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Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements
The burden of colorectal cancer (CRC) is increasing worldwide especially in developing countries. This phenomenon may be attributable to lifestyle, dietary and environmental risk factors. We aimed to determine the level of 25 trace elements, their interaction with environmental risk factors, and sub...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596468/ https://www.ncbi.nlm.nih.gov/pubmed/33122698 http://dx.doi.org/10.1038/s41598-020-75760-9 |
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author | Nawi, Azmawati Mohammed Chin, Siok Fong Mazlan, Luqman Jamal, Rahman |
author_facet | Nawi, Azmawati Mohammed Chin, Siok Fong Mazlan, Luqman Jamal, Rahman |
author_sort | Nawi, Azmawati Mohammed |
collection | PubMed |
description | The burden of colorectal cancer (CRC) is increasing worldwide especially in developing countries. This phenomenon may be attributable to lifestyle, dietary and environmental risk factors. We aimed to determine the level of 25 trace elements, their interaction with environmental risk factors, and subsequently develop a risk prediction model for CRC (RPM CRC). For the discovery phase, we used a hospital-based case–control study (CRC and non-CRC patients) and in the validation phase we analysed pre-symptomatic samples of CRC patients from The Malaysian Cohort Biobank. Information on the environmental risk factors were obtained and level of 25 trace elements measured using the ICP-MS method. CRC patients had lower Zn and Se levels but higher Li, Be, Al, Co, Cu, As, Cd, Rb, Ba, Hg, Tl, and Pb levels compared to non-CRC patients. The positive interaction between red meat intake ≥ 50 g/day and Co ≥ 4.77 µg/L (AP 0.97; 95% CI 0.91, 1.03) doubled the risk of CRC. A panel of 24 trace elements can predict simultaneously and accurate of high, moderate, and low risk of CRC (accuracy 100%, AUC 1.00). This study provides a new input on possible roles for various trace elements in CRC as well as using a panel of trace elements as a screening approach to CRC. |
format | Online Article Text |
id | pubmed-7596468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75964682020-10-30 Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements Nawi, Azmawati Mohammed Chin, Siok Fong Mazlan, Luqman Jamal, Rahman Sci Rep Article The burden of colorectal cancer (CRC) is increasing worldwide especially in developing countries. This phenomenon may be attributable to lifestyle, dietary and environmental risk factors. We aimed to determine the level of 25 trace elements, their interaction with environmental risk factors, and subsequently develop a risk prediction model for CRC (RPM CRC). For the discovery phase, we used a hospital-based case–control study (CRC and non-CRC patients) and in the validation phase we analysed pre-symptomatic samples of CRC patients from The Malaysian Cohort Biobank. Information on the environmental risk factors were obtained and level of 25 trace elements measured using the ICP-MS method. CRC patients had lower Zn and Se levels but higher Li, Be, Al, Co, Cu, As, Cd, Rb, Ba, Hg, Tl, and Pb levels compared to non-CRC patients. The positive interaction between red meat intake ≥ 50 g/day and Co ≥ 4.77 µg/L (AP 0.97; 95% CI 0.91, 1.03) doubled the risk of CRC. A panel of 24 trace elements can predict simultaneously and accurate of high, moderate, and low risk of CRC (accuracy 100%, AUC 1.00). This study provides a new input on possible roles for various trace elements in CRC as well as using a panel of trace elements as a screening approach to CRC. Nature Publishing Group UK 2020-10-29 /pmc/articles/PMC7596468/ /pubmed/33122698 http://dx.doi.org/10.1038/s41598-020-75760-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nawi, Azmawati Mohammed Chin, Siok Fong Mazlan, Luqman Jamal, Rahman Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title | Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title_full | Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title_fullStr | Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title_full_unstemmed | Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title_short | Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
title_sort | delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596468/ https://www.ncbi.nlm.nih.gov/pubmed/33122698 http://dx.doi.org/10.1038/s41598-020-75760-9 |
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