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基于生物信息学技术挖掘番茄红素对前列腺癌细胞的作用靶点 被引量:3

Mining targets of lycopene on prostate cancer cells based on bioinformatics technique
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摘要 目的:前列腺癌是泌尿系统中发病率最高的肿瘤,番茄和其他含番茄红素的食物对预防前列腺癌和减缓其发展进程有效,但是番茄红素作用于前列腺癌的机制尚不明确。本研究利用生物信息学方法深入挖掘番茄红素作用于前列腺癌的潜在靶点,有利于进一步阐明其在前列腺保护中的分子机制以及潜在的其它应用。方法:从GEO数据库检索并下载番茄红素补充和安慰剂对照的列腺癌患者前后的癌组织表达组基因芯片数据集,并利用加权基因共表达网络分析,构建基因共表达模块,并对性状高关联模块进行GO及KEGG聚类分析和节点基因筛选。结果:利用数据集GSE27140中114例样本,共构建了16个共表达模块,其中2个模块与性状关联度较高,参与上皮细胞-间充质细胞转变、姐妹染色单体分离、细胞衰老等信号通路。进一步对模块基因连通性分析发现2个节点基因。结论:本研究筛选出番茄红素治疗前列腺癌的潜在作用靶点,为阐明番茄红素的作用机制提供了有意义的线索。 Objective:Prostate cancer is the most common tumor in the urinary system.Tomato and other foods containing lycopene are effective in preventing prostate cancer and slowing down its development,but the mechanism of action of lycopene on prostate cancer is not clear.In this study,bioinformatics methods were used to explore the potential targets of lycopene acting on prostate cancer,which is helpful to further elucidate the molecular mechanism of action of lycopene in prostate protection and other potential applications.Methods:The microarray dataset of gene expression from prostate cancer tissues of patients supplemented with lycopene and placebo as control before and after treatment were searched for and downloaded from gene expression omnibus(GEO).The gene co-expression module was constructed by weighted gene co-expression network analysis.GO and KEGG cluster analyses and hub gene screening were performed on modules highly associated with traits.Results:A total of 16 co-expression modules were constructed from 114 samples in the dataset GSE27140.Two of the co-expression modules were highly associated with traits,which involved in epithelial-mesenchymal cell transformation,sister chromatid separation,cell senescence and other signaling pathways.Two hub genes were identified through further analysis of module gene connectivity.Conclusion:This study has screened out the potential targets of lycopene in the treatment of prostate cancer,which provides a meaningful clue for elucidating the mechanism of action of lycopene.
作者 肖仕全 王利 刘太行 俞炽阳 付利娟 Xiao Shiquan;Wang Li;Liu Taihang;Yu Zhiyang;Fu Lijuan(Center of Reproduction,the Third Affiliated Hospital,Chongqing Medical University;Teaching and Research Section of Traditional Chinese Medicine,Collegeg of Traditional Chinese Medicine,Chongqing Medical University)
出处 《重庆医科大学学报》 CAS CSCD 北大核心 2019年第7期878-884,共7页 Journal of Chongqing Medical University
基金 重庆市科委基础与前沿研究计划资助项目(编号:cstc2016jcyjA0247)
关键词 前列腺癌 番茄红素 加权基因共表达网络分析 生物信息 prostate cancer lycopene weighted correlation network analysis bioinformatics
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