Abstract 5272: Chemopreventive activities of a polyphenol rich purified extract from olive oil processing on colon cancer cells
Bibliographic record
Abstract
Abstract Epidemiological studies showed that diet can play a relevant role in reducing the risk of developing colon cancer (CC) and lower rate of CC insurgence has been observed amongst populations living within the Mediterranean basin. Olive oil, a major component of the Mediterranean diet, is an abundant source of phenolic compounds. Olive oil production is associated with the generation of waste material, termed ‘olive mill wastewaters’ (OMWW), that have been reported to be enriched in polyphenols as well. Given the beneficial activity of polyphenols on human health, we investigated whether the use of different batches of purified extracts from OMWW, termed A009, might be effective in exerting chemopreventive activities in vitro and in vivo, on CC cell lines. Cell proliferation and survival were evaluated on A009 treated cells by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, while the induction of apoptosis was assessed by flow cytometry. Further, functional studies to investigate the ability of A009 to interfere with CC cell line adhesion, migration, sprouting and invasion were performed. Finally, the ability of A009 to interfere with CT-26 CRC tumour cell growth was assessed in vivo. Purified hydroxytyrosol, the major component in the A009 extracts, was used as a control. A009 inhibited cell proliferation, migration, invasion, adhesion and sprouting of CC cells along with the release of pro-angiogenic and pro- inflammatory cytokines (VEGF, IL-8) similar to hydroxytyrosol alone. In vivo, A009 inhibited CT-26 tumour growth in a significant manner over that of hydroxytyrosol alone. Our results show that A009 extracts exert promising chemopreventive properties, suggesting that different polyphenols act synergistically, improving their single component effects in CC cell lines. Finally, our results support the idea of repositioning a waste derived material for nutraceutical employment, with environmental and industrial cost management benefits. Citation Format: Barbara Bassani, Teresa Rossi, Daniela De Stefano, Daniele Pizzichini, Paola Corradino, Antonino Bruno, Douglas M. Noonan, Adriana Albini. Chemopreventive activities of a polyphenol rich purified extract from olive oil processing on colon cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5272. doi:10.1158/1538-7445.AM2017-5272
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".