Background: Breast cancer is a significant public health problem worldwide and the development of tools to identify individuals at-risk for hereditary breast cancer syndromes, where specific interventions can be proposed to reduce risk, has become increasingly relevant. A previous study in Southern Brazil has shown that a family history suggestive of these syndromes may be prevalent at the primary care level. Development of a simple and sensitive instrument, easily applicable in primary care units, would be particularly helpful in underserved communities in which identification and referral of high-risk individuals is difficult.
Methods: A simple 7-question instrument about family history of breast, ovarian and colorectal cancer, FHS-7, was developed to screen for individuals with an increased risk for hereditary breast cancer syndromes. FHS-7 was applied to 9218 women during routine visits to primary care units in Southern Brazil. Two consecutive samples of 885 women and 910 women who answered positively to at least one question and negatively to all questions were included, respectively. The sensitivity, specificity and positive and negative predictive values were determined.
Results: Of the 885 women reporting a positive family history, 211 (23.8%; CI95%: 21.5-26.2) had a pedigree suggestive of a hereditary breast and/or breast and colorectal cancer syndrome. Using as cut point one positive answer, the sensitivity and specificity of the instrument were 87.6% and 56.4%, respectively. Concordance between answers in two different applications was given by a intra-class correlation (ICC) of 0.84 for at least one positive answer. Temporal stability of the instrument was adequate (ICC = 0.65).
Conclusion: A simple instrument for the identification of the most common hereditary breast cancer syndrome phenotypes, showing good specificity and temporal stability was developed and could be used as a screening tool in primary care to refer at-risk individuals for genetic evaluations.
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http://dx.doi.org/10.1186/1471-2407-9-283 | DOI Listing |
JCO Glob Oncol
January 2025
Servicio de Oncología, Centro Universitario Contra el Cáncer (CUCC), Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, México.
Purpose: Hereditary cancer syndromes (HCS) explain 5%-10% of all cancer cases. Patients with more than one germline pathogenic variant (GPV) result in a clinical syndrome known as multilocus inherited neoplasia allele syndrome (MINAS). In recent years, an increasing number of MINAS cases have been reported.
View Article and Find Full Text PDFBreast Cancer Res Treat
January 2025
Division of Human Genetics, Faculty of Health Sciences, National Health Laboratory Service and University of the Witwatersrand, Johannesburg, South Africa.
Purpose: Breast cancer (BC) is the commonest cancer in South African women. A proportion are associated with a pathogenic or likely pathogenic (P/LP) variant in a BC susceptibility gene. Clinical guidelines for genetic testing are used to optimise variant detection while containing costs.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
Background: The accurate interpretation of the /2 variant is critical for diagnosing and treating hereditary breast and ovarian cancers. ClinVar is a widely used public database for genetic variants. Conflicting classifications of pathogenicity can occur when different submitters categorize the same genetic variant inconsistently as pathogenic (PV), likely pathogenic (LPV), likely benign (LBV), benign (BV), or a variant of uncertain significance (VUS).
View Article and Find Full Text PDFCancers (Basel)
December 2024
Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne 3052, Australia.
The effectiveness and cost-effectiveness of genetic testing for hereditary breast and ovarian cancer largely rely on the identification and clinical management of individuals with a pathogenic variant prior to developing cancer. Simulation modelling is commonly utilised to evaluate genetic testing strategies due to its ability to synthesise collections of data and extrapolate over long time periods and large populations. Existing genetic testing simulation models use simplifying assumptions for predictive genetic testing and risk management uptake, which could impact the reliability of their estimates.
View Article and Find Full Text PDFJ Breast Cancer
December 2024
Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
Purpose: The partner and localizer of breast cancer 2 (PALB2) mutation is a predisposition to breast cancer development. However, limited clinical data are available for the Korean population. Therefore, this study aimed to compare the characteristics and oncological outcomes of patients with PALB2-mutated and non-mutated PALB2 in Korea.
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