Likelihood of Approval and Phase Transition Success Rate Model – Bemarituzumab in Cervical 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.


Bemarituzumab in Cervical Cancer Drug Details:
Bemarituzumab [FPA-144] is under development for the treatment of solid tumors such as gastric cancer, gastroesophageal cancer, transitional cell carcinoma, lymphoma, head and neck squamous cell carcinoma, lung adenocarcinoma, fallopian tube cancer, peritoneal cancer, esophageal squamous cell carcinoma, triple-negative breast cancer, pancreatic ductal adenocarcinoma, intrahepatic cholangiocarcinoma, colorectal adenocarcinoma, ovarian epithelial cell carcinoma, endometrial adenocarcinoma and cervical carcinoma. The drug candidate is administered through intravenous route. It is a humanized monoclonal antibody directed against a splice form of fibroblast growth factor receptor 2 (FGFR2). It is a targeted immunotherapy for FGFR2b-overexpressing tumors and designed to recruit tumor-killing NK cells into the tumor microenvironment. The drug candidate is developed based on Potelligent CHOK1SV technology. Potelligent CHOK1SV, combines the advantages of GS Gene Expression System with the glyco-engineered technology.It was also under development for the treatment of breast cancer, bladder cancer and squamous non-small cell lung cancer.
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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