Mao Zujie, Ji Alin, Yang Kebing, He Wei, Hu Yingfang, Zhang Qi, Zhang Dahong, Xie Liping
Department of Urology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, 158 Shangtang Road.
Department of Urology, Changxing People's Hospital, 66 Middle Taihu Road, Huzhou Zhejiang Province, People's Republic of China.
Medicine (Baltimore). 2018 Oct;97(42):e12806. doi: 10.1097/MD.0000000000012806.
The prostate cancer gene 3 (PCA3), human kallikrein 2, and miRNA-141 are promising prostate cancer (Pca) specific biomarkers. Our aim was to evaluate the detection of PCA3, human glandular kallikrein 2 (hk2), and miRNA-141 mRNA in peripheral blood of patients received prostate biopsy. What's more, we want to detect the value of combination of PSA (prostate specific antigen) in the early diagnosis of PCa.
Hundred patients were divided into 2 groups according to the results of pathologic diagnosis. Quantitative real-time PCR (qRT-PCR) was used to evaluate the mRNA of PCA3, hk2, and miRNA-141 in peripheral blood. At the same time, analyze those clinical outcomes used in the patients. We compared these different outcomes to evaluate the value of new molecular markers.
The level of mRNA of PCA3, hK2, and miR-141 in Pca group were significantly higher than that in BPH. PSA had the highest sensitivity in predicting Pca diagnosis (76.7%); PCA3 had the highest specificity (82.5%). And the combination of PCA3, PSA, and hK2 improved area under the curve (AUC)-receiver operating characteristic (ROC) curve largely, especially those with PSA 4-10ng/mL.
PCA3, hK2, and miRNA-141 were biomarkers of Pca with potential clinical application value, especially in patients with PSA gray area. Combining PCA3, PSA, and hK2 performed better than individual biomarkers alone in predicting Pca.
前列腺癌基因3(PCA3)、人激肽释放酶2和miRNA-141是很有前景的前列腺癌特异性生物标志物。我们的目的是评估在接受前列腺活检的患者外周血中检测PCA3、人腺激肽释放酶2(hk2)和miRNA-141 mRNA的情况。此外,我们想检测前列腺特异性抗原(PSA)联合检测在前列腺癌早期诊断中的价值。
根据病理诊断结果将100例患者分为2组。采用定量实时聚合酶链反应(qRT-PCR)评估外周血中PCA3、hk2和miRNA-141的mRNA。同时,分析患者的这些临床结果。我们比较这些不同的结果以评估新分子标志物的价值。
前列腺癌组中PCA3、hK2和miR-141的mRNA水平显著高于良性前列腺增生组。PSA在预测前列腺癌诊断方面具有最高的敏感性(76.7%);PCA3具有最高的特异性(82.5%)。PCA3、PSA和hK2的联合检测在很大程度上改善了曲线下面积(AUC)-受试者操作特征(ROC)曲线,尤其是在PSA为4-10ng/mL的患者中。
PCA3、hK2和miRNA-141是具有潜在临床应用价值的前列腺癌生物标志物,尤其是在PSA处于灰色区域的患者中。在预测前列腺癌方面,联合检测PCA3、PSA和hK2比单独使用单个生物标志物表现更好。