Accuracy in risk understanding among BRCA1/2-mutation carriers

Talking about Familial Breast and Ovarian Cancer Risk-Evaluation of a Psychosocial Training Module for Gynecologists in Germany

Primary care gynecologists are increasingly integrated into the care of patients with hereditary breast and ovarian cancer (HBOC) risks. These physicians should not only have basic genetic knowledge; they should also feel able to sensitively address an increased HBOC risk and deal with emotional, stressful situations in this context. Our project aimed at developing a training module, 'iKNOWgynetics', addressing psychosocial challenges in the context of HBOC care for primary care gynecologists. We developed the psychosocial training module in three phases: first, we conducted an online survey with n = 35 women with a family history of breast or ovarian cancer to assess patients' experiences and needs. Second, based on the results of the needs assessment, we developed the training module. Third, we evaluated the training by assessing physicians' (n = 109) self-efficacy with regard to communication skills in the context of HBOC before and after the training. In the needs assessment, seven psychosocial themes emerged. These themes, complementing a review of the literature, informed the training curriculum. The training was divided into two parts: (1) communicating with women before genetic testing and (2) care co-management for women with HBOC after genetic testing. After the training, participants reported a significant increase in self-efficacy in three domains: communicating empathetically, educating patients in a comprehensible way and dealing with emotionally challenging situations. Our results highlight the relevance of psychosocial issues for patients with HBOC. A genetic literacy training module that integrates aspects of psychosocial care increases physicians' confidence in dealing with emotionally challenging situations before and after their patients' genetic testing. Thus, such trainings may improve the care of women with hereditary cancer risks.

Risk-management decision-making data from a community-based sample of racially diverse women at high risk of breast cancer: rationale, methods, and sample characteristics of the Daughter Sister Mother Project survey

BACKGROUND

To understand the dynamics that limit use of risk-management options by women at high risk of breast cancer, there is a critical need for research that focuses on patient perspectives. Prior research has left important gaps: exclusion of high-risk women not in risk-related clinical care, exclusion of non-white populations, and lack of attention to the decision-making processes that underlie risk-management choices. Our objective was to create a more inclusive dataset to facilitate research to address disparities related to decision making for breast cancer risk management.

METHODS

The Daughter Sister Mother Project survey collects comprehensive information about the experiences of women at high risk of breast cancer. We collected novel measures of feelings about and reactions to cancer screenings; knowledge, barriers, and facilitators of risk-management options; beliefs related to cancer risk and risk management; and involvement with loved ones who had cancer. Eligible individuals were non-Hispanic white and non-Hispanic Black adult women who self-identified as having high risk of breast cancer and had no personal history of cancer. Between October 2018 and August 2019, 1053 respondents completed the online survey. Of these, 717 were confirmed through risk prediction modeling to have a lifetime breast cancer risk of ≥ 20%. Sociodemographic characteristics of this sample were compared to those of nationally representative samples of the US population: the 2019 Health Information National Trends Survey and the Pew Research Center report: Jewish Americans in 2020.

RESULTS

The sample of 717 women at objectively high risk of breast cancer was largely (95%) recruited from non-clinical sources. Of these respondents, only 31% had seen a genetic counselor, 34% had had genetic testing specific to breast cancer risk, and 35% had seen at least one breast or cancer care specialist. The sample includes 35% Black respondents and 8% with Ashkenazi Jewish ancestry. Although encompassing a substantial range of ages, incomes, and education levels, respondents are overall somewhat younger, higher-income, and more educated than the US population as a whole.

CONCLUSIONS

The DSM dataset offers comprehensive data from a community-based, diverse sample of women at high risk of breast cancer. The dataset includes substantial proportions of Black and Ashkenazi Jewish women and women who are not already in clinical care related to their breast cancer risk. This sample will facilitate future studies of risk-management behaviors among women who are and are not receiving high-risk care, and of variations in risk-management experiences across race and ethnicity.

Interdisciplinary risk counseling for hereditary breast and ovarian cancer: real-world data from a specialized center

Purpose

Hereditary breast and ovarian cancer has long been established to affect a considerable number of patients and their families. By identifying those at risk ideally before they have been diagnosed with breast and/or ovarian cancer, access to preventive measures, intensified screening and special therapeutic options can be obtained, and thus, prognosis can be altered beneficially. Therefore, a standardized screening and counseling process has been established in Germany under the aegis of the German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC). As one of these specialized clinics, the HBOC-Center at Charité offers genetic counseling as well as genetic analysis based on the GC-HBOC standards. This analysis aims first at depicting this process from screening through counseling to genetic analysis as well as the patient collective and second at correlating the results of genetic analysis performed. Thus, real-world data from an HBOC-Center with a substantial patient collective and a high frequency of pathogenic variants in various genes shall be presented.

