Profiling of plasma metabolites in canine oral melanoma using gas chromatography-mass spectrometry.
Profiling of plasma metabolites in canine oral melanoma using gas chromatography-mass spectrometry.
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DOI：
10.1292/jvms.14-0641
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发表时间：
2015-08
期刊：
影响因子：
--
通讯作者：
Takenaka S
中科院分区：
文献类型：
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作者：
Kawabe M;Baba Y;Tamai R;Yamamoto R;Komori M;Mori T;Takenaka S
恶性黑色素瘤是狗口腔中最常见和最具侵袭性的肿瘤之一。肿瘤预后较差，需要诊断和预测治疗后预后的方法。在这里，我们使用气相色谱-质谱法 (GC-MS) 检查代谢物分析，以开发用于评估预后的判别模型。使用判别分析 (OPLS-DA) 对潜在结构进行正交投影，评估健康和黑色素瘤血浆样本中的代谢谱。使用 OPLS 判别模型预测为健康的病例在放射治疗后没有晚期病变。这些结果表明代谢物分析可能有助于犬恶性黑色素瘤的诊断和预后预测。
Malignant melanoma is one of the most common and aggressive tumors in the oral cavity of dog. The tumor has a poor prognosis, and methods for diagnosis and prediction of prognosis after treatment are required. Here, we examined metabolite profiling using gas chromatography-mass spectrometry (GC-MS) for development of a discriminant model for evaluation of prognosis. Metabolite profiles were evaluated in healthy and melanoma plasma samples using orthogonal projection to latent structure using discriminant analysis (OPLS-DA). Cases that were predicted to be healthy using the OPLS discriminant model had no advanced lesions after radiation therapy. These results indicate that metabolite profiling may be useful in diagnosis and prediction of prognosis of canine malignant melanoma.