Abstract 5724: Capsaicin and lycopene in combination reduce proliferation and induce apoptosis in prostate cancer cells via TRPV6 mediated phenomenon
Bibliographic record
Abstract
Abstract Introduction and Hypothesis: Prostate cancer (PCa) is the most common internal malignancy and the second most frequent cause of cancer death in Canadian men. Capsaicin recently investigated for its anti-cancer properties, is the active compound found in chilli peppers. Well-established as a pain reliever, capsaicin acts mainly on the transient receptor potential vanilloid (TRPV)-1 and TRPV6 receptor. The TRPV1 receptor is a non-selective cation channel that induces an inflow of cations Ca2+ and Na+ when activated. Similarly, activation of the TRPV6 receptor facilitates Ca2+ entry across the plasma membrane. Both TRPV1 and TRPV6 receptors are expressed in PCa tissue. Our present study aims to investigate the chemopreventive effect of capsaicin in combination with lycopene, an antioxidant found in tomatoes. We have found that PCa cells treated with capsaicin and lycopene alone and combined, cause a significant reduction in proliferation and an induction of apoptosis. Mechanistic studies examining this relationship have not been well defined. We hypothesize that capsaicin and lycopene in combination reduce proliferation and induce apoptosis via the TRPV6 and TRPV1 receptor in PCa cells in vitro. Materials and Methods: Two human PCa cell lines (LNCaP (AR+) and PC3 (AR-)) were analyzed. Cells were treated with capsaicin alone, or in combination with lycopene. Cells were incubated for up to 24 hours and proliferation assessed using MTS assay. Alterations in TRPV6, TRPV1, PSA, cell-regulatory molecules, and apoptotic markers were assessed by Western blot analysis. Results: There was a significant (P< 0.05) decrease in the proliferation of LNCaP and PC3 cells treated with capsaicin alone and in combination with lycopene (p< 0.001). Western blot analysis revealed a reduction (2-fold change) in PSA expression in LNCaP cells when treated with capsaicin alone. Interestingly this treatment resulted in the up-regulation in cell cycle marker p27 as well as cleaved PARP, in a time-dependent manner, demonstrating that the cells are undergoing cell cycle arrest and apoptosis. Further, we established that there is an up-regulation (3-fold change) of TRPV6 expression and an increase in TRPV1 expression with the treatment of capsaicin and lycopene alone and in combination. A plausible mechanism of action for this combination of capsaicin and lycopene is currently being investigated. Conclusions: We have shown for the first time that the TRPV6 receptor may play an important role in capsaicin and lycopene mediated cell-cycle arrest and apoptosis in human PCa cells. These studies may eventually help identify patients likely to benefit from the use of capsaicin in combination with lycopene. Ultimately these strategies may have a more meaningful impact on PCa morbidity and mortality than other therapeutic strategies currently in use. Funding: CIHR grant to VV. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5724.
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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) | 0.006 | 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".