Dekker Tim J A, Balluff Benjamin D, Jones Emrys A, Schöne Cédrik D, Schmitt Manfred, Aubele Michaela, Kroep Judith R, Smit Vincent T H B M, Tollenaar Rob A E M, Mesker Wilma E, Walch Axel, McDonnell Liam A
Department of Clinical Oncology, Leiden University Medical Center , Leiden, The Netherlands.
J Proteome Res. 2014 Nov 7;13(11):4730-8. doi: 10.1021/pr500253j. Epub 2014 May 2.
MALDI mass spectrometry imaging (MSI) has rapidly established itself as a powerful biomarker discovery tool. To date, no formal investigation has assessed the center-to-center comparability of MALDI MSI experiments, an essential step for it to develop into a new diagnostic method. To test such capabilities, we have performed a multicenter study focused on biomarkers of stromal activation in breast cancer. MALDI MSI experiments were performed in two centers using independent tissue banks, infrastructure, methods, and practitioners. One of the data sets was used for discovery and the other for validation. Areas of intra- and extratumoral stroma were selected, and their protein signals were compared. Four protein signals were found to be significantly associated with tumor-associated stroma in the discovery data set measured in Munich. Three of these peaks were also detected in the independent validation data set measured in Leiden, all of which were also significantly associated with intratumoral stroma. Hierarchical clustering displayed 100% accuracy in the Munich MSI data set and 80.9% accuracy in the Leiden MSI data set. The association of one of the identified mass signals (PA28) with stromal activation was confirmed with immunohistochemistry performed on 20 breast tumors. Independent and international MALDI MSI investigations could identify validated biomarkers of stromal activation.
基质辅助激光解吸电离质谱成像(MALDI MSI)已迅速成为一种强大的生物标志物发现工具。迄今为止,尚未有正式研究评估MALDI MSI实验在不同中心之间的可比性,而这是其发展成为一种新诊断方法的关键步骤。为测试这种能力,我们开展了一项多中心研究,聚焦于乳腺癌基质激活的生物标志物。MALDI MSI实验在两个中心进行,使用独立的组织库、基础设施、方法和操作人员。其中一个数据集用于探索,另一个用于验证。选取肿瘤内和肿瘤外基质区域,并比较它们的蛋白质信号。在慕尼黑测量的发现数据集中,发现有四种蛋白质信号与肿瘤相关基质显著相关。在莱顿测量的独立验证数据集中也检测到了其中三个峰,所有这些峰也都与肿瘤内基质显著相关。层次聚类在慕尼黑MSI数据集中的准确率为100%,在莱顿MSI数据集中的准确率为80.9%。通过对20例乳腺肿瘤进行免疫组织化学,证实了其中一个已识别的质量信号(PA28)与基质激活的关联。独立的国际MALDI MSI研究能够识别出经过验证的基质激活生物标志物。