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

Shattuck Labs (Shattuck) is a biotechnology company that develops bi-functional fusion proteins for the treatment of cancer and autoimmune disease. The company develops products using its proprietary agonist redirected checkpoint (ARC) platform and gamma delta T Cell engager (GADLEN) platform. Shattuck’s lead products include, SL-172154 (SIRPa-Fc-CD40L) developed for the treatment of ovarian cancer, cutaneous squamous-cell carcinoma (cSCC) and head and neck squamous cell carcinoma (HNSCC) and SL-279252 (PD1-Fc-OX40L) for advanced solid tumors and lymphoma. The company is also evaluating drugs targeting oncology, advanced solid tumors and autoimmune diseases. It operates a research and development office in Durham, North Carolina. Shattuck is headquartered in Austin, Texas, the United States.

For a complete picture of SL-172154’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 2 September 2023

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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 Pharmaceutical Intelligence Center.