Structural Variants in Human and Canine Cancer datasets

Ongoing
Data
Asset 15.png

CBTN Data Used

About this

Project

The comparative genomics of spontaneous tumors across species provides a unique advantage to identify variants in shared and evolutionarily constrained regions in cancer genome that are occurred by selecting cells that carry favorable mutations in somatic evolution of cancers. Our group has been studying canine cancer genomics and developing resources for the comparative cancer research. Dogs with spontaneous cancers have been considered as useful preclinical models to develop treatment strategies for human cancers. Additionally, the comparative genomic analyses have identified that canine cancers included various somatic gene mutations that are conserved in human counterparts. Consequently, increasing efforts in the comparative analysis of sequencing data across species provided novel findings and led to utilization of canine cancers as models. For example, recently, similarities and differences between human and canine gliomas through genomic profiling were reported conserved somatic drivers, mutational processes, and temporal ordering of somatic glioma events across species. Therefore, there are several active translational canine trial efforts involving some specific tumor types supported by the National Cancer Institute Cancer Moonshot project and other initiatives facilitating collection efforts and subsequent integration with clinical testing.

Ask The

Scientists

Ask the scientists

What are the goals of this project?

By leveraging our expertise in analyzing structural variants (SV), we will investigate SVs in human and canine cancer datasets, including sequencing data. Furthermore, we will combine our dataset, including Pacbio long-read sequencing and Illumina short-read sequencing data of canine glioma and osteosarcoma, to discover the critical gene variants in both species.

Specimen Data

The Children's Brain Tumor Network contributed to this project by providing access to the Pediatric Brain Tumor Atlas

Explore the data in these informatics portals

Cavativa-Logo.png
kidsfirstdrc_logo.png