卡巴齐塔塞尔
恩扎鲁胺
前列腺癌
医学
循环肿瘤细胞
危险系数
肿瘤科
内科学
多西紫杉醇
生物标志物
比例危险模型
癌症
置信区间
转移
雄激素剥夺疗法
雄激素受体
生物
生物化学
作者
Bodine P.S. Belderbos,Anieta M. Sieuwerts,Esther Oomen‐de Hoop,Bianca Mostert,Jaco Kraan,Paul Hamberg,Mai Van,Corine M. Beaufort,Wendy Onstenk,Robert J. van Soest,John W.M. Martens,Stefan Sleijfer,Ronald de Wit,Ron H.J. Mathijssen,Martijn P. Lolkema
标识
DOI:10.1016/j.ejca.2019.08.005
摘要
The interpretation of the presence of AR-V7 in circulating tumour cells (CTCs) in men with metastatic castration-resistant prostate cancer (mCRPC) remains to be elucidated. AR-V7 may hold promise as a predictive biomarker, but there may be prognostic impact of AR-V7 positivity as well. To investigate the clinical value of AR-V7, we determined whether AR-V7 detection in CTCs in patients with mCRPC is associated with CTC counts and survival.Between December 2011 and January 2019, three prospective clinical trials collected clinical data of patients with mCRPC, who progressed after docetaxel and/or enzalutamide or abiraterone. Baseline (and follow-up) blood samples were withdrawn determining CTC count and AR-V7 expression. The majority of patients started cabazitaxel as the next line of treatment after AR-V7 characterisation.A total of 127 samples were evaluable for the analysis of CTC count versus AR-V7 status. Although an association was observed between AR-V7 and CTC count in all patients with mCRPC (p = 0.017), no such association was found in the prognostic unfavourable subgroup of patients with ≥5 CTCs. After adjusting for clinical prognostic factors, AR-V7 expression in CTCs was not associated with overall survival (hazard ratio = 1.33, 95% confidence interval = 0.81-2.15, p = 0.25).We found that AR-V7 expression in CTCs had no additional prognostic value in patients with mCRPC, mostly treated with cabazitaxel. In patients with mCRPC with a predefined worse prognosis of a higher CTC count (≥5), a predictive biomarker is an important unmet medical need. Prospective trials should investigate whether AR-V7 detection in CTCs may guide treatment selection for these adverse prognosis patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI