Abstract
The project brings together expertise in tumour biomarkers, proteomics and mathematics. It will devise novel approaches to analyse data from pre-diagnosis serum measurements of multiple proteins in several cancer types. The major aim is the generation of improved biomarker models for early detection. This will be achieved by applying novel network analysis approaches to new and existing datasets that consider all measurements and longitudinal modelling of serial data. Further work will validate the biomarker models. The project will also explore interactions of serum analytes from a systems biology perspective, assessing the role of multiple protein changes during cancer progression.
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