Wang Chun, Mu Zhaomei, Chervoneva Inna, Austin Laura, Ye Zhong, Rossi Giovanna, Palazzo Juan P, Sun Carl, Abu-Khalaf Maysa, Myers Ronald E, Zhu Zhu, Ba Yanna, Li Bingshan, Hou Lifang, Cristofanilli Massimo, Yang Hushan
Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
Division of Hematology and Oncology, Robert H Lurie Comprehensive Cancer Center, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Breast Cancer Res Treat. 2017 Jan;161(1):83-94. doi: 10.1007/s10549-016-4026-2. Epub 2016 Oct 22.
Circulating tumor cell (CTC) is a well-established prognosis predictor for metastatic breast cancer (MBC), and CTC-cluster exhibits significantly higher metastasis-promoting capability than individual CTCs. Because measurement of CTCs and CTC-clusters at a single time point may underestimate their prognostic values, we aimed to analyze longitudinally collected CTCs and CTC-clusters in MBC prognostication.
CTCs and CTC-clusters were enumerated in 370 longitudinally collected blood samples from 128 MBC patients. The associations between baseline, first follow-up, and longitudinal enumerations of CTCs and CTC-clusters with patient progression-free survival (PFS) and overall survival (OS) were analyzed using Cox proportional hazards models.
CTC and CTC-cluster counts at both baseline and first follow-up were significantly associated with patient PFS and OS. Time-dependent analysis of longitudinally collected samples confirmed the significantly unfavorable PFS and OS in patients with ≥5 CTCs, and further demonstrated the independent prognostic values by CTC-clusters compared to CTC-enumeration alone. Longitudinal analyses also identified a link between the size of CTC-clusters and patient OS: compared to the patients without any CTC, those with 2-cell CTC-clusters and ≥3-cell CTC-clusters had a hazard ratio (HR) of 7.96 [95 % confidence level (CI) 2.00-31.61, P = 0.003] and 14.50 (3.98-52.80, P < 0.001), respectively.
In this novel time-dependent analysis of longitudinally collected CTCs and CTC-clusters, we showed that CTC-clusters added additional prognostic values to CTC enumeration alone, and a larger-size CTC-cluster conferred a higher risk of death in MBC patients.
循环肿瘤细胞(CTC)是转移性乳腺癌(MBC)公认的预后预测指标,且CTC簇的转移促进能力明显高于单个CTC。由于在单一时间点测量CTC和CTC簇可能会低估其预后价值,我们旨在分析纵向收集的CTC和CTC簇在MBC预后中的作用。
对128例MBC患者纵向收集的370份血样中的CTC和CTC簇进行计数。使用Cox比例风险模型分析CTC和CTC簇的基线、首次随访及纵向计数与患者无进展生存期(PFS)和总生存期(OS)之间的关联。
基线和首次随访时的CTC及CTC簇计数均与患者的PFS和OS显著相关。对纵向收集样本的时间依赖性分析证实,CTC≥5的患者PFS和OS明显较差,且与单独的CTC计数相比,CTC簇具有独立的预后价值。纵向分析还发现了CTC簇大小与患者OS之间的联系:与无任何CTC的患者相比,有2细胞CTC簇和≥3细胞CTC簇的患者风险比(HR)分别为7.96[95%置信区间(CI)2.00 - 31.61,P = 0.003]和14.50(3.98 - 52.80,P < 0.001)。
在这项对纵向收集的CTC和CTC簇进行的新型时间依赖性分析中,我们表明CTC簇比单独的CTC计数增加了额外的预后价值,且更大尺寸的CTC簇使MBC患者的死亡风险更高。