Abstract 5878: Effect of cannabinoid WIN 55,212-2 on prostate cancer cell proliferation, migration, invasion, and tumor growth
Bibliographic record
Abstract
Abstract Introduction and Objective: Prostate cancer (PCa) is the most commonly diagnosed cancer in men and the second leading cause of cancer related death in Canada. A large body of evidence supports a possible role for cannabinoids in certain aspects of human health and disease, acting as palliative agents and more importantly, as inhibitors of cancer cell proliferation, migration, invasion, and the angiogenesis of tumours. WIN 55,212-2 (WIN) is a highly potent synthetic cannabinoid, binding to the cannabinoid receptors 1 and 2. This study aims to determine the anti-cancer effect of WIN using preclinical models of prostate cancer. Methodology: Human PCa cells (DU145, PC3) were treated with WIN at concentrations ranging from 1μM to 20μM and growth of cells (using the MTS assay) was assessed at various times following treatment. Wound-healing assays were conducted to investigate the migratory potential of cells following exposure to treatment, and trans-well invasion assays were performed to explore the influence of WIN on cell invasion. In vivo evaluation using PC3 xenografts was performed using swiss athymic mice. Treatment was administered thrice weekly and tumor volume assessed for a total of three weeks. Results: Treatment with 10μM WIN resulted in a significant reduction in the proliferation of DU145 and PC3 cells after 24 h compared to control (p<0.05). Cell migration and invasion studies revealed a significant reduction in cell motility at 15μM WIN (p<0.05) and a significant reduction in cell invasion at a concentration as low as 1μM (p<0.05). Treatment with 5mg/kg WIN (ip) revealed significant differences in tumor volume compared to controls that received the vehicle (p<0.05). There were no significant alterations in body weight in both groups. Conclusion: WIN 55,212-2 is a highly potent cannabinoid, having significant influences on cell proliferation, migration, and invasion, with reduction in the growth of tumors in prostate cancer xenografts. We are the first to demonstrate the use of WIN in PC3 xenografts and provide evidence for its use as a novel therapeutic option in patients with prostate cancer. Funding/Conflicts of Interest: None Citation Format: Domenica Roberto, Laurence H. Klotz, Vasundara Venkateswaran. Effect of cannabinoid WIN 55,212-2 on prostate cancer cell proliferation, migration, invasion, and tumor growth [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5878.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".