|Title:||Development of user-friendly cancer risk assessment tools for clinical settings (CANRISK)|
|Project Description:||Funded by Cancer Research UK, the CanRisk programme is exploring how genetic, lifestyle/hormonal and clinical risk factors can be combined to predict the likelihood of a person developing breast and/or ovarian cancer.
The main objective of the CanRisk programme is to use discoveries in cancer genomics and epidemiology to develop, validate and implement the CanRisk Tool (developed by the Centre for Cancer Genetic Epidemiology) for cancer risk-stratification and prevention in primary, secondary and tertiary care.
The CanRisk Tool incorporates the new version of BOADICEA, the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm. BOADICEA can be used to calculate the future risks of developing breast or ovarian cancer and the likelihood of carrying mutations in the moderate to high risk genes (e.g. BRCA1). You can read more about the BOADICEA model here.
Following the development of the prototype CanRisk Tool, The Primary Care Cancer Group completed evaluations in the primary care and specialist genetics settings. After validation, the CanRisk tool has undergone CE marking (November 2019) and is now available for use by healthcare professionals (register here https://canrisk.org/accounts/register/).
Although the tool is now being widely used in a variety of clinical settings all across the world, our evaluation identified that there were opportunities to further optimise the tool for use in primary care. As a result, The Primary Care Cancer Group is currently working on two projects that aim to refine the risk presentation formats and management guidance.
|Start date:||1st July 2016|
|End date:||30th July 2021|
|Contact person:||Dr Stephanie Archer|
|Contact Details:||Primary Care Unit
Strangeways Research Laboratory
Telephone: 44 (0)1223 746857
Dr Fiona Walter, Primary Care Unit, Department of Public Health & Primary Care.
Dr Antonis Antoniou, Centre for Cancer Genetic Epidemiology, Department of Public Health & Primary Care / Department of Oncology.
Dr Marc Tischkowitz, Department of Medical Genetics, Cambridge University Hospitals.
|Funding Organisation:||Cancer Research UK (CRUK) (UK)|
|Publications:||Carver T, Cunningham AP, Villiers CB, Lee A, Hartley S, Tischkowitz M, Walter FM, Easton DF, Antoniou AC. pedigreejs: a web-based graphical pedigree editor. Bioinformatics. 2017. doi:10.1093/bioinformatics/btx705.|
|Further Information, References and Publications|
|Archer S, Babb de Villiers C, Scheibl F, Carver T, Hartley S, Lee A, Cunningham AP, Easton DF, McIntosh JG, Emery J, Tischkowitz M. Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study. PLoS One. 2020. http://dx.doi.org/10.1371/journal.pone.0229999
Carver T, Hartley S, Lee A, Cunningham AP, Archer S, de Villiers CB, Roberts J, Ruston R, Walter FM, Tischkowitz M, Easton DF. CanRisk Tool—A Web Interface for the Prediction of Breast and Ovarian Cancer Risk and the Likelihood of Carrying Genetic Pathogenic Variants. Cancer Epidemiology and Prevention Biomarkers. 2021. http://dx.doi.org/10.1158/1055-9965.EPI-20-1319
See more details on the PCU CANCER GROUP page for CanRisk