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Record W2593981338 · doi:10.1073/pnas.1700234114

Functional characterization of CFI-402257, a potent and selective Mps1/TTK kinase inhibitor, for the treatment of cancer

2017· article· en· W2593981338 on OpenAlexafffund
Jacqueline M. Mason, Graham C. Fletcher, Reza Kiarash, Richard D. Brokx, Richard Hodgson, I. P. Beletskaya, Mark R. Bray, Tak W. Mak

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersCanadian Institutes of Health ResearchCampbell Family Institute for Breast Cancer ResearchPrincess Margaret Cancer FoundationGenome CanadaCalifornia Institute for Regenerative Medicine
KeywordsSpindle checkpointCancerCancer cellCancer researchBiologyCell cycleKinaseCell growthCell biologyCell cycle checkpointCellCell divisionSpindle apparatusGenetics

Abstract

fetched live from OpenAlex

Significance At present, microtubule-targeting agents are the most important antimitotic drugs used in the clinic. However, there is an urgent need for the discovery of new approaches to more effectively target tumor cells with less toxicity. Emerging strategies for anticancer therapy include exploiting cell-cycle checkpoint vulnerabilities and genomic instability in cancer cells. The spindle assembly checkpoint (SAC) is important for cell survival, and its inactivation generates lethal genomic instability in cancer cells. Inhibition of SAC signaling through targeting of monopolar spindle 1 (Mps1) has provided an indication of the feasibility of such an approach. We report here the cellular and antitumor effects of CFI-402257, a potent and specific small-molecule inhibitor of Mps1. CFI-402257 is currently in a phase I clinical trial ( ClinicalTrials.gov ID: NCT02792465).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.148
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.027
GPT teacher head0.298
Teacher spread0.271 · 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.

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

Citations136
Published2017
Admission routes2
Has abstractyes

Explore more

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