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2001—2010年结直肠癌易感基因的生物信息学分析[J]. 肿瘤防治研究, 2013, 40(11): 1094-1097. DOI: 10.3971/j.issn.1000-8578.2013.11.017
引用本文: 2001—2010年结直肠癌易感基因的生物信息学分析[J]. 肿瘤防治研究, 2013, 40(11): 1094-1097. DOI: 10.3971/j.issn.1000-8578.2013.11.017
Bioinformatics Analysis of Susceptibility Genes in Colorectal Cancer from 2001 to 2010[J]. Cancer Research on Prevention and Treatment, 2013, 40(11): 1094-1097. DOI: 10.3971/j.issn.1000-8578.2013.11.017
Citation: Bioinformatics Analysis of Susceptibility Genes in Colorectal Cancer from 2001 to 2010[J]. Cancer Research on Prevention and Treatment, 2013, 40(11): 1094-1097. DOI: 10.3971/j.issn.1000-8578.2013.11.017

2001—2010年结直肠癌易感基因的生物信息学分析

Bioinformatics Analysis of Susceptibility Genes in Colorectal Cancer from 2001 to 2010

  • 摘要: 目的 通过对2001—2010国内外涉及的结直肠癌易感基因的临床研究资料进行生物信息学分析,为寻找结直肠癌预警关键基因提供参考。方法 以Embase、Pubmed为文献检索数据库(2001年1 月—2010年12月),对纳入的1 453篇文献所涉及的基因进行生物信息学分析。结果 1 453篇文献共涉及185个结直肠癌易感基因,其蛋白主要涉及细胞周期调控、细胞周期、细胞增殖、细胞周期负调控、内源性刺激反应、DNA损伤反应、DNA修复、凋亡调节等。Cytoscape分析Hub基因共有31个,bottleneck基因有15个。结论 通过对结直肠癌易感基因的生物信息学分析,寻找其敏感和特异的基因及基因组合是目前的需要和以后的发展趋势。

     

    Abstract: Objective To review the clinical research literatures on cancer susceptibility genes in colorectal cancer over the past decade and to provide reference for prevention of colorectal cancer. Methods Literatures were searched in Embase and Pubmed from January, 2001 to December, 2010. In this Bioinformatics analysis, 1453 literatures involved were managed with Endnote X3 and data was processed with Excel 2007. Results One hundred and eighty-fi ve colorectal cancer susceptibility genes were selected from 1453 literatures. The proteins mainly involved cell cycle regulation, cell cycle, cell proliferation, negative regulation of cell cycle, response to endogenous stimulus, response to DNA damage, DNA repair, apoptosis regulation, etc. There were 31 Hub genes and 15 bottleneck genes by Cytoscape analysis. Conclusion Searching for sensitive and specific genes and multi-gene profiles will be an important target in researches on colorectal cancer susceptibility genes in the future.

     

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