AUTO-6NG is under clinical development by Autolus Therapeutics and currently in Phase I for Glioma. According to GlobalData, Phase I drugs for Glioma have an 81% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how AUTO-6NG’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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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.
AUTO-6NG overview
AUTO-6NG is under development for the treatment of neuroblastoma, osteosarcoma, melanoma, soft tissue sarcoma, H3K27M mutant diffuse midline glioma, small cell lung cancer (SCLC) and with relapsed or refractory neuroblastoma and osteosarcoma in pediatric patients. It comprises chimeric antigen receptor T cells (CAR-T cells) to target GD2 expressing cells. The therapeutic candidate is administered through intravenous and intraventricular route.
Autolus Therapeutics overview
Autolus Therapeutics (Autolus) is a clinical-stage biopharmaceutical company. It offers programmed T-cell therapies for the treatment of hematological cancers and solid tumors. Autolus pipeline products include Obe-cel, AUTO1/22, AUTO5, AUTO6NG, AUTO7 and AUTO8. The company applies its extensive cell programming capability to develop a pipeline of precise, controlled and highly active products as it is both safe and the most therapeutically effective approach to manufacturing CAR T cells. Autolus is headquartered in London, England, the UK.
For a complete picture of AUTO-6NG’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
