Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma.
Combination of microarray profiling and protein-protein interaction databases delineates the minimal discriminators as a metastasis network for esophageal squamous cell carcinoma.
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DOI：
10.3892/ijo_00000135
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发表时间：
2009
影响因子：
5.2
通讯作者：
F. Wong;Chi-Ying F. Huang;L. Su;Yu-Chung Wu;Yong-Shiang Lin;J. Hsia;hSin-ting tSai;Sheng-An Lee;Chi-Hung Lin;C. Tzeng;Po-min Chen;Yann-Jan Chen;Shu-Ching Liang;Jin-Mei Lai;C. Yen
中科院分区：
文献类型：
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作者：
F. Wong;Chi-Ying F. Huang;L. Su;Yu-Chung Wu;Yong-Shiang Lin;J. Hsia;hSin-ting tSai;Sheng-An Lee;Chi-Hung Lin;C. Tzeng;Po-min Chen;Yann-Jan Chen;Shu-Ching Liang;Jin-Mei Lai;C. Yen
对15例相邻正常/肿瘤匹配的食管鳞状细胞癌（ESCC）标本进行微阵列分析，鉴定出40个上调基因和95个下调基因。在同一组样本以及另外15个正常/肿瘤匹配样本中，通过定量实时反转录PCR验证微阵列测量结果显示一致性为95%。这些签名也可以用来分类最近报道的ESCC微阵列数据集。此外，这些分子特征被用作模板，利用蛋白质相互作用数据库POINT和POINeT来阐明它们对应的蛋白质-蛋白质相互作用（PPI）网络。结果，18个基因，其中6个在初始表达谱分析中未披露，被发现能够作为区分ESCC肿瘤与正常标本的最小鉴别器。在这些鉴别因子中，10个（BGN、COL1A1、COL1A2、MMP9、CD44、FN1、TGFBI、PXN、SPARC和VWF）与肿瘤转移相关，并以前四个分子为“枢纽”形成高度相互作用的网络。我们的研究不仅揭示了如何从基因表达谱中获得新的见解，而且还强调了一组与ESCC转移相关的高度相互作用的基因。
Microarray profiling of 15 adjacent normal/tumor-matched esophageal squamous cell carcinoma (ESCC) specimens identified 40 up-regulated and 95 down-regulated genes. Verification of the microarray measurement by quantitative real-time reverse transcription PCR in the same set of samples as well as an additional 15 normal/tumor-matched samples revealed >95% consistency. These signatures can also be used to classify a recently reported ESCC microarray dataset. Moreover, these molecular signatures were used as templates to elucidate their corresponding protein-protein interaction (PPI) networks using the PPI databases, POINT and POINeT. As a result, 18 genes, of which six were not disclosed in the initial expression profile analysis, were found to be able to serve as the minimal discriminators for distinguishing ESCC tumors from normal specimens. Of these discriminators, ten (BGN, COL1A1, COL1A2, MMP9, CD44, FN1, TGFBI, PXN, SPARC and VWF) were associated with tumor metastasis and formed a highly interactive network with the first four molecules as 'hubs'. Our study not only reveals how novel insights can be obtained from gene expression profiling, but also highlights a group of highly interacting genes associated with metastasis in ESCC.