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Paclitaxel in Combination with Coumarin as a Potentially Effective Anticancer Agent

2000· article· en· W2140982262 on OpenAlexaff
A.M. Zobel, S.E. Schellenberger

Bibliographic record

VenuePharmaceutical Biology · 2000
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsTrent University
Fundersnot available
KeywordsPaclitaxelClastogenCoumarinPharmacologyAntimitotic AgentChemistryToxicologyToxicityBiologyGenotoxicityCancerGeneticsTubulinOrganic chemistry

Abstract

fetched live from OpenAlex

The antimitotic and clastogenic effects induced by paclitaxel alone, and when combined with coumarin at varying concentrations and volume ratios, were investigated on meristematic cells of Allium sativum L. root tips. Paclitaxel exhibited antimitotic effects by blocking cell division in metaphase at concentrations ranging from saturated to 10 -12 ppm. Paclitaxel when used alone at high concentrations (saturated, 10 -3 ppm, 10 -6 ppm) induced cytotoxic and chromosomal aberrations after 1 and 3 h incubation and cell death after 24 h incubation. Paclitaxel demonstrated fewer cytotoxic and clastogenic effects when combined with coumarin in a 1:9 ratio at low concentrations. The combination of 10 -12 ppm of paclitaxel with 200 ppm coumarin (1:9) produced the best results as these agents worked together synergistically at the biochemical level to produce antimitotic effects with the fewest chromosomal aberrations. This mixture exhibited the potential to be used as an anticancer drug owing to its abilities to exert antimitotic activity without causing extreme clastogenic effects. Paclitaxel, when used alone or in combination with coumarin at high concentrations (greater than 10 -12 ppm), demonstrated possible carcinogenic potential when used in cancer therapy.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.994

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)0.0070.000

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 head0.025
GPT teacher head0.390
Teacher spread0.365 · 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 designOther design
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

Citations5
Published2000
Admission routes1
Has abstractyes

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