Imvotamab by IGM Biosciences for Rheumatoid Arthritis: Likelihood of Approval

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.

Imvotamab overview

Imvotamab is under development for the treatment of rituximab resistant/refractory diffuse large cell lymphoma, mantle cell lymphoma, marginal zone B-cell lymphoma, relapsed and refractory B cell non-Hodgkin’s lymphoma (NHL), chronic lymphocytic leukemia (CLL), systemic lupus erythematosus (SLE), rheumatoid arthritis(RA), idiopathic inflammatory myopathy (myositis) and other autoimmune disorders. The therapeutic candidate is a bi-specific T cell engager IgM antibody targeting CD20 and CD3. It is developed based on IgM antibody technology.

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 Imvotamab’s drug-specific PTSR and LoA scores, buy the report here.

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.