GBM is considered to be universally fatal, but 5% of patients diagnosed with this disease do survive more than 5 years . Prognostic markers exist but originate from incomplete or static sources and are just pieces of a larger puzzle [2-13]. Current approaches are akin to trying to understand the germination of a seed by looking at its genetic profile but ignoring the impact of the surrounding environment. A more comprehensive approach is needed to understand such complex and integrated systems. To uncover the drivers of extreme survivors (ES) in treatment response and disease progression, we must understand cancer dynamics, the tumor microenvironment, interactions with the rest of the body and the role of the external environment. This project focuses on making dynamic inferences by integrating multiple types of data and creating patient-specific models of tumor growth informed by radiographic and histological analyses. There are clear challenges to this approach since inherited traits and anatomy may create a favorable (or unfavorable) environment for the tumor dynamics to play out. Many unique puzzle pieces must be assembled to create the full picture of extreme survivorship. Novel data collection and methods to assimilate information are needed for this project to succeed. To this end, we have brought together the resources of 4 major brain tumor centers and 1 major regional multi-institutional study of gliomas that are perfectly positioned to gather, synthesize and disseminate data regarding extreme GBM survivors. Each institution brings a complementary set of skills, experience and resources to the investigation encompassing imaging, histology, genetics, and patient-reported lifestyle factors to create a large cohort of GBM patients. Thus, we are strategically poised for identifying this complex landscape of factors driving ESs.
|Effective start/end date||9/1/14 → 6/30/15|
- James S. McDonnell Foundation (JSMF-220020400)
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