Meeting Highlights: DIA China 2021
Takeda Development Center Asia
ew treatment areas including gene therapy, cell therapy, oncolytic virus, and proteolysis targeting chimera (PROTAC) products are growing into hotspots for early drug development in China. The recently issued Center for Drug Evaluation (CDE) Technical Guideline for the clinical trials of the oncolytic virus products emphasized methods of risk control in exploratory clinical trials for these products.
Oncolytic Virus Products
Lacking biomarkers for accurate diagnosis has always been a challenge for oncolytic virus products, which could lead to the arduous and risky trial-and-error process of finding the right target patients. For example, a search of biomarkers for M1 virus recently discovered that the strong oncolytic effect of M1 virus was determined both by the high expression of cell adhesion molecule MXRA8 and the low expression of intracellular biomarker ZAP. This type of dual biomarker will drive a basket trial in multiple malignancies.
Proteolysis Targeting Chimera (PROTAC)
A successful PROTAC development platform selects the correct cancer target, avoids toxicity while achieving desired tissue distribution, and chooses the proper linking mechanism to optimize oral absorption and other druglike properties. Recent success in using PROTAC to target c-Myc for the treatment of hematologic malignancies demonstrates the power of this technique on previously undruggable targets.
Selecting First-in-Human (FIH) Starting Dose
This Working Group has proposed using a risk-based dose-selection decision tree to choose MABEL or non-MABEL methods to lower the potential risk in FIH trials. This decision should account for safety risks, the availability of relevant in vitro human assays and/or in vivo animal assays for toxicity testing, and the availability of in vitro or in vivo toxicity profiles including high safety risk for FIH subjects. Other recommendations for MABEL determination include using the most relevant (instead of the most sensitive) assay that reflects in vivo efficacy and safety endpoints and employing PK/PD modeling-based approaches to integrating data.