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Identification of critical genes and gene interaction networks that mediate osteosarcoma metastasis to the lungs

机译:鉴定介导骨肉瘤转移至肺的关键基因和基因相互作用网络

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摘要

Osteosarcoma (OS) is the most commonly diagnosed bone tumor in young adults under the age of 20. Metastasis is considered an important factor underlying cancer-associated morbidity and mortality, and, as a result, the survival rate of patients with metastatic OS is low. In spite of this, the mechanisms underlying metastasis in OS are currently not well understood. The present study compared gene expression levels between five non-metastatic and four metastatic OS tumor samples, using an Affymetrix microarray. A total of 282 genes were differentially expressed in the metastatic samples, as compared with the non-metastatic samples. Of these differentially expressed genes (DEGs), 212 were upregulated and 70 were downregulated. The following DEGs were associated with metastasis: Homeobox only protein; lysosomal-associated membrane protein-3; chemokine (C-C motif) ligand-18; carcinoembryonic antigen-related cell adhesion molecule-6; keratin-19; prostaglandin-endoperoxide synthase-2; clusterin; and nucleoside diphosphate kinase-1. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathway analyses were conducted, which identified 529 biological processes (P<0.01) and 10 KEGG pathways (P<0.05) that were significantly over-represented in the metastatic samples, as compared with the non-metastatic samples. Interaction networks for the DEGs were constructed using the corresponding GO terms and KEGG pathways, and these identified numerous genes that may contribute to OS metastasis. Among the enriched biological processes, four DEGs were consistently over-represented: Jun proto-oncogene, caveolin-1, nuclear factor-κB-inhibitor-α and integrin alpha-4; thus suggesting that they may have key roles in OS metastasis, and may be considered potential therapeutic targets in the treatment of patients with OS.
机译:骨肉瘤(OS)是20岁以下的年轻人中最常见的骨肿瘤,转移被认为是与癌症相关的发病率和死亡率的重要因素,因此,转移性OS患者的生存率很低。尽管如此,目前尚不十分了解OS转移的潜在机制。本研究使用Affymetrix微阵列比较了五个非转移性和四个转移性OS肿瘤样品之间的基因表达水平。与非转移样品相比,转移样品中共有282个基因差异表达。在这些差异表达基因(DEG)中,有212个被上调,有70个被下调。以下DEG与转移有关:仅同源盒蛋白;溶酶体相关膜蛋白3;趋化因子(C-C基序)配体-18;癌胚抗原相关细胞粘附分子6;角蛋白19;前列腺素-内过氧化物合酶-2;簇蛋白和核苷二磷酸激酶-1。随后,进行了基因本体论(GO)和《京都议定书》的基因与基因组百科全书(KEGG)富集途径分析,确定了529个生物学过程(P <0.01)和10个KEGG途径(P <0.05),这些过程在该研究中明显超标。转移样本,与非转移样本相比。 DEG的相互作用网络是使用相应的GO术语和KEGG途径构建的,它们确定了许多可能有助于OS转移的基因。在丰富的生物过程中,四个DEGs始终被过度代表:Jun原癌基因,caveolin-1,核因子-κB-抑制剂-α和整联蛋白α-4。因此表明它们可能在OS转移中起关键作用,并且可能被认为是OS患者治疗的潜在治疗靶标。

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