Highly-accurate metabolomic detection of early-stage ovarian cancer.
Highly-accurate metabolomic detection of early-stage ovarian cancer.
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DOI：
10.1038/srep16351
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发表时间：
2015-11-17
影响因子：
4.6
通讯作者：
McDonald JF
中科院分区：
文献类型：
--
作者：
Gaul DA;Mezencev R;Long TQ;Jones CM;Benigno BB;Gray A;Fernández FM;McDonald JF
采用高效质谱法对早期卵巢癌（OC）患者和年龄匹配的对照妇女的血清代谢组进行了研究。由此产生的光谱特征用于建立16种诊断代谢物的线性支持向量机（SVM）模型，该模型能够在我们的患者队列中以100%的准确度识别早期OC。这些结果为OC中脂质和脂肪酸代谢的重要性提供了证据，并作为临床重要诊断试验的基础。
High performance mass spectrometry was employed to interrogate the serum metabolome of early-stage ovarian cancer (OC) patients and age-matched control women. The resulting spectral features were used to establish a linear support vector machine (SVM) model of sixteen diagnostic metabolites that are able to identify early-stage OC with 100% accuracy in our patient cohort. The results provide evidence for the importance of lipid and fatty acid metabolism in OC and serve as the foundation of a clinically significant diagnostic test.