Likelihood of Approval and Phase Transition Success Rate Model – Prexasertib Mesylate Monohydrate in Oral Cavity (Mouth) Cancer
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This report provides you with the data that allows you to track and predict the specific likelihood of approval (LOA) and phase transition success rate (PTSR) of a drug using GlobalData’s proprietary machine learning algorithms developed using over 10 years of historical data.


Prexasertib Mesylate Monohydrate in Oral Cavity (Mouth) Cancer Drug Details:
Prexasertib (LY-2606368 monomesylate monohydrate) is under development for the treatment of pediatric CNS tumors including refractory or recurrent medulloblastoma, metastatic ovarian cancer, endometrial cancer, metastatic and unresectable urothelial carcinoma, peritoneal cancer, fallopian tube cancer, bladder cancer, cervical cancer, human papilloma virus positive squamous cell carcinoma, squamous cell carcinoma of head and neck cancer, oral cavity (mouth) cancer, oropharyngeal cancer, laryngeal cancer, hypopharyngeal cancer and squamous cell cancer of the anus. The drug candidate is administered intravenously. It is a new chemical entity (NCE) which acts by targeting Chk1 and Chk2 protein kinase.It was also under development for metastatic colorectal cancer, squamous cell carcinomas including squamous non-small cell lung cancer, epithelial ovarian cancer, peritoneal cancer, fallopian tube cancer, extensive stage disease small-cell lung cancer, metastatic castrate-resistant prostate cancer, metastatic triple negative breast cancer, relapsed or refractory acute myeloid leukemia and high-risk myelodysplastic syndrome and pediatric CNS tumors including neuroblastoma, childhood rhabdomyosarcoma. It is being developed based on AP3 platform technology.
Report Coverage
The data is segmented by drug name per indication and shows the current likelihood of approval for the drug compared to the indication benchmark and the industry benchmark.
The Likelihood of Approval data is updated regularly based on events that take place which impact the clinical development process and regulatory considerations. GlobalData’s proprietary machine learning models consider these events in real time, to produce quantitative changes to the LOA and PTSR along with qualitative reasoning why the likelihood of approval has changed.
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Reasons to Buy
- Precise Likelihood of Approval and Phase Transition Success Rates: Our machine learning and proprietary models provide accurate predictions, helping you gauge the potential success of a drug in the regulatory process.
- Competitive Strategy Planning: Access information on LOA and PTSR for competitors’ drugs, allowing you to plan your clinical development, commercialisation and marketing strategies
- Event-driven Updates: Track event-driven changes in LOA and PTSR benchmarked against indication LOA/PTSR. Get the latest insights to adapt your strategies promptly!
- Well-informed Investment Decisions: This data helps you navigate the dynamic landscape of drug development and regulatory considerations.
Scope
- Drug Details: Drug name, Drug type, Intervention type
- Administration Pathway
- Therapeutic Areas
- Key Manufacturers
- Drug Development Status
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