RMC-9805 is under clinical development by Revolution Medicines and currently in Phase I for Pancreatic Ductal Adenocarcinoma. According to GlobalData, Phase I drugs for Pancreatic Ductal Adenocarcinoma does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the RMC-9805 LoA Report. Buy the report here.
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GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.
RMC-9805 overview
RMC-9805 is under development for the treatment of solid tumor, pancreatic ductal adenocarcinoma, non-small cell lung cancer and colorectal cancer. It is administered through oral route. The drug candidate acts by targeting KRAS G12D mutation. The drug candidate is being developed based on tri-complex technology.
Revolution Medicines overview
Revolution Medicines is a clinical-stage precision oncology company that develops novel targeted therapies for RAS-addicted cancers. The company’s pipeline products include RMC-6236 an investigational, oral, RAS(ON) multi-selective non-covalent inhibitor designed to treat pancreatic ductal adenocarcinoma (PDAC), non-small cell lung cancer (NSCLC) and other solid tumors; and RMC-6291 and is an investigational, oral, RAS (ON) G12C and G12D selective covalent inhibitors that target solid tumors and non-small cell lung cancer. Its preclinical RAS(ON) mutant-selective inhibitors and RAS companion inhibitors comprise RMC-5127, RMC-0708, RMC-8839, RMC-4630 and RMC-5552. The company operates through its subsidiaries in the US and the UK. Revolution Medicines is headquartered in Redwood City, California, the US.
For a complete picture of RMC-9805’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.
