Likelihood of Approval and Phase Transition Success Rate Model – Epacadostat in Dedifferentiated Liposarcoma
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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.


Epacadostat in Dedifferentiated Liposarcoma Drug Details:
Epacadostat (INCB-24360) is under development for the treatment of non-small cell lung cancer, urothelial carcinoma, rectal cancer and recurrent glioblastoma multiforme, epstein-barr virus positive (EBV+) nasopharyngeal carcinoma, salivary gland cancer, liposarcoma or pleomorphic liposarcoma, undifferentiated pleomorphic sarcoma, dedifferentiated liposarcoma, leiomyosarcoma, angiosarcoma and epithelioid hemangioendothelioma (EHE). It is a small molecule administered orally as a tablet and targets indoleamine-2, 3-dioxygenase-1 (IDO1).It was under development for epithelial ovarian cancer, ocular melanoma, metastatic melanoma, primary peritoneal carcinoma, fallopian tube cancer, thymic carcinoma, metastatic renal cell carcinoma, oropharyngeal cancer, hypopharyngeal cancer, laryngeal cancer, metastatic urothelial cancer, recurrent head and neck cancer squamous cell carcinoma, ocular melanoma, colorectal cancer, ovarian cancer, diffuse large B-cell lymphoma, breast cancer, adenocarcinoma of endometrial cancer, B-cell Hodgkin, non-hodgkin lymphoma, pancreatic cancer, endometrial cancer, renal cell carcinoma, hepatocellular carcinoma and gastric cancer, myelodysplastic syndrome.
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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