IGM-2644 is under clinical development by IGM Biosciences and currently in Phase I for Refractory Multiple Myeloma. According to GlobalData, Phase I drugs for Refractory Multiple Myeloma have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IGM-2644’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.

IGM-2644 overview

IGM-2644 is under development for the treatment of relapsed and refractory multiple myeloma and autoimmune disorders. The therapeutic candidate acts by targeting CD38 and CD3. The drug candidate is a T cell engager developed based on IgM platform. It is administered through intravenous route.

IGM Biosciences overview

IGM Biosciences operates as a biotechnology company that develops novel antibodies for the treatment of cancer and other diseases. The company’s pipeline product portfolio includes IGM-2323is an IgM-based CD20 x CD3 bispecific antibody T cell engager, IGM-8444 is an IgM antibody targeting Death Receptor, IGM-7354 is a targeted IL-15 immune stimulating antibody and IGM-2644 a T cell engaging IgM antibody targeting CD38 for the treatment of patients with multiple myeloma. It utilizes IgM and IgA antibodies technology for developing its products. IGM Biosciences is headquartered in Mountain View, California, the US.

For a complete picture of IGM-2644’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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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.