BDTX-4933 by Black Diamond Therapeutics for Central Nervous System (CNS) Tumor: Likelihood of Approval

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.

BDTX-4933 overview

BDTX-4933 is under development for the treatment of multiple metastatic solid tumors including central nervous system (CNS) tumor, melanoma, non-small cell lung cancer, thyroid cancer and colorectal cancer. The drug candidates are developed based on MAP (mutation, allostery and pharmacology) platform. They are administered orally and acts by targeting a family of Class I (V600E), II, and III canonical and non-canonical serine/threonine protein kinase B-Raf (BRAF) alterations while avoiding paradoxical activation.

Black Diamond Therapeutics overview

Black Diamond Therapeutics (Black Diamond) is a precision oncology medicine company. It discovers small molecules and tumor agnostic therapies for the treatment of cancer. The company’s pipeline product candidates include BDTX- 4933 is designed to be a brain penetrant and highly selective and potent inhibitor of oncogenic BRAF Class I, II, III and active RAF dimers promoted by upstream oncogenic alterations; and BDTX-1535, a brain-penetrant small-molecule inhibitor for the treatment of glioblastoma, affecting the brain or spine. It is also developing its Mutation-Allostery-Pharmacology (MAP) technology platform, to identify oncogenic mutations that promote cancer. Black Diamond is headquartered in Cambridge, Massachusetts, the US.

For a complete picture of BDTX-4933’s drug-specific PTSR and LoA scores, buy the report here.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.