In Vitro and In Vivo Evaluation of Intravesical Docetaxel Loaded Hydrophobically Derivatized Hyperbranched Polyglycerols in an Orthotopic Model of Bladder Cancer
Bibliographic record
Abstract
The objective of this study was to evaluate the tolerability, to establish a dosing regimen, and to evaluate the efficacy of intravesical docetaxel (DTX) formulations in a mouse model of bladder cancer. DTX in commercial formulation (Taxotere, DTX in Tween 80) or loaded in hyperbranched polyglycerols (HPGs) was evaluated. The synthesis and characterization of HPGs with hydrophobic cores and derivatized with methoxy poly(ethylene glycol) in the shell and further functionalized with amine groups (HPG-C(8/10)-MePEG and HPG-C(8/10)-MePEG-NH(2)) is described. Intravesical DTX in either commercial or HPGs formulations (up to 1.0 mg/mL) was instilled in mice with orthotopic bladder cancer xenografts and was well tolerated with no apparent signs of local or systemic toxicities. Furthermore, a single dose of intravesical DTX (0.5 mg/mL) loaded in HPGs was significantly more effective in reducing the tumor growth in an orthotopic model of bladder cancer than the commercial formulation of Taxotere. In addition, DTX-loaded HPG-C(8/10)-MePEG-NH(2) was found to be more effective at lower instillation dose than DTX (0.2 mg/mL)-loaded HPG-C(8/10)-MePEG. Overall, our data show promising antitumor efficacy and safety in a recently validated orthotopic model of bladder cancer. Further research is warranted to evaluate its safety and efficacy in early phase clinical trials in patients refractory to standard intravesical therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".