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共词分析及网络分析法探测乳腺癌转移相关基因

Detection of breast cancer metastasis-related genes by co-word analysis and network analysis

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【作者】 程晶晶侯跃芳

【Author】 CHENG Jing-jing;HOU Yue-fang;Library of Affiliated Obstetrics and Gynecology Hospital of Zhejiang University Medical School;China Medical University Medical Informatics School;

【机构】 浙江大学医学院附属妇产科医院图书馆中国医科大学医学信息学院

【摘要】 目的:探测乳腺癌转移相关的基因,为乳腺癌转移的早期诊断和个性治疗提供参考。方法:检索Pub Med数据库获取文献,利用Meta Map进行概念匹配,下载匹配结果,并导入到数据分析软件,得到乳腺癌转移相关基因和基因-基因矩阵;使用Ucinet6建立乳腺癌转移相关基因的相互作用网络,分析网络的相关指标。结果:tp53、thra、erbb2、esr1、cdh1、egfr、nr4a1、cd69等是乳腺癌转移核心基因。结论:基于共词分析法能获得乳腺癌转移相关基因,但cd69对于乳腺癌转移的具体过程尚不明确,需要进一步验证。

【Abstract】 Objective To provide the reference for early diagnosis and treatment of breast cancer by detecting its metastasis-related genes. Methods Breast cancer metastasis- related genes were searched from Pub Med- covered papers with their conception matched according to the Meta Map. A gene-gene matrix was generated using data analysis software. An interaction network of breast cancer metastasis-related genes was established using Ucinet 6and its related indexes were analyzed. Results tp53,thra,erbb2,esr1,cdh1,egfr,nr4 al and cd69 were the core genes for breast cancer metastasis. Conclusion Co-word analysis can show breast cancer metastasis-related genes.However,the role of cd69 in breast cancer metastasis remains unclear and is thus necessary to be further confirmed.

  • 【文献出处】 中华医学图书情报杂志 ,Chinese Journal of Medical Library and Information Science , 编辑部邮箱 ,2016年03期
  • 【分类号】G353.1;R737.9
  • 【被引频次】2
  • 【下载频次】162
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