Changes that occur in genes are called genetic alterations. Understanding the genetic interactions of pediatric brain cancers and how they are altered in the genomes of patients could lead to better diagnostics, therapies, and ongoing assessments. Researchers will use data from the Pediatric Brain Tumor Atlas to test genetic interactions in individual cancer types and broadly across all cancer types. This research will create a broad dataset that will be invaluable in the continued pursuit of new treatment techniques and therapies.
What are the goals of this project?
Researchers seek to develop and analyze a broad set of data on the genetic alterations of many types of pediatric brain tumors.
What is the impact of this project?
This research will study a broad set of pediatric brain cancers, contributing greatly to the body of genetic information necessary to develop new therapeutics.
Why is the CBTN request important to this project?
The Pediatric Brain Tumor Atlas contains specimens across all pediatric brain tumor types, contributing to the broad impact of this project.
The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas.
Patrick Kemmeren, PhD
The Kemmeren group uses bioinformatics and systems biology to understand the molecular mechanisms underlying genetic interactions in relation to cellular processes and childhood cancer types. We have developed a unique combination of expertise in bioinformatics, gene expression profiling and molecul
Princess Maxima Center for Pediatric Oncology
Josephine Daub, PhD
Cancer develops through the acquisition of multiple mutations, and it is assumed that genetic interactions between mutated genes play an important role in cancer onset and progression. One approach to find genetic interactions in cancer is to search for pairs of mutated genes in tumors that occur to
Stefan M. Pfister, MD
Our group aims to bridge the gap between generating genomic screening data as well as faithful models for preclinical drug testing, and exploiting these data for the sake of our patients.
Jinghui Zhang, PhD
My research interest has been in the development of highly accurate and sensitive computational methods for analyzing large-scale genomic data, especially in the area of detecting and analyzing genetic variations and somatic mutations. My group has developed computational tools for analyzing genet