| 赵振宇卢亦成△ 陈菊祥侯立军胡国汉骆纯.基于生物信息学技术筛选影响胶质母细胞瘤化疗敏感性
相关基因的研究[J].,2011,11(19):3601-3604 |
| 基于生物信息学技术筛选影响胶质母细胞瘤化疗敏感性
相关基因的研究 |
| Using Bioinformatics Method to Investigate the Genes Related toChemosensitivity in Human Glioblastoma |
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| DOI： |
| 中文关键词: 胶质母细胞瘤 基因芯片 生物信息学 化疗敏感性 |
| 英文关键词: Glioblastoma Genechip Bioinformatics Chemosensitivity |
| 基金项目:国家自然科学基金重点项目（30930094）, 国家863 项目( 2007AA02Z483) |
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| 中文摘要: |
| 目的：应用生物信息学技术筛选影响胶质母细胞瘤（GBM）化疗敏感性的相关基因。方法：对2 批胶质瘤患者BIOSTAR 基
因芯片进行分析。通过随访完善临床资料，筛选芯片中胶质母细胞瘤患者生存期长、短两组间的差异基因，明确差异基因参与的
功能和通路，并构建与烷化剂相关基因的信号传导网络，结合芯片数据、患者预后和信号传导网络，筛选GBM 化疗敏感性的相关
基因。结果：两组芯片中间差异基因有503 条。2 批芯片的差异基因主要参与62 项基因功能，主要参与31 条信号传导通路。通过
对差异基因功能、通路，烷化剂信号转导网络的分析，得到影响胶质母细胞瘤化疗敏感性的核心的差异基因IFNGR2、IL8、ITGA5、
TNFRSF1B。结论：通过严谨的实验设计和科学的统计学判别，结合患者完整的生存资料，本研究成功地应用生物信息学技术对基
因芯片的大量数据进行挖掘和分析，并筛选出了可能影响GBM 患者预后和化疗药物敏感性的基因，为进一步功能实验和患者个
体化治疗奠定了基础。 |
| 英文摘要: |
| Objective: Bioinformatics method was used to analyze data of cDNA microarray to investigate the genes related to survival
time and drug sensitivity in GBM. Methods: Biostar microarray of GBM patients were analyzed, and clinical data of these patients
in the microarray were perfected through long-term follow-up study. Differential expression genes between the long- and short- survival
groups were picked out, GO-analysis and pathway-analysis of the differential expression genes were performed. Drug-related signal
transduction networks were constructed. The methods combined three steps before were used to screen core genes that influenced
chemosensitivity. Results: There were 503 differentiate genes that influenced survival duration of GBM respectively. They mainly participated
in 62 gene functions and 31 signaling transduction pathways, based on which 4 core genes that influenced chemosensitivity of
GBM to Chemistry drug were obtained, including IFNGR2, IL8, ITGA5, TNFRSF1B. Conclusion: With complete clinical information,
mass data of cDNA microaray can be further analyzed by using bioinformatics method. These genes were found to predict the clinical
outcomes and have a significant influence on chemosensitivity in GBM. This study will provide a foundation not only for the further
functional research but also for prediction of prognosis and fulfillment of personalization chemotherapy in GBM. |
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