Pharmacokinetics of 3’-O-Retinoyl-5-fluoro-2’-deoxyuridine (RFUdR), a Dual Acting Mutually Masking Prodrug, and Its Metabolites in Tumor Bearing Mice
Bibliographic record
Abstract
3'-O-Retinoyl-5-fluoro-2'-deoxyuridine (RFUdR) is a putative dual-acting, mutually-masking (DAMM) prodrug for the treatment of cancer. As part of the proof of principle for the DAMM concept, the concentrations of RFUdR and its post-hydrolysis active metabolites, 5-fluoro-2'-deoxyuridine (FUdR) and all-trans-retinoic acid (RA), were determined in plasma and selected tissues following either bolus intravenous (i.v.; 12.5 μmol/kg) or oral (p.o.; 13.7 μmol/kg) doses of RFUdR to mice bearing EMT6 murine mammary tumors. The concentrations of RFUdR and its primary metabolites were measured by high-performance liquid chromatography. A three compartment model provided the best fit for plasma RFUdR after an i.v. bolus, whereas FUdR and RA data were best fit by a one compartment model. The terminal half-life of RFUdR in plasma was 9 hours. The AUC of RFUdR in tumor (3400 μmol/L.min) was estimated to be about 4- fold higher than its AUC in the plasma (809 ± 241 μmol/L.min). A short-duration, saturated elimination phase for RFUdR was observed in both liver and kidney following an i.v. bolus. Neither unchanged RFUdR nor RA was detected in urine. The high bioavailability (~90%) following oral dosing with RFUdR indicates that this DAMM prodrug may be suitable for oral dosing to deliver FUdR and RA for cancer chemotherapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".