期刊文献+

乳腺癌特异性拷贝数变异致DNA修复失衡 被引量:1

Imbalance of DNA Repair Caused by Breast Cancer Specific Copy Number Variation
原文传递
导出
摘要 该研究通过整合4个功能诠释数据库(KEGG、GO、WIKI和PC)共发现56条DNA修复相关通路,确定了725个功能基因;并在筛查CCLE肿瘤细胞系和TCGA乳腺癌基因组数据的基础上,发现了89个乳腺癌特异性的拷贝数变异基因,其中包含了4个DNA修复相关的基因[BRCA1(breast cancer 1,early onset)、ERBB2(erb-b2 receptor tyrosine kinase 2)、G6PC(glucose-6-phosphatase,catalytic subunit)和PSME3(proteasome(prosome,macropain)activator subunit 3(PA28 gamma;Ki))]。进一步生物信息分析表明,乳腺癌基因组中17q21.31区域的拷贝数变异可通过改变BRCA1和PSME3基因的表达,从而影响DNA修复功能(如双链的断裂修复和DNA损伤相关检测点)。 We integrated 56 pathways related to DNA repair from databases (KEGG, GO, WIKI and PC), and identified 725 DNA repair genes. Based on the genomic data from CCLE and TCGA, we detected four candidates related to DNA repair (BRCAI, ERBB2, G6PC and PSME3) from 89 genes mapped to the copy number variation (CNV) restricted in breast cancer. Further interpretation revealed that the CNV of 17@1.31 could affect the DNA repair (such as "double strand breaks repair" and "DNA damage related detection point") by changing the expression of BRCA1 and PSME3 in breast cancer.
出处 《中国细胞生物学学报》 CAS CSCD 2015年第5期616-620,共5页 Chinese Journal of Cell Biology
基金 江西省自然科学基金(批准号:20114BAB205035 20133BCB23007) 江西省教育厅科研项目(批准号:GJJ12110 GJJ13091) 南昌大学大学生创新训练项目(批准号:2012185 201410403049)资助的课题~~
关键词 乳腺癌 拷贝数变异 DNA修复 breast cancer copy number variation DNA repair
  • 相关文献

参考文献13

  • 1Vargas AC, Reis-Filho JS, Lakhani SR. Phenotype-genotype correlation in familial breast cancer. J Mammary Gland Biol Neoplasia 2011; 16(1): 27-40.
  • 2James CR, Quinn JE, Mullan PB, Johnston PG, Harkin DP. BRCA1, a potential predictive biomarker in the treatment of breast cancer. Oncologist 2007; 12(2): 142-50.
  • 3Stranger BE, Forrest MS, Dunning M, Ingle CE, Beazley C, Thorne N, et al. Relative impact of nucleotide and copy number variation on gene expression phenotypes. Science 2007; 315(5813): 848-53.
  • 4Shlien A, Tabori U, Marshall CR, Pienkowska M, Feuk L, Novokmet A, et al. Excessive genomic DNA copy number variation in the Li-Fraumeni cancer predisposition syndrome. Proc Natl Acad Sci USA2008; 105(32): 11264-9.
  • 5Ciriello G, Miller ML, Aksoy BA, Senbabaoglu Y, Schultz N, Sander C. Emerging landscape of oncogenic signatures across human cancers. Nat Genet 2013; 45(10): 1127-33.
  • 6Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, et al. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 2012; 483(7391): 603-7.
  • 7Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal 2013; 6(269): pll.
  • 8Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M. Data, information, knowledge and principle: Back to metabolism in KEGG. Nucleic Acids Res 2014; 42(Database issue): D 199-205.
  • 9Kelder T, Pico AR, Hanspers K, van Iersel MP, Evelo C, Conklin BR. Mining biological pathways using WikiPathways web services. PLoS One 2009; 4(7): e6447.
  • 10Cerami EG, Gross BE, Demir E, Rodchenkov I, Babur O, Anwar N, et al. Pathway Commons, a web resource for biological pathway data. Nucleic Acids Res 2011; 39(Database issue): D685-90.

同被引文献8

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部