IMA-201 is under clinical development by Immatics and currently in Phase I for Ovarian Cancer. According to GlobalData, Phase I drugs for Ovarian Cancer have a 73% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IMA-201’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.

IMA-201 overview

IMA-201 is under development for the treatment of solid tumors such as  hepatocellular carcinoma, ovarian cancer and subtypes of sarcoma. It is administered intravenously. The therapeutic candidate is based on XPRESIDENT and ACTengine platform. XPRESIDENT is a target discovery engine which identifies tumor-associated peptides (TUMAPs) / T-cell targets. ACTengine platform uses autologous T-cells which are genetically engineered to express T-cell receptors targeting MAGEA4 and MAGEA8. These cells are expanded ex-vivo and reinfused back into the patient.

It was under development for the treatment of squamous cell non-small cell lung cancer, bladder cancer and head and neck squamous cell carcinoma.

Immatics overview

Immatics is a biopharmaceutical company focused on the development of T cell immunotherapies to fight against cancer. Immatics is headquartered in Tuebingen, Germany.

For a complete picture of IMA-201’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.