Surfactant‐Stripped Cabazitaxel Micelles Stabilized by Clotrimazole or Mifepristone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Taxane chemotherapy formulations are used to treat advanced cancers, but limited solubility and propensity for aggregation in water complicates their development. Many involve drug dissolution in organic solvents and liquid surfactants, or use of lyophilization and reconstitution approaches. “Surfactant‐stripping,” has been previously reported, in which hydrophobic drugs were first dispersed in Pluronic (Poloxamer) surfactant, then subjected to membrane processing below the critical micelle temperature, to remove free and loose surfactant while retaining the active cargo. In the present work, stabilized, surfactant‐stripped (sss) cabazitaxel (CTX) micelles with potential for long‐term aqueous storage are developed. Some 50 hydrophobic co‐loaders cargos are screened for capacity to prevent aggregation of CTX, of which approximately 10 are effective. Further screening identifies the antifungal clotrimazole and the abortificant mifepristone as the most effective stabilizers for sss‐CTX micelles, via interference with the CTX aggregation process. Micelles remain stable for hundreds of days in aqueous storage and suppress the growth of orthotopic 4T1 murine mammary tumors. Pharmacokinetics, tubulin stabilization, and neutropenia induction of sss‐CTX are generally comparable to a TWEEN‐80 CTX formulation. These data reveal sss‐CTX as a taxane delivery vehicle with a high drug‐to‐surfactant ratio and capacity for extended aqueous storage.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it