Drachenberg Darrel, Awe Julius A, Rangel Pozzo Aline, Saranchuk Jeff, Mai Sabine
Manitoba Prostate Center, Cancer Care Manitoba, Section of Urology, Department of Surgery, University of Manitoba, Winnipeg, MB R3E 0V9, Canada.
University of Manitoba, Cell Biology, Research Institute of Hematology and Oncology, CancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada.
Cancers (Basel). 2019 Jun 20;11(6):855. doi: 10.3390/cancers11060855.
The individual risk to progression is unclear for intermediate risk prostate cancer patients. To assess their risk to progression, we examined the level of genomic instability in circulating tumor cells (CTCs) using quantitative three-dimensional (3D) telomere analysis. Data of CTCs from 65 treatment-naïve patients with biopsy-confirmed D'Amico-defined intermediate risk prostate cancer were compared to radical prostatectomy pathology results, which provided a clinical endpoint to the study and confirmed pre-operative pathology or demonstrated upgrading. Hierarchical centroid cluster analysis of 3D pre-operative CTC telomere profiling placed the patients into three subgroups with different potential risk of aggressive disease. Logistic regression modeling of the risk of progression estimated odds ratios with 95% confidence interval (CI) and separated patients into "stable" vs. "risk of aggressive" disease. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.77, while prostate specific antigen (PSA) (AUC of 0.59) and Gleason 3 + 4 = 7 vs. 4 + 3 = 7 ( > 0.6) were unable to predict progressive or stable disease. The data suggest that quantitative 3D telomere profiling of CTCs may be a potential tool for assessing a patient's prostate cancer pre-treatment risk.
中危前列腺癌患者进展的个体风险尚不清楚。为了评估他们的进展风险,我们使用定量三维(3D)端粒分析检测了循环肿瘤细胞(CTC)中的基因组不稳定水平。将65例未经治疗、活检确诊为达米科定义的中危前列腺癌患者的CTC数据与前列腺癌根治术病理结果进行比较,后者为该研究提供了临床终点,并确认了术前病理或显示病理升级。对术前3D CTC端粒分析进行分层质心聚类分析,将患者分为具有不同侵袭性疾病潜在风险的三个亚组。对进展风险进行逻辑回归建模,估计优势比及95%置信区间(CI),并将患者分为“稳定”与“侵袭性风险”疾病。受试者工作特征(ROC)曲线显示曲线下面积(AUC)为0.77,而前列腺特异性抗原(PSA)(AUC为0.59)以及Gleason评分3+4=7与4+3=7(>0.6)均无法预测疾病进展或稳定。数据表明,CTC的定量3D端粒分析可能是评估患者前列腺癌治疗前风险的一种潜在工具。