Simurosertib is under clinical development by Millennium Pharmaceuticals and currently in Phase I for Rectal Cancer. According to GlobalData, Phase I drugs for Rectal Cancer does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Simurosertib LoA Report. 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.

Simurosertib overview

TAK-931 is under development for the treatment of advanced non-hematologic solid tumors like ovarian cancer, metastatic colorectal cancer, uterine cancer, squamous esophageal cancer, rectal adenocarcinoma, metastatic pancreatic adenocarcinoma, squamous non-small cell lung cancer and squamous esophageal cancer. The drug candidate is administered through oral route as a capsule. It acts by targeting cell division cycle 7 (CDC7) protein kinase. The drug candidate is a selective Thieno [3,2-d] pyrimidinone with a quinuclidine moiety.

Millennium Pharmaceuticals overview

Millennium Pharmaceuticals (Takeda Oncology), a subsidiary of Takeda Pharmaceutical Co Ltd, is a biopharmaceutical company that offers cancer therapy for the treatment of patients with multiple myeloma and relapsed mantle cell lymphoma. Takeda Oncology is headquartered in Cambridge, Massachusetts, the US.

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

This content was updated on 2 September 2023

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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.