Identification of Aflatoxin B1/Reactive oxygen species related genes and their effect on liver cancer using bioinformatic analysis
作者单位：Center for Global Health The Key Laboratory of Modern Toxicology Ministry of Education School of Public Health Nanjing Medical University
会议名称：《中国毒理学会第十次全国毒理学大会》
会议日期：2023年
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
摘 要：PURPOSE Oxidative stress is involved in all aspects of tumor development and progression, but it is also frequently involved in anti-cancer therapies. The link between oxidative stress(OS) and carcinogenesis is well known, but poorly understood. Furthermore, few studies on the role of OS in the development of HCC have been conducted;however, the relationship between OS and the pathogenesis of liver cancer is gaining attention. The aim of this study is to identify the genes responsible for the oxidative stress caused by aflatoxin B1(AFB1) exposure and their effects on liver *** and METHODS The expression profiles of AFB1 were downloaded from the Gene Expression Omnibus(GEO), and differentially expressed genes(DEGs) were identified by the GEO2R tool. Up-and down regulated genes as a result of AFB1 exposure were selected, and a heatmap showing their expression level was visualized using srploot. The identified DEGs were then subjected to gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses by using the Shing Go database for the determination of their biological functions and signaling pathways. This analysis helped in understanding the molecular mechanisms underlying AFB1 toxicity. The reactive oxygen species related gene sets were downloaded from the GSEA database. Identification of common interacting genes between differentially expressed AFB1 related genes and ROS gene sets was visualized by a Venn diagram using Fun-Rich software. To study the interacting AFB1/ROS related genes in hepatocellular carcinoma patients, the HCCDB, UALCAN, and human protein atlas databases were. By using R software, the cox regression for the AFB1/ROS combined genes was used to identify the hazard ratio of AFB1/ROS interacting genes in liver cancer patients from TCGA database, the significant high-risk genes were selected and GO, KEGG pathway enrichment *** of amino acids composition for the PCNA as a high-risk si