Bayesian Design for Identifying Cohort-Specific Optimal Dose Combinations Based on Multiple Endpoints: Application to a Phase I Trial in Non-Small Cell Lung Cancer.
Bayesian Design for Identifying Cohort-Specific Optimal Dose Combinations Based on Multiple Endpoints: Application to a Phase I Trial in Non-Small Cell Lung Cancer.
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DOI:
10.3390/ijerph182111452
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发表时间:
2021-10-30
影响因子:
--
通讯作者:
Gentzler RD
中科院分区:
文献类型:
--
作者:
Horton BJ;Wages NA;Gentzler RD
Immunotherapy and chemotherapy combinations have proven to be a safe and efficacious treatment approach in multiple settings. However, it is not clear whether approved doses of chemotherapy developed to achieve a maximum tolerated dose are the ideal dose when combining cytotoxic chemotherapy with immunotherapy to induce immune responses. This trial of a modulated dose chemotherapy and Pembrolizumab, with or without a second immunomodulatory agent, uses a Bayesian design to select the optimal treatment combination by balancing both safety and efficacy of the chemotherapy and immunotherapy agents within each of two cohorts. The simulation study provides evidence that the proposed Bayesian design successfully addresses the primary study aim to identify the optimal dose combination for each of the two independent patient cohorts. This conclusion is supported by the high percentage of simulated trials which select a treatment combination that is both safe and highly efficacious. The proposed trial was funded and was being finalized when the sponsoring company decided not to proceed due to negative findings in another patient population. The proposed trial design will continue to be relevant as multiple chemotherapy and immunotherapy combinations become the standard of care and future research will require evaluating the appropriate doses of various components of multiple drug regimens.
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影响因子:
2
作者:
Conaway MR
通讯作者:
Conaway MR
DOI:
10.1177/1740774518801599
发表时间:
2019-03
期刊:
Clinical trials (London, England)
影响因子:
--
作者:
Horton BJ;Wages NA;Conaway MR
通讯作者:
Conaway MR
DOI:
10.1177/1740774517722760
发表时间:
2017-10
期刊:
Clinical trials (London, England)
影响因子:
--
作者:
Conaway M
通讯作者:
Conaway M
DOI:
10.3390/ijerph18020530
发表时间:
2021-01-10
影响因子:
--
作者:
Giovagnoli A
通讯作者:
Giovagnoli A
影响因子:
1.9
作者:
OQUIGLEY, J;PEPE, M;FISHER, L
通讯作者:
FISHER, L