Orca-Q is under clinical development by Orca Biosystems and currently in Phase II for Chronic Myelocytic Leukemia (CML, Chronic Myeloid Leukemia). According to GlobalData, Phase II drugs for Chronic Myelocytic Leukemia (CML, Chronic Myeloid Leukemia) have a 22% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Orca-Q’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.

Orca-Q overview

Orca-Q is under development for the treatment of acute myeloid, lymphoid or mixed phenotype leukemia, myelodysplastic syndromes, myelofibrosis, and chronic myeloid leukemia (CML) who were matched to haploidentical allogeneic donors, defined as matched across at least 4/8 but fewer than 7/8 human leukocyte antigen (HLA) loci, hematopoietic stem cell transplantation. The drug candidate comprises of allogenic, fully controlled cell product candidate that contains a next-generation formulation of T cells. It is developed based on OrcaSort technology.

Orca Biosystems overview

Orca Biosystems (Orca Bio) is a clinical-stage biotechnology company developing a pipeline of high precision allogeneic cell therapy products that are designed to safely replace patients’ diseased blood and immune system with a healthy one. The company is headquartered in Menlo Park, California, the US.

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

This content was updated on 22 April 2024

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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.