Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk

被引:10
作者
Rahman, Belinda [1 ]
Meisel, Susanne F. [2 ]
Fraser, Lindsay [1 ]
Side, Lucy [1 ]
Gessler, Sue [1 ]
Wardle, Jane [2 ]
Lanceley, Anne [1 ]
机构
[1] UCL, Dept Womens Canc, EGA Inst Womens Hlth, London, England
[2] UCL, Hlth Behav Res Ctr, Dept Epidemiol & Publ Hlth, London, England
关键词
Ovarian cancer; Risk prediction; Risk stratification; Genetic testing; High risk; BRCA1/2; GERMLINE MUTATIONS; SUSCEPTIBILITY; COMMUNICATION; PERCEPTION; AWARENESS; BREAST; SYMPTOMS; FAMILIES; BRCA1; UK;
D O I
10.1007/s10689-014-9769-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
There is an opportunity to improve outcomes for ovarian cancer (OC) through advances in risk stratification, early detection and diagnosis. A population-based OC genetic risk prediction and stratification program is being developed. A previous focus group study with individuals from the general population showed support for the proposed program. This qualitative interview study explores the attitudes of women at high risk of OC. Eight women participated in one-on-one, in-depth, semi-structured interviews to explore: experiences of learning of OC risk, risk perceptions, OC knowledge and awareness, and opinions on risk stratification approach. There was evidence of strong support for the proposed program. Benefits were seen as providing reassurance to women at low risk, and reducing worry in women at high risk through appropriate clinical management. Stratification into 'low' and 'high' risk groups was well-received. Participants were more hesitant about stratification to the 'intermediate' risk group. The data suggest formats to effectively communicate OC risk estimates will require careful thought. Interactions with GPs were highlighted as a barrier to OC risk assessment and diagnosis. These results are encouraging for the possible introduction and uptake of a risk prediction and stratification program for OC in the general population.
引用
收藏
页码:135 / 144
页数:10
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