Assessment of psychosocial difficulties by genetic clinicians and distress in women at high risk of breast cancer: a prospective study.

We examined how often genetic clinicians correctly identify psychosocial difficulties in women at high breast cancer risk and explored effects of this assessment and the genetic test result on counselees' distress. A prospective observational study of counselee-clinician dyads was performed in three French, German and Spanish genetic clinics, involving 709 counselees (participation rate, 83.4%) and 31 clinicians (participation rate, 100%). Counselee-clinician agreement in perceived psychosocial difficulties was measured after the pre-test genetic consultation. Multivariate mixed linear models accounting for clinicians were tested. Predicted distress levels were assessed after the pre- (T1) and post-test result disclosure consultations (T2). Depending on the difficulty domain, clinicians adequately assessed the presence or absence of difficulties in 51% ("familial issues") to 59% ("emotions") of counselees. When counselees' and clinicians' perceptions disagreed, difficulties were generally underestimated by clinicians. Counselees' distress levels remained stable from T1 to T2, irrespective of clinicians' appraisal adequacy, and the genetic test result disclosure. Psychological referral need were found in 20-42% of counselees, more frequently observed for difficulties in the "emotions" domain. Our findings suggest that the genetic test result is a suboptimal indicator for psychological referral. Instead, clinicians should focus on emotions expressed by counselees to appraise their needs for psychological support.

Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I).

Early detection of breast cancer through screening reduces breast cancer mortality. The benefits of screening must also be considered within the context of potential harms (e.g., false positives, overdiagnosis). Furthermore, while breast cancer risk is highly variable within the population, most screening programs use age to determine eligibility. A risk-based approach is expected to improve the benefit-harm ratio of breast cancer screening programs. The PERSPECTIVE I&I (Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation) project seeks to improve personalized risk assessment to allow for a cost-effective, population-based approach to risk-based screening and determine best practices for implementation in Canada. This commentary describes the four inter-related activities that comprise the PERSPECTIVE I&I project. 1: Identification and validation of novel moderate to high-risk susceptibility genes. 2: Improvement, validation, and adaptation of a risk prediction web-tool for the Canadian context. 3: Development and piloting of a socio-ethical framework to support implementation of risk-based breast cancer screening. 4: Economic analysis to optimize the implementation of risk-based screening. Risk-based screening and prevention is expected to benefit all women, empowering them to work with their healthcare provider to make informed decisions about screening and prevention.

Correction to: Clinicians' use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey.

The published online version contains mistake in author list. The correct presentation of the name Rita Schmutlzer is Rita Schmutzler.

Clinicians' use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey.

The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) tool are being extended to incorporate additional genetic and non-genetic BC risk factors. From an online survey through the BOADICEA website and UK, Dutch, French and Swedish national genetic societies, we explored the relationships between the usage frequencies of the BWA and six other common BC risk assessment tools and respondents' perceived importance of BC risk factors. Respondents (N = 443) varied in age, country and clinical seniority but comprised mainly genetics health professionals (82%) and BWA users (93%). Oncology professionals perceived reproductive, hormonal (exogenous) and lifestyle BC risk factors as more important in BC risk assessment compared to genetics professionals (p values < 0.05 to 0.0001). BWA was used more frequently by respondents who gave high weight to breast tumour pathology and low weight to personal BC history as BC risk factors. BWA use was positively related to the weight given to hormonal BC risk factors. The importance attributed to lifestyle and BMI BC risk factors was not associated with the use of BWA or any of the other tools. Next version of the BWA encompassing additional BC risk factors will facilitate more comprehensive BC risk assessment in genetics and oncology practice.

Association between BRCA1 and BRCA2 mutations and cancer phenotype in Spanish breast/ovarian cancer families: implications for genetic testing.

Index cases from a clinically relevant cohort of 102 Spanish families with at least 3 cases of breast and/or ovarian cancer (at least 1 case diagnosed before age 50) in the same lineage were screened for germline mutations in the entire coding sequence and intron boundaries of the breast cancer susceptibility genes BRCA1 and BRCA2. Overall, the prevalence of mutations was 43% in female breast/ovarian cancer families, 15% in female breast cancer families and 100% in male breast cancer families. Three recurrent mutations (185delAG, 589delCT and A1708E) explained 63% of BRCA1-related families. Early age at diagnosis of breast cancer, ovarian cancer, bilateral breast cancer, concomitant breast/ovarian cancer in a single patient and prostate cancer but not unilateral breast cancer were associated with BRCA1 and BRCA2 mutations. Male breast cancer was associated with BRCA2 mutations. The presence of male breast cancer was the only cancer phenotype that distinguished BRCA2- from BRCA1-related families. We have developed a logistic regression model for predicting the probability of harbouring a mutation in either BRCA1 or BRCA2 as a function of the cancer phenotype present in the family. The predictive positive and negative values of this model were 77.4% and 79%, respectively (probability cutoff of 30%). The findings of our work may be a useful tool for increasing the cost-effectiveness of genetic testing in familial cancer clinics.