Ma Li-Juan, Tian Yong-Quan, Xiao Jian-Yun, Li Wei, Zhang Hua, Zhang Xin, Huang Dong-Hai
Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410008, China.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2008 Sep;43(9):696-700.
To examine the gene expression profile of laryngeal squamous cell carcinoma (LSCC) by combination of laser capture microdissection (LCM) and microarray and to identify genetic changes in disease pathogenesis.
The study analysed 8 matched pairs of specimens of glottic carcinoma of larynx and histologically normal epithelium tissues adjacent to the carcinoma preserved in the RNA later reagent. A genome-wide transcriptome analysis was performed by probing 16 cDNA microarrays with fluorescent-labeled amplified RNA derived from laser capture microdissected cells. Real-time quantitative (RT-PCR) of tissue microarray was used to validate the reliability of cDNA microarrays.
Significant analysis of microarray (SAM) software and hierarchical cluster analysis of the expressed genes showed that 2351 genes was significantly expressed respectively according to different analysis method (false discover rate = 0.63%). A selected set of MMP12, KRT16, RARB, PRB1 genes was identified to be consistent with array data by RT-PCR.
The analysis of gene ontology and pathway distributions futher highlighted genes that may be critically important to laryngeal carcinogenesis. The results strongly suggest that this new approach may facilitate the identification of clinical molecular markers of disease and novel potential therapeutic targets for LSCC.
通过激光捕获显微切割（LCM）与微阵列相结合的方法检测喉鳞状细胞癌（LSCC）的基因表达谱，以确定疾病发病机制中的基因变化。
本研究分析了8对保存在RNA later试剂中的声门型喉癌标本及癌旁组织学正常上皮组织。通过用来自激光捕获显微切割细胞的荧光标记扩增RNA探测16个cDNA微阵列进行全基因组转录组分析。使用组织微阵列的实时定量（RT-PCR）来验证cDNA微阵列的可靠性。
微阵列显著性分析（SAM）软件和表达基因的层次聚类分析表明，根据不同分析方法分别有2351个基因显著表达（错误发现率=0.63%）。通过RT-PCR鉴定出一组选定的MMP12、KRT16、RARB、PRB1基因与阵列数据一致。
基因本体和通路分布分析进一步突出了对喉癌发生可能至关重要的基因。结果强烈表明，这种新方法可能有助于识别疾病的临床分子标志物以及LSCC的新潜在治疗靶点。
