Likelihood of Approval and Phase Transition Success Rate Model – Trametinib Dimethyl Sulfoxide in Relapsed Multiple Myeloma
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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.
Trametinib Dimethyl Sulfoxide in Relapsed Multiple Myeloma Drug Details:
Trametinib (GSK1120212, Mekinist) is an anti-cancer agent. It is formulated as tablets, film coated tablets, coated tablets, powder for solution for oral route of administration. Trametinib is indicated as a single agent or in combination with dabrafenib for the treatment of patients with unresectable or metastatic melanoma with BRAF V600E or V600K mutations as detected by a FDA-approved test. The use in combination is based on the demonstration of durable response rate. Improvement in disease-related symptoms or overall survival has not been demonstrated for Mekinist in combination with dabrafenib. Mekinist in combination with dabrafenib, for the treatment of patients with metastatic non-small cell lung cancer (NSCLC) with BRAF V600E mutation as detected by a FDA-approved test.Trametinib is under development for the treatment of cholangiocarcinoma, metastatic biliary tract carcinoma, differentiated thyroid cancer (DTC), gallbladder cancer, lung adenocarcinoma, cetuximab-refractory colorectal cancer in combination with panitumumab, metastatic pancreatic cancer, plexiform neurofibroma, Langerhans cell histocytosis, arterio-venous malformations, anaplastic thyroid cancer, ampulla of Vater cancer). refractory and relapsed Multiple Myeloma, triple-negative breast cancer, endometrial cancer in combination with uprosertibm. It is under development for low grade glioma. It is also underdevelopment for the treatment of solid tumors, which may include but are not limited to rhabdomyosarcoma and other soft tissue sarcomas, Ewing sarcoma family of tumors, osteosarcoma, neuroblastoma, Wilms’ tumor, hepatic tumors, germ cell tumors, primary brain tumors, NF-1 associated PF and LCH.It was under development for the treatment of lymphoma and metastatic uveal melanoma, relapsed or refractory leukemia including acute myeloblastic leukemia, myelodysplastic syndrome, advanced or metastatic biliary tract cancer (cholangiocarcinoma, gallbladder cancer, chronic myelomonocytic leukemia, acute lymphocytic leukemia, chronic lymphocytic leukemia, chronic myelogenous leukemia ,glioma and metastatic transitional (urothelial) tract cancer and Trametinib in combination with dabrafenib is indicated for the treatment of adult patients with advanced non-small cell lung cancer with a BRAF V600 mutation, and it was also under development for the treatment of colorectal cancer, bladder cancer, pancreatic cancer, non-small cell lung cancer, ovarian cancer, head and neck cancer squamous cell carcinoma in combination with uprosertib. Afuresertib in combination with trametinib was under development for the treatment of prostate cancer, renal cell carcinoma, gastric cancer and hepatocellular 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
This is an on-demand report that will be delivered upon request. The report will be delivered within 2 business days of the purchase, excluding weekends and holidays. Certain sections of the report may be removed or altered based on data availability and relevance.
Frequently asked questions
- Drugs which have been approved in the past 10 years
- Drugs which have failed during clinical development in the past 18 years
- Drugs which are currently in development
- Phase I, Phase II, Phase III, and Pre-Registration development stage
- Drugs must meet one of the following criteria to be included in the model:
- The developer has specified the US as an intended market for approval.
- The developer has not specified any country as an intended market for approval, i.e. the “Drug Geography” is listed as “Global”
- Innovator drugs and biosimilars
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The probability of a drug ultimately receiving market authorization
The probability of a drug’s advancement to the next stage of clinical development
GlobalData’s Drug-Specific Likelihood of Approval (LoA) calculates the Phase Transition Success Rate (PTSR) and Likelihood of Approval (LoA) customized to individual drug. The model uses a combination of Machine Learning (ML) and a GlobalData proprietary algorithm to process data points from the Drugs, Clinical Trials, Regulatory Milestones, Company, and Financial databases.
Inclusion
Data Scope:
Drug Phase Scope:
Drug Geography Scope:
Drug Type Scope:
Entity Type Scope:
Only drugs in development by companies are included in the model.
Exclusion
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