September 9, 2022 – Freenome, a privately held biotech company, today announced the launch of the Sanderson Study, the company’s latest study of its multiomics platform, in combination with real-world data to detect multiple cancers.
The study will encompass both traditional and real-world data to generate evidence of clinical validation for certain high- and elevated-risk populations while also refining the platform’s cancer classification and risk prediction models. In addition, the Sanderson Study will build the necessary infrastructure to bridge the gap between clinical research and day-to-day clinical impact.
Freenome is developing a tailored multi-cancer screening approach that assesses a patient’s individual risk and identifies cancer signals to provide patients with a clear path forward. Freenome uses a multiomics platform, combining tumor and non-tumor signals with machine learning to detect cancer in its earliest stages using a standard blood draw.
The Sanderson Study will enroll approximately 8,000 patients through Freenome’s clinical study partner network and numerous regional health systems across the United States. The study will focus on those cancers with significant unmet needs such as pancreatic and lung cancer.
Key collaborators include Oracle Cerner and its Learning Health Network (LHN), a group founded in 2020 of more than 90 diverse health systems across the U.S. that are working together to advance research and increase equitable access to clinical trials by contributing de-identified data to the LHN. In addition, Elligo Health Research will collaborate with LHN members using existing health data to identify and enroll patients significantly faster than traditional recruitment models.
Trial participation will help LHN members bring innovative cancer prevention testing to the communities they serve.