Cofactor Genomics: Personalized Medicine through Predictive Immune Modeling
Leveraging the power of RNA sequencing, the company has built a database of unique gene expression models for key immune cells known to play a role in immune-oncology. The company relies on the molecular and informatics pipelines they have built to generate and deploy these Health Expression Models (HEMs) that interpret complex biological data. The multifaceted nature of these models mitigates the chance that unavoidable molecular noise will result in missing signals that are important. And, the Health Expression Models developed by Cofactor have shown increased sensitivity and specificity in detecting cells in the tumor microenvironment of solid tumors, even while requiring less tumor material. However, this improvement in immune profiling alone does not ensure the mandatory advancement in the predictive power necessary to address the challenge of patient selection and precision medicine, and that is why Cofactor has developed a solution which employs Predictive Immune Modeling.
Cofactor Genomics strongly advocates the use of multidimensional biomarkers built using high-throughput technology like RNA sequencing
“We at Cofactor use an RNA-based approach to measure many biomolecules and cell types in one assay,” states Natalie. Using machine learning, this approach captures the full picture of the immune response at the tumor and combines these signals within the context of clinical data, into a robust, multidimensional biomarker.
Cofactor’s premier product, called ImmunoPrism, provides access to both the superior immune profiling and Predictive Immune Modeling technologies. It delivers improved biological insights for immune-oncology using Cofactor’s Health Expression models and generates RNA-based multidimensional biomarkers with some of the highest predictive accuracies that the industry has seen. ImmunoPrism is available as a clinical assay as well as a research kit for use in the thousands of labs profiling tumors.
With their unique Health Expression Models, standardization via CAP/CLIA certification, and leveraging powerful technologies like machine-learning, Cofactor has gained a distinctive edge that makes it stay ahead in the market place. The company was founded in 2008 by a team of scientists from Washington University who had spent a decade working on the Human Genome Project. Envisioning the future, they are continually expanding their commercial and data analysis teams by pooling in new talent in their San Francisco headquarters and St. Louis laboratory. Cofactor very recently wrapped up its ImmunoPrism grant program launched earlier this year, with many promising applications for new oncology indications and treatment questions.