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作 者:徐明[1] 薛波新[1] 阳东荣[1] 朱进[1] XU Ming;XUE Boxin;YANG Dongrong;ZHU Jin(Department of Urology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China)
出 处:《现代泌尿生殖肿瘤杂志》2022年第1期8-15,共8页Journal of Contemporary Urologic and Reproductive Oncology
基 金:国家自然科学基金面上项目(81773221);苏州市科技计划项目(SYS2020139)。
摘 要:目的挖掘肾透明细胞癌(ccRCC)中具有预后预测价值的免疫相关基因。方法从遗传病控制(GDC)网站下载534例ccRCC基因表达数据和相应的临床信息,以ESTIMATE算法对所下载的数据进行免疫评分和基质评分。按照评分高低分为高分组和低分组,研究其对总生存和无病生存期的影响,确定差异表达与预后显著相关基因。应用DAVID数据库对差异表达基因进行功能富集分析,采用Kaplan-Meier法进行生存分析,在STRING数据库进行蛋白质-蛋白质相互作用(PPI)分析,并在GEO数据集中进一步验证。结果挖掘出12个可预测ccRCC无病生存期的免疫微环境相关基因(BCL3、F3、HLF、HNRNPAB、SHOX2、SNRPB2、USP5、ALX1、FAM50A、USP39、DBF4、SPIN1)(P<0.05),1个蛋白互作网络枢纽基因(RAC3)。其中DBF4、USP5和HLF基因均出现于TCGA、GEO数据库和差异表达的预后PPI网络中。结论本研究所筛选的核心免疫微环境相关基因可能与ccRCC预后相关,其中HLF、USP5、DBF4和RAC3有望成为ccRCC治疗的新靶点,其具体机制尚需进一步实验阐明。Objective To screen immune-related genes with prognostic prediction value in clear cell renal cell carcinoma(ccRCC).Methods Five hundred and thirty-four cases of ccRCC gene expression data and corresponding clinical information were downloaded from the GDC website,and the ESTIMATE algorithm was used to perform immune score and matrix score on the data.According to the scores,they were divided into high group and low group.The impact on overall survival and disease-free survival(DFS)was studied,and the genes that were significantly related to differential expression and prognosis were identified.The DAVID database was used for functional enrichment analysis of differentially expressed genes,the Kaplan-Meier tool was used for survival analysis,and the STRING database was used for protein-protein interaction analysis.The GEO dataset was used for further verification.Results Twelve immune microenvironment-related genes(BCL3,F3,HLF,HNRNPAB,SHOX2,SNRPB2,USP5,ALX1,FAM50A,USP39,DBF4,SPIN1)that can predict ccRCC DFS(P<0.05),and 1 protein interaction network hub gene(RAC3)were discovered.Among them,DBF4,USP5 and HLF genes all appeared in the TCGA,GEO database and the differentially expressed prognostic PPI network.Conclusions The core immune microenvironment-related genes screened in this study may be related to the prognosis of ccRCC.Among them,HLF,USP5,DBF4 and RAC3 are expected to become new targets for ccRCC therapy,but their specific mechanisms need further experimental elucidation.
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