BRIDGES, Breast Cancer Risk after Diagnostic Gene Sequencing, HORIZON2020

Impact ◽  
2020 ◽  
Vol 2020 (7) ◽  
pp. 12-15
Author(s):  
Peter Devilee ◽  
Marjanka Schmidt
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Gene Panel ◽  
Prophylactic Surgery ◽  
Panel Testing ◽  
Cancer Susceptibility Genes ◽  
Risk Estimates ◽  
Gene Panel Testing

"Breast cancer affects more than 360,000 women per year in the EU and causes more than 90,000 deaths. Identification of women at high risk of the disease can lead to early detection or disease prevention through intensive screening, therapeutic and/or lifestyle preventive measures, or prophylactic surgery. Breast cancer risk is determined by a combination of genetic and lifestyle risk factors. The advent of next generation sequencing has opened the opportunity for testing in many disease genes, and diagnostic gene panel testing is being introduced in many EU countries. However, the cancer risks associated with most variants in most genes are unknown. This leads to a major problem in appropriate counselling and management of women undergoing panel testing. The BRIDGES and B-CAST projects are jointly building a knowledge base that will allow identification of women at high-risk of specific subtypes of breast cancer, through comprehensive evaluation of DNA variants in known and suspected breast cancer genes. The effort exploits the huge resources established through the Breast Cancer Association Consortium (BCAC) and ENIGMA (Evidence-based Network for the Interpretation of Germline Mutant Alleles). Existing datasets will be expanded by sequencing all known breast cancer susceptibility genes in >100,000 breast cancer cases and controls from population-based studies. Risk factor and tumour genome data have been collected for 10,000 cases. Jointly, the data will allow us to generate a comprehensive risk model with unprecedented discriminative power, that can provide personalised risk estimates. We will develop online tools to aid the interpretation of gene variants and provide risk estimates in a user-friendly format, to help genetic counsellors and patients worldwide to make informed clinical decisions for risk management. We will evaluate the acceptability and utility of comprehensive gene panel testing in the clinical genetics context."

scholarly journals No evidence that protein truncating variants inBRIP1are associated with breast cancer risk: implications for gene panel testing

2016 ◽  
Vol 53 (5) ◽  
pp. 298-309 ◽  
Author(s):  
Douglas F Easton ◽  
Fabienne Lesueur ◽  
Brennan Decker ◽  
Kyriaki Michailidou ◽  
Jun Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Gene Panel ◽  
Panel Testing ◽  
Gene Panel Testing

scholarly journals Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Melissa C. Southey ◽  
James G. Dowty ◽  
Moeen Riaz ◽  
Jason A. Steen ◽  
Anne-Laure Renault ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Population Based ◽  
Cancer Predisposition ◽  
Gene Panel ◽  
Breast Cancer Predisposition ◽  
Panel Testing ◽  
Pathogenic Variants ◽  
Gene Panel Testing

AbstractPopulation-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Most prior research has been based on women selected for high-risk features and more data is needed to make inference about breast cancer risk for women unselected for family history, an important consideration of population screening. We tested 1464 women diagnosed with breast cancer and 862 age-matched controls participating in the Australian Breast Cancer Family Study (ABCFS), and 6549 healthy, older Australian women enroled in the ASPirin in Reducing Events in the Elderly (ASPREE) study for rare germline variants using a 24-gene-panel. Odds ratios (ORs) were estimated using unconditional logistic regression adjusted for age and other potential confounders. We identified pathogenic variants in 11.1% of the ABCFS cases, 3.7% of the ABCFS controls and 2.2% of the ASPREE (control) participants. The estimated breast cancer OR [95% confidence interval] was 5.3 [2.1–16.2] for BRCA1, 4.0 [1.9–9.1] for BRCA2, 3.4 [1.4–8.4] for ATM and 4.3 [1.0–17.0] for PALB2. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.

scholarly journals Detection of Germline Mutations in a Cohort of 139 Patients with Bilateral Breast Cancer by Multi-Gene Panel Testing: Impact of Pathogenic Variants in Other Genes beyond BRCA1/2

Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2415 ◽  
Author(s):  
Daniele Fanale ◽  
Lorena Incorvaia ◽  
Clarissa Filorizzo ◽  
Marco Bono ◽  
Alessia Fiorino ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Susceptibility ◽  
Bilateral Breast Cancer ◽  
Significant Proportion ◽  
Susceptibility Genes ◽  
Gene Panel ◽  
Panel Testing ◽  
Cancer Susceptibility Genes ◽  
Gene Panel Testing ◽  
Increased Risk

Patients with unilateral breast cancer (UBC) have an increased risk of developing bilateral breast cancer (BBC). The annual risk of contralateral BC is about 0.5%, but increases by up to 3% in BRCA1 or BRCA2 pathogenic variant (PV) carriers. Our study was aimed to evaluate whether all BBC patients should be offered multi-gene panel testing, regardless their cancer family history and age at diagnosis. We retrospectively collected all clinical information of 139 BBC patients genetically tested for germline PVs in different cancer susceptibility genes by NGS-based multi-gene panel testing. Our investigation revealed that 52 (37.4%) out of 139 BBC patients harbored germline PVs in high- and intermediate-penetrance breast cancer (BC) susceptibility genes including BRCA1, BRCA2, PTEN, PALB2, CHEK2, ATM, RAD51C. Nineteen out of 53 positively tested patients harbored a PV in a known BC susceptibility gene (no-BRCA). Interestingly, in the absence of an analysis performed via multi-gene panel, a significant proportion (14.4%) of PVs would have been lost. Therefore, offering a NGS-based multi-gene panel testing to all BBC patients may significantly increase the detection rates of germline PVs in other cancer susceptibility genes beyond BRCA1/2, avoiding underestimation of the number of individuals affected by a hereditary tumor syndrome.

Detection of Inherited Mutations in Brazilian Breast Cancer Patients Using Multi-Gene panel Testing

2021 ◽  
Author(s):  
Rodrigo Santa Cruz Guindalini ◽  
Danilo Vilela Viana ◽  
João Paulo Fumio Whitaker Kitajima ◽  
Vinícius Marques Rocha ◽  
Rossana Verónica Mendoza López ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Latin American ◽  
Cancer Susceptibility ◽  
Gene Panel ◽  
Breast Cancer Patients ◽  
Panel Testing ◽  
Pathogenic Variants ◽  
Cancer Susceptibility Genes ◽  
Gene Panel Testing ◽  
Predisposition Genes

Abstract Genetic diversity of germline variants in breast cancer (BC) predisposition genes, is unexplored in miscegenated people, such as Latin American populations. We evaluated 1,662 Brazilian BC patients, who underwent hereditary multi-gene panel testing (20–38 cancer susceptibility genes), to determine the spectrum and prevalence of (likely) pathogenic variants (P/LP) and variants of uncertain significance (VUS). In total, 161 (9.7%) participants carried germline P/