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Joint ABS-UKCGG-CanGene-CanVar consensus regarding the use of CanRisk in clinical practice.

Published version
Peer-reviewed

Repository DOI


Change log

Authors

Tsoulaki, Olga 
Antoniou, Antonis C 
Musgrave, Hannah 
Rea, Gillian 

Abstract

BACKGROUND: The CanRisk tool, which operationalises the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) is used by Clinical Geneticists, Genetic Counsellors, Breast Oncologists, Surgeons and Family History Nurses for breast cancer risk assessments both nationally and internationally. There are currently no guidelines with respect to the day-to-day clinical application of CanRisk and differing inputs to the model can result in different recommendations for practice. METHODS: To address this gap, the UK Cancer Genetics Group in collaboration with the Association of Breast Surgery and the CanGene-CanVar programme held a workshop on 16th of May 2023, with the aim of establishing best practice guidelines. RESULTS: Using a pre-workshop survey followed by structured discussion and in-meeting polling, we achieved consensus for UK best practice in use of CanRisk in making recommendations for breast cancer surveillance, eligibility for genetic testing and the input of available information to undertake an individualised risk assessment. CONCLUSIONS: Whilst consensus recommendations were achieved, the meeting highlighted some of the barriers limiting the use of CanRisk in clinical practice and identified areas that require further work and collaboration with relevant national bodies and policy makers to incorporate wider use of CanRisk into routine breast cancer risk assessments.

Description

Acknowledgements: Thank you to Rosie Way and Bethany Torr who helped with organisation of the meeting and preparation of the manuscript.


Funder: National Institute for Health and Care Research Exeter Biomedical Research Centre (NIHR203320)


Funder: NIHR Cambridge Biomedical Research Centre (NIHR203312)

Keywords

Humans, Female, Breast Neoplasms, Risk Assessment, Genetic Testing, United Kingdom, Genetic Predisposition to Disease, Consensus, Algorithms, Genetic Counseling

Journal Title

Br J Cancer

Conference Name

Journal ISSN

0007-0920
1532-1827

Volume Title

130

Publisher

Springer Science and Business Media LLC
Sponsorship
MRC (MR/X502844/1)
Cancer Research UK (SEBINT-20100002)