首页|前列腺小体外泄蛋白联合PSA在PSA"灰区"且PI-RADS评分3分前列腺癌诊断中的临床意义

前列腺小体外泄蛋白联合PSA在PSA"灰区"且PI-RADS评分3分前列腺癌诊断中的临床意义

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目的:探讨前列腺小体外泄蛋白(PSEP)联合前列腺特异性抗原(PSA)在PSA"灰区"且前列腺影像报告和数据系统(PI-RADS)评分3 分前列腺癌诊断中的价值.方法:收集 2019~2022 年行前列腺多参数核磁共振检查,并且接受前列腺穿刺活检或经尿道前列腺电切/剜除术的 211 例PSA"灰区"(4~10 μg/L)且PI-RADS评分3 分患者的临床资料.术前收集尿样,采用酶ELISA检测尿PSEP浓度.分析在PSA"灰区"且PI-RADS评分3 分患者中PSEP、PSA用于诊断前列腺癌的性能及差异.结果:病理确诊前列腺癌57 例(阳性组);良性前列腺组织154 例(阴性组).阳性组游离前列腺特异性抗原(fPSA)、游离前列腺特异性抗原(fPSA)与总前列腺特异性抗原(tPSA)比值(f/t PSA)、尿PSEP水平均低于阴性组(P均<0.01).在PSA"灰区"且PI-RADS评分3 分的患者中,f/t PSA,PSEP均可作为独立因子用于预测前列腺癌(P均<0.01).其中,以f/t PSA、PSEP单参数诊断前列腺癌的受试者操作特征(ROC)曲线下面积、最佳截断值、敏感度、特异度分别为 0.70、0.18、84.21%、58.44%;0.78、1.45 μg/L、70.18%、77.27%.利用PSEP联合f/t PSA多参数模型预测前列腺癌的ROC曲线下面积为0.82,最佳截断值为0.31,敏感度为 82.46%,特异度为 75.32%,其预测性能显著优于单参数f/t PSA、PSEP(P<0.01,P=0.04).结论:对于PSA"灰区"且PI-RADS评分3 分的患者,f/t PSA,PSEP均可作为独立预测前列腺癌的有效因子;PSEP联合f/t PSA多参数模型可替代传统筛查所用的单参数f/t PSA,提高诊断性能,减少非必要穿刺活检.
Clinical significance of prostatic exosomal protein and PSA in detecting prostate cancer with the PSA gray zone and PI-RADS-3 lesions
Objective:To explore the clinical value of prostatic exosomal protein(PSEP)and PSA in the diagnosis of PCa with PSA in the gray zone(4-10 μg/L)and Prostate Imaging Reporting and Data System category3(PI-RADS-3)lesions.Meth-ods:From 2019 to 2022,211 patients with the PSA gray zone and PI-RADS-3 lesions underwent prostate multi-parameter MRI,pros-tate needle biopsy or transurethral resection/enucleation of the prostate.We collected the baseline urine samples from the patients,ex-amined the content of PSEP in the urine by ELISA and evaluated the performance of PSEP and PSA in the diagnosis of PCa.Re-sults:Among the total number of patients,57 were confirmed with PCa(the positive group)and the other 154 with benign prostate conditions(the negative group)by biopsy pathology.The free PSA level(fPSA),free to total PSA ratio(f/tPSA)and PSEP content were dramatically lower in the positive than in the negative group(all P<0.01).Uni-and multivariate analyses showed f/tPSA and PSEP to be independent factors for predicting PCa with the PSA gray zone and PI-RADS-3 lesions,with the AUC values of 0.70 and 0.78,best cutoff values of 0.18 and 1.45 μg/L,sensitivity of 84.21%and 70.18%,and specificity of 58.44%and 77.27%,re-spectively(P<0.01).The multivariate model with combined use of f/tPSA and PSEP(AUC:0.82,best cutoff value:0.31,sensi-tivity:82.46%,specificity:75.32%)outperformed either f/tPSA or PSEP alone in the diagnosis of PCa with the PSA gray zone and PI-RADS-3 lesions(P<0.01,P=0.04).Conclusion:For patients with the PSA gray zone and PI-RADS-3 lesions,f/tPSA and PSEP are significant predictors of PCa.The multivariate model of PSEP combined with f/tPSA can replace f/tPSA in the detection of PCa to improve diagnostic performance and avoid unnecessary prostate biopsy.

prostate cancerprostatic exosomal proteinf/tPSAProstate Imaging Reporting and Data System category 3

刘伊扬、毛兴君、夏佳东

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南京医科大学第一附属医院泌尿外科,江苏 南京 210029

宝应县人民医院泌尿外科,江苏 扬州 225800

前列腺癌 前列腺小体外泄蛋白 f/t PSA 前列腺影像报告和数据系统评分3分

国家自然科学基金面上项目

81971377

2024

中华男科学杂志
南京军区南京总医院

中华男科学杂志

CSTPCD
影响因子:1.052
ISSN:1009-3591
年,卷(期):2024.30(7)
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