Suppr超能文献

肿瘤药物联合 I 期临床试验设计:文献系统评价。

Designs of drug-combination phase I trials in oncology: a systematic review of the literature.

机构信息

INSERM, U1138, Team 22, Centre de Recherche des Cordeliers, Université Paris 5, Université Paris 6, Paris; IRIS (Institut de Recherches Internationales Servier), Suresnes.

Institut Curie INSERM, U900, Paris; Department of Medical Oncology, Institut Curie, Paris, France.

出版信息

Ann Oncol. 2015 Apr;26(4):669-674. doi: 10.1093/annonc/mdu516. Epub 2014 Nov 17.

Abstract

BACKGROUND

Combining several anticancer agents can increase the overall antitumor action, but at the same time, it can also increase the overall observed toxicity. Adaptive dose-escalation designs for drug combinations have recently emerged as an attractive alternative to algorithm-based designs, and they seem more effective in combination recommendations. These methods are not used in practice currently. Our aim is to describe international scientific practices in the setting of phase I drug combinations in oncology.

MATERIAL AND METHODS

A bibliometric study on phase I dose-finding combination trials was conducted using the Medline(®) PubMed database between 1 January, 2011, and 31 December 2013. Sorting by abstract, we selected all papers involving a minimum of two agents and then retained only those in which at least two agents were dose-escalated.

RESULTS

Among the 847 references retrieved, 162 papers reported drug-combination phase I trials in which at least two agents were dose-escalated. In 88% of trials, a traditional or modified 3 + 3 dose-escalation design was used. All except one trial used a design developed for single-agent evaluation. Our study suggests that drug-combination phase I trials in oncology are very safe, as revealed by the calculated median dose-limiting toxicity rate of 6% at the recommended dose, which is far below the target rate in these trials (33%). We also examined requirements of phase I clinical trials in oncology with drug combinations and the potential advantages of novel approaches in early phases.

CONCLUSION

Efforts to promote novel and innovative approaches among statisticians and clinicians appear valuable. Adaptive designs have an important role to play in early phase development.

摘要

背景

联合使用几种抗癌药物可以提高整体抗肿瘤作用,但同时也会增加整体观察到的毒性。最近,药物联合的适应性剂量递增设计作为基于算法的设计的一种有吸引力的替代方案出现,并且在联合推荐中似乎更有效。这些方法目前尚未在实践中使用。我们的目的是描述肿瘤学中 I 期药物联合的国际科学实践。

材料和方法

使用 Medline(®)PubMed 数据库在 2011 年 1 月 1 日至 2013 年 12 月 31 日之间进行了 I 期药物组合剂量发现试验的文献计量学研究。通过摘要排序,我们选择了所有涉及至少两种药物的论文,然后仅保留了至少两种药物进行剂量递增的论文。

结果

在检索到的 847 篇参考文献中,有 162 篇论文报告了至少两种药物进行剂量递增的药物联合 I 期试验。在 88%的试验中,使用了传统或改良的 3 + 3 剂量递增设计。除了一个试验外,所有试验都使用了专为单药评估而开发的设计。我们的研究表明,肿瘤学中的药物联合 I 期试验非常安全,因为计算得出的推荐剂量下的中位剂量限制毒性率为 6%,远低于这些试验的目标率(33%)。我们还检查了肿瘤学中药物联合的 I 期临床试验的要求和早期阶段新方法的潜在优势。

结论

似乎有必要促进统计学家和临床医生采用新的和创新的方法。自适应设计在早期开发阶段具有重要作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验