Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection
Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection
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DOI：
10.1016/s0140-6736(03)12775-4
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发表时间：
2003-03-15
期刊：
影响因子：
168.9
通讯作者：
Hamamoto, Y
中科院分区：
文献类型：
--
作者：
Iizuka, N;Oka, M;Hamamoto, Y
背景 肝细胞癌由于肝内复发率高，预后较差。传统方法（例如 TNM 分期）在准确预测复发方面存在技术限制，这表明需要新技术。 方法 我们研究了训练组组织样本中的 mRNA 表达谱，该训练组包括 33 名肝细胞癌患者，采用代表约 6000 个基因的高密度寡核苷酸微阵列。我们以监督学习的方式使用这个训练集，通过 Fisher 线性分类器构建了一个由 12 个基因组成的预测系统。然后，我们对来自 27 名新入组患者的盲法样本组，将我们的系统与支持向量机的预测系统（基于 SVM 的系统）的预测性能进行比较。结果：在训练组和盲法组中，分别有 12 名 (36%) 和 8 名 (30%) 患者在治愈性手术后 1 年内出现早期肝内复发。我们的系统在盲法组的 27 个样本中，正确预测了 25 个样本（93%）的早期肝内复发或不复发，阳性预测值为 88%，阴性预测值为 95%。相比之下，基于 SVM 的系统在盲法组中只有 16 名 (60%) 个体正确预测了早期肝内复发或不复发，结果产生的阳性预测值仅为 38%，阴性预测值为 79%。 解释 我们的系统比基于 SVM 的系统更准确地预测肝细胞癌患者的早期肝内复发或不复发，这表明我们的系统可以作为一种新的表征肝细胞癌患者的方法。肝细胞癌的转移潜力。
Background Hepatocellular carcinoma has a poor prognosis because of the high intrahepatic recurrence rate. There are technological limitations to traditional methods such as TNM staging for accurate prediction of recurrence, suggesting that new techniques are needed.Methods We investigated mRNA expression profiles in tissue specimens from a training set, comprising 33 patients with hepatocellular carcinoma, with high-density oligonucleotide microarrays representing about 6000 genes. We used this training set in a supervised learning manner to construct a predictive system, consisting of 12 genes, with the Fisher linear classifier. We then compared the predictive performance of our system with that of a predictive system with a support vector machine (SVM-based system) on a blinded set of samples from 27 newly enrolled patients.Findings Early intrahepatic recurrence within 1 year after curative surgery occurred in 12 (36%) and eight (30%) patients in the training and blinded sets, respectively. Our system correctly predicted early intrahepatic recurrence or non-recurrence in 25 (93%) of 27 samples in the blinded set and had a positive predictive value of 88% and a negative predictive value of 95%. By contrast, the SVM-based system predicted early intrahepatic recurrence or non-recurrence correctly in only 16 (60%) individuals in the blinded set, and the result yielded a positive predictive value of only 38% and a negative predictive value of 79%.Interpretation Our system predicted early intrahepatic recurrence or non-recurrence for patients with hepatocellular carcinoma much more accurately than the SVM-based system, suggesting that our system could serve as a new method for characterising the metastatic potential of hepatocellular carcinoma.