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The collective force of cancer research, outreach and care across the city of Oxford, translating discoveries into better care for cancer patients.
Polygenic risk scores
Challenge: Developing novel diagnostic strategies
Choosing the right diagnostic test to improve the patient experience
Challenge: Developing novel diagnostic strategies
Development of multi-cancer tests and studying early cancer biology
Challenge: Developing novel diagnostic strategies
Early intervention trials
Challenge: Predicting progression
Universal consent at the Oxford University Hospitals (OUH) Translational Gastroenterology Unit
Challenge: Predicting progression
Factors determining ovarian cancer risk
Challenge: Assessing cancer risk
Assessing risk of cancer using GP patient records
Challenge: Assessing cancer risk
Activation of tumour infiltrating B cells
Challenge: Inducing tumour-specific immunity and preventing escape
Determination of the relative importance of T-cell intrinsic and extrinsic factors in immune escape
Challenge: Inducing tumour-specific immunity and preventing escape
Identification of cancer epitope targets
Challenge: Inducing tumour-specific immunity and preventing escape
Reducing systemic dose whilst enhancing efficacy
Challenge: Minimising immuno-oncology toxicity
Determining the molecular basis for the relationship between IT efficacy and toxicity
Challenge: Minimising immuno-oncology toxicity
Comprehensive characterisation of shared immune mechanisms in organ-specific checkpoint induced and spontaneous autoinflammation
Challenge: Minimising immuno-oncology toxicity
Optimising TIME for radiotherapy response
Challenge: Expanding the immuno-oncology footprint
Remodelling the tissue immune microenvironment (TIME) during tumour development
Challenge: Expanding the immuno-oncology footprint
Understanding prostate cancer progression
Challenge: Applying computer vision to medical imaging
Developing intelligent image-based predictors of GI & lung cancer risk
Challenge: Applying computer vision to medical imaging
Application of topological data analysis to clinical trials
Challenge: Making the integration of computational biology in cancer research routine
The Million Women Study
Challenge: Making the most of health data