NVL-330 is under clinical development by Nuvalent and currently in Phase I for Non-Small Cell Lung Cancer. According to GlobalData, Phase I drugs for Non-Small Cell Lung Cancer have an 80% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NVL-330’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.
NVL-330 overview
NVL-330 is under development for the treatment of non-small cell lung cancer. The drug candidate act by targeting HER2. It is administered by oral route in the form of tablet.
Nuvalent overview
Nuvalent is a clinical-stage biopharmaceutical company that develops innovative small molecules for cancer. The company’s pipeline products include zidesamtinib (NVL-520) a ROS1-selective inhibitor; NVL-655 a brain-penetrant anaplastic lymphoma kinase (ALK)-selective inhibitor; NVL-330, is a brain-penetrant human epidermal growth factor receptor 2 (HER2)-selective inhibitor. Its lead candidates treat solid tumors, non-small cell lung cancer (NSCLC) and brain metastases. The company works in collaboration with contract research organizations (CROs), medical institutions and contract manufacturing organizations (CMOs) to conduct and support preclinical studies and clinical trials. Nuvalent is headquartered in Cambridge, Massachusetts, the US.
For a complete picture of NVL-330’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.
