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학술저널
저자정보
강호원 (충북대학교병원) 이희윤 (충북대학교병원) 변영준 (충북대학교) 정필두 (충북대학교) 윤진선 ((주)비엠에스) 김동호 ((주)비엠에스) 김원태 (충북대학교) 김용준 (충북대학교) 이상철 (충북대학교) 윤석중 (충북대학교) 김원재 (충북대학교)
저널정보
대한비뇨기과학회 Investigative and Clinical Urology Investigative and Clinical Urology Vol.61 No.4
발행연도
2020.1
수록면
411 - 418 (8page)

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Purpose: The aim of this study was to identify a noninvasive urinary marker for prostate cancer (PCa) diagnosis and to validate the clinical performance of this novel urinary mRNA signature using the droplet digital polymerase chain reaction (ddPCR) approach. Materials and Methods: A gene expression microarray (HT-12, Illumina Inc., USA) was used to identify genes differentially expressed between 16 PCa and 8 benign prostatic hyperplasia (BPH) tissues; ddPCR (QX200; Bio-Rad Laboratories, USA) was carried out to quantify the expression of selected genes in urine. The urinary molecular PCa risk score (UMPCaRS) was calculated by using the sum of three upregulated genes as the numerator and the sum of three downregulated genes as the denominator. The diagnostic utility of the UMPCaRS was validated by using a screening set (10 PCa and 10 BPH samples) and a validation set (131 PCa and 105 BPH samples). Results: Three upregulated genes (PDLIM5, GDF-15, THBS4) and three downregulated genes (UPK1A, SSTR3, NPFFR2) were selected from the microarray and subjected to ddPCR. The UMPCaRS for PCa in the screening and validation sets was significantly higher than that for BPH. For the validation set, the diagnostic accuracy of the UMPCaRS was comparable with that of prostate-specific antigen (PSA). Importantly, in the “PSA gray zone” (3–10 ng/mL), the AUC for the UMPCaRS was 0.843 and that for PSA was 0.628 (p<0.001). Conclusions: The data demonstrate that the UMPCaRS is useful for discriminating between PCa and BPH in the “PSA gray zone”.

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