Reduced thromboembolic events with DN-101 (high-dose calcitriol) treatment of androgen-independent prostate cancer: Hypothesis for a new class of anticoagulants
Bibliographic record
Abstract
4505 Background: Thromboembolic events (TEs) occur at an increased rate in patients with advanced malignancies including androgen-independent prostate cancer (AIPC). DN-101, a new high-dose oral formulation of calcitriol (1,25-dihydroxycholecalciferol), is the active form of Vitamin D and the natural ligand for the nuclear receptor VDR. Calcitriol upregulates thrombomodulin, a natural anticoagulant, and downregulates tissue factor, a procoagulant both in vitro and in vivo. Further, VDR knockout mice demonstrate increased susceptibility to thrombosis. ASCENT is a double-blind, placebo-controlled study in 250 men with metastatic AIPC. Efficacy results have been previously reported (ASCO, 2005). Methods: 250 patients were randomized 1:1 to docetaxel 36 mg/m2 plus 45 μg DN-101 weekly or to the same docetaxel regimen plus placebo. In this exploratory analysis the incidence of TE (defined as deep venous thrombosis (DVT), pulmonary embolism (PE), myocardial infarction (MI), cerebrovascular accident (CVA) and arterial thrombosis (AT)) in the two study groups was compared using the Fisher’s exact test. Results: There were fewer patients with serious adverse events (SAEs) in the DN-101 group than in the placebo group (27 % vs. 41%). As shown in the table , DN-101 treated patients experienced fewer TEs including fewer TE SAEs, Grade 3 or 4 TEs and all grade TEs. No imbalance in baseline use of anticoagulants was observed. Conclusions: The well-described effects of calcitriol on protein components of the coagulation cascade provide a biologic basis for the observed reduction in thromboembolic events in the DN-101 treated patients. This hypothesis should be tested prospectively in future studies of DN-101. [Table: see text] [Table: see text]
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".