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组织学导向的基质辅助激光解吸/电离分析揭示原发性肝癌的组织来源和 p53 状态。

Histology-directed matrix-assisted laser desorption/ionization analysis reveals tissue origin and p53 status of primary liver cancers.

机构信息

Korea Research Institute of Standard and Science, Daejeon, Korea.

出版信息

Pathol Int. 2011 Aug;61(8):449-55. doi: 10.1111/j.1440-1827.2011.02686.x. Epub 2011 Jun 22.

DOI:10.1111/j.1440-1827.2011.02686.x
PMID:21790858
Abstract

To date, protein profiles for hepatocellular carcinomas and cholangiocarcinomas have not been systematically evaluated and compared with each other in an unbiased way. Thirty-six hepatocellular carcinomas and adjacent normal tissue samples were analyzed using histology-directed, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS). Four cholangiocarcinomas and adjacent normal tissue samples were also evaluated. Tissue samples were sectioned at 10 µm, with 1-3 sections thaw-mounted on a conductive indium tin oxide-coated glass slide. Sinapinic acid was manually deposited on areas of each tissue section enriched by epithelial cells, either tumor or normal, and mass spectra were acquired using a MALDI-time of flight instrument. According to class prediction analysis, average prediction accuracy in test sets (composed of 18 hepatocellular carcinoma-normal pairs) ranged from 93.0 to 95.8%. Cholangiocarcinomas and hepatocellular carcinomas had different protein profiles, as evidenced by average prediction accuracy of >95% in the test set for all classifiers. Permutation P-values for 0.632 + bootstrap cross validated misclassification rates (at feature selection P < 0.001) were less than 0.05 for predicting p53 immunostaining status. We conclude that MALDI MS profiles may be useful in assisting with the diagnosis and the differential diagnosis of primary liver cancers.

摘要

迄今为止,尚未以无偏倚的方式系统地评估和比较肝细胞癌和胆管细胞癌的蛋白质谱。使用组织学指导的基质辅助激光解吸/电离(MALDI)质谱(MS)分析了 36 例肝细胞癌和相邻正常组织样本。还评估了 4 例胆管细胞癌和相邻正常组织样本。将组织样本切成 10 µm 厚的切片,用 1-3 个切片解冻并安装在导电铟锡氧化物涂覆的玻璃幻灯片上。手动将柠檬酸添加到富含上皮细胞(肿瘤或正常)的每个组织切片区域上,并使用 MALDI-飞行时间仪器获取质谱。根据分类预测分析,在测试集中(由 18 对肝细胞癌-正常对组成)的平均预测准确性范围为 93.0%至 95.8%。胆管细胞癌和肝细胞癌的蛋白质谱不同,所有分类器在测试集中的平均预测准确性均>95%即可证明这一点。对于预测 p53 免疫染色状态,0.632 + 引导交叉验证错误分类率的置换 P 值(在特征选择 P < 0.001 时)小于 0.05。我们得出的结论是,MALDI MS 谱可能有助于原发性肝癌的诊断和鉴别诊断。

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