APR-1051 is under clinical development by Aprea Therapeutics and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how APR-1051’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.

APR-1051 overview

ATRN-W1051 is under development for the treatment of solid tumors such as breast cancer, colorectal cancer,  prostate cancer and ovarian cancer. They act by targeting DDR (DNA Damage Response). It act by targeting Wee1 Like Protein Kinase (WEE1). It is administered through oral route of administration.

Aprea Therapeutics overview

Aprea Therapeutics is a biopharmaceutical company that develops cancer therapeutics that reactivate mutant tumor suppressor protein, p53. Its DDR products pipeline includes ATRN-119 and ATRN-W1051. The company also offers products such as APR-246 drugs and therapeutics for myelodysplastic syndromes (MDS), acute myeloid leukemia (AML), and additional hematologic and solid tumor malignancies. It also has pre-clinical research and development to extend its product development. The company operates offices in Sweden and the US. Aprea Therapeutics is headquartered in Doylestown, Pennsylvania, the US.

For a complete picture of APR-1051’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 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.