[Clinical significance of prostatic exosomal protein and PSA in detecting prostate cancer with the PSA gray zone and PI-RADS-3 lesions].

Q4 Medicine 中华男科学杂志 Pub Date : 2024-07-01
Yi-Yang Liu, Xing-Jun Mao, Jia-Dong Xia
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Abstract

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 category 3 (PI-RADS-3) lesions.

Methods: From 2019 to 2022, 211 patients with the PSA gray zone and PI-RADS-3 lesions underwent prostate multi-parameter MRI, prostate needle biopsy or transurethral resection/enucleation of the prostate. We collected the baseline urine samples from the patients, examined the content of PSEP in the urine by ELISA and evaluated the performance of PSEP and PSA in the diagnosis of PCa.

Results: 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%, respectively (P< 0.01). The multivariate model with combined use of f/tPSA and PSEP (AUC: 0.82, best cutoff value: 0.31, sensitivity: 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.

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[前列腺外泌体蛋白和 PSA 在检测 PSA 灰色区域和 PI-RADS-3 病变的前列腺癌中的临床意义]。
目的探讨前列腺外泌体蛋白(PSEP)和PSA在诊断PSA处于灰区(4-10 μg/L)和前列腺影像报告和数据系统3类(PI-RADS-3)病变的PCa中的临床价值:2019年至2022年,211名PSA灰区和PI-RADS-3病变患者接受了前列腺多参数MRI、前列腺针刺活检或经尿道前列腺切除/去核术。我们收集了患者的基线尿液样本,通过 ELISA 检测了尿液中 PSEP 的含量,并评估了 PSEP 和 PSA 在 PCa 诊断中的表现:结果:在所有患者中,57 人经活检病理确诊为 PCa(阳性组),154 人确诊为良性前列腺疾病(阴性组)。阳性组的游离 PSA 水平(fPSA)、游离 PSA 与总 PSA 比值(f/tPSA)和 PSEP 含量均显著低于阴性组(均为 P<0.01)。单变量和多变量分析显示,f/tPSA 和 PSEP 是预测 PSA 灰区 PCa 和 PI-RADS-3 病变的独立因素,其 AUC 值分别为 0.70 和 0.78,最佳临界值分别为 0.18 和 1.45 μg/L,敏感性分别为 84.21% 和 70.18%,特异性分别为 58.44% 和 77.27%(P< 0.01)。联合使用 f/tPSA 和 PSEP 的多变量模型(AUC:在诊断有 PSA 灰区和 PI-RADS-3 病变的 PCa 时,联合使用 f/tPSA 和 PSEP 的多变量模型(AUC:0.82,最佳临界值:0.31,灵敏度:82.46%,特异度:75.32%)优于单独使用 f/tPSA 或 PSEP(P< 0.01,P = 0.04):结论:对于有 PSA 灰区和 PI-RADS-3 病变的患者,f/tPSA 和 PSEP 是预测 PCa 的重要指标。PSEP 联合 f/tPSA 的多变量模型可取代 f/tPSA 检测 PCa,从而提高诊断效果,避免不必要的前列腺活检。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中华男科学杂志
中华男科学杂志 Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
5367
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[Clinical significance of prostatic exosomal protein and PSA in detecting prostate cancer with the PSA gray zone and PI-RADS-3 lesions]. [Effect of dietary modification-assisted multimodal therapy on chronic prostatitis]. [Effect of Xiongcan Yishen Formula on ferroptosis in mouse TM3 Leydig cells after oxidative stress injury]. [Electrophysiological technique for treatment of chronic prostatiti: Curative effect observation]. [Ferroptosis in the testis: Progress in research].
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