MYJ-1633 is under clinical development by Immunisbio and currently in Phase II for Human Epidermal Growth Factor Receptor 2 Positive Breast Cancer (HER2+ Breast Cancer). According to GlobalData, Phase II drugs for Human Epidermal Growth Factor Receptor 2 Positive Breast Cancer (HER2+ Breast Cancer) have a 45% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how MYJ-1633’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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.
MYJ-1633 overview
MYJ-1633 is under development for the treatment of metastatic gastric cancer, colon cancer, colorectal cancer, triple negative breast cancer and metastatic HER-2 Positive breast cancer. The therapeutic candidate consists of ex vivo expanded activated autologous NK cells. It is administered through intravenous and intraperitoneal route.
It was also under development for the treatment of liver cancer.
For a complete picture of MYJ-1633’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.
