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 Shasqi’s local activation 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 a clinical stage biotechnology company which works to enable patients to beat cancer without poisoning their bodies. The company’s CAPAC Platform is modular and can be applied to a broad range of drugs that are otherwise limited by toxicity. Shasqi 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 2 September 2023

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

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.