EBTATE is under clinical development by Molecular Targeting Technologies and currently in Phase I for Neuroendocrine Tumors. According to GlobalData, Phase I drugs for Neuroendocrine Tumors have a 74% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how EBTATE’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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EBTATE overview
177-Lu-DOTA-EB-TATE is under development for the treatment of neuroendocrine tumors, metastatic gastroenteropancreatic neuroendocrine tumors (GEP-NETs), Hurthle cell thyroid cancer, hematological tumor and nasopharyngeal cancer. 177Lu-DOTA-TATE is administered as an intravenous infusion. The drug candidate is a radioconjugate consisting of somatostatin analog octreotide conjugated to radioisotope 177 lutetium via the chelator 1,4,7,10- tetraazacyclododecane-N,N’,N”, N”’-tetraacetic acid (DOTA). The drug candidate acts by targeting Somatostatin Receptor Type 2.
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Molecular Targeting Technologies overview
Molecular Targeting Technologies (MTTI) is a biotechnology company that develops novel technologies for the treatment and diagnosis of human diseases. The company offers therapeutic and diagnostic pipelines including rabies mab, BPRDP056, EBTATE, EBRGD, exoblock, tdura, 18f-fluoro glucaric acid, 99m tc-glucarate, psvue-eye drop and cyph-11. MTTI pipeline indications include rabies, multiple cancers, neuroendocrine tumors, hurthle cell thyroid cancer, nasopharyngeal cancer, glioblastoma multiforme, non-small cell lung cancer, advanced melanoma immunotherapy, miscellaneous cancers, cardiac trauma, ocular diseases and ovarian cancer. MTTI is headquartered in West Chester, Pennsylvania, the US.
For a complete picture of EBTATE’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.
