Prediction of lymph node metastasis and perineural invasion of biliary tract cancer by selected features from cDNA array data
Prediction of lymph node metastasis and perineural invasion of biliary tract cancer by selected features from cDNA array data
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DOI：
10.1016/j.jss.2004.06.003
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发表时间：
2004-12-01
影响因子：
2.2
通讯作者：
Moriuchi, T
中科院分区：
文献类型：
--
作者：
Murakawa, K;Tada, M;Moriuchi, T
目标。为了更好地了解胆道癌的恶性本质，评价基因表达谱预测胆道癌恶性程度的可行性。我们研究了37例胆道癌(胆管癌15例，胆囊癌11例，壶腹癌11例)的基因表达谱的进展性和侵袭性。在统计学差异的基础上，我们预选了51个和100个基因作为有无淋巴结转移和神经侵袭的指标。为了搜索优化的基因集进行预测，我们应用了顺序正向特征选择，最小化了k近邻分类器上的留一错误率。预测淋巴结转移和神经侵袭的准确率分别为94%和100%。排除无神经侵袭的6期IA癌后，阳性神经侵袭与阴性神经侵袭之间的基因表达差异显著(147个基因)，准确率为100%，提示侵袭特征的获得是胆道癌较晚发生的分子病理事件。本方法为胆道癌的分类提供了一种强有力的手段。我们还认为，神经周围侵犯是基于阵列数据库的模式分类的一个重要目标，它可以预测患者的预后，并有助于确定手术的范围，从而将复发风险降至最低。(C)2004 Elsevier Inc.保留所有权利。
Objective. To better understand the nature of the malignancy of biliary tract carcinoma and evaluate the feasibility of its prediction by gene expression profiles.Methods and results. We explored the gene expression profiles characteristic of progression and invasiveness in the cDNA array data obtained from 37 biliary tract carcinomas (15 bile duct, 11 gallbladder, 11 of ampulla of Vater). We pre-selected 51 and 100 genes for the presence versus absence of lymph node metastasis and perineural invasion on the basis of statistical difference. To search optimized sets of genes for prediction, we applied a sequential forward feature selection, minimizing leave-one-out error rates on a k-nearest neighbor classifier. We could predict lymph node metastasis and perineural invasion with an accuracy of 94 and 100%, respectively. When the 6-stage IA cancers without perineural invasion were precluded, a marked difference in gene expression (147 gene), discriminable with 100% accuracy, was noted between positive versus negative perineural invasion, suggesting that the acquisition of invasive character is rather a later molecular pathological event in biliary tract cancer.Conclusion. The present method provides a powerful means of classifying biliary tract carcinomas. We also suggest that perineural invasion is an important target of array databased pattern classification, which may predict patient outcomes and facilitate the determination of the extent of surgery to minimize the risk of recurrence. (C) 2004 Elsevier Inc. All rights reserved.