CIGB-230 is under clinical development by Center for Genetic Engineering and Biotechnology and currently in Phase II for Hepatitis C. According to GlobalData, Phase II drugs for Hepatitis C have a 24% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how CIGB-230’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.

CIGB-230 overview

CIGB-230 is under investigation for the treatment of hepatitis C virus infection. The vaccine candidate is administered through intramuscular injections. CIGB-230 is a mixture of a DNA plasmid expressing hepatitis C virus (HCV) structural antigens and a HCV recombinant capsid protein. The vaccine candidate elicits strong immune responses against hepatitis C virus (HCV) infection.

Center for Genetic Engineering and Biotechnology overview

Center for Genetic Engineering and Biotechnology (CIGB) is a biotechnology company that investigates, develops, produces and markets novel biotechnological applications, therapeutic and diagnostic biopharmaceutical products, for the biomedical, agricultural and industrial sectors. CIGB is headquartered in Cuba.

For a complete picture of CIGB-230’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 15 September 2023

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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.