NPX-267 is under clinical development by NextPoint Therapeutics and currently in Phase I for Endometrial Cancer. According to GlobalData, Phase I drugs for Endometrial Cancer have an 81% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NPX-267’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.

NPX-267 overview

NPX-267 is under development for the treatment of non-small cell lung carcinoma (NSCLC), renal cell carcinoma (RCC), colorectal carcinoma (CRC), cholangiocarcinoma (CCA), pancreatic ductal adenocarcinoma (PDAC), urothelial carcinoma (UCC), gastric or gastroesophageal carcinoma, triple-negative breast carcinoma (TNBC), endometrial carcinoma, cervical cancer, osteosarcoma, and prostate cancer. The drug candidate acts by targeting killer cell immunoglobulin like receptor 3DL3 (KIR3DL3) and is administered through intravenous route.

NextPoint Therapeutics overview

NextPoint Therapeutics is a clinical-stage biotechnology company engaged in developing precision oncology therapeutics for the treatment of cancer diseases. The company is headquartered in Cambridge, Massachusetts, the US.

For a complete picture of NPX-267’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 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.