Multi-Omics in Childhood Cancer

THEME 1: Identifying predictive molecular signatures for key outcomes in hard-to-treat paediatric cancers.

This research focuses on identifying molecular signatures that can predict important outcomes in hard-to-treat paediatric cancers, such as relapse, metastasis and overall survival. The ultimate goal is to use these signatures to improve prognosis and tailor treatments for better efficacy by developing more targeted therapies that address the unique challenges of these cancers.

THEME 2: Incorporating mass spectrometry-based proteomics into precision medicine.

By seeking to integrate mass spectrometry-based proteomics into current precision medicine initiatives, this theme seeks to enhance the accuracy of disease characterisation and treatment personalisation by examining the protein content of an individual’s cancer. This approach allows for a deeper understanding of the proteomic landscape, leading to more precise and effective interventions that target a patient’s protein profile.

THEME 3: Understanding the relationship between genomic and transcriptomic features at the protein level.

This theme explores the relationship between genomic and transcriptomic features at the protein level, providing insights into how genetic information translates into functional proteins and impacts disease mechanisms. By bridging these molecular layers, we can uncover novel biomarkers and therapeutic targets and identify which data layers can most accurately distinguish certain molecular features.