Serkova Natalie J, Gamito Eduard J, Jones Richard H, O'Donnell Colin, Brown Jaimi L, Green Spencer, Sullivan Holly, Hedlund Tammy, Crawford E David
Department of Anesthesiology and Radiology, Biomedical MRI/MRS, University of Colorado Health Sciences Center, Denver, Colorado 80262, USA.
Prostate. 2008 May 1;68(6):620-8. doi: 10.1002/pros.20727.
Due to specific physiological functions, prostatic tissues and fluids have unique metabolic profiles. In this study, proton nuclear magnetic resonance spectroscopy ((1)H-NMRS) is used to assess potential metabolic markers of prostate cancer (PCa) in human expressed prostatic secretions (EPS).
Metabolic profiles of EPS from 52 men with PCa and from 26 healthy controls were analyzed using quantitative (1)H-NMRS. The metabolites quantified included citrate, spermine, myo-inositol, lactate, alanine, phosphocholine, glutamine, acetate, and hydroxybutyrate. Logistic regression (LR) was used to model the risk of PCa based on metabolite concentrations while adjusting for age.
The average age of the EPS donors with PCa was 58.0+/-7.0 years and 52.2+/-12.1 for the healthy donors. The median Gleason score for the men with PCa was 7 (range 5-9). The LR models indicated that the absolute concentrations of citrate, myo-inositol, and spermine were highly predictive of PCa and inversely related to the risk of PCa. The areas under the receiver operating characteristic curves (AUROC) for citrate, myo-inositol and spermine were 0.89, 0.87, and 0.79, respectively. At 90% sensitivity, these metabolites had specificities of 74%, 51%, and 34%, respectively. The LR analysis indicated that absolute levels of these three metabolites were independent of age.
The results indicate that citrate, myo-inositol and spermine are potentially important markers of PCa in human EPS. Further, the absolute concentrations of these metabolites in EPS appear to be independent of age, increasing the potential utility of these markers due to elimination of age as a confounding variable.
由于前列腺组织和液体具有特定的生理功能，其具有独特的代谢谱。在本研究中，质子核磁共振波谱法（(1)H-NMRS）用于评估人前列腺分泌液（EPS）中前列腺癌（PCa）的潜在代谢标志物。
使用定量(1)H-NMRS分析52例PCa男性和26例健康对照者的EPS代谢谱。定量的代谢物包括柠檬酸盐、精胺、肌醇、乳酸盐、丙氨酸、磷酸胆碱、谷氨酰胺、乙酸盐和羟基丁酸盐。在调整年龄的同时，使用逻辑回归（LR）基于代谢物浓度对PCa风险进行建模。
PCa患者EPS供体的平均年龄为58.0±7.0岁，健康供体为52.2±12.1岁。PCa男性的Gleason评分中位数为7（范围5 - 9）。LR模型表明，柠檬酸盐、肌醇和精胺的绝对浓度对PCa具有高度预测性，且与PCa风险呈负相关。柠檬酸盐、肌醇和精胺的受试者工作特征曲线下面积（AUROC）分别为0.89、0.87和0.79。在90%的灵敏度下，这些代谢物的特异性分别为74%、51%和34%。LR分析表明，这三种代谢物的绝对水平与年龄无关。
结果表明，柠檬酸盐、肌醇和精胺是人EPS中PCa的潜在重要标志物。此外，EPS中这些代谢物的绝对浓度似乎与年龄无关，由于消除了年龄作为混杂变量，增加了这些标志物的潜在效用。
