Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

CORECT-R data are used to support research in three broad areas.

Supporting Earlier Diagnosis

A higher proportion of UK colorectal cancer patients die soon after diagnosis in comparison to similar European countries. This is largely due to patients presenting when their disease is more advanced and so less amenable to treatment. Ensuring earlier diagnosis presents great potential for improvements in patient outcomes so CORECT-R supports projects that will deliver the evidence needed to diagnose colorectal cancer earlier.  

Tackling Inequalities

There are both national and international inequalities in colorectal cancer with significant variation in the management of the disease and outcomes for patients. CORECT-R data are used to enable research that quantifies such inequalities.  These projects span:

Population inequalities in relation to age, socio-economic status, geography, ethnicity, co-morbidity and sex.

Variation in the use of existing treatment as well as the uptake of new ones.

Research to define the best treatment for the management of all stages of colorectal cancer.

Quantifying, and understanding what drives, international differences in care.

Research into the long-term consequences of colorectal cancer diagnosis and living with the disease. 

Optimising Cancer Research

CORECT-R contains data relevant to colorectal cancer aetiology, diagnosis, management and outcomes. To optimise the use of this data, the UK Colorectal Cancer Intelligence Hub supports other research projects and programmes to access the data they need.

This includes projects relating to:

Research into precision medicine.

Clinical Trials.

Research into the potential of big data.