Hereditary breast and ovarian cancer syndrome (HBOC) is associated with other genes beyond BRCA. The performance of prophylactic bilateral mastectomy (PBM) and risk-reducing salpingo-oophorectomy (RRSO) are primary prevention measures that can be recommended depending on the type of pathogenic/likely pathogenic (P/LP) variant detected or family history. Descriptive, retrospective, and observational audit. Between the years 2015 to May 2023, a total of 288 families were studied by a multigene panel using NGS. Statistical analysis was performed using IBM SPSS Statistics 22. Non-BRCA P/LP variants were detected in 38 families (84.2% females and 15.8% males); 18 in ATM (44.7 %), 7 in CHEK2 (18.4%), 5 in TP53 (13.2%), 2 in PTEN (5.3%), 2 in PALB2 (5.3%), 1 in RAD51C (2.6%), 1 in BRIP1 (2.6%), 1 in CDH1 (2.6%) and 1 in RAD51D (2.6%). Risk-reducing surgery was recommended in 18 patients (PBM in 18 [46.2 %] and RRSO in 5 [13.2%]). Given the results of our study, we support the recommendations of the guidelines on the use of multigene panels in the study of HBOC. Knowing P/LP variants beyond BRCA1 and 2 has an impact on the follow-up and primary and secondary prevention of affected families.
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http://dx.doi.org/10.1016/j.currproblcancer.2023.101008 | DOI Listing |
Breast J
January 2025
Department of General Surgery, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
Purpose of this study is to investigate the quality and reliability of YouTube video contents on prophylactic mastectomy. The search terms "prophylactic mastectomy," "prophylactic mastectomy surgery," "preventive surgery for breast cancer," "risk-reducing mastectomy," and "prophylactic mastectomy and breast reconstruction" were searched on YouTube. The uploader, video content, length (seconds), upload date, number of days since upload date, number of views, number of comments, and likes were recorded and evaluated.
View Article and Find Full Text PDFJ Hum Genet
January 2025
Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Large-scale population cohort studies that collect genomic information are tasked with returning an assessment of genetic risk for hereditary cancers to participants. While several studies have applied to return identified genetic risks to participants, comprehensive surveys of participants' understanding, feelings, and behaviors toward cancer risk remain to be conducted. Here, we report our experience and surveys of returning genetic risks to 100 carriers of pathogenic variants for hereditary cancers identified through whole genome sequencing of 50 000 individuals from the Tohoku Medical Megabank project, a population cohort study.
View Article and Find Full Text PDFBJOG
January 2025
Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Obstetrics and Gynecology, Nijmegen, The Netherlands.
Objective: To compare menopause-related quality of life (QoL) after risk-reducing salpingectomy (RRS) versus risk-reducing salpingo-oophorectomy (RRSO) until 3 years of post-surgery.
Design: A prospective study (TUBA study) with treatment allocation based on patients' preference. Data were collected pre-surgery and at 3 months, 1 and 3 years of post-surgery.
EClinicalMedicine
January 2025
Department of Clinical Genetics, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Background: Female Lynch syndrome carriers have an increased risk of developing endometrial cancer. Regardless, research on endometrial carcinoma tumorigenesis is scarce and no uniform, evidence-based gynaecological management guidelines exist. We therefore described gynaecological surveillance and surgery outcomes in a nation-wide Lynch syndrome cohort.
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.
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