NPX-887 is under clinical development by NextPoint Therapeutics and currently in Phase I for Small-Cell Lung Cancer. According to GlobalData, Phase I drugs for Small-Cell Lung Cancer have an 81% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NPX-887’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
Smarter leaders trust GlobalData
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.
NPX-887 overview
NPX-887 is under development for the treatment of solid tumors including non-small cell lung carcinoma (NSCLC), small cell lung carcinoma (SCLC), renal cell carcinoma (RCC), colorectal carcinoma (CRC). It is a monoclonal antibody which acts by targeting killer cell immunoglobulin-like receptor 3DL3 (KIR3DL3) and is being developed based on CHO.RiGHT platform and DirectedLuck transposase and platform.
NextPoint Therapeutics overview
NextPoint Therapeutics is a drug development company. NextPoint Therapeutics is headquartered in Cambridge, Massachusetts, the US.
For a complete picture of NPX-887’s drug-specific PTSR and LoA scores, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.
