Mathematical Institute Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands.
Department Paediatric Oncology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
Cancer Chemother Pharmacol. 2019 May;83(5):951-962. doi: 10.1007/s00280-019-03797-3. Epub 2019 Mar 16.
There is lack of consensus on the prognostic value of received high dose intensity in osteosarcoma survivorship. Many studies have not shown a clear survival benefit when dose intensity is increased. The aim of this study is to go beyond chemotherapy intensification by arm-wide escalation of intended dose and/or compression of treatment schedule, while conversely addressing the relationship between treatment intensity and survival at the patient level. The study focusses on the difference in outcome results, based on a novel, progressively more individualised approach to dose intensity.
A retrospective analysis of data from MRC BO06/EORTC 80931 randomised controlled trial for treatment of osteosarcoma was conducted. Three types of post hoc patient groups are formed using the intended regimen: the individually achieved cumulative dose and time on treatment, and the increase of individual cumulative dose over time. Event-free survival is investigated and compared in these three stratifications.
The strata of intended regimen and achieved treatment yields equivalent results. Received cumulative dose over time produces groups with evident different survivorship characteristics. In particular, it highlights a group of patients with an estimated 3-year event-free survival much larger (more than 10%) than other patient groups. This group mostly contains patients randomised to an intensified regimen. In addition, adverse events reported by that group show the presence of increased preoperative myelotoxicity.
The manuscript shows the benefits of analyzing studies by using longitudinal data, e.g. recorded per cycle. This has impact on the drafting of future trials by showing why such a level of detail is needed for both treatment and adverse event data. The novel method proposed, based on cumulative dose received over time, shows that longitudinal treatment data might be used to link survival outcome with drug metabolism. This is particularly valuable when pharmacogenetics data for metabolism of cytotoxic agents are not collected.
ISRCTN86294690.
骨肉瘤生存者中,高剂量强度的接受情况的预后价值尚未达成共识。许多研究表明,增加剂量强度时并未显示出明显的生存获益。本研究的目的是通过手臂广泛增加目标剂量和/或压缩治疗方案来超越化疗强化,同时在患者层面上解决治疗强度与生存之间的关系。该研究基于一种新颖的、逐步个体化的剂量强度方法,专注于结果的差异。
对 MRC BO06/EORTC 80931 随机对照试验治疗骨肉瘤的数据进行回顾性分析。使用既定方案形成了三种事后患者群体:个体累积剂量和治疗时间,以及个体累积剂量随时间的增加。在这三种分层中研究并比较无事件生存率。
既定方案和实际治疗的分层结果相当。随着时间的推移,累积剂量的接受情况产生了具有明显不同生存特征的群体。特别是,它突出了一组患者的 3 年无事件生存率估计值(超过 10%)明显高于其他患者群体。该组主要包含随机分配到强化方案的患者。此外,该组报告的不良事件显示出术前骨髓毒性增加。
本文表明,通过使用纵向数据(例如,按周期记录)分析研究的好处。这对未来试验的起草产生了影响,表明为什么需要如此详细的治疗和不良事件数据。基于随时间接受的累积剂量提出的新方法表明,纵向治疗数据可用于将生存结果与药物代谢联系起来。当未收集细胞毒性药物代谢的遗传药理学数据时,这尤其有价值。
ISRCTN86294690。