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Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients

机译:推进中度前列腺癌患者的风险评估

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摘要

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 (p > 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.
机译:对于中度风险的前列腺癌患者,进展的个体风险尚不清楚。为了评估其进展风险,我们使用定量三维(3D)端粒分析检查了循环肿瘤细胞(CTC)中基因组不稳定的水平。将65例未接受过活检的,经活检证实为D'Amico定义的中度危险性前列腺癌的患者的CTC数据与根治性前列腺切除术的病理结果进行了比较,该结果为该研究提供了临床终点,并确认了术前病理或证实了其升级。对3D术前CTC端粒分析进行分层质心聚类分析,将患者分为三个亚组,每个亚组都有不同的侵袭性疾病潜在风险。对进展风险进行逻辑回归建模,估计比值比为95%置信区间(CI),并将患者分为“稳定”与“侵略性”疾病。受体工作特征(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)和Gleason 3 + 4 = 7 vs. 4 + 3 = 7(p> 0.6 )无法预测疾病的进展或稳定。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潜在工具。

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