Investigation on the effects of Aflatoxin B1 on the Hepatocellular carcinoma based on systems biology Approach

Abstract

Background: Hepatocellular carcinoma (HCC) is one of the most well-known primary liver malignancies worldwide. Its prevalence is reaching alarming level and has become a global concern. Therefore, it is important to find biomarkers that increase the incidence of the disease due to the presence of aflatoxin B1 in liver cell cancer. Therefore, by biological calculation methods, signaling pathways and genes involved in this disease can be obtained and this information can be used to design drugs and other treatment methods. Goal: finding gene modules that are effective in the exposure of aflatoxin B1 in hepatocellular carcinoma and the study of biological pathways involved in this disease has been defined as the aim of the study that can be used to use drugs that are created from these pathways. Have an effect and minimize drug side effects. Methods: In this study, genes that have statistically significant expression compared to other genes are identified. Finally, statistical algorithms in the extraction of significant genes effective as biomarkers to study the effects of aflatoxin B1 and signaling pathways involved in the disease. Hepatocellular carcinoma (HCC) is used. Results: The results of the present study show that the genes that are ultimately classified and extracted as the most important genes are effective in citing other studies in HCC and the highest number of genes among the compared groups. The different expressed genes belong to group (2) with 718 different expressed genes, which can be justified according to the titles of the compared and studied genes. Conclusion: The data obtained from our study showed that the genes that are ultimately the most influential genes in each group, have been proven in other studies to be effective in disease (HCC) and protein communication networks. The protein predicted by the researcher is also present between them.