Likelihood of Approval and Phase Transition Success Rate Model – Pamiparib in Glioblastoma Multiforme (GBM)
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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.


Pamiparib in Glioblastoma Multiforme (GBM) Drug Details:
Pamiparib (Baihuize) is an anti-neoplastic agent. It is formulated as capsules for oral route of administration. Baihuize is indicated for the treatment of patients with germline BRCA mutation-associated recurrent advanced ovarian, fallopian tube, or primary peritoneal cancer who have been treated with two or more lines of chemotherapy.Pamiparib (BGB-290) is under development for the treatment of advanced or metastatic adenocarcinoma of the stomach or gastro esophageal junction, relapsed or refractory solid tumors including recurrent glioblastoma multiforme (GBM), cervical cancer, bile duct cancer, peripheral nerve sheath cancer, ovarian cancer, endometrial cancer, triple negative breast cancer, metastatic HR positive and HER2 negative breast cancer, non-squamous non-small cell lung cancer, squamous non-small cell lung cancer, head and neck squamous cell carcinoma, esophageal cancer, leiomyosarcoma, undifferentiated pleomorphic sarcoma, dedifferentiated liposarcoma, myxofibrosarcoma, primary peritoneal cancer, fallopian cancer, metastatic castration-resistant prostate cancer (mCRPC), high-grade glioma, low-grade glioma, small-cell lung cancer and pancreatic cancer. The drug candidate is administered orally. It targets the enzymes poly (ADP-ribose) polymerase 1 and 2 (PARP-1 and PARP-2).It was also under development for gastric cancer and metastatic or unresectable renal cell carcinoma, colorectal cancer, transitional cell cancer (urothelial cell cancer), muscle invasive bladder cancer (MIBC), metastatic adenocarcinoma of the pancreas, cervical cancer, bile duct cancer (cholangiocarcinoma),endometrial cancer, ureter cancer, urethral cancer.It was also under development for acute myelocytic leukemia (AML, acute myeloblastic leukemia), myelodysplastic syndrome and myeloproliferative disorders.
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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