Diagnosis of early stage ovarian cancer by 1H NMR metabonomics of serum explored by use of a microflow NMR probe.
Diagnosis of early stage ovarian cancer by 1H NMR metabonomics of serum explored by use of a microflow NMR probe.
复制标题
利用微流 NMR 探针探索血清 1H NMR 代谢组学，诊断早期卵巢癌。
DOI：
10.1021/pr101050d
复制
发表时间：
2011-04-01
影响因子：
4.4
通讯作者：
Odunsi, Kunle
中科院分区：
文献类型：
--
作者：
Garcia, Erwin;Andrews, Chris;Hua, Jia;Kim, Hyung L.;Sukumaran, Dinesh K.;Szyperski, Thomas;Odunsi, Kunle
关键词：
We show that 1H NMR based metabonomics of serum allows the diagnosis of early stage I/II epithelial ovarian cancer (EOC) required for successful treatment. Because patient specimens are highly precious, we conducted an exploratory study using a micro-flow probe requiring only 20 μL serum. By use of logistic regression on principal components (PCs) of the NMR profiles, we built a 4-variable model for early stage EOC prediction (training set: 69 EOC specimens, 84 healthy controls; test set: 40 EOC, 44 controls) with operating characteristics estimated for the test set at 80% specificity [95% confidence interval (CI): 65% to 90%], 63% sensitivity (95% CI: 46% to 77%), and an area under the Receiver Operator Characteristic Curve (AUC) of 0.796. Independent validation (50 EOC, 50 controls) of the model yielded 95% specificity (95% CI: 86% to 99.5%), 68% sensitivity (95% CI: 53% to 80%) and an AUC of 0.949. A test on cancer type specificity showed that women diseased with renal cell carcinoma were not incorrectly diagnosed with EOC, indicating that metabonomics bears significant potential for cancer type-specific diagnosis. Our model can potentially be applied for women at high risk for EOC, and our study promises to contribute to developing a screening protocol for the general population.
登录
查看更多内容
DOI：
10.1093/jnci/djp438
发表时间：
2010-01-06
期刊：
Journal of the National Cancer Institute
影响因子：
--
作者：
Anderson GL;McIntosh M;Wu L;Barnett M;Goodman G;Thorpe JD;Bergan L;Thornquist MD;Scholler N;Kim N;O'Briant K;Drescher C;Urban N
通讯作者：
Urban N
影响因子：
2
作者：
Ludwig, C.;Ward, D. G.;Guenther, U. L.
通讯作者：
Guenther, U. L.
影响因子：
51.1
作者：
Menon, Usha;Gentry-Maharaj, Aleksandra;Jacobs, Ian
通讯作者：
Jacobs, Ian
影响因子：
1.8
作者：
Nicholson, JK;Lindon, JC;Holmes, E
通讯作者：
Holmes, E
影响因子：
45.3
作者：
Bookman, Michael A.;Brady, Mark F.;Roth, Lawrence M.
通讯作者：
Roth, Lawrence M.