Methods

The data of 2531 people having been counseled at the HBOC-Center at Charité in 2016 and 2017 were analyzed in terms of patient and family history as well as pathogenic variants detected during genetic analysis with the TruRisk® gene panel when genetic analysis was conducted. This standardized analysis is compiled and regularly adjusted by the GC-HBOC. The following genes were included at time of research: BRCA1, BRCA2, ATM, CDH1, CHEK2, PALB2, RAD51C, RAD51D, NBN, and TP53.

Results

Genetic analysis was conducted in 59.8% of all cases meeting the criteria for genetic analysis and 286 pathogenic variants were detected among 278 (30.3%) counselees tested using the TruRisk® gene panel. These were primarily found in the genes BRCA1 (44.8%) and BRCA2 (28.3%) but also in CHEK2 (12.2%), ATM (5.6%) and PALB2 (3.5%). The highest prevalence of pathogenic variants was seen among the families with both ovarian and breast cancer (50.5%), followed by families with ovarian cancer only (43.2%) and families with breast cancer only (35.6%)—these differences are statistically significant (p < 0.001). Considering breast cancer subtypes, the highest rate of pathogenic variants was detected among patients with triple-negative breast cancer (40.7%) and among patients who had had been diagnosed with triple-negative breast cancer before the age of 40 (53.4%)—both observations proved to be statistically significant (p = 0.003 and p = 0.001).

Conclusion

Genetic counseling and analysis provide the foundation in the prevention and therapy of hereditary breast and ovarian cancer. The rate of pathogenic variants detected is associated with family history as well as breast cancer subtype and age at diagnosis, and can reach considerable dimensions. Therefore, a standardized process of identification, genetic counseling and genetic analysis deems mandatory.

What Causes Cancer in Women with a gBRCA Pathogenic Variant? Counselees' Causal Attributions and Associations with Perceived Control

Laypersons have a strong need to explain critical life events, such as the development of an illness. Expert explanations do not always match the beliefs of patients. We therefore assessed causal attributions made by women with a pathogenic germline variant in BRCA1/2 (gBRCA1/2-PV), both with and without a cancer diagnosis. We assumed that attributions would be associated with the control experience. We conducted a cross-sectional study of N = 101 women with a gBRCA1/2-PV (mean age 43.3 ± 10.9). Women answered self-report questionnaires on perceived causes and control. Most women (97%) named genes as a causal factor for the development of cancer. Surprisingly, the majority of women also named stress and health behavior (both 81%), environment (80%), and personality (61%). Women with a cancer diagnosis tended to endorse more causes. The attributions to personality (ρ = 0.39, p < 0.01) health behavior (ρ = 0.44, p < 0.01), and environment (ρ = 0.22, p < 0.05) were significantly associated with personal control, whereas attribution to genes showed a small, albeit significant association with treatment control (ρ = 0.20, p < 0.05). Discussing causal beliefs in clinical counseling may provide a “window of opportunity” in which risk factors and health behaviors could be better addressed and individually targeted.

iKNOW - a paradigmatic approach to support personalized counseling with digital health (Preprint)

iKNOW is the first evidence-based digital tool to support personalized counseling for women in Germany with a hereditary cancer risk. The counseling tool is designed for carriers of pathogenic gBRCA (germline breast cancer gene) variants that increase the lifetime risk of breast and ovarian cancer. Carriers of pathogenic variants are confronted with complex, individualized risk information, and physicians must be able to convey this information in a comprehensible way to enable preference-sensitive health decisions. In this paper, we elaborate on the clinical, regulatory, and practical premises of personalized counseling in Germany. By operationalizing these premises, we formulate 5 design principles that, we suggest, are specific enough to develop a digital tool (eg, iKNOW), yet wide-ranging enough to inform the development of counseling tools for personalized medicine more generally: (1) digital counseling tools should implement the current standard of care (eg, based on guidelines); (2) digital counseling tools should help to both standardize and personalize the counseling process (eg, by enabling the preference-sensitive selection of counseling contents from a common information base); (3) digital counseling tools should make complex information easy to access both cognitively (eg, by using evidenced-based risk communication formats) and technically (eg, by means of responsive design for various devices); (4) digital counseling tools should respect the counselee's data privacy rights (eg, through strict pseudonymization and opt-in consent); and (5) digital counseling tools should be systematically and iteratively evaluated with the users in mind (eg, using formative prototype testing to ensure a user-centric design and a summative multicenter, randomized controlled trial). On the basis of these paradigmatic design principles, we hope that iKNOW can serve as a blueprint for the development of more digital innovations to support personalized counseling approaches in cancer medicine.

Nurse-led decision coaching by specialized nurses for healthy BRCA1/2 gene mutation carriers - adaptation and pilot testing of a curriculum for nurses: a qualitative study

Background

Women with BRCA1/2 mutations are at high risk to develop breast and ovarian cancer. To support these women to participate in shared decision-making, structured nurse-led decision coaching combined with an evidence-based decision aid may be employed.

