JTE-162 is under clinical development by Japan Tobacco and currently in Phase I for Autoimmune Disorders. According to GlobalData, Phase I drugs for Autoimmune Disorders have a 74% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how JTE-162’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.

JTE-162 overview

JTE-162 is under development for the treatment of autoinflammatory disease and autoimmune disease. The therapeutic candidate acts by targeting NACHT LRR And PYD Domains Containing Protein 3 (NLRP3) and is administered through oral route.

Japan Tobacco overview

Japan Tobacco (JT Group) is a manufacturer of cigarettes. The company also manufactures, markets, and sells varied pharmaceutical and processed food products such as frozen cooked rice and noodles, instant noodles, bread, and frozen bread, packaged cooked rice, bakery goods, yeast extracts and seasoning, prescription drugs, and generic drugs. JT Group distributes its products through supermarkets, street and train station kiosks, convenience stores, small independent retailers, and vending machines. It caters to retail, industrial and commercial customers in Europe, Africa, the Middle East, Asia-Pacific, and the Americas, and other regions. JT Group is headquartered in Minato-Ku, Tokyo, Japan.

For a complete picture of JTE-162’s drug-specific PTSR and LoA scores, buy the report here.

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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.