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      Information needs on breast cancer genetic and non-genetic risk factors in relatives of women with a BRCA1/2 or PALB2 pathogenic variant

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          Abstract

          Objectives

          Comprehensive breast cancer (BC) risk models integrating effects of genetic (GRF) and non-genetic risk factors (NGRF) may refine BC prevention recommendations. We explored the perceived information received on BC risk factors, and related characteristics, in female relatives of women with a BRCA1/2 or PALB2 pathogenic variant, undergoing BC risk assessment using the CanRisk© prediction tool.

          Methods

          Of 200 consecutive cancer-free women approached after the initial genetic consultation, 161 (80.5%) filled in questionnaires on their perception of information received and wished further information on BC risk factors (e.g., being a carrier of a moderate risk altered gene, personal genetic profile, lifestyles). Multilevel multivariate linear models were performed accounting for the clinician who met the counselee and exploring the effect of counselees’ socio-demographic, familial and psychological characteristics on the perceived extent of information received.

          Results

          Perceived no/little information received and wish for further information were more frequent for NGRF (>50%) than for GRF, especially high-risk genes (<20%). Perceived amount of information received and desire for further information were inversely correlated (p=<0.0001). Higher education level related to lower perceived levels of information received on GRF. Younger counselees' age (β = 0.13, p = 0.02) and less frequent engagement coping (e.g., inclination to solicit information) (β = 0.24, p = 0.02) related to lower perceived information received about NGRF. Other assessed counselees’ features were not found to be associated to GRF and NGRF information perception.

          Conclusions

          Awareness of counselees’ perceived lack of information on BC risk factors indicates a need to enhance evidence-based information on BC NGRF especially.

          Highlights

          • Comprehensive breast cancer (BC) risk assessment may integrate genetic and non-genetic risk factors, providing more accurate BC risk estimates and nuanced clinical recommendations.

          • Standard BC genetic counseling focuses on major genetic risks.

          • Female relatives of women with a BRCA1/2 or PALB2 pathogenic variant perceived a lack of information about non-genetic risk factors.

          • As these factors may affect health prevention, enhancing the provision of information about them appears necessary.

          • Further research should focus on modalities of information delivery about overall BC risk factors such as by which health care professionals provide this information and at which time-point in the BC risk counseling journey.

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          Most cited references55

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            The Health Belief Model and Preventive Health Behavior

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              Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

              Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57–1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628–0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
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                Author and article information

                Contributors
                Journal
                Breast
                Breast
                The Breast : Official Journal of the European Society of Mastology
                Elsevier
                0960-9776
                1532-3080
                23 August 2021
                December 2021
                23 August 2021
                : 60
                : 38-44
                Affiliations
                [a ]Institut Curie, Supportive Care Department, Psycho-oncology Unit, PSL University, 26 rue d’Ulm, Paris, 75005 Paris Cedex 05, France
                [b ]University of Paris, 71 Avenue Edouard Vaillant, Boulogne-Billancourt, 92774, France
                [c ]Institut Curie, Cancer Genetic Clinic, PSL University, 26 rue d’Ulm, 75005 Paris Cedex 05, France
                [d ]Centre Léon Bérard, Department of Clinical Research and Innovation& Human and Social Sciences Department, 28 rue Laennec, Lyon; French National Platform Quality of Life and Cancer, Lyon, 69373, France
                [e ]Center for Familial Breast and Ovarian and Cancer for Integrated Oncology (CIO), Kerpener Str. 62 50937 Cologne, University Hospital of Cologne, Cologne, Germany
                [f ]VCR, École de Psychologues Praticiens de l’Institut Catholique de Paris, 23 Rue du Montparnasse, 75006, Paris, France
                [g ]Université de Lorraine, 2LPN, 3 Place Godefroy de Bouillon, Nancy, 54 015 Nancy Cedex, France
                [h ]Leiden University Medical Centre, Department of Human Genetics, Department of Pathology, S4-P, P.O. Box 9600, 2300, RC, Leiden, the Netherlands
                [i ]CESP, University Paris-Sud, UVSQ, INSERM, University Paris-Saclay, 16 Avenue Paul Vaillant-Couturier, 94807, Villejuif Cedex, France
                Author notes
                []Corresponding author. Institut Curie, Psycho-Oncology Unit, 26 rue d’Ulm, 75005 Paris Cedex 05, France. anne.bredart@ 123456curie.fr
                Article
                S0960-9776(21)00441-0
                10.1016/j.breast.2021.08.011
                8403756
                34455229
                572a15e0-fa60-4a37-9e3a-9337e0dc168a
                © 2021 Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 15 June 2021
                : 29 July 2021
                : 21 August 2021
                Categories
                Original Article

                Obstetrics & Gynecology
                breast cancer risk,factors,genetic,lifestyle habit,communication,information needs

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