Gene expression profile analysis of the bone microenvironment in patients with spinal metastases.

Gene expression profile analysis of the bone microenvironment in patients with spinal metastases.
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脊柱转移瘤患者骨微环境基因表达谱分析

DOI:
10.3892/ol.2017.7267
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发表时间:
2018-01
期刊:
影响因子:
2.9
通讯作者:
Dong J
Dong J
中科院分区:
医学4区
文献类型:
--
作者:
Liu W;Liang Y;Bian C;Jiang L;Zheng G;Dong J

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本研究旨在确定与脊柱转移相关的潜在分子机制。应用基因芯片技术检测了5例脊柱转移癌患者和3例正常对照脊柱松质骨的基因表达谱,并进行了比较。利用生物信息学分析筛选出差异表达基因(Deg),然后进行聚类分析、基因本体论(GO)术语和京都百科全书的基因和基因组路径浓缩分析。最后,构建了蛋白质-蛋白质相互作用网络,并对其进行了分析。共鉴定出152个上调和388个下调的DEGS。聚类分析表明,脊柱转移瘤患者和正常患者的基因表达谱有显著差异。上调的DEGS中丰富的GO项与细胞死亡有关,而下调的DEGS中丰富的GO项与细胞周期有关。上调的DEGS富含与紧密连接相关的信号通路,下调的DEGS富含与卟啉代谢相关的信号通路。在构建的PPI网络中,转录因子AP-1和增殖细胞核抗原分别与上调和下调的DEGS具有最高的连接度。本研究的基因表达谱数据为脊柱转移的潜在分子机制提供了新的见解,并将有助于开发新的抗癌治疗方法。
The present study aimed to identify the underlying molecular mechanisms associated with spinal metastases. Gene expression profiles in cancellous bone samples from the spines of five patients with spinal metastases, with different primary cancers, and three normal control patients were measured using microarray analysis and subsequently compared. The differentially expressed genes (DEGs) identified were filtered using bioinformatics analyses followed by cluster analysis, gene ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Finally, a protein-protein interaction network was constructed and analyzed. A total of 152 upregulated and 388 downregulated DEGs were identified. The cluster analysis demonstrated a marked difference between the gene expression profiles of samples from patients with spinal metastases and those from normal patients. The GO terms enriched in the upregulated DEGs were associated with cell death, and those enriched in the downregulated DEGs were associated with the cell cycle. The upregulated DEGs were enriched in signaling pathways associated with tight junctions, and the downregulated DEGs were enriched in signaling pathways associated with porphyrin metabolism. In the PPI network constructed, transcription factor AP-1 and proliferating cell nuclear antigen had the highest connectivity degrees with the upregulated and downregulated DEGs, respectively. The gene expression profile data from the present study provides new insights into the underlying molecular mechanisms of spinal metastases, and will aid in the development of novel anticancer treatments.
DOI: 10.1093/bioinformatics/btq675
发表时间: 2011-02-01
期刊: Bioinformatics (Oxford, England)
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