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Roger Reddel

The University of Sydney
Sydney, NSW, Australia

CBTN Data

Backer

Grant from New South Wales Ministry of Health

Cancer Moonshot Proteogenomics Program Grant

About this

Project

Scientists at Children’s Medical Research Institute are analyzing tens of thousands of examples of all types of cancer from all over the world to develop a library of information to advance scientific discovery and enhance clinical treatment worldwide.

This database will mean doctors can effectively narrow down the best type of currently available treatment to target a cancer patient’s individual diagnosis, without having to waste time trialing medications that won’t effectively treat the disease. Working with leading cancer researchers throughout Australia and around the world, the Centre is analyzing samples of all types of cancer, starting with cancers of childhood.

Advanced data science and software engineering will be used to compare the protein data with the de-identified information that is already available for each cancer, including clinical records such as pathology test results, genetic analyses, genome sequencing, and any previous responses to cancer treatment. This proteogenomics approach to understanding cancer is crucial to speeding up the search for cures

Ask The

Scientists

Ask the scientists

What are the goals of this project?

Through a combination of protein-based and genetic research, researchers seek to learn how to better develop treatments and predict treatment outcomes for pediatric brain cancers.

What is the impact of this project?

The data set created through this project will be available for use by the entire scientific community, helping to predict treatment outcomes and guide the use of new therapies.

Why is the CBTN request important to this project?

The pediatric cancer cell lines provided by CBTN are well annotated, serving as an invaluable resource for the expansion of this project.

Specimen Data

The Children's Brain Tumor Network will contribute to this project by providing cell lines.

Explore the data in these informatics portals

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Meet The

Team