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NOP56在乳腺癌组织中的表达情况及对临床预后的意义
引用本文:曲杰,林萍萍,吕喜英,吴练练,李青山.NOP56在乳腺癌组织中的表达情况及对临床预后的意义[J].生物信息学,2019,17(2):122-130.
作者姓名:曲杰  林萍萍  吕喜英  吴练练  李青山
作者单位:河北承德医学院附属医院 肿瘤科,河北 承德 067000,河北承德医学院附属医院 肿瘤科,河北 承德 067000,河北承德医学院附属医院 肿瘤科,河北 承德 067000,武汉大学人民医院 消化内科,武汉 430060,河北承德医学院附属医院 肿瘤科,河北 承德 067000
基金项目:承德市科学技术研究与发展计划项目(No. 20157043).
摘    要:NOP56是一种与癌基因表达密切相关的核仁蛋白。本文通过对在线数据进行差异表达基因分析,发现NOP56在乳腺癌组织中高表达。再以NOP56的表达高低为表型,分析不同表型与临床预后的差异,结果表明NOP56高表达与乳腺癌不良临床病理参数和预后密切相关。通过富集分析获得NOP56的蛋白互作网络、计算共表达基因语义相似性。最后通过在线数据库获得NOP56及其共表达基因的的临床靶向药物放线菌素D(更生霉素)。这些结果为乳腺癌防治提供了潜在的新的预测指标,完善了临床靶向药物使用的分子机制,为靶向药物的临床使用提供依据和线索。

关 键 词:乳腺癌  NOP56核糖核蛋白  生物信息学  预后  靶向药物
收稿时间:2018/6/30 0:00:00
修稿时间:2018/12/15 0:00:00

Expression of NOP56 in breast cancer and its significance for clinical prognosis
Institution:Department of Oncology, Affiliated Hospital of Chengde Medical College, Chengde 067000, Hebei,China,Department of Oncology, Affiliated Hospital of Chengde Medical College, Chengde 067000, Hebei,China,Department of Oncology, Affiliated Hospital of Chengde Medical College, Chengde 067000, Hebei,China,Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan 430060, China and Department of Oncology, Affiliated Hospital of Chengde Medical College, Chengde 067000, Hebei,China
Abstract:NOP56 is a nucleolar protein that closely relates to the expression oncogene. In this paper, the differential expression gene analysis of the data from online database revealed that NOP56 is overexpressed in breast cancer tissues. The expression of NOP56 was used as a phenotype to analyze the difference between different phenotypes and clinical prognosis. Results showed that the high expression of NOP56 was closely related to the poor clinical pathological parameters and prognosis of breast cancer. The protein interaction network of NOP56 was obtained by differential gene enrichment analysis, and the semantic similarity of co-expressed genes was calculated. Finally, the clinically targeted drug actinomycin D (dactinomycin) of NOP56 and its co-expressed genes were obtained from an online database. These results provide potential new predictive indicators for breast cancer prevention and treatment, improve the molecular mechanism of clinical targeted drug use, and provide evidence and clues for the clinical use of targeted drugs.
Keywords:Breast cancer  NOP56  Bioinformatics  Prognosis  Targeted drug
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