The in Vitro and in Vivo Anti-Cancer Potential of Mycobacterium Cell Wall Fraction (MCWF) Against Canine Transitional Cell Carcinoma of the Urinary Bladder
Bibliographic record
Abstract
Abstract Transitional cell carcinoma (TCC), is the most common form of urinary bladder cancer in dogs and represents 2% of all reported canine cancers. Canine TCC is usually a high-grade invasive cancer and problems associated with TCC include urinary tract obstruction and distant metastases in more than 50% of affected dogs. TCC is most commonly located in the trigone region of the bladder precluding complete surgical resection. Current treatment options for TCC in dogs include medical therapy, surgery or radiation. Mycobacterium Cell Wall Fraction (MCWF) is a biological immunomodulator derived from non-pathogenic Mycobacterium phlei. MCWF possesses a potential in multiple veterinary areas such as anticancer therapy, palliative care and treatment of infectious diseases in both small and large animals. MCWF is considered a bifunctional anti-cancer agent that induces apoptosis of cancer cells and stimulates cytokine and chemokines synthesis by cells of the immune system. Here we report the results from in vitro and in vivo studies that could suggest use of MCWF as an additional treatment option for TCC in dogs. Particularly, we demonstrated that MCWF induces a concentration dependent inhibition of proliferation of K9TCC cells which was associated with the induction of apoptosis as measured by the proteolytic activation of caspase-3 and the degradation of PARP. Furthermore, we demonstrated the safety and potential for in vivo MCWF treatment efficacy in dogs bearing stage T2 TCC by reducing clinical signs, and improving the quality of life in dogs with TCC.
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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 | 0.000 |
| 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".