Sokoll Lori J, Wang Yinghui, Feng Ziding, Kagan Jacob, Partin Alan W, Sanda Martin G, Thompson Ian M, Chan Daniel W
Departments of Pathology and Urology, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
J Urol. 2008 Aug;180(2):539-43; discussion 543. doi: 10.1016/j.juro.2008.04.015. Epub 2008 Jun 11.
This study evaluated the [-2]proenzyme prostate specific antigen serum marker using a blinded reference specimen set from 3 National Cancer Institute Early Detection Research Network centers from men with an indication for prostate biopsy.
Serum was collected before biopsy from 123 men with no prior biopsy or prostate cancer history. Specimens (cancer cases 51%, noncancer controls 49%) were selected equally from the 3 sites, and analyzed for prostate specific antigen, free prostate specific antigen, [-2]proenzyme prostate specific antigen, benign prostate specific antigen and testosterone (Beckman Coulter ACCESS(R) analyzer).
There was no difference in total prostate specific antigen concentrations (noncancer 6.80 +/- 5.20 ng/ml, cancer 6.94 +/- 5.12 ng/ml) among the groups. Overall %[-2]proenzyme prostate specific antigen had the greatest area under the curve (AUC 0.69) followed by percent free prostate specific antigen (AUC 0.61). For %[-2]proenzyme prostate specific antigen maximal sensitivity was 60% and specificity was 70%. A logistic regression model combining prostate specific antigen, benign prostate specific antigen, percent free prostate specific antigen, %[-2]proenzyme prostate specific antigen, [-2]proenzyme prostate specific antigen/benign prostate specific antigen and testosterone had an AUC of 0.73. In the 2 to 10 ng/ml prostate specific antigen range %[-2]proenzyme prostate specific antigen and the model had the largest AUC (0.73). The AUC for percent free prostate specific antigen was 0.53. Specificities for %[-2]proenzyme prostate specific antigen, the logistic regression model and percent free prostate specific antigen at 90% sensitivity were 41%, 32% and 18%, and at 95% sensitivity were 31%, 26% and 16%, respectively.
%[-2]proenzyme prostate specific antigen was the best predictor of prostate cancer detection compared to percent free prostate specific antigen, particularly in the 2 to 10 ng/ml total prostate specific antigen range. These findings provide a rationale for broader validation studies to determine whether %[-2]proenzyme prostate specific antigen alone can replace other molecular prostate specific antigen assays (such as percent free prostate specific antigen) for improving the accuracy of prostate cancer early detection. These findings also support the usefulness of well characterized, carefully collected reference sets to evaluate new biomarkers.
本研究使用来自美国国立癌症研究所早期检测研究网络3个中心的盲法参考标本集,对[-2]前列腺特异性抗原前体血清标志物进行评估,这些标本来自有前列腺活检指征的男性。
在活检前收集了123名无既往活检或前列腺癌病史男性的血清。标本(癌症病例占51%,非癌症对照占49%)从3个地点等量选取,并对前列腺特异性抗原、游离前列腺特异性抗原、[-2]前列腺特异性抗原前体、良性前列腺特异性抗原和睾酮进行分析(使用贝克曼库尔特ACCESS(R)分析仪)。
各组间总前列腺特异性抗原浓度无差异(非癌症组6.80±5.20 ng/ml,癌症组6.94±5.12 ng/ml)。总体[-2]前列腺特异性抗原前体百分比的曲线下面积最大(AUC为0.69),其次是游离前列腺特异性抗原百分比(AUC为0.61)。对于[-2]前列腺特异性抗原前体百分比,最大灵敏度为60%,特异性为70%。结合前列腺特异性抗原、良性前列腺特异性抗原、游离前列腺特异性抗原百分比、[-2]前列腺特异性抗原前体百分比、[-2]前列腺特异性抗原前体/良性前列腺特异性抗原和睾酮的逻辑回归模型的AUC为0.73。在前列腺特异性抗原浓度为2至10 ng/ml范围内,[-2]前列腺特异性抗原前体百分比和该模型的AUC最大(0.73)。游离前列腺特异性抗原百分比的AUC为0.53。[-2]前列腺特异性抗原前体百分比、逻辑回归模型和游离前列腺特异性抗原百分比在90%灵敏度时的特异性分别为41%、32%和18%,在95%灵敏度时分别为31%、26%和16%。
与游离前列腺特异性抗原百分比相比,[-2]前列腺特异性抗原前体百分比是前列腺癌检测的最佳预测指标,尤其是在总前列腺特异性抗原浓度为2至10 ng/ml范围内。这些发现为更广泛的验证研究提供了理论依据,以确定单独的[-2]前列腺特异性抗原前体百分比是否可以替代其他分子前列腺特异性抗原检测方法(如游离前列腺特异性抗原百分比)来提高前列腺癌早期检测的准确性。这些发现还支持了使用特征明确、精心收集的参考集来评估新生物标志物的有效性。