In preparation of the interprofessional randomized controlled trial to evaluate a decision coaching program to support preventive decisions of healthy female BRCA 1/2 gene mutation carriers (EDCP-BRCA), we adapted and piloted an existing training program for specialized nurses and included elements from an existing physician communication training.

Methods

The training was adapted according to the six-step-approach for medical curriculum development. The educational design is based on experience- and problem-based learning.

Subsequently, we conducted a qualitative pilot study. Nurses were recruited from six German centers for familial breast and ovarian cancer. The acceptability and feasibility were assessed by structured class observations, field notes and participants’ feedback. Data were analyzed using qualitative content analysis. The training was revised according to the results.

Due to the COVID-19 pandemic, the patient intervention was adapted as a virtual coaching and a brief additional training for nurses was added.

Results

The training consists of two modules (2 + 1 day) that teach competences in evidence-based medicine and patient information, (risk) communication and decision coaching. One pilot test was conducted with six nurses of which three were specialized and experienced in patient counselling. A final set of eight main categories was derived from the data: framework conditions; interaction; schedule, transparency of goals, content, methods, materials and practical relevance and feasibility. Overall, the training was feasible and comprehensible. Decision coaching materials were awkward to handle and decision coaching role plays were set too short. Therefore, materials will be sent out in advance and the training was extended.

Conclusions

Specialized nurses are rarely available and nurse-led counselling is not routinely implemented in the centers of familial breast and ovarian cancer. However, training of less qualified nurses seems feasible. Decision coaching in a virtual format seems to be a promising approach. Further research is needed to evaluate its feasibility, acceptability and effectiveness.

Trial registration

The main trial is registered under DRKS-ID: DRKS00015527.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-022-00810-8.

Evaluation of a patient decision aid for BRCA1/2 pathogenic variant carriers choosing an ovarian cancer prevention strategy

OBJECTIVE

Risk-reducing surgery is advised to BRCA1/2 pathogenic variant (PV) carriers around the age of 40 years to reduce ovarian cancer risk. In the TUBA-study, a multicenter preference study (NCT02321228), BRCA1/2-PV carriers are offered a choice: the standard strategy of risk-reducing salpingo-oophorectomy or the novel strategy of risk-reducing salpingectomy with delayed oophorectomy. We evaluated feasibility and effectiveness of a patient decision aid for this choice.

METHODS

Premenopausal BRCA1/2-PV carriers were counselled for risk-reducing surgical options in the TUBA-study; the first cohort was counselled without and the second cohort with decision aid. Evaluation was performed using digital questionnaires for participating women and their healthcare professionals. Outcome measures included actual choice, feasibility (usage and experiences) and effectiveness (knowledge, cancer worry, decisional conflict, decisional regret and self-estimated influence on decision).

RESULTS

283 women were counselled without and 282 women with decision aid. The novel strategy was chosen less frequently in women without compared with women with decision aid (67% vs 78%, p = 0.004). The decision aid was graded with an 8 out of 10 by both women and professionals, and 78% of the women would recommend this decision aid to others. Users of the decision aid reported increased knowledge about the options and increased insight in personal values. Knowledge on cancer risk, decisional conflict, decisional regret and cancer worry were similar in both cohorts.

CONCLUSIONS

The use of the patient decision aid for risk-reducing surgery is feasible, effective and highly appreciated among BRCA1/2-PV carriers facing the decision between salpingo-oophorectomy or salpingectomy with delayed oophorectomy.

Making Sense of a Health Threat: Illness Representations, Coping, and Psychological Distress among BRCA1/2 Mutation Carriers

Little is known about how women with a BRCA1/2 mutation develop an individual understanding of their breast and ovarian cancer risk and how this affects their psychological distress. In this study, we investigated associations between illness representations, coping strategies and psychological distress. N = 101 BRCA1/2 mutation carriers answered self-report questionnaires on illness representations, coping strategies, cancer worry and depressive symptoms. Women without cancer were compared to women with a previous cancer diagnosis. Illness representations explained 50% and 45% of the variability in cancer worry and depressive symptoms, respectively. Woman perceiving severe consequences (β = 0.29, p < 0.01) and having more concerns (β = 0.37, p < 0.01) were found to report more cancer worry. Perceiving information about the mutation as less coherent (β = −0.17, p < 0.05) and experiencing negative emotional responses (β = 0.60, p < 0.01) were both associated with more depressive symptoms. Women with a previous cancer diagnosis show patterns of illness representations that are potentially more distressing than women without a cancer diagnosis. Findings suggest that physicians involved in counseling should pay attention to illness representations of distressed women. Thereby, it would be possible to detect maladaptive thoughts associated with the mutation, address negative emotions and encourage adaptive coping strategies.

