IMPT-314 is under clinical development by ImmPACT Bio USA and currently in Phase II for Primary Mediastinal B-Cell Lymphoma. According to GlobalData, Phase II drugs for Primary Mediastinal B-Cell Lymphoma have an 82% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how IMPT-314’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.

IMPT-314 overview

IMPT-314 is under investigation for the treatment of treatment of refractory chronic lymphocytic leukemia (CLL), aggressive B-cell (primary mediastinal B-Cell lymphoma), follicular lymphoma and mantle cell lymphoma. It is administered intravenously. The therapeutic candidate consists of autologous T cells encoding chimeric antigen receptor (CAR) targeting CD19 and CD20. It acts by targeting CD19 and CD20 expressing cancer cells.

ImmPACT Bio USA overview

ImmPACT-Bio USA Inc (ImmPACT-Bio) is a clinical-stage company that discovers and transforms chimeric antigen receptor (CAR) T-cell therapies to address biological challenges in treating cancer and autoimmune diseases using CAR T-cell platforms. The company’s pipeline products include IMPT-314, IMPT- 514 and TBD. Its pipeline candidates treat aggressive B-cell lymphoma, lupus nephritis, and gastric cancer. The company was funded by Decheng Capital, Foresite Capital, JVC investment partners, Takeda and others. ImmPACT Bio is headquartered in Los Angeles, California, the US.

For a complete picture of IMPT-314’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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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.