Likelihood of Approval and Phase Transition Success Rate Model – Eflornithine Hydrochloride in Gastric 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.


Eflornithine Hydrochloride in Gastric Cancer Drug Details:
Eflornithine Hydrochloride (Iwilfin) is alpha amino acid acts as an anti-neoplatic agent. It is formulated as tablets for oral route of administration. Iwilfin is indicated to reduce the risk of relapse in adult and pediatric patients with high-risk neuroblastoma (HRNB) who have demonstrated at least a partial response to prior multiagent, multimodality therapy including anti-GD2 immunotherapy.Eflornithine hydrochloride (CPP-1X) is under development for the treatment of STK11 mutated non-small cell lung cancer, refractory or relapsed neuroblastoma, gastric cancer, pancreatic cancer, metastatic castrate resistant prostate cancer (mCRPC), multiple myeloma and early onset type 1 diabetes mellitus. The drug candidate is administered through oral route in the form of tablet and high dose powder. CPP-1X acts by targeting ornithine decarboxylase. CPP-1X is a difluoromethylated ornithine (DFMO) compound that displays antiapoptotic, antiangiogenic and antiparasitic activity. It was also under development for the treatment of familial adenomatous polyposis.
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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