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

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...

Full description

Bibliographic Details
Main Authors:	Abbas, Phirdaous, Hashim, Yumi Zuhanis Has-Yun, Mansur, Nurul Azwani Nadia, Noorbatcha, Ibrahim Ali, Rowland, Ian, Gill , Chris
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	R Medicine (General) RB Pathology
Online Access:	http://irep.iium.edu.my/20454/ http://irep.iium.edu.my/20454/ http://irep.iium.edu.my/20454/1/Anti-spreading_effects_of_olive_oil_phenolics_%28OVP%29.pdf

id	iium-20454
recordtype	eprints
spelling	iium-204542013-07-02T05:53:09Z http://irep.iium.edu.my/20454/ Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach Abbas, Phirdaous Hashim, Yumi Zuhanis Has-Yun Mansur, Nurul Azwani Nadia Noorbatcha, Ibrahim Ali Rowland, Ian Gill , Chris R Medicine (General) RB Pathology 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. 2010 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/20454/1/Anti-spreading_effects_of_olive_oil_phenolics_%28OVP%29.pdf 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. http://www.iium.edu.my/icast/2010/index.php?option=com_content&view=article&id=14&Itemid=17
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	R Medicine (General) RB Pathology
spellingShingle	R Medicine (General) RB Pathology Abbas, Phirdaous Hashim, Yumi Zuhanis Has-Yun Mansur, Nurul Azwani Nadia Noorbatcha, Ibrahim Ali Rowland, Ian Gill , Chris Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
description	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.
format	Conference or Workshop Item
author	Abbas, Phirdaous Hashim, Yumi Zuhanis Has-Yun Mansur, Nurul Azwani Nadia Noorbatcha, Ibrahim Ali Rowland, Ian Gill , Chris
author_facet	Abbas, Phirdaous Hashim, Yumi Zuhanis Has-Yun Mansur, Nurul Azwani Nadia Noorbatcha, Ibrahim Ali Rowland, Ian Gill , Chris
author_sort	Abbas, Phirdaous
title	Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
title_short	Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
title_full	Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
title_fullStr	Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
title_full_unstemmed	Anti-spreading effects of olive oil phenolics (OVP) in colon cancer cells: evidence from MATLAB simulation and time-series approach
title_sort	anti-spreading effects of olive oil phenolics (ovp) in colon cancer cells: evidence from matlab simulation and time-series approach
publishDate	2010
url	http://irep.iium.edu.my/20454/ http://irep.iium.edu.my/20454/ http://irep.iium.edu.my/20454/1/Anti-spreading_effects_of_olive_oil_phenolics_%28OVP%29.pdf
first_indexed	2023-09-18T20:30:44Z
last_indexed	2023-09-18T20:30:44Z
_version_	1777408718836596736

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

Similar Items