Our research is bridging the gap between pediatric neurosurgeons, pediatric oncologists, physicists, mathematicians, radiologists, pathologists, biochemists and many others within Dayton Children’s and the Neuroscience Institute. We combine artificial intelligence, clinical, biologic, and genetic data, and an unprecedented level of advanced image analysis in efforts to understand and develop treatments for tumors.
The Gala of Hope Foundation donated $198,870 in grant funding to Dayton Children’s Hospital in 2016, providing for the first step in launching the Living Biobank at Dayton Children’s, the region's first tissue bank. The Gala of Hope Foundation presented the funding to the Dayton Children's neurology department with the goal to perpetuate their mission to "change the face of cancer in the Dayton region."
For our initial work we also obtained external funding from the John French Estate, Hartzell Norris Charitable Trust, Neils and Ruth Lundgard Foundation, and the Ohio Space Grant Consortium, along with internal funding from the Boonshoft School of Medicine Medical Student Research Grant program and Wright State University Honors Program Research Scholarship. This funding has so far resulted in two presentations at national meetings, in which we have described differential responses to hypoxia among individual DIPG tumors, and regulation of tumor growth by hypoxia-inducible factors. We obtained additional external funding from the Mayfield Education and Research Foundation (MERF) Spark Grant, supporting a project evaluating the role of repressed tumor suppressor genes in DIPG resistance to epigenetic modifying therapies.
Our biobank has resulted in significant international partnerships. Dayton Children’s is one of only 16 satellite members of the Children’s Brain Tumor Tissue Consortium with Children’s Hospital of Philadelphia. We are a contributor to the International Pediatric Brain Tumor Atlas, and share specimens with tumor researchers at Washington University. In addition to the expansion of our global partnerships, the Biobank has resulted in imaging partnerships with Stanford and Indiana University researchers in order to link specimens to imaging with machine learning.