SQ-3370 is under clinical development by Shasqi and currently in Phase II for Head And Neck Squamous Cell Carcinoma (HNSC). According to GlobalData, Phase II drugs for Head And Neck Squamous Cell Carcinoma (HNSC) have a 26% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how SQ-3370’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.

SQ-3370 overview

SQ-3370 is under development for the treatment of solid tumors, pediatric sarcomas, advanced soft tissue sarcoma, relapsed or recurrent squamous-cell head and neck cancer. The drug candidate comprise of two components SQL-70, a hyaluronic acid-based biomaterial and SQP-33, a prodrug of doxorubicin. SQP-33 is administered through intravenous route and SQL-70 is administered through intratumoral route. It acts by targeting DNA topoisomerase II and DNA. It is developed based on Click Activated Protodrugs Against Cancer (CAPAC) platform technology.
It was under development for platinum refractory ovarian cancer recurrent and/or metastatic uterine carcinoma, fallopian tube cancer, peritoneal cancer or uterine sarcoma.

Shasqi overview

Shasqi is developing drugs for the treatment of cancer. The company is headquartered in San Francisco, California, the US.

For a complete picture of SQ-3370’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 12 April 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.