Diagnostic performance of PCA3 and hK2 in combination with serum PSA for prostate cancer
| Autor: | Kebing Yang, Yingfang Hu, Dahong Zhang, Zujie Mao, Liping Xie, Qi Zhang, Alin Ji, Wei He |
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| Rok vydání: | 2018 |
| Předmět: |
Male
0301 basic medicine Oncology PCA3 medicine.medical_specialty Prostate biopsy Biopsy RT-PCR Real-Time Polymerase Chain Reaction urologic and male genital diseases Sensitivity and Specificity human kallikrein 2 the prostate cancer gene 3 03 medical and health sciences Prostate cancer 0302 clinical medicine Antigens Neoplasm Predictive Value of Tests Hexokinase Internal medicine Biomarkers Tumor medicine Humans Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Prostate Area under the curve Prostatic Neoplasms Clinical Trial/Experimental Study General Medicine Kallikrein Middle Aged Prostate-Specific Antigen prostate cancer medicine.disease MicroRNAs Prostate-specific antigen 030104 developmental biology ROC Curve Area Under Curve 030220 oncology & carcinogenesis Predictive value of tests business Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| DOI: | 10.1097/md.0000000000012806 |
| Popis: | Objectives: 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. Materials and methods: 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. Results: 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. Conclusions: 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. |
| Databáze: | OpenAIRE |
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