Quantitative Oncology

Quantitative Oncology

Understanding tumor behavior to improve outcomes for cancer patients

Quantitative Oncology is a multi-disciplinary research program developing advanced measurement capabilities and computational techniques to improve outcomes for patients with cancer. We are seeking a quantitative understanding of the behavior of cancerous cells and tissues as they evolve, respond to therapy, and interact with their microenvironments.

Research Themes

Research is organized around three themes: 

1. Imaging

Investigators in this theme develop and employ new imaging tools to analyze components of tumors on scales that range from angstroms to centimeters.

2. Omics

Investigators in this theme use genome, proteome, transcriptome, and other 'omic analyses of tumors to gain insights into pathogenesis, response, or resistance to therapies. It also includes investigators who are developing improved tools and algorithms to speed, enhance, or standardize 'omic analyses of tumors and develop signatures that predict prognosis or response to therapies.

3. Systems Biology

This theme comprises investigators who obtain, integrate and analyze complex data sets from multiple experimental sources to elucidate the properties of cancer-related molecular networks, the molecular and cellular phenotypes they regulate and the evolution/adaptation of these systems during cancer progression and treatment.  

The program uses the following mechanisms to stimulate and support collaborative and innovative research:

  • Recruitment of multidisciplinary faculty members with expertise in genomics, multiscale imaging, chemistry, computational biology and biophysics
  • Acquisition of state of the art measurement and computational capabilities and development of workflows needed for effective use
  • Organization of discipline specific and multidisciplinary symposia, retreats, seminars and educational workshops
  • Development of a Quantitative Bioscience and Biomedical Engineering graduate curriculum
  • Support of pilot projects to advance technologies needed by QO faculty and to build intra-programmatic, multidisciplinary collaborations
  • Development of private sector collaborations that provide access to state of the art technologies, reagents and methodologies and commercialization opportunities

Program Leaders