- Poster presentation
- Open Access
The prevalence of CMV and EBV among the patients with the colorectal cancer; a molecular approach
© Arastefar et al. 2015
- Published: 4 November 2015
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- Colorectal Cancer
- Colon Cancer
- Rectum Cancer
- Prevalence Rate
- Healthy Individual
Nowadays, colorectal cancer is known as one of the most common types of gastrointestinal cancer with high mortality rate worldwide. Recently, the association between the development of the cancer and viral infections has been widely investigated with controversial results. The current study was conducted to detect the association of CMV and EBV prevalence with colorectal cancer in the respective patients, and compare the prevalence rates of the two conditions between patients and healthy individuals.
A total of 80 tissue blocks (58 from colon and 22 from rectum) of the patients with colorectal cancer and 80 samples (58 from colon and 22 from rectum) from normal counterparts were obtained. The block samples were deparaffinized and the viral DNA was extracted using a commercially available kit. CMV and EBV nucleic acids were detected by nested-PCR method using specific outer and inner primer sets. The results were statistically compared between different groups by SPSS for Windows (version 16, SPSS Inc., Chicago, IL, USA).
CMV DNA was detected in 7/80 (8.7%) of patients; all in colon cancer group. Furthermore, EBV DNA was detected in 70/80 (87.5%) of patients, consisting of 50/58 (5%) with colon cancer and 20/22 (90.9%) with rectum cancer. Among the healthy individuals, the CMV and EBV nucleic acids were detected in 4/80 (5%) and 65/80 (81.25%), respectively. The statistical analysis showed no significant difference between the prevalence rates of CMV and EBV infections in cancer patients and the healthy group (p > 0.05).
Analysis of EBV infection prevalence among different studied groups.
Analysis of CMV infection prevalence among different studied groups.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.