NiKogene is under clinical development by Kian Immune Cell and currently in Phase I for Pediatric Diffuse Intrinsic Pontine Glioma. According to GlobalData, Phase I drugs for Pediatric Diffuse Intrinsic Pontine Glioma 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 NiKogene LoA Report. 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.
NiKogene overview
The therapeutic candidate is under development for the treatment of relapsed and refractory diffuse intrinsic pontine glioma (DIPG). It comprises of allogenic Natural Killer (NK) cells and is administered through intrathecal route.
Kian Immune Cell overview
Kian Immune Cell is a biotechnology company that generates immune cells from different type of stem cells and provides treatment to patients with oncology related diseases. The company is headquartered in Tehran, Iran.
For a complete picture of NiKogene’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.
