Erdem N Fazil, Carlson Eric R, Gerard David A
Department of Oral and Maxillofacial Surgery, University of Tennessee Graduate School of Medicine, University of Tennessee Cancer Institute, Knoxville, TN, USA.
J Oral Maxillofac Surg. 2008 May;66(5):918-27. doi: 10.1016/j.joms.2007.12.036.
The gene expression of 3 oral squamous cell carcinoma (OSCC) human cell lines, BHY, HN, and HSC-3, were studied based on their reported ability to invade adjacent bone or metastasize to cervical lymph nodes and/or distant organs.
The characteristics of each cell line were confirmed on scid mice using micro-positron emission tomography (PET)/computerized tomography (CT) imaging techniques. Complimentary DNA (cDNA) microarray techniques were used to determine the gene expression profile differences between each of the three OSCC cell lines.
BHY, HN, and HSC-3 cell lines expressed 139, 214, and 128 up-regulated genes; and 117, 262, and 117 down-regulated genes, respectively. The clusterization of data showed that there are 13 genes that are up-regulated and 83 genes that are down-regulated in all 3 OSCC cell lines. Collection of genes organized by pathway may cause aggregate evaluation of anomalies. Thus the pathway analysis performed for each cell line based on cDNA microarray results showed BHY, HN, and HSC-3 cell lines to have 8, 10, and 3 up-regulated pathways and 3, 9, and 6 down-regulated pathways, respectively.
This study showed that cDNA microarray analysis is an effective tool for mapping molecular signatures. With this technique it is possible to observe the entire genome of a malignant tumor so as to appreciate the simultaneous interactions among thousands of genes.
基于3种口腔鳞状细胞癌(OSCC)人细胞系BHY、HN和HSC-3报道的侵袭相邻骨或转移至颈部淋巴结和/或远处器官的能力,研究其基因表达情况。
使用微型正电子发射断层扫描(PET)/计算机断层扫描(CT)成像技术在无胸腺小鼠身上确认每种细胞系的特征。采用互补DNA(cDNA)微阵列技术确定三种OSCC细胞系之间的基因表达谱差异。
BHY、HN和HSC-3细胞系分别表达139个、214个和128个上调基因;以及117个、262个和117个下调基因。数据聚类显示,在所有3种OSCC细胞系中,有13个基因上调,83个基因下调。按通路组织的基因集合可能会导致对异常情况的综合评估。因此,基于cDNA微阵列结果对每种细胞系进行的通路分析显示,BHY、HN和HSC-3细胞系分别有8条、10条和3条上调通路以及3条、9条和6条下调通路。
本研究表明,cDNA微阵列分析是绘制分子特征的有效工具。利用该技术可以观察恶性肿瘤的整个基因组,从而了解数千个基因之间的同时相互作用。