell cycleBiologyMolecular biologyMitosisPhosphorylationCyclin-dependent kinase 2Cell biologyChemistryCancerProtein kinase ADNA damageBiochemistryGeneticsDNA

Abstract

fetched live from OpenAlex

Abstract Cyclin E1, the protein product of the CCNE1 gene, complexes with CDK2 and is a key regulator of the G1-S transition in cycling cells. CCNE1 amplification has been associated with increased replication stress and genomic instability associated with tumorigenesis. The serine-threonine protein kinase family member PKMYT1 negatively regulates the G2-Mitosis transition by phosphorylating and inactivating CDK1. The aim of the current study was to evaluate the impact of RP-6306, a novel and selective PKMYT1 inhibitor, on the CCNE1 amplified human breast cancer cell line, HCC1569. RP-6306 is a highly potent PKMYT1 inhibitor that displays single digit nM potency in an in vitro enzyme assay. RP-6306 dose-dependently inhibited the phosphorylation of CDK1 on Thr14 in HCC1569 cells and had no impact on the Tyr15 phospho-site of CDK1 that is regulated by family member Wee1. Cell-based assays showed increased phosphorylation of replication stress and pre-mitotic entry biomarkers in RP-6306 treated HCC1569 cells. Micronuclei and Caspase-3 were detected in a dose-dependent manner in HCC1569 cells treated with RP-6306 indicating the onset of genomic instability and apoptosis in these cells. Growth assays confirmed irreparable damage and proliferation defects in cells treated with RP-6306. Experiments to evaluate the combination of RP-6306 with gemcitabine, an S-phase specific pyrimidine analog that inhibits DNA synthesis showed profound synergistic growth defects in HCC1569 cells. In vivo, RP-6306 inhibition of Thr14 phosphorylation of CDK1 in HCC1569 tumors was directly proportional to free circulating plasma levels and resulted in significant inhibition of tumor growth in a dose and time dependent manner. In combination with gemcitabine, RP-6306 demonstrated tumor regression and superior efficacy compared to single agent treatment of either agent alone in multiple CCNE1 amplified models, including HCC1569 and OVCAR3. Our studies show that inhibition of PKMYT1 kinase activity impairs the growth of CCNE1 amplified cancer cell lines both in vitro and in vivo and stands to benefit cancer patients with CCNE1 amplification. A Phase I clinical trial (NCT04855656- Mythic Study) is currently underway to evaluate RP-6306 in patients with advanced solid tumors. Citation Format: Jimmy Fourtounis, John Martino, Rino Stocco, Prasamit Baruah, Nicole Duffy, David Gallo, Sarah Fournier, JingJing Li, Li Li, Elia Aguado, Adam Petrone, Anne Roulston, Yael Mamane, Stephen Morris, Janek Szychowski, Robert Papp, Mike Zinda, C. Gary Marshall. RP-6306, a novel PKMYT1 inhibitor, demonstrates synthetic lethality as monotherapy and in combination with gemcitabine in CCNE1 amplified cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5650.

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.049
GPT teacher head0.358
Teacher spread0.309 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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