MF tricyclic and sulindac retard tumor formation in an animal model
Bibliographic record
Abstract
New selective cyclooxygenase-2 inhibitors offer the benefit of cancer protection with less gastrointestinal toxicity associated with nonselective nonsteroidal anti-inflammatory drugs (NSAIDs). We hypothesize that MF tricyclic and sulindac can retard all stages of tumor formation in nude mice. In a blinded placebo controlled study, 3 types of experiments were performed: 1) 2.5 x 10(6) cells were injected into 2 flanks of nude mice subcutaneously, as a model for in situ cancer (n = 192); 2) 1 x 10(6) cells were injected into the cecum of mice as a model for in situ colorectal cancer (n = 78) and 3) 0.5 x 10(6) cells were implanted into the splenic subcapsule to establish a colorectal cancer liver metastasis model (n = 78). The animals were fed with standard chow containing either placebo, MF tricyclic (67 mg/kg of chow) or sulindac (150 mg/kg of chow). Mice that were given MF tricyclic or sulindac, at clinical anti-inflammatory plasma concentrations, were significantly more tumor free and had significantly smaller primary tumors and fewer metastases, as compared to mice that consumed placebo. The mortality and the latency period were significantly better in the treatment groups. These findings suggest that selective COX-2 inhibitors may serve as an adjunct to standard therapy in colorectal cancer.
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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 | 0.000 | 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 | 0.001 |
| 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".