SL-172154 is under clinical development by and currently in Phase I for Relapsed Acute Myeloid Leukemia. According to GlobalData, Phase I drugs for Relapsed Acute Myeloid Leukemia have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how SL-172154’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks.

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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.

SL-172154 overview

SL-172154 is under development for the treatment of advanced or metastatic ovarian cancer, epithelial ovarian cancer, primary peritoneal cancer, fallopian tube cancer, acute myeloid leukemia (AML) and higher-risk myelodysplastic syndromes (HR-MDS). The drug candidates are based on Agonist Redirected Checkpoints (ARC) technology. The drug candidate is a two-sided human fusion protein incorporating the ECDs of SIRPα and CD40L, adjoined by a central Fc domain termed as SIRPα-Fc-CD40L. It is administered through intravenous route.

It was under development for the treatment of recurrent head and neck cancer squamous cell carcinoma, cutaneous squamous cell carcinoma, skin cancer, colon cancer and hematological malignancies. 

Shattuck Labs overview

is a biotechnology company that develops novel therapeutics for the treatment of cancer and autoimmune diseases. The company’s lead product candidate is SL-172154, a compound currently in global clinical trials for the treatment of cancer. The company utilizes the ARC platform. products are primarily used in the medical field, specifically in the treatment of cancer and autoimmune diseases. is headquartered in Durham, North Carolina, US.

For a complete picture of SL-172154’s drug-specific PTSR and LoA scores,

This content was updated on 16 July 2024

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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 .