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.

Camonsertib overview

RP-3500 is under development for the treatment of solid tumor including ovarian cancer, breast cancer, pancreatic cancer, head and neck cancer squamous cell carcinoma, melanoma, hormone refractory (castration resistant, androgen-independent) prostate cancer, relapsed and refractory chronic lymphocytic leukemia (CLL). It is administered through oral route. The drug candidate is developed based on CRISPR-enabled synthetic lethality drug discovery platform. It acts by targeting ataxia telangiectasia and Rad3 related protein (ATR).

F. Hoffmann-La Roche overview

F. Hoffmann-La Roche (Roche) is a biotechnology company that develops drugs and diagnostics to treat major diseases. It provides medicines for the treatment of cancer, other auto-immune diseases, central nervous system disorders, ophthalmological disorders, infectious diseases, and respiratory diseases. The company also offers in vitro diagnostics, tissue-based cancer diagnostics, and diabetes management solutions. Roche conducts research to identify novel methods to prevent, diagnose, and treat diseases. The company offers its products and services to hospitals, healthcare professionals, commercial laboratories, researchers, and pharmacists. Together with its subsidiaries and partners, the company has operations in various countries. Roche is headquartered in Basel, Switzerland.

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

This content was updated on 2 September 2023

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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.