ADPA-2AFP is under clinical development by Adaptimmune Therapeutics and currently in Phase I for Neuroendocrine Tumors. According to GlobalData, Phase I drugs for Neuroendocrine Tumors have a 74% 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, neuroendocrine tumor, gastric carcinoma, cholangiocarcinoma, lung cancer, pancreatic cancer and malignant neoplasms. 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) is a clinical-stage biopharmaceutical company that develops innovative T-cell therapy products for the treatment of cancer. The company product pipeline includes afami cel, ADP-A2M4CD8 and ADP-A2AFP. It treats synovial sarcoma, head and neck, urothelial, esophageal, EGJ cancer and hepatocellular carcinoma. Adaptimmune has collaborated with Alpine Immune Sciences, Cell and Gene Therapy Catapult, Center for Cancer ImmunTherapy, Genentech and MD Anderson Cancer Center, among others. The company has operations across 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.
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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.
