Barkauskas Donald A, An Hyun Joo, Kronewitter Scott R, de Leoz Maria Lorna, Chew Helen K, de Vere White Ralph W, Leiserowitz Gary S, Miyamoto Suzanne, Lebrilla Carlito B, Rocke David M
Graduate Group in Biostatistics with a Designated Emphasis in Biotechnology, School of Medicine, University of California, Davis, CA 95616, USA.
Bioinformatics. 2009 Jan 15;25(2):251-7. doi: 10.1093/bioinformatics/btn610. Epub 2008 Dec 9.
The development of better tests to detect cancer in its earliest stages is one of the most sought-after goals in medicine. Especially important are minimally invasive tests that require only blood or urine samples. By profiling oligosaccharides cleaved from glycosylated proteins shed by tumor cells into the blood stream, we hope to determine glycan profiles that will help identify cancer patients using a simple blood test. The data in this article were generated using matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FT-ICR MS). We have developed novel methods for analyzing this type of mass spectrometry data and applied it to eight datasets from three different types of cancer (breast, ovarian and prostate).
The techniques we have developed appear to be effective in the analysis of MALDI FT-ICR MS data. We found significant differences between control and cancer groups in all eight datasets, including two structurally related compounds that were found to be significantly different between control and cancer groups in all three types of cancer studied.
开发能够在癌症最早期阶段进行检测的更好测试方法，是医学领域最受追捧的目标之一。尤为重要的是仅需血液或尿液样本的微创检测。通过对从肿瘤细胞释放到血流中的糖基化蛋白上裂解下来的寡糖进行分析，我们希望确定聚糖谱，以便利用简单的血液检测来识别癌症患者。本文中的数据是使用基质辅助激光解吸/电离傅里叶变换离子回旋共振质谱（MALDI FT-ICR MS）生成的。我们已经开发出用于分析此类质谱数据的新方法，并将其应用于来自三种不同类型癌症（乳腺癌、卵巢癌和前列腺癌）的八个数据集。
我们开发的技术在分析MALDI FT-ICR MS数据方面似乎很有效。我们在所有八个数据集中发现了对照组和癌症组之间的显著差异，包括在所有三种研究的癌症类型中，对照组和癌症组之间发现有显著差异的两种结构相关化合物。
