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Prostate cancer antigen 3 moderately improves diagnostic accuracy in Chinese patients undergoing first prostate biopsy

机译:前列腺癌抗原3适度提高了中国患者首次前列腺活检的诊断准确性

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摘要

Prostate cancer antigen 3 (PCA3) is a biomarker for diagnosing prostate cancer (PCa) identified in the Caucasian population. We evaluated the effectiveness of urinary PCA3 in predicting the biopsy result in 500 men undergoing initial prostate biopsy. The predictive power of the PCA3 score was evaluated by the area under receiver operating characteristic (ROC) curve (AUC) and by decision curve analysis. PCA3 score sufficed to discriminate positive from negative prostate biopsy results but was not correlated with the aggressiveness of PCa. The ROC analysis showed a higher AUC for the PCA3 score than %fPSA (0.750 vs 0.622, P = 0.046) in patients with a PSA of 4.0–10.0 ng ml−1, but the PCA3-based model is not significantly better than the base model. Decision curve analysis indicates the PCA3-based model was superior to the base model with a higher net benefit for almost all threshold probabilities, especially the threshold probabilities of 25%–40% in patients with a PSA of 4.0–10.0 ng ml−1. However, the AUC of the PCA3 score (0.712) is not superior to %fPSA (0.698) or PSAD (0.773) in patients with a PSA >10.0 ng ml−1. Our results confirmed that the RT-PCR-based PCA3 test moderately improved diagnostic accuracy in Chinese patients undergoing first prostate biopsy with a PSA of 4.0–10.0 ng ml−1.
机译:前列腺癌抗原3(PCA3)是用于诊断在白种人中发现的前列腺癌(PCa)的生物标志物。我们评估了尿中PCA3在预测500例接受初次前列腺活检的男性中的活检结果的有效性。 PCA3评分的预测能力通过接收器工作特性(ROC)曲线(AUC)下的面积和决策曲线分析进行评估。 PCA3评分足以区分阳性和阴性前列腺活检结果,但与PCa的侵袭性无关。 ROC分析显示,在PSA为4.0–10.0 ng ml -1 的患者中,PCA3评分的AUC高于%fPSA(0.750 vs 0.622,P = 0.046),但基于PCA3的模型并不比基础模型好得多。决策曲线分析表明,基于PCA3的模型优于基本模型,几乎所有阈值概率均具有较高的净收益,尤其是PSA为4.0–10.0 ng ml的患者的阈值概率为25%–40% -1 。但是,PSA> 10.0 ng ml -1 的患者的PCA3评分(0.712)的AUC不优于%fPSA(0.698)或PSAD(0.773)。我们的结果证实,基于RT-PCR的PCA3检测可适度提高PSA为4.0–10.0 ng ml -1 的中国首次前列腺活检患者的诊断准确性。

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