The accuracy of breast cancer risk self-assessment does not correlate with knowledge about breast cancer and knowledge and attitudes towards primary chemoprevention

The increase of breast cancer (BC) incidence has drawn attention to BC risk as means of reducing mortality and morbidity of the disease. The aim of this study was to determine the accuracy of BC risk perception, evaluate factors that affect risk perception and assess the correlation between BC risk perception and attitudes towards BC chemoprevention. A cross-sectional study included total of 258 women with average and high-risk for BC according to the Breast Cancer Risk Assessment Tool (BCRAT). All data were collected by face-to-face interview by three trained 6th year medical school students using a 54-item questionnaire. Each participant's actual BC risk was compared to a perceived risk and the accuracy of the BC risk self-assessment was determined. 72% of high-risk women underestimated their BC risk (p < 0.001). One third of subjects with a family history of BC have also underestimated their own risk (p = 0.002). Women who responded to screening mammography were more informed about BC risk factors (p = 0.001). General knowledge about BC chemoprevention was surprisingly low, regardless of the accuracy of BC risk self-assessment. High-risk women appear to be unrealistically optimistic, since there was a significant difference between the accuracy of self-perceived risk and the objective BC risk.

Breast MRI texture analysis for prediction of BRCA-associated genetic risk

Background

BRCA1/2 deleterious variants account for most of the hereditary breast and ovarian cancer cases. Prediction models and guidelines for the assessment of genetic risk rely heavily on criteria with high variability such as family cancer history. Here we investigated the efficacy of MRI (magnetic resonance imaging) texture features as a predictor for BRCA mutation status.

Methods

A total of 41 female breast cancer individuals at high genetic risk, sixteen with a BRCA1/2 pathogenic variant and twenty five controls were included. From each MRI 4225 computer-extracted voxels were analyzed. Non-imaging features including clinical, family cancer history variables and triple negative receptor status (TNBC) were complementarily used. Lasso-principal component regression (L-PCR) analysis was implemented to compare the predictive performance, assessed as area under the curve (AUC), when imaging features were used, and lasso logistic regression or conventional logistic regression for the remaining analyses.

Results

Lasso-selected imaging principal components showed the highest predictive value (AUC 0.86), surpassing family cancer history. Clinical variables comprising age at disease onset and bilateral breast cancer yielded a relatively poor AUC (~ 0.56). Combination of imaging with the non-imaging variables led to an improvement of predictive performance in all analyses, with TNBC along with the imaging components yielding the highest AUC (0.94). Replacing family history variables with imaging components yielded an improvement of classification performance of ~ 4%, suggesting that imaging compensates the predictive information arising from family cancer structure.

Conclusions

The L-PCR model uncovered evidence for the utility of MRI texture features in distinguishing between BRCA1/2 positive and negative high-risk breast cancer individuals, which may suggest value to diagnostic routine. Integration of computer-extracted texture analysis from MRI modalities in prediction models and inclusion criteria might play a role in reducing false positives or missed cases especially when established risk variables such as family history are missing.

Do Preferred Risk Formats Lead to Better Understanding? A Multicenter Controlled Trial on Communicating Familial Breast Cancer Risks Using Different Risk Formats

PURPOSE

Counselees' preferences are considered important for the choice of risk communication format and for improving patient-centered care. We here report on counselees' preferences for how risks are presented in familial breast cancer counseling and the impact of this preferred format on their understanding of risk.

PATIENTS AND METHODS

As part of a practice-based randomized controlled trial, 326 unaffected women with a family history of breast cancer received their lifetime risk in one of five presentation formats after standard genetic counseling in three Dutch familial cancer clinics: 1) in percentages, 2) in frequencies ("X out of 100"), 3) in frequencies plus graphical format (10×10 human icons), 4) in frequencies and 10-year age-related risk and 5) in frequencies and 10-year age-related risk plus graphical format. Format preferences and risk understanding (accuracy) were assessed at 2-week follow-up by a questionnaire, completed by 279/326 women.

RESULTS

The most preferred risk communication formats were numbers combined with verbal descriptions (37%) and numbers only (26%). Of the numerical formats, most (55%) women preferred percentages. The majority (73%) preferred to be informed about both lifetime and 10-year age-related risk. Women who had received a graphical display were more likely to choose a graphical display as their preferred format. There was no significant effect between the intervention groups with regard to risk accuracy. Overall, women given risk estimates in their preferred format had a slightly better understanding of risk.

CONCLUSION

The results suggest that the accuracy of breast cancer risk estimation is slightly better for women who had received this information in their preferred format, but the risk format used had no effect on women's risk accuracy. To meet the most frequent preference, counselors should consider providing a time frame of reference (eg, risk in the next 10 years) in a numerical format, in addition to lifetime risk.