Vididencel is under clinical development by Mendus and currently in Phase II for Myelodysplastic Syndrome. According to GlobalData, Phase II drugs for Myelodysplastic Syndrome have a 30% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Vididencel’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.

Vididencel overview

vididencel is under development for the treatment of acute myeloid leukemia (AML), myelodysplastic syndrome, high-grade serous ovarian cancer, multiple myeloma and unspecified cancer. It is administered intradermally and formulated solution and is a dendritic cell vaccine. The drug is developed based on proprietary DCOne platform. The DCOne cell line is derived from a patient with acute myeloid leukemia (AML) and expresses multiple AML-specific antigens.

Mendus overview

Mendus develops novel, off-the-shelf, cell-based therapies for solid and blood-borne tumors. The company’s pipeline product include vididencel is for the treatment of acute myeloid leukemia and ovarian cancer; ilixadencel for soft tissue sarcomas; preclinical pipeline targets natural killer (NK) cell program. The company markets its products under the brand DCOne. It operates a research and development facility in Leiden, the Netherlands. The company works in partnership with academic research groups, pharmaceutical and biotech companies to develop and commercialize new therapeutics. Mendus is headquartered in Stockholm, Sweden.

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

This content was updated on 16 July 2024

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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.