The Modified Combo i3+3 Design for Novel-Novel Combination Dose-Finding Trials in Oncology
Jiaxin Liu, Shijie Yuan, Qiqi Deng, Yuan Ji

TL;DR
The paper introduces the MCi3+3 design, a flexible, multi-stage approach for dose-finding in novel drug combinations in oncology, balancing simplicity, safety, and effectiveness.
Contribution
It proposes a new modified design for dual-agent dose-finding trials that combines single-agent escalation, model-free, and model-based stages for practical use.
Findings
MCi3+3 manages various toxicity scenarios effectively.
It has operational characteristics comparable to existing methods.
The design offers improved safety in dose-finding.
Abstract
We consider a modified Ci3+3 (MCi3+3) design for dual-agent dose-finding trials in which both agents are tested on multiple doses. This usually happens when the agents are novel therapies. The MCi3+3 design offers a two-stage or three-stage version, depending on the practical need. The first stage begins with single-agent dose escalation, the second stage launches a model-free combination dose finding for both agents, and optionally, the third stage follows with a model-based design. MCi3+3 aims to maintain a relatively simple framework to facilitate practical application, while also address challenges that are unique to novel-novel combination dose finding. Through simulations, we demonstrate that the MCi3+3 design adeptly manages various toxicity scenarios. It exhibits operational characteristics on par with other combination designs, while offering an enhanced safety profile. The…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Lung Cancer Treatments and Mutations · Radiomics and Machine Learning in Medical Imaging
