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预测建立推荐的 2 期剂量的指标:320 项探索性肿瘤学 1 期试验的分析。

Predictors for establishing recommended phase 2 doses: analysis of 320 dose-seeking oncology phase 1 trials.

机构信息

Département de Cancérologie Générale, Centre Oscar Lambret, 3 Rue F Combemale, 59020 Lille, France.

出版信息

Invest New Drugs. 2012 Apr;30(2):653-61. doi: 10.1007/s10637-010-9574-4. Epub 2010 Nov 4.

Abstract

INTRODUCTION

For decades, determination of the recommended Phase 2 dose (RP2D) was based on the toxicity (especially the maximum tolerated dose or MTD) experienced by patients enrolled in dose-escalating Phase 1 trials investigating anti-cancer agents. Recent studies suggest that this toxicity-based strategy is not suitable for modern anti-cancer agents. We conducted a retrospective study to identify the risk factor(s) for failing to determine the RP2D according to the MTD.

MATERIAL AND METHODS

We analyzed 320 recently published (1997-2008) Phase 1 trials using the maximum tolerated dose (MTD) to define the P2RD. We analyzed the current definitions of RP2D and then identified the risk factors for not establishing the RP2D using the odds ratio and 95% confidence intervals. Interactions between these risk factors were explored using the logistic regression model and CHAID algorithm.

RESULTS

18% of contemporary dose-seeking Phase 1 trials did not identify a RP2D. The logistic regression analysis showed that the risk factors for not identifying the RP2D were: investigation of molecular targeted therapies (RR = 3.0, p = 0.0017), lack of justification of the starting dose (RR = 5.9, p = 0.0121) and lack of definition of the MTD (RR = 8.4, p = 0.0006). The CHAID algorithm confirmed the importance of the methodological parameters.

DISCUSSION

This study confirms the difficulty of determining the RP2D of molecular targeted therapy using conventional methods. However, it underlines the major importance of two methodological points: definition of the MTD and justification of the starting dose.

摘要

简介

几十年来,确定推荐的 II 期剂量(RP2D)的依据是参加评估抗癌药物的剂量递增 I 期试验的患者所经历的毒性(尤其是最大耐受剂量或 MTD)。最近的研究表明,这种基于毒性的策略并不适用于现代抗癌药物。我们进行了一项回顾性研究,以确定根据 MTD 未能确定 RP2D 的风险因素。

材料和方法

我们分析了 320 项最近发表的(1997-2008 年)使用最大耐受剂量(MTD)来定义 RP2D 的 I 期试验。我们分析了当前的 RP2D 定义,然后使用优势比和 95%置信区间确定了未确定 RP2D 的风险因素。使用逻辑回归模型和 CHAID 算法探索了这些风险因素之间的相互作用。

结果

18%的当代剂量探索性 I 期试验未确定 RP2D。逻辑回归分析表明,未确定 RP2D 的风险因素为:分子靶向治疗的研究(RR = 3.0,p = 0.0017)、起始剂量缺乏依据(RR = 5.9,p = 0.0121)和 MTD 定义缺乏(RR = 8.4,p = 0.0006)。CHAID 算法证实了方法学参数的重要性。

讨论

本研究证实了使用传统方法确定分子靶向治疗的 RP2D 具有一定难度。然而,它强调了两个方法学要点的重要性:MTD 的定义和起始剂量的依据。

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