ADPA-2AFP is under clinical development by Adaptimmune Therapeutics and currently in Phase I for Hepatocellular Carcinoma. According to GlobalData, Phase I drugs for Hepatocellular Carcinoma have an 81% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how ADPA-2AFP’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.

ADPA-2AFP overview

ADPA-2AFP is under development for the treatment of hepatocellular carcinoma. It is administered as an infusion. The therapy constitutes an autologous T cells engineered to express T cell receptors (TCR) targeting alpha-fetoprotein (AFP).

Adaptimmune Therapeutics overview

Adaptimmune Therapeutics (Adaptimmune), formerly Adaptimmune Therapeutics is a clinical stage bio pharmaceutical company that develops innovative T-cell therapy products for the treatment of cancer. It harnesses the proprietary SPEAR (Specific Peptide Enhanced Affinity Receptor) T-cell platform that engineers the T-cells to identify and exterminate cancer, including solid tumors. The company’s pipeline products include NY-ESO TCR for synovial sarcoma and multiple myeloma; MAGE A4 TCR for multiple solid tumors; AFP TCR for hepatocellular cancer; and MAGE-A10 TCR for bladder, melanoma, and head and neck cancer. The company has presence in the US and the UK. Adaptimmune is headquartered in Abingdon, Oxfordshire, the UK.

For a complete picture of ADPA-2AFP’s drug-specific PTSR and LoA scores, buy the report here.


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 its clinical pathway (PTSR), as well as how likely the drug will be approved (LoA). This is based on a proprietary algorithm built from the drugs’ sales forecast, regulatory milestones, cost forecasts, WACC rate and other proprietary data sources found on GlobalData’s Pharmaceutical Intelligence Center.