We are a computational cancer biology lab with a research focus on the analysis of cancer genomics data to improve our understanding of cancer biology. We have a specialized research interest in understanding disease progression of brain tumors, particularly glioblastoma and glioma. We mostly use high throughput sequencing and computational analysis in our research.
The Glioma Longitudinal Analysis (GLASS) Consortium characterized diffuse glioma cells both before and after therapy to characterize how they change and why this form of malignant brain cancer is so difficult to treat. The findings provide a foundation for further research and the opportunity for the clinical community to predict the effectiveness of newly developed treatments.
New research is providing a better understanding of the processes underlying cell-to-cell differences within glioblastoma tumors — a crucial finding because these differences contribute to therapy resistance.
The role(s) that extra-chromosomal DNA (ecDNA) may play in cancer have been the subject of speculation, but details have been elusive. Now, a paper in Nature Genetics implicates ecDNA in a wide variety of cancers, and associates it with aggressive, difficult-to-treat cases.