Mass Spectrometry Research Center and Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
Proteomics Clin Appl. 2008 Oct;2(10-11):1435-43. doi: 10.1002/prca.200800013. Epub 2008 Aug 26.
Imaging MS (IMS) has emerged as a powerful tool for biomarker discovery. A key advantage of this technique is its ability to probe the proteome directly from a tissue section with preservation of the spatial relationships of the sample and minimal sample preparation. This allows for direct correlation of protein expression with histology. Here, we present the latest developments in imaging MS and their relevance to clinical mass spectral analysis. IMS allows for high throughput analysis of tissue samples and is fully compatible with biostatistical analysis without prior knowledge of protein expression. Several studies are presented of applications in which direct tissue mass spectral analysis has provided insight into clinical questions not readily available by other means. Examples include the determination of lymph node status from investigation of primary breast tumors, prediction of response of breast tumors to chemotherapy, classification and prediction of progression of lung lesions, and exploration of 'molecular' margins in invasive disease.
成像 MS（IMS）已成为发现生物标志物的强大工具。该技术的一个主要优势是能够直接从组织切片中探测蛋白质组，同时保留样本的空间关系并进行最小的样品制备。这使得蛋白质表达与组织学直接相关。在这里，我们介绍了成像 MS 的最新进展及其与临床质谱分析的相关性。IMS 允许对组织样本进行高通量分析，并且完全兼容于生物统计学分析，而无需事先了解蛋白质表达。我们介绍了几项应用研究，其中直接对组织进行质谱分析提供了其他方法无法轻易获得的临床问题的见解。例如，通过对原发性乳腺癌的研究来确定淋巴结状态，预测乳腺癌对化疗的反应，对肺病变的分类和进展预测，以及对浸润性疾病的“分子”边界进行探索。
