St. Baldrick's fellow

Osteosarcoma (OS) is the most common malignant bone tumor in children, but only five chemotherapy drugs have been shown to be beneficial, and overall survival remains poor (60%). There are no effective standard-of-care therapies for patients who relapse. Identifying new treatment strategies in OS is of paramount importance. Prior studies evaluating the genetic code of OS tumors show significant genetic heterogeneity among patients and have not uncovered recurrent changes that can be successfully targeted. Dr. Pavisic is using computational algorithms established by the Califano laboratory to identify universal tumor dependencies known as master regulator (MR) proteins from the messages expressed by the tumorÂ’s genetic code to make proteins (RNA). Using information from drug studies done in OS cells, she is prioritizing drugs by their ability to reverse the activity of a tumorÂ’s most aberrantly active MR proteins. MR proteins integrate the effects of many genetic alterations and are critical to tumor cell survival, thus represent novel tumor biomarkers and drug targets. Dr. Pavisic hypothesizes that MR analysis in OS will lead to biologically-relevant patient classification and risk stratification, and prioritize new drugs for immediate testing in laboratory models of OS and in clinical trials to improve outcomes for children with OS.