利用显微切割和cDNA微阵列技术分析基因表达以鉴定鼻咽癌中的候选分子标志物。
Analysis of gene expression identifies candidate molecular markers in nasopharyngeal carcinoma using microdissection and cDNA microarray.
作者信息
Zeng Zhaoyang, Zhou Yanhong, Xiong Wei, Luo Xiaomin, Zhang Wenling, Li Xiaoling, Fan Songqing, Cao Li, Tang Ke, Wu Minghua, Li Guiyuan
机构信息
Cancer Research Institute, Central South University, Changsha, Hunan, 410078, People's Republic of China.
出版信息
J Cancer Res Clin Oncol. 2007 Feb;133(2):71-81. doi: 10.1007/s00432-006-0136-2. Epub 2006 Jun 21.
PURPOSE
Microarray analysis was used to bring a comprehensive insight into underlying molecular mechanisms and obtain a whole assessment of aberrant gene expression in nasopharyngeal carcinoma (NPC).
METHODS
Combined with microdissection, gene expression profiles in 23 NPCs and 10 nontumor nasopharyngeal epithelial tissue samples were analyzed.
RESULTS
Gene expression patterns suggested the dysregulation of the GTP/GDP-bound Ras cycle and an abnormal hyperactivity of cell cycle in NPC. Alterations in the WNT pathway suggest that this pathway may be activated in NPC. A 6-feature weighted-voting model was chosen because it represented the main characteristics of NPCs and predicted NPCs most accurately from the nontumor tissues (33 of 34 correct calls; 97.1% accuracy, Fisher's exact test, P value = 8.389 x 10(-8)).
CONCLUSIONS
The data generated in this study represent a comprehensive list of genes aberrantly regulated in NPC. The 6-feature weighted-voting model may provide an extensive list of potential molecular markers for early diagnosis.
目的
采用微阵列分析全面深入了解鼻咽癌（NPC）潜在的分子机制，并对异常基因表达进行整体评估。
方法
结合显微切割技术，分析了23例NPC和10例非肿瘤性鼻咽上皮组织样本中的基因表达谱。
结果
基因表达模式提示NPC中GTP/GDP结合的Ras循环失调以及细胞周期异常亢进。WNT信号通路的改变表明该通路可能在NPC中被激活。选择了一个6特征加权投票模型，因为它代表了NPC的主要特征，并且能最准确地从非肿瘤组织中预测NPC（34次判断中有33次正确；准确率97.1%，Fisher精确检验，P值 = 8.389×10⁻⁸）。
结论
本研究生成的数据代表了NPC中异常调控基因的综合列表。6特征加权投票模型可能为早期诊断提供大量潜在分子标志物列表。
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