MétaCan
Menu
Back to cohort
Record W2020232583 · doi:10.1158/1538-7445.am10-3698

Abstract 3698: Development of a hydrophobic docetaxel prodrug nanoparticle with enhanced plasma circulation lifetime and improved efficacy

2010· article· en· W2020232583 on OpenAlexaff
Sharon A. Johnstone, Steven M. Ansell, Troy O. Harasym, Sherwin Xie, Lawrence D. Mayer, Paul Tardi

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsPhoenix Technologies (Canada)Celator Pharmaceuticals (Canada)
Fundersnot available
KeywordsDocetaxelProdrugPaclitaxelChemistryPharmacologyNanoparticleDrugPharmacokineticsChemotherapyMedicineMaterials scienceNanotechnologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Amphiphilic block co-polymers can form highly stable micellar-nanoparticles which can be used to trap hydrophobic chemotherapeutic agents. While block co-polymer formulations effectively retain drugs in vitro, nanoparticles frequently display burst release of trapped agents upon injection into animals. As a result, nanoparticles often show only limited improvements in drug circulation lifetime and likely provide little improvement in drug delivery to the tumor site. To address this issue, we previously generated hydrophobic prodrugs of paclitaxel to enhance retention within the nanoparticle and observed a correlation between drug circulation lifetime and the hydrophobicity of the anchor. When these formulations were evaluated for anti-tumor efficacy, the longest circulating paclitaxel prodrugs were the most efficacious. We have now extended our assessment to hydrophobic docetaxel prodrug formulations and have related plasma circulation characteristics of the docetaxel prodrug nanoparticles to suppression of tumor growth in mice bearing HT-29 human colorectal tumor xenographs. Docetaxel-docosanyl diglycolate (procet 7), and docetaxel-cholesteryl diglycolate (procet 8) were formulated in PS-PEG nanoparticles at a drug:polymer weight ratio of1:2 and injected i.v. into mice. The plasma half-life of the docetaxel prodrug was enhanced relative to the corresponding paclitaxel prodrug and significantly greater than docetaxel formulated in polysorbate 80. When dosed at their respective maximum tolerated dose (MTD), docetaxel, procet 7 and procet 8 nanoparticles resulted in a tumor growth delay (TGD) of 66%, 213% and 241% respectively. In addition docetaxel prodrugs administered at equimolar doses to docetaxel displayed greater antitumor activity than the free drug (77% and 105% TGD for procet 7 and procet 8 nanoparticles respectively). We attribute the increased potency of docetaxel prodrugs over paclitaxel prodrugs to the extended plasma circulation lifetimes of the former. These results confirm that hydrophobic docetaxel prodrugs can be formulated into block co-polymer nanoparticles to achieve prolonged circulation kinetics which result in enhanced therapeutic activity. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3698.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.026
GPT teacher head0.316
Teacher spread0.290 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicNanoparticle-Based Drug DeliveryFrench-language works237,207