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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
【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.
【Key words】 Co-word analysis; Network analysis; Breast cancer metastasis; Gene; Ucinet; Visualization,AND Neoplasm Metastasis [Mesh ] AND humans[mesh]"为检索策略( 1966 年 1 月 1 日-2015 年 7月 31 日) ,在 Pub Med 共检索到 375 篇乳腺癌转移相关基因文献,以 MEDLINE 格式进行保存,作为挖掘样 本。 将 MEDLINE 格 式 文 本 上 传 到 在 线Meta Map,选择 UMLS 涵盖的所有词表及所有语义类型,进行概念匹配,得到所保存文献题名和摘要的UMLS 概念匹配结果。;
- 【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