Evidence for the Conversion of Docetaxel into 7-Epidocetaxel in Patients Receiving Conventional Taxotere® Based Chemotherapy
Bibliographic record
Abstract
Purpose:Epimerization at the C7atom of the baccatin moiety is a common in-vitro pathway for all taxanes, including the natural precursor 10-deacetyl baccatin III and the antineoplastic drugs paclitaxel and docetaxel. To date this in-vitro epimerization of both drugs has been elucidated completely, but epimerization of docetaxel in patients during chemotherapy has not yet described. The goal of this study was to identify the epimer of docetaxel in plasma and urine of taxotere treated patients. Patients and Methods:12 patients suffering from mamma carcinoma, lung cancer or prostate cancer were treated with various docetaxel-based schedules. Blood samples were drawn before start of infusion, at the end of infusion and 20 min thereafter, urine was collected and pooled for 6 hours. Docetaxel and its epimer epidocetaxel were quantified by solid phase extraction and reversed phase HPLC. Results:In 8 of 12 patients epidocetaxel could be quantified in plasma at the end of infusion (range 0.05 - 0.54 µg/ml). 20 minutes later concentrations were below LOQ due to rapid distribution of docetaxel into tissue. In urine, epidocetaxel has been found in 7 of 12 patients (range 0.1 - 0.5 µg/ml). Conclusion: Epidocetaxel is a distinct docetaxel metabolite in man. So our knowledge, this is the first time that quantification of epidocetaxel in blood and urine of chemotherapy patients has been reported. This finding is important for designing of new docetaxel generic drugs and the development of new chemotherapeutic schedules using docetaxel. To date the in-vivo pharmacologic and toxic properties of the epimer remain unclear.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".