In Vivo Antitumor and Antimetastatic Efficacy of a Polyacetal‐Based Paclitaxel Conjugate for Prostate Cancer Therapy
Bibliographic record
Abstract
Abstract Prostate cancer (PCa), one of the leading causes of cancer‐related deaths, currently lacks effective treatment for advanced‐stage disease. Paclitaxel (PTX) is a highly active chemotherapeutic drug and the first‐line treatment for PCa; however, conventional PTX formulation causes severe hypersensitivity reactions and limits PTX use at high concentrations. In the pursuit of high molecular weight, biodegradable, and pH‐responsive polymeric carriers, one conjugates PTX to a polyacetal‐based nanocarrier to yield a tert ‐Ser‐PTX polyacetal conjugate. tert ‐Ser‐PTX conjugate provides sustained release of PTX over 2 weeks in a pH‐responsive manner while also obtaining a degree of epimerization of PTX to 7‐epi‐PTX. Serum proteins stabilize tert ‐Ser‐PTX, with enhanced stability in human serum versus PBS (pH 7.4). In vitro efficacy assessments in PCa cells demonstrate IC 50 values above those for the free form of PTX due to the differential cell trafficking modes; however, in vivo tolerability assays demonstrate that tert ‐Ser‐PTX significantly reduces the systemic toxicities associated with free PTX treatment. tert ‐Ser‐PTX also effectively inhibits primary tumor growth and hematologic, lymphatic, and coelomic dissemination, as confirmed by in vivo and ex vivo bioluminescence imaging and histopathological evaluations in mice carrying orthotopic LNCaP tumors. Overall, the results suggest the application of tert ‐Ser‐PTX as a robust antitumor/antimetastatic treatment for PCa.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".