Efficiency of BRCAPRO and Myriad II mutation probability thresholds versus cancer history criteria alone for BRCA1/2 mutation detection

Analysis of Lifestyle and Genetic Risk Factors in Urban Women in China Who Had Malignant or Suspected Malignant Breast Nodules Identified via Breast Cancer Screening

Objective

Breast cancer seriously endangers women's health. It is very important to analyze the lifestyle and genetic risk factors for people with malignant or suspected malignant nodules in breast cancer screening for the prevention of breast cancer.

Methods

A total of 3,142 urban female residents in southern China completed a clinical screening for breast cancer. The participants completed questionnaires on living environmental factors and underwent clinical imaging examinations and genetic testing of 73 SNP loci. According to the BI-RADS classification results, the population was divided into positive and negative groups. Key factors were identified through intergroup differences and association analysis. Lifestyle models, SNP models, and lifestyle + PRS models were constructed. ROC curves and nomograms were used to evaluate the classification effect of the model.

Results

There were 10 lifestyle factors that were significantly different between the groups, 4 of which were significantly associated with positive breast imaging results (p < 0.05), including age (OR = 0.972, 95% CI: 0.957-0.988), duration of breastfeeding (0.982, 0.970-0.994), history of benign breast disease (1.838, 1.299-2.599), and high-fat diet (1.507, 1.166-1.947). There were 5 significant SNPs, including BRCA2-rs1799955, TLR1-rs4833095, ZNF365-rs10822013, SLC4A7-rs4973768, and BRCA2-rs144848. The AUC values for the lifestyle, SNP, and lifestyle + PRS models were 0.625, 0.598, and 0.633, respectively. The C index of the lifestyle + PRS model was 0.633.

Conclusion

Advocating breastfeeding, reducing the intake of high-fat diets, and protecting breast health may help lower the risk of positive results in breast screenings. The combination of lifestyle factors and genetic factors can enhance the predictive power of the model.

Utilization of breast cancer risk prediction models by cancer genetic counselors in clinical practice predominantly in the United States

Risk assessment in cancer genetic counseling is essential in identifying individuals at high risk for developing breast cancer to recommend appropriate screening and management options. Historically, many breast cancer risk prediction models were developed to calculate an individual's risk to develop breast cancer or to carry a pathogenic variant in the BRCA1 or BRCA2 genes. However, how or when genetic counselors use these models in clinical settings is currently unknown. We explored genetic counselors' breast cancer risk model usage patterns including frequency of use, reasons for using or not using models, and change in usage since the adoption of multi-gene panel testing. An online survey was developed and sent to members of the National Society of Genetic Counselors; board-certified genetic counselors whose practice included cancer genetic counseling were eligible to participate in the study. The response rate was estimated at 23% (243/1,058), and respondents were predominantly working in the United States. The results showed that 93% of all respondents use at least one breast cancer risk prediction model in their clinical practice. Among the six risk models selected for the study, the Tyrer-Cuzick (IBIS) model was used most frequently (95%), and the BOADICEA model was used least (40%). Determining increased or decreased surveillance and breast MRI eligibility were the two most common reasons for most model usage, while time consumption and difficulty in navigation were the two most common reasons for not using models. This study provides insight into perceived benefits and limitations of risk models in clinical use in the United States, which may be useful information for software developers, genetic counseling program curriculum developers, and currently practicing cancer genetic counselors.

Comparison between CaGene 5.1 and 6.0 for BRCA1/2 mutation prediction: a retrospective study of 150 BRCA1/2 genetic tests in 517 families with breast/ovarian cancer

During the past years, several empirical and statistical models have been developed to discriminate between carriers and non-carriers of germline BRCA1/BRCA2 (breast cancer 1, early onset/breast cancer 2, early onset) mutations in families with hereditary breast or ovarian cancer. Among these, the BRCAPRO or CaGene model is commonly used during genetic counseling, and plays a central role in the identification of potential carriers of BRCA1/2 mutations. We compared performance and clinical applicability of BRCAPRO version 5.1 vs version 6.0 in order to assess diagnostic accuracy of updated version. The study was carried out on 517 pedigrees of patients with familial history of breast or ovarian cancer, 150 of which were submitted to BRCA1/2 mutation screening, according to BRCAPRO evaluation or to criteria based on familial history. In our study, CaGene 5.1 was more sensitive than CaGene 6.0, although the latter showed a higher specificity. Both BRCAPRO versions better discriminate BRCA1 than BRCA2 mutations. This study evidenced similar performances in the two BRCAPRO versions even if the CaGene 6.0 has underestimated the genetic risk prediction in some BRCA mutation-positive families. Genetic counselors should recognize this limitation and during genetic counseling would be advisable to use a set of criteria in order to improve mutation carrier prediction.

Novel BRCA1 and BRCA2 pathogenic mutations in Slovene hereditary breast and ovarian cancer families

The estimated proportion of hereditary breast and ovarian cancers among all breast and ovarian cancer cases is 5-10%. According to the literature, inherited mutations in the BRCA1 and BRCA2 tumour-suppressor genes, account for the majority of hereditary breast and ovarian cancer cases. The aim of this report is to present novel mutations that have not yet been described in the literature and pathogenic BRCA1 and BRCA2 mutations which have been detected in HBOC families for the first time in the last three years. In the period between January 2009 and December 2011, 559 individuals from 379 families affected with breast and/or ovarian cancer were screened for mutations in the BRCA1 and BRCA2 genes. Three novel mutations were detected: one in BRCA1 - c.1193C>A (p.Ser398*) and two in BRCA2 - c.5101C>T (p.Gln1701*) and c.5433_5436delGGAA (p.Glu1811Aspfs*3). These novel mutations are located in the exons 11 of BRCA1 or BRCA2 and encode truncated proteins. Two of them are nonsense while one is a frameshift mutation. Also, 11 previously known pathogenic mutations were detected for the first time in the HBOC families studied here (three in BRCA1 and eight in BRCA2). All, except one cause premature formation of stop codons leading to truncation of the respective BRCA1 or BRCA2 proteins.

[A new scoring system for the diagnosis of BRCA1/2 associated breast-ovarian cancer predisposition]

Criteria have been proposed for genetic testing of breast and ovarian cancer susceptibility genes BRCA1 and BRCA2. Using simulations, this study evaluates the efficiency (sensitivity, positive predictive value [PPV] and specificity) of the various criteria used in France. The efficiency of the criteria published in 1998, which are largely used, is not optimal. We show that some extensions of these criteria provide an increase in sensitivity with a low decrease in specificity and PPV. The study shows that scoring systems (Manchester, Eisinger) have similar efficiency that may be improved. In this aim, we propose a new scoring system that takes into account unaffected individuals and kinship coefficients between family members. This system increases sensitivity without affecting PPV and specificity. Finally, we propose a two-step procedure with a large screening by the physician for recommending genetic counselling, followed by a more stringent selection by the geneticist for prescribing genetic testing. This procedure would result in an increase of genetic counselling activity but would allow the identification of almost 80% of mutation carriers among affected individuals, with a mutation detection rate of 15% and a specificity of 88%.