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利用循环肿瘤细胞无创检测临床显著前列腺癌

Noninvasive Detection of Clinically Significant Prostate Cancer Using Circulating Tumor Cells.

机构信息

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, United Kingdom.

Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.

出版信息

J Urol. 2020 Jan;203(1):73-82. doi: 10.1097/JU.0000000000000475. Epub 2019 Aug 7.

Abstract

PURPOSE

Prostate specific antigen testing results in unnecessary biopsy and over diagnosis with consequent overtreatment. Tissue biopsy is an invasive procedure associated with significant morbidity. More accurate noninvasive or minimally invasive diagnostic approaches should be developed to avoid unnecessary prostate biopsy and over diagnosis. We investigated the potential of using circulating tumor cell analysis in cancer diagnosis, particularly to predict clinically significant prostate cancer in prebiopsy cases.

MATERIALS AND METHODS

We enrolled 155 treatment naïve patients with prostate cancer and 98 before biopsy for circulating tumor cell enumeration. RNA was extracted from circulating tumor cells of 184 patients for gene expression analysis. The Kruskal-Wallis and Spearman rank tests, multivariate logistic regression and the random forest method were applied to assess the association of circulating tumor cells with aggressive prostate cancer.

RESULTS

Of patients with localized prostate cancer 54% were scored as having positive circulating tumor cells, which was associated with a higher Gleason score (p=0.0003), risk group (p <0.0001) and clinically significant prostate cancer (p <0.0001). In the prebiopsy group a positive circulating tumor cell score combined with prostate specific antigen predicted clinically significant prostate cancer (AUC 0.869). A 12-gene panel prognostic for clinically significant prostate cancer was also identified. When combining the prostate specific antigen level, the circulating tumor cell score and the 12-gene panel, the AUC of clinically significant prostate cancer prediction was 0.927. Adding those data to cases with available multiparametric magnetic resonance imaging data significantly increased prediction accuracy (AUC 0.936 vs 0.629).

CONCLUSIONS

Circulating tumor cell analysis has the potential to significantly improve patient stratification by prostate specific antigen and/or multiparametric magnetic resonance imaging for biopsy and treatment.

摘要

目的

前列腺特异性抗原检测导致不必要的活检和过度诊断,进而导致过度治疗。组织活检是一种具有显著发病率的侵入性操作。应该开发更准确的非侵入性或微创诊断方法,以避免不必要的前列腺活检和过度诊断。我们研究了循环肿瘤细胞分析在癌症诊断中的潜力,特别是预测活检前病例中具有临床意义的前列腺癌。

材料和方法

我们招募了 155 例未经治疗的前列腺癌患者和 98 例活检前患者进行循环肿瘤细胞计数。对 184 例患者的循环肿瘤细胞进行 RNA 提取,用于基因表达分析。采用 Kruskal-Wallis 和 Spearman 秩检验、多变量逻辑回归和随机森林方法评估循环肿瘤细胞与侵袭性前列腺癌的相关性。

结果

局限性前列腺癌患者中 54%的患者评分显示存在阳性循环肿瘤细胞,这与较高的 Gleason 评分(p=0.0003)、风险组(p<0.0001)和具有临床意义的前列腺癌(p<0.0001)相关。在活检前组中,阳性循环肿瘤细胞评分与前列腺特异性抗原联合预测具有临床意义的前列腺癌(AUC 0.869)。还确定了一个预测具有临床意义的前列腺癌的 12 基因面板。当结合前列腺特异性抗原水平、循环肿瘤细胞评分和 12 基因面板时,预测具有临床意义的前列腺癌的 AUC 为 0.927。将这些数据添加到具有可用多参数磁共振成像数据的病例中,显著提高了预测准确性(AUC 0.936 与 0.629)。

结论

循环肿瘤细胞分析有可能通过前列腺特异性抗原和/或多参数磁共振成像显著改善活检和治疗的患者分层。

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