Non-parametric overdose control for dose finding in drug combination trials

被引:5
|
作者
Lam, Chi Kin [1 ]
Lin, Ruitao [2 ]
Yin, Guosheng [1 ]
机构
[1] Univ Hong Kong, Hong Kong, Peoples R China
[2] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA
关键词
Bayesian model selection; Drug combination; Loss function; Maximum tolerated dose contour; Non-parametric design; CONTINUAL REASSESSMENT METHOD; CLINICAL-TRIALS; DESIGN; ESCALATION; ONCOLOGY; AGENT; EWOC;
D O I
10.1111/rssc.12349
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
With the emergence of novel targeted anticancer agents, drug combinations have been recognized as cutting edge development in oncology. However, limited attention has been paid to overdose control in the existing drug combination dose finding methods which simultaneously find a set of maximum tolerated dose (MTD) combinations. To enhance patient safety, we develop the multiple-agent non-parametric overdose control (MANOC) design for identifying the MTD combination in phase I drug combination trials. By minimizing an asymmetric loss function, we control the probability of overdosing in a local region of the current dose combination. We further extend the MANOC design to identify the MTD contour by conducting a sequence of single-agent subtrials with the dose level of one agent fixed. Simulation studies are conducted to investigate the performance of the designs proposed. Although the MANOC design can prevent patients from being allocated to overtoxic dose levels, its accuracy and efficiency in dose finding remain competitive with existing methods. As an illustration, the MANOC design is applied to a phase I clinical trial for identifying the MTD combinations of buparlisib and trametinib.
引用
收藏
页码:1111 / 1130
页数:20
相关论文
共 50 条
  • [1] Nonparametric overdose control for dose finding in drug-combination trials
    Lam, Chi Kin
    Lin, Ruitao
    Yin, Guosheng
    TRIALS, 2017, 18
  • [2] Non-parametric optimal design in dose finding studies
    O'Quigley, J
    Paoletti, X
    Maccario, J
    BIOSTATISTICS, 2002, 3 (01) : 51 - 56
  • [3] A non-parametric approach to the design and analysis of two-dimensional dose-finding trials
    Ivanova, A
    Wang, K
    STATISTICS IN MEDICINE, 2004, 23 (12) : 1861 - 1870
  • [4] A new function for drug combination dose finding trials
    Jiacheng Xiao
    Weijia Zhang
    Scientific Reports, 14
  • [5] A new function for drug combination dose finding trials
    Xiao, Jiacheng
    Zhang, Weijia
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [6] Dose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials
    Tighiouart, Mourad
    Rogatko, Andre
    STATISTICAL SCIENCE, 2010, 25 (02) : 217 - 226
  • [7] Dose finding with drug combinations in cancer phase I clinical trials using conditional escalation with overdose control
    Tighiouart, Mourad
    Piantadosi, Steven
    Rogatko, Andre
    STATISTICS IN MEDICINE, 2014, 33 (22) : 3815 - 3829
  • [8] Non-parametric Bayesian annotator combination
    Servajean, M.
    Chailan, R.
    Joly, A.
    INFORMATION SCIENCES, 2018, 436 : 131 - 145
  • [9] Dynamic ordering design for dose finding in drug-combination trials
    Zhang, Teng
    Yang, Zhao
    Yin, Guosheng
    PHARMACEUTICAL STATISTICS, 2021, 20 (02) : 348 - 361
  • [10] A New Bayesian Dose-Finding Design for Drug Combination Trials
    Mu, Rongji
    Xu, Jin
    STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2017, 9 (04): : 384 - 389