LM-24C5 is under clinical development by LaNova Medicines and currently in Phase II for Solid Tumor. According to GlobalData, Phase II drugs for Solid Tumor have a 38% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how LM-24C5’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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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.
LM-24C5 overview
LaNova Medicines overview
LaNova Medicines (Lanova) is a clinical-stage biotechnology company that discovers and develops antibody-based cancer treatments. The company’s antibody-drug conjugates (ADCs) products pipeline includes LM-302, LM-305, LM-001, LM-002, LM-003, LM-004, LM-005, LM-006, and LM-007. It also develops monoclonal antibodies (mAbs) such as LM-108 and LM-101. Lanova products are used in treating solid tumors, gastrointestinal cancer, multiple myeloma, and hematologic malignancies. The company develops a wide range of tumor-associated antigens (TAA) and immuno-oncology (IO) targets by leveraging its proprietary targeted antibody discovery platform (LX-TAb), next-gen ADC platform (LX-ADC) and immune cell engager platform (LX-TDuo). It works in collaboration with Akesobio, AstraZeneca, Bristol Myers Squibb, Cellular Biomedicine Group (CBMG), and Topalliance Biosciences for clinical development and commercialization. Lanova is headquartered in Shanghai, China.
For a complete picture of LM-24C5’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.
