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肿瘤表观遗传学研究热点的聚类分析 被引量:2

Clustering Analysis on Hot Research on Tumor Epigenetics
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摘要 [目的]以Web of Science中的SCIE数据库为数据来源,分析肿瘤表观遗传学热点研究问题以及研究趋势。[方法]从SCIE数据库收录的肿瘤表观遗传学研究文献提取了相关的题录信息和研究关键词,利用SPSS18.0软件进行共词聚类分析,提取高频主题词,生成共现矩阵、共词聚类。[结果]2003~2007年的聚类前5类类团分别为肿瘤表观遗传、继承、DAN甲基化、表观遗传过程和组蛋白修饰;而2008~2012年的聚类前7类类团分别肿瘤表观遗传、非编码RNA、DAN甲基化、组蛋白修饰、低甲基化、表观遗传过程和组蛋白乙方酰化,说明表观遗传、低甲基化与肿瘤表观遗传、肿瘤表观遗传过程以及组蛋白修饰与肿瘤表观遗传已经成为肿瘤表观遗传学研究领域的研究热点,也是肿瘤表观遗传学研究学者比较关注的内容。[结论]肿瘤表观遗传学的研究目前除了对肿瘤表观遗传过程、印记丢失等方面进行分析之外,主要侧重于肿瘤表观遗传学的形成原因分析,具体包括低甲基化与肿瘤的发生、组蛋白修饰与肿瘤的发生以及非编码RNA与肿瘤的发生研究。肿瘤表观遗传学的研究正由原来单一化、表面化的研究逐渐转向深层次、复杂化的研究。 [Purpose] To analyze the hot research issues and its research trend of tumor epigenetic. [Methods] Key words and related bibliographic information on tumor epigenetic research litera- tures were selected from SCIE database and analyzed by SPSS18.0 software for co-word clustering; then high frequency MeSH wre extracted to generate the co-occurrence matrix and co-word cluster- ing. [Results] The top 5 clustered word groups from 2003 to 2007 were tumor epigenetics, inheri- tanc, DNA methylation, epigenetic processes and histone modification respectively; and the top 7 clustered word groups from 2008 to 2012 were tumor epigenetics, non-coding RNAs, DNA methy- lation, histone modification, hypomethylation, epigenetics processes and histone acetylation respec- tively. That showed epigenetics, hypomethylation and tumor epigenetics, tumor epigenetics process- es and histone modification and tumor epigenetics had become the focus in the field of tumor epi- genetics research and the concern of the tumor epigenetics researchers. [Conclusion] Researches on tumor epigenetics at present are mainly focused on analysis of reasons for the formation of tumor epigenetics, specifically on hypomethylation and tumorigenesis, histone modification and tumorigen- esis, and non-coding RNAs and tumorigenesis in addition to researches on tumor epigenetic process- es, loss of impriting and so on. Tumor epigenetics research is gradually turning from the simplified, superficial research to the deep and complicated one.
作者 李晓丽
出处 《中国肿瘤》 CAS 2013年第4期284-287,共4页 China Cancer
关键词 肿瘤表观遗传学 高频主题词 共现矩阵 聚类分析 tumor epigenetics high-frequency co-occurrence matrix: clustering analysis
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参考文献5

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