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Medicine (Baltimore). 2018 Oct;97(42):e12806. doi: 10.1097/MD.0000000000012806.

Diagnostic performance of PCA3 and hK2 in combination with serum PSA for prostate cancer.

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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.
Department of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qingchun Road.



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.

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