Likelihood of Approval and Phase Transition Success Rate Model – Surufatinib in Epithelial Ovarian 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.


Surufatinib in Epithelial Ovarian Cancer Drug Details:
Surufatinib (Sulanda) is a potential antineoplastic and anti-angiogenic agent. It is formulated as capsules for oral route of administration. Sulanda is indicated for the treatment of non-pancreatic neuroendocrine tumors (“NETs”). Surufatinib is under development for the treatment of neuroendocrine tumors, solid tumors, primary peritoneal cancer, osteosarcoma, Ewing sarcoma, rhabdomyosarcoma, lymphoma, non-rhabdomyosarcoma soft tissue sarcoma, neuroendocrine tumors of pancreatic and non-pancreatic (Neuroendocrine Gastroenteropancreatic Tumors (GEP-NET)), thyroid and gallbladder cancer, non-small cell lung cancer, extrahepatic cholangiocarcinoma, medullary thyroid cancer, metastatic biliary tract carcinoma including extrahepatic cholangiocarcinoma (EHCC), endometrial cancer, colorectal cancer, neuroendocrine carcinoma, adenocarcinoma of the gastroesophageal junction, soft tissue sarcoma, small-cell lung cancer, gastric cancer, esophageal squamous cell carcinoma, intrahepatic cholangiocarcinoma (IHCC) or gallbladder biliary carcinoma (GBC), epithelial ovarian cancer, metastatic pancreatic cancer, fallopian tube cancer and ovarian clear cell carcinoma . It is administered orally.
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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