Graduate School of Environmental Engineering, the University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu 808-0135, Japan.
Shinkou Seiki Co. Ltd., 1-18-3, Maidashi, Higashi-ku, Fukuoka 812-8581, Japan.
Diagnostics (Basel). 2013 Jan 16;3(1):68-83. doi: 10.3390/diagnostics3010068.
An analytical TD-GC-MS method was developed and used for the assessment of volatile organic compounds (VOCs) released from the blood plasma of dogs with/without cancer. VOCs released from 40 samples of diseased blood and 10 control samples were compared in order to examine the difference between both sample groups that were showing qualitatively similar results independent from the disease's presence. However, mild disturbances in the spectra of dogs with cancer in comparison with the control group were observed, and six peaks (tentatively identified by comparison with mass spectral library as hexanal, octanal, toluene, 2-butanone, 1-octen-3-ol and pyrrole) revealed statistically significant differences between both sample groups, thereby suggesting that these compounds are potential biomarkers that can be used for cancer diagnosis based on the blood plasma TD-GC-MS analysis. Statistical comparison with the application of principal component analysis (PCA) provided accurate discrimination between the cancer and control groups, thus demonstrating stronger biochemical perturbations in blood plasma when cancer is present.
建立了一种分析 TD-GC-MS 方法，并用于评估有/无癌症的狗的血浆中释放的挥发性有机化合物 (VOCs)。比较了来自 40 个患病血液样本和 10 个对照样本的 VOCs，以检查两组样本之间的差异，这两组样本的结果在疾病存在的情况下表现出定性相似。然而，与对照组相比，患有癌症的狗的光谱中观察到轻微的干扰，并且在两组样本之间发现了六个峰（通过与质谱库比较初步鉴定为己醛、辛醛、甲苯、2-丁酮、1-辛烯-3-醇和吡咯）存在统计学上的显著差异，表明这些化合物是基于血浆 TD-GC-MS 分析可用于癌症诊断的潜在生物标志物。应用主成分分析 (PCA) 的统计比较提供了癌症组和对照组之间的准确区分，从而表明当存在癌症时，血浆中的生化干扰更强。
