SC-CAR4BRAIN is under clinical development by BrainChild Bio and currently in Phase I for Pediatric Diffuse Intrinsic Pontine Glioma. According to GlobalData, Phase I drugs for Pediatric Diffuse Intrinsic Pontine Glioma does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the SC-CAR4BRAIN LoA Report. Buy the report here.

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

SC-CAR4BRAIN overview

SC-CAR4BRAIN is under development for the treatment of pediatric diffuse intrinsic pontine glioma, diffuse midline glioma, and recurrent or refractory central nervous system tumors. The therapeutic candidate is an autologous CD4 plus and CD8 plus T cells lentivirally transduced to express combinations of B7H3, epidermal growth factor receptor 806 (EGFR806), receptor tyrosine protein kinase ERBB 2 (HER2), and interleukin 13 receptor (IL13-zetakine) chimeric antigen receptors (CAR). It is administered through intravenous route.

BrainChild Bio overview

BrainChild Bio is a clinical-stage biotechnology company that focuses on the development of CAR T-cell technology for tumors in the central nervous system (CNS). The company is involved in prioritizing pediatric indications and planning to expand its technology platform to adult brain tumors. It is advancing a next-generation CAR T-cell therapy platform that incorporates synthetic technologies, including multiplex targeting and enhanced potency controls. The company is headquartered in Seattle, Washington, the US.

For a complete picture of SC-CAR4BRAIN’s drug-specific PTSR and LoA scores, buy the report here.

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GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.