Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach

Abbas, Phirdaous and Hashim, Yumi Zuhanis Has-Yun and Mansur, Nurul Azwani Nadia and Noorbatcha, Ibrahim Ali and Rowland, Ian and Gill , Chris (2010) Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach. In: 3rd International Conference on Advancement in Science and Technology (iCAST) 2010, 27-29 November 2010, Vistana Hotel, Kuantan, Pahang.

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Abstract

Globally, colon cancer is the third common cancer for both males and females. Recent studies showed that Mediterranean population has lower rate of colon cancer and this is believed to be due to high olive oil consumption. The special characteristic of olive oil, apart from its monounsaturated fatty acids (MUFA), is its phenolics content known as olive oil phenollics (OVP). Study on human adenocarcinoma cells (HT115) suggest that phenols from virgin olive oil are capable of inhibiting the invasion colon cancer cells with effects may be mediated at different levels of the invasion stage, particularly the cell spreading stage. Microarray data collected from Hashim (2006) has proven that OVP caused differential expression in genes associated with cell cycle, apoptosis, cytoskeleton, and motility (spreading/migration). However, the results from the cell culture work on migration was limited (OVP effect on cancer cell spreading was only studied at 24 h) leading to insufficiency of data to further investigate the possible regulation of cell spreading at gene level. Therefore, a simulation approach using MATLAB and time series method was used in this study to investigate a selection of genes ACTB, TUFM, PTMA, TGFBI, IGFBP5, ACP2, CLNS1A, HSPH1, RHOA, RHOC, CLTC and its potential pathways involved in the anti-spreading effects of OVP observed. It was found that the genes were involved in redundant regulatory network leading to the anti-spreading effects of OVP. This suggests that the combination of MATLAB simulation and time series method are valuable tools in pathway analysis particularly complementing the biological assay and gene expression data. The redundant regulatory network of genes observed in this study is important as they portray potential target genes for development of future therapeutic for colon cancer while also adding on the evidence that OVP may prevent and or inhibit cancer cell spreading through certain gene regulatory pathways.

Item Type:	Conference or Workshop Item (Poster)
Additional Information:	3774/20454
Uncontrolled Keywords:	olive oil phenolics (OVP)
Subjects:	R Medicine > R Medicine (General) R Medicine > RB Pathology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User:	DR YUMI ZUHANIS HAS-YUN HASHIM
Date Deposited:	18 Jun 2013 11:58
Last Modified:	02 Jul 2013 13:53
URI:	http://irep.iium.edu.my/id/eprint/20454

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