Capsaicin reduces the metastatic burden in the transgenic adenocarcinoma of the mouse prostate model
Bibliographic record
Abstract
BACKGROUND: Capsaicin, the active compound in chili peppers, has demonstrated anti- carcinogenic properties in vitro in a number of malignancies, including the prostate. In the present study, we investigate the chemopreventive potential of capsaicin on prostate cancer using the transgenic adenocarcinoma of the mouse prostate (TRAMP) model. The TRAMP is a murine model that resembles the progression of human disease. METHODS: Thirty-five 6-week-old TRAMP x C57BL/6 mice were randomized between treatment with capsaicin (5 mg/kg body weight) or control (saline) three times a week by oral gavage until 30 weeks of age. Body weight of animals was recorded thrice weekly. At termination, all tumors were extracted, recorded, and analyzed for histopathological analysis. To understand the effect of capsaicin on migration and invasion, in vitro experiments were carried out using PC3 cells. RESULTS: Mice in the control group expressed an overall trend of higher-grade disease with 37.5% poorly differentiated (PD), 18.75% moderately differentiated (MD), and 44% of well-differentiated (WD) adenocarcinoma, compared to the capsaicin-treated group with only 27.7% PD, 61.0% of WD, and 11.1% of intraepithelial neoplasia (PIN). The treatment group demonstrated a higher incidence of noncancerous PIN lesions compared to the control group. The capsaicin group also demonstrated a significant reduction (P < 0.05) in the metastatic burden compared to the controls, which correlated to a reduction in p27(Kip) (1) expression and neuroendocrine differentiation in prostate tumors. Furthermore, there were no differences in body weight between groups overtime, and no pathological toxicities in the liver and gastrointestinal tract with capsaicin consumption. In vitro studies revealed a dose-dependent reduction in the invasion and migration capacity of PC3 cells. CONCLUSION: The following study provides evidence supporting the safety and chemopreventive effects of capsaicin in the TRAMP model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".