IMGS-001 by Immunogenesis for Gastric Cancer: Likelihood of Approval

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IMGS-001 is under clinical development by Immunogenesis and currently in Phase I for Gastric Cancer. According to GlobalData, Phase I drugs for Gastric Cancer have a 74% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IMGS-001’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.

IMGS-001 overview

IMGS-001 is under development for the treatment of  metastatic solid tumors, ovarian cancer, prostate, colorectal, triple-negative breast cancer, gastroesophageal junction adenocarcinoma, bladder cancer, esophageal cancer, bladder cancer and pancreatic cancer. The drug candidate is a dual specific checkpoint inhibitor and tumor microenvironment (TME) remodeling agent. It is a bi-specific monoclonal antibody acts by targeting programmed cell death protein 1 (PD-1), programmed cell death 1 ligand 1 and 2 and cytotoxic T lymphocyte protein 4 (CTLA-4).

Immunogenesis overview

Immunogenesis is a developer of immuno-oncology therapeutics intended to create anti-tumor immunity against cold cancers. The company is headquartered in Houston, Texas, The US.

For a complete picture of IMGS-001’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.

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