Precision Oncology Using Advanced Biomarkers to Expand Predictive Models with Kat Kwiatkowski Strata Oncology

Kat Kwiatkowski, the Senior VP of Clinical Development at Strata Oncology, has tested over 60,000 patients and used their clinical outcome data to build advanced multivariate biomarkers to better predict patient response to approved cancer treatments. Using molecular profiling data, Strata has created an immunotherapy response score leveraging DNA components and the immune gene expression components to better capture the variability and response to PD-L1 therapies. Kat explains, "People with the same cancer, meaning if they have breast or lung cancer, can have different forms of the disease. So responses to treatment can and do vary. Prior to 2012, the most popular treatment option for patients with advanced cancer was chemotherapy, which is extremely toxic. And due to rapid advancements in molecular and biotechnology, we're now able to do a few things better." "One, we're better at identifying cancers earlier, when our chances for cures are the highest. Second, we're better at characterizing the tumors, to understand what makes them vulnerable. Three, with that information, we can then build drugs to target those specific vulnerabilities. And finally, we can now also better comprehend the interaction between drug and patient, to understand which types of patients at the molecular level will respond to or have increased side effects. This personalization really provides us with an extraordinary opportunity to improve patient outcomes."  #StrataOncology #ImmunoOncology #PrecisionOncology #MolecularProfiling #RealWorldData strataoncology.com Download the transcript here