MB-105 is under clinical development by March Biosciences and currently in Phase I for Angioimmunoblastic T-Cell Lymphoma (AITL)/Immunoblastic Lymphadenopathy. According to GlobalData, Phase I drugs for Angioimmunoblastic T-Cell Lymphoma (AITL)/Immunoblastic Lymphadenopathy does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the MB-105 LoA Report. 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.
MB-105 overview
MB-105 is under development for the treatment of T cell-acute lymphoblastic lymphoma, T-non-Hodgkin lymphoma, T-cell acute lymphoblastic leukemia (T-ALL) including angioimmunoblastic T-cell lymphoma (AITL), enteropathy-associated T-cell lymphoma (EATL), Monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL), Peripheral T-cell lymphoma (PTCL) NOS, Anaplastic large cell lymphoma (ALCL), Adult T-cell leukemia/lymphoma, T cell prolymphocytic leukemia with symptomatic disease, extranodal NK/T cell lymphoma, Mycosis fungoides/ sezary syndrome, chronic lymphocytic leukemia (CLL) and mantle cell lymphoma. The therapy comprises of T cells genetically modified by lentiviral transduction to express a chimeric antigen receptor (CAR) targeting the antigen CD5. It is administered by intravenous route as an infusion.
March Biosciences overview
March Biosciences is a cell therapy company that develops CAR-T cell drugs for cancer immunotherapy and to transform patient care in the hematological malignancies. The company is headquartered in Houston, Texas, the US.
For a complete picture of MB-105’s drug-specific PTSR and LoA scores, buy the report here.
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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.
