AVC-101 is under clinical development by AvenCell Therapeutics and currently in Phase I for Acute Lymphocytic Leukemia (ALL, Acute Lymphoblastic Leukemia). According to GlobalData, Phase I drugs for Acute Lymphocytic Leukemia (ALL, Acute Lymphoblastic Leukemia) have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how AVC-101’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.
AVC-101 overview
AVC-101 is under development for the treatment of relapsed and refractory acute myeloid leukemia, acute lymphocytic leukemia. The drug candidate comprises of autologous T cells genetically modified to express universal chimeric antigen receptor co-administreed with a targeting module, a recombinant protein adaptor (TM123) targeting CD123. It is being developed based on UniCAR technology, a next-generation modular CAR technology with switch on/switch off mechanism. It is administered through intravenous route.
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It was also under development for blastic plasmacytoid dendritic cell neoplasm (BPDCN)
AvenCell Therapeutics overview
AvenCell Therapeutics is a clinical-stage biopharmaceutical company engaged in discovering, developing, manufacturing and commercialization of immunotherapies, which helps in treating the cancer patients. It is headquartered in Cambridge, Massachusetts, The US.
For a complete picture of AVC-101’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.
