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Clinical Trial Endpoints in Metastatic Cancer: Using Individual Participant Data to Inform Future Trials Methodology
Journal of the National Cancer Institute ( IF 10.3 ) Pub Date : 2021-11-30 , DOI: 10.1093/jnci/djab218
Richard M Goldberg 1 , Richard Adams 2 , Marc Buyse 3, 4 , Cathy Eng 5 , Axel Grothey 6 , Thierry André 7 , Alberto F Sobrero 8 , Stuart M Lichtman 9 , Al B Benson 10 , Cornelis J A Punt 11 , Tim Maughan 12 , Tomasz Burzykowski 3, 4 , Dirkje Sommeijer 13 , Everardo D Saad 14, 15 , Qian Shi 16 , Elisabeth Coart 17 , Benoist Chibaudel 18 , Miriam Koopman 11 , Hans-Joachim Schmoll 19 , Takayuki Yoshino 20 , Julien Taieb 21 , Niall C Tebbutt 22 , John Zalcberg 23 , Josep Tabernero 24 , Eric Van Cutsem 25 , Alastair Matheson 26 , Aimery de Gramont 27, 28
Affiliation  

Meta-analysis based on individual participant data (IPD) is a powerful methodology for synthesizing evidence by combining information drawn from multiple trials. Hitherto, its principal application has been in questions of clinical management, but an increasingly important use is in clarifying trials methodology, for instance in the selection of endpoints, as discussed in this review. In oncology, the Aide et Recherche en Cancérologie Digestive (ARCAD) Metastatic Colorectal Cancer Database is a leader in the use of IPD-based meta-analysis in methodological research. The ARCAD database contains IPD from more than 38 000 patients enrolled in 46 studies and continues to collect phase III trial data. Here, we review the principal findings of the ARCAD project in respect of endpoint selection and examine their implications for cancer trials. Analysis of the database has confirmed that progression-free survival (PFS) is no longer a valid surrogate endpoint predictive of overall survival in the first-line treatment of colorectal cancer. Nonetheless, PFS remains an endpoint of choice for most first-line trials in metastatic colorectal cancer and other solid tumors. Only substantial PFS effects are likely to translate into clinically meaningful benefits, and accordingly, we advocate an oncology research model designed to identify highly effective treatments in carefully defined patient groups. We also review the use of the ARCAD database in assessing clinical response including novel response metrics and prognostic markers. These studies demonstrate the value of IPD as a tool for methodological studies and provide a reference point for the expansion of this approach within clinical cancer research.

中文翻译:

转移性癌症的临床试验终点:利用个体参与者数据为未来的试验方法提供信息

基于个体参与者数据 (IPD) 的荟萃分析是一种通过结合从多个试验中获取的信息来综合证据的强大方法。迄今为止,其主要应用是临床管理问题,但越来越重要的用途是澄清试验方法,例如终点的选择,如本综述中所讨论的。在肿瘤学领域,Aide et Recherche en Cancérologie Digestive (ARCAD) 转移性结直肠癌数据库在方法学研究中使用基于 IPD 的荟萃分析方面处于领先地位。ARCAD 数据库包含 46 项研究中超过 38,000 名患者的 IPD,并继续收集 III 期试验数据。在这里,我们回顾了 ARCAD 项目在终点选择方面的主要发现,并研究了它们对癌症试验的影响。数据库分析证实,无进展生存期 (PFS) 不再是结直肠癌一线治疗中预测总生存期的有效替代终点。尽管如此,PFS 仍然是大多数转移性结直肠癌和其他实体瘤一线试验的首选终点。只有显着的 PFS 效果才可能转化为具有临床意义的益处,因此,我们提倡一种肿瘤学研究模型,旨在在精心定义的患者群体中识别高效的治疗方法。我们还回顾了 ARCAD 数据库在评估临床反应中的使用,包括新的反应指标和预后标志物。这些研究证明了 IPD 作为方法学研究工具的价值,并为该方法在临床癌症研究中的扩展提供了参考点。
更新日期:2021-11-30
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