Sang Yiwen, Wang Xuchu, Yu Pan, Zhang Luyan, Dai Yibei, Zhang Lingyu, Wang Danhua, Liu Zhenping, Wang Yao, Tao Zhihua
Department of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Department of Laboratory Medicine, Ningbo Mingzhou Hospital, Ningbo, China.
Transl Oncol. 2021 Jan;14(1):100963. doi: 10.1016/j.tranon.2020.100963. Epub 2020 Nov 25.
The aim of this study is to investigate the potential application of prostatic aspirated cellular RNA analysis technique for fast diagnosing and staging prostate cancer.
Prostatic aspirated cells were obtained immediately after transrectal ultrasound (TRUS)-guided needle biopsy. Cellular RNA such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA, prostate specific antigen (PSA) mRNA and prostate-specific RNA (PCA3) mRNA were analyzed by using Reverse Transcription-Polymerase Chain Reaction (RT-PCR). PCA3 score was calculated as the ratio of PCA3 mRNA to PSA mRNA expression. Diagnostic performance of the fast-aspirated cellular RNA analysis technique for determining prostate cancer and metastatic status were evaluated by developing receiver operating characteristic curves (ROC), and the correlation between aspirated cellular RNA mRNA expressions and risk grouping was calculated, to investigate the underlying potential for PCa staging.
PCA3 score was significantly higher in prostatic aspirated cells obtained from cancerous tissues than noncancerous tissues. The median aspirated cellular PCA3 score was higher in patients with PCa compared to BPH, and presenting an area under the ROC curve (AUC) of 0.87 (95%CI: 0.79-0.94) for PCa diagnosis. Multivariate regression analysis revealed that baseline median aspirated cellular PCA3 score (OR=9.316, 95%CI: 1.045-83.033, P<0.05) was an independent predictive factor for metastatic status in PCa patients.
The ease of use and minimal complexity of fast prostatic aspirated cellular RNA analysis may be a valuable diagnostic technique, providing urgent diagnostic information for accurate PCa diagnosing and staging.
本研究旨在探讨前列腺穿刺细胞RNA分析技术在前列腺癌快速诊断及分期中的潜在应用。
经直肠超声(TRUS)引导下针吸活检后立即获取前列腺穿刺细胞。采用逆转录聚合酶链反应(RT-PCR)分析细胞RNA,如甘油醛-3-磷酸脱氢酶(GAPDH)mRNA、前列腺特异性抗原(PSA)mRNA和前列腺特异性RNA(PCA3)mRNA。计算PCA3评分,即PCA3 mRNA与PSA mRNA表达的比值。通过绘制受试者工作特征曲线(ROC)评估快速穿刺细胞RNA分析技术在确定前列腺癌及转移状态方面的诊断性能,并计算穿刺细胞RNA mRNA表达与风险分组之间的相关性,以研究前列腺癌分期的潜在可能性。
癌组织来源的前列腺穿刺细胞中PCA3评分显著高于非癌组织。前列腺癌患者穿刺细胞PCA3评分中位数高于良性前列腺增生(BPH)患者,在前列腺癌诊断中ROC曲线下面积(AUC)为0.87(95%CI:0.79 - 0.94)。多因素回归分析显示,基线穿刺细胞PCA3评分中位数(OR = 9.316,95%CI:1.045 - 83.033,P < 0.05)是前列腺癌患者转移状态的独立预测因素。
快速前列腺穿刺细胞RNA分析操作简便且复杂度低,可能是一种有价值的诊断技术,可为前列腺癌的准确诊断和分期提供紧急诊断信息。