IPH-6101 is under clinical development by Innate Pharma and currently in Phase II for Relapsed Acute Myeloid Leukemia. According to GlobalData, Phase II drugs for Relapsed Acute Myeloid Leukemia have a 20% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how IPH-6101’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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IPH-6101 overview
IPH-6101 is under development for the treatment of relapsed or refractory acute myeloid leukemia (R/R AML), B-cell acute lymphoblastic leukemia (B-ALL) and high risk-myelodysplasia (HR-MDS). The tri-specific antibody NKp46/CD16-based NK cell engager that targets CD123. NKp46 is a NK cell specific surface molecule of 46 kD (p46) that is expressed by all resting or activated NK cells. It is administered through intravenous route. It is being developed based on ANKET platform.
It was also under development for the treatment of inflammation.
Innate Pharma overview
Innate Pharma develops antibodies to treat cancer by harnessing the immune system. It offers Lumoxiti, a CD22-directed immunotoxin for the treatment of relapsed or refractory (r/r) hairy cell leukemia. The company is investigating Lacutamab, an anti-KIR3DL2 humanized cytotoxicity-inducing antibody for cutaneous T-cell lymphoma (CTCL), Monalizumab, an immune checkpoint inhibitor targeting solid tumors. Innate Pharma is also evaluating IPH5201, IPH5301, IPH6101, IPH6401, IPH6501 and IPH62 antibodies for the treatment of various tumors. It works in partnership with Sanofi SA, AstraZeneca Plc and other biopharmaceutical companies to develop its products. Innate Pharma is headquartered in Marseille, Provence Alpes Cote d’Azur, France.
For a complete picture of IPH-6101’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.
