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Record W2967695014

In vitro screening of anticancer drug penetration into tumor tissue: taxanes

2005· article· en· W2967695014 on OpenAlexaffabout
Alastair H. Kyle, Lynsey A. Huxham, Devon M. Yeoman, Andrew I. Minchinton

Bibliographic record

VenueCancer Research · 2005
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsCanadian Centre for Applied Research in Cancer ControlBC Cancer Agency
Fundersnot available
KeywordsPaclitaxelDocetaxelPenetration (warfare)SpheroidTissue cultureDrugIn vitroCellCell culturePharmacologyBiologyChemistryCancer researchChemotherapyInternal medicineMedicineBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

5936 The failure of many anticancer drugs to control the growth of solid cancers may stem in part from inadequate delivery to tumour regions distant from vasculature. In this study we use a novel, effect-based assay that employs multilayered cell culture (MCC), a tissue-engineered disc grown from tumour cells on a permeable membrane. MCCs are similar to multicellular spheroids but their planar nature permits flux through the cultures to be more easily measured. Like spheroids they exhibit a gradient in proliferation but since MCCs grow as discs, this gradient forms as a mirror image from either side towards the middle. In this study, we exploit this symmetry by exposing MCCs to drugs from one side and then comparing their effect on the exposed side versus the far side of the cultures. This approach circumvents issues that normally arise from the biochemical gradients that occur with distance into tissue (e.g. changing intrinsic sensitivity of cells to drugs with depth into tissue). In this study we have compared the tissue penetration of the microtubule targeting agents paclitaxel and docetaxel. The distribution of drug effect within the cultures was assessed 2 days after exposure via immunodetection of S-phase cells using bromodeoxyuridine. Using an automated computer analysis routine, the effect of the drugs in the first three cell layers located on either edge of the cultures relative to controls was then assessed. Paclitaxel exhibited better tissue penetration, exerting a more equal effect within the cultures, than docetaxel. Over the concentration range studied, 0.03 - 3 μM, paclitaxel exhibited a ∼3-fold gradient in drug concentration across the MCCs while docetaxel was greater than 10-fold. As expected, docetaxel exhibited a greater effect on the side directly exposed to drug as compared with paclitaxel, but showed less effect on the far sides. This was consistent with its higher rate of cellular uptake relative to paclitaxel leading to increased consumption by the first layers of cells and resulting in less drug reaching further into the tissue. Only at concentrations greater than 1 μM was docetaxel able to exert an equal effect on both sides. Interestingly, MCC growth-delay, as measured by thickness, was similar for both drugs. Results obtained with the MCCs will be compared with xenograft experiments in which S-phase cells are mapped in relation to tumour vasculature. This model could be applied as a screening system for the discovery of biologically active drugs, which exhibit desirable penetration properties. This research is supported by the Canadian Institutes for Health Research and the Michael Smith Foundation for Health Research.

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 score0.002
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.491
Teacher spread0.413 · 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

Citations0
Published2005
Admission routes2
Has abstractyes

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