Genomics

A major focus of our genomics research is in prostate cancer, specifically the development of genetic models to predict the age of onset of aggressive cancer in non-cancer patients.

Based on an analysis of over 31,000 men with prostate cancer in whom genetic information was available including over 200,000 single nucleotide polymorphisms, we developed a new polygenic hazard score that accurately identifies the age of onset of men with aggressive prostate cancer.

To learn more about our genomics research, check out the following faculty labs:

Radiomics

Our research group uses of high dimensional data and advanced modeling to develop predictive models of outcomes. A major focus of this work has been on normal tissue toxicity, particularly in patients undergoing combined chemoradiotherapy.

We were the first center to develop and routinely implement bone marrow sparing approaches in these patients and in a series of trials have demonstrated the benefits of this approach, in terms of reduced toxicity and potential improvement of chemotherapy delivery.

We have studied patients during chemoradiotherapy with serial PET and/or MR imaging and have correlated changes in bone marrow imaging with tolerance to chemotherapy. Current approaches are focusing on deep learning and artificial neural networks to predict tumor response and identify patients who benefit from more intensive treatment regimens. We are also exploring the development of algorithms to analyze cone-beam CT images to trigger automated re-planning.

To learn more about our radiomics research, check out the following faculty labs:

Metabolomics

An exciting area of research at our Center is in metabolomics including the interaction between radiation and tumor metabolism. Radiation causes the release of numerous metabolites including ATP that is converted into adenosine and modulates immune responses. We are currently testing novel adenosine receptor antagonist drugs with the goal of enhancing radiation-induced immune responses and improving tumor control.

To learn more about our metabolomics research, check out the following faculty labs: