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Record W2887247967 · doi:10.1158/1538-7445.am2018-2663

Abstract 2663: CR42-24, a novel colchicine derivative, a therapeutic for bladder cancer

2018· article· en· W2887247967 on OpenAlexaff
Clayton Bell, Kyle Potts, Desmond Pink, John D. Lewis, Jack A. Tuszyński

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsColchicineTubulinBladder cancerCancerCancer researchMedicinePaclitaxelGemcitabineCisplatinProstate cancerChemotherapyPharmacologyMicrotubuleInternal medicineBiologyCell biology

Abstract

fetched live from OpenAlex

Abstract Colchicine is an anti-mitotic drug that targets unpolymerized tubulin, and inhibits microtubule polymerization. It is primarily used to treat gout but has been investigated in numerous clinical trials to treat conditions such as leukemia (ALL), prostate cancer, Behcet's disease, etc.. However, due to its narrow therapeutic window colchicine has had limited clinical translation. A possible approach to reduce general is to produce a derivative with an increased cancer specificity and selectivity by a narrower molecular target selection. Previously, our lab has designed and synthesized a novel colchicine derivative (CR42-24) with a more favorable pharmacological profile compared to colchicine. This was accomplished by designing a structure with an increased affinity for βIII tubulin. βIII tubulin is a β-tubulin isotype that is incorporated into tubulin dimers that make up microtubules. βIII is an excellent target for novel therapies as it has low expression in healthy tissue, is overexpressed in metastatic cancers, and is a clinical marker of poor prognosis. Using cell line screening we demonstrate that CR42-24 is highly toxic to a variety of cancer types with IC50 values at low nanomolar concentrations. More specifically CR42-24 is shown to be highly effective against bladder cancer. Current chemotherapy for bladder cancer is a combination of gemcitabine and cisplatin (Gem/Cis). Although marginally successful, many patients develop resistance to Gem/Cis leaving them with limited options for a second line therapy, thus development of alternative therapies is highly desired. Using in vitro assays we demonstrate that CR42-24 kills aggressive bladder cancer cell types, and is more effective than gemcitabine and cisplatin. Additionally, CR42-24 doubles survival rates of mice with bladder cancer xenografts. We also show that CR42-24 is highly synergistic with other chemotherapies, thereby increasing its therapeutic potential. Through our studies we have shown that CR42-24 is effective in treating aggressive bladder cancer and thus may serve as an alternative or second line therapy. Citation Format: Clayton Bell, Kyle Potts, Desmond Pink, John Lewis, Jack Tuszynski. CR42-24, a novel colchicine derivative, a therapeutic for bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2663.

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 score0.005
Threshold uncertainty score0.016

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.105
GPT teacher head0.430
Teacher spread0.325 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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