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基于质谱分析的肝细胞癌骨转移血清肽谱分析

Mass spectrometry-based serum peptide profiling in hepatocellular carcinoma with bone metastasis.

作者信息

He Jian, Zeng Zhao-Chong, Xiang Zuo-Lin, Yang Ping

机构信息

Jian He, Zhao-Chong Zeng, Zuo-Lin Xiang, Ping Yang, Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

出版信息

World J Gastroenterol. 2014 Mar 21;20(11):3025-32. doi: 10.3748/wjg.v20.i11.3025.

Abstract

AIM

To investigate the potential of serum peptides as a diagnostic tool for hepatocellular carcinoma (HCC) with bone metastasis.

METHODS

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) was used to characterize the serum peptide profile of HCC patients with bone metastasis. Serum samples from 138 HCC patients (66 cases with and 72 cases without bone metastasis) were randomly assigned into a training set (n = 76) and a test set (n = 62). Differential serum peptides were examined using ClinProt magnetic bead-based purification followed by MALDI-TOF-MS. The sequences of differentially expressed serum peptides were identified using liquid chromatography-mass spectrometry. A diagnostic model was established using a learning algorithm of radial basis function neural network verified by a single blind trial. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic power of the established model.

RESULTS

Ten peptide peaks were significantly different between HCC patients with or without bone metastasis (P < 0.001). Sequences of seven peptides with mass to charge ratios (m/z) of 1780.7, 1866.5, 2131.6, 2880.4, 1532.4, 2489.8, and 2234.3 were successfully identified. These seven peptides were derived from alpha-fetoprotein, prothrombin, serglycin, isoform 2 of inter-alpha-trypsin inhibitor heavy chain H4, isoform 1 of autophagy-related protein 16-2, and transthyretin and fibrinogen beta chains, respectively. The recognition rate and predictive power of a diagnostic model established on the basis of six significant peptides (m/z for these six peptides were 1535.4, 1780.7, 1866.5, 2131.6, 2880.4, and 2901.9) were 89.47% and 82.89%, respectively. The sensitivity and specificity of this model based upon a single blind trial were 85.29% and 85.71%, respectively. ROC analysis found that the AUC (area under the ROC curve) value was 0.911.

CONCLUSION

Our study suggested that serum peptides may serve as a diagnosis tool for HCC bone metastasis.

摘要

目的

探讨血清肽作为肝细胞癌(HCC)骨转移诊断工具的潜力。

方法

采用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)对HCC骨转移患者的血清肽谱进行表征。将138例HCC患者(66例有骨转移,72例无骨转移)的血清样本随机分为训练集(n = 76)和测试集(n = 62)。使用基于ClinProt磁珠的纯化方法,随后进行MALDI-TOF-MS检测差异血清肽。使用液相色谱-质谱法鉴定差异表达血清肽的序列。采用径向基函数神经网络学习算法建立诊断模型,并通过单盲试验进行验证。进行受试者操作特征(ROC)分析以评估所建立模型的诊断能力。

结果

有或无骨转移的HCC患者之间有10个肽峰存在显著差异(P < 0.001)。成功鉴定出7种肽的序列,其质荷比(m/z)分别为1780.7、1866.5、2131.6、2880.4、1532.4、并分别源自甲胎蛋白、凝血酶原、丝甘蛋白、α-胰蛋白酶抑制剂重链H4同工型2、自噬相关蛋白16-2同工型1以及转甲状腺素蛋白和纤维蛋白原β链。基于6种显著肽(这6种肽的m/z分别为1535.4、1780.7、1866.5、2131.6、2880.4和2901.9)建立的诊断模型的识别率和预测能力分别为89.47%和82.89%。基于单盲试验,该模型的敏感性和特异性分别为85.29%和85.71%。ROC分析发现曲线下面积(AUC)值为0.911。

结论

我们的研究表明血清肽可能作为HCC骨转移的诊断工具。

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