Combining Desmopressin and Docetaxel for the Treatment of Castration-Resistant Prostate Cancer in an Orthotopic Model
Bibliographic record
Abstract
BACKGROUND/AIM: Desmopressin is a synthetic analogue of the antidiuretic hormone vasopressin. It has recently been demonstrated to inhibit tumor progression and metastasis in breast cancer models. Docetaxel is a chemotherapy agent for castrate-resistant prostate cancer (CRPC). In this study, the ability of CRPC cells to grow and develop in vivo tumors in an animal model was evaluated, in order to investigate the anti-tumor effect of desmopressin in combination with docetaxel. MATERIALS AND METHODS: The CRPC cell line PC3 was used for orthotopic inoculation in male athymic nude mice. The mice were randomly assigned to one of the four treatment groups: Control, docetaxel, desmopressin or combination therapy. Following the last treatment, tumors were excised and measured. Blood samples were processed for CTC analysis. RESULTS: Docetaxel treatment resulted in a significant reduction in tumor volume compared to control. The combination therapy resulted in even more significant reduction (31.2%) in tumor volume. There was a complete absence of CTCs in the combination group. CONCLUSION: Our pilot study demonstrated an enhanced efficacy of docetaxel-based therapy in combination with desmopressin.
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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) | 0.001 | 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 | 0.001 |
| 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".