Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Clin Chim Acta. 2011 Jan 30;412(3-4):230-9. doi: 10.1016/j.cca.2010.09.021. Epub 2010 Sep 29.
The prognosis of hepatocellular carcinoma (HCC) relies mainly on histopathological imaging examinations after surgical removal of the tumor. However, the rate of tumor recurrence is still high. Defining molecular signatures comprised of a number of distinct peptide ions specific for various tumor regions may improve the classification and prognosis of HCC patients.
MALDI imaging technology, cluster analysis and classification software were applied to investigate patients with hepatitis B virus (HBV)-related HCC to obtain differences in protein abundance and distribution from non-tumor to tumor regions.
A number of mass spectra obtained from non-tumor and HCC tumor sections were readily distinguishable. Progressive change was found in a distance-dependent manner from non-tumor to tumor regions within the junction section of HCC. Fourteen of the peaks were determined from non-tumor and tumor sections as classifiers to classify various non-tumor and tumor regions of the junction section of HCC. The performance of the classification test for the tumor region with a coefficient of variation (CV) of 0.16 was better than the non-tumor region, which reached a CV of 0.53.
Our findings provide peptide information pertaining to the classification of various tumor regions to supplement current histopathological analysis in tumor margins.
肝细胞癌(HCC)的预后主要依赖于肿瘤切除术后的组织病理学影像学检查。然而,肿瘤的复发率仍然很高。确定由多个不同肿瘤区域特有的肽离子组成的分子特征,可能会改善 HCC 患者的分类和预后。
应用 MALDI 成像技术、聚类分析和分类软件,对乙型肝炎病毒(HBV)相关 HCC 患者进行研究,以获得从非肿瘤到肿瘤区域的蛋白丰度和分布差异。
从非肿瘤和 HCC 肿瘤切片中获得了许多易于区分的质谱。在 HCC 交界区的肿瘤切片中,从非肿瘤到肿瘤区域以距离依赖性的方式发生渐进性变化。从非肿瘤和肿瘤切片中确定了 14 个峰作为分类器,以对 HCC 交界区的各种非肿瘤和肿瘤区域进行分类。肿瘤区域的分类测试性能(变异系数(CV)为 0.16)优于非肿瘤区域(CV 为 0.53)。
我们的研究结果提供了与当前肿瘤边缘组织病理学分析互补的分类各种肿瘤区域的肽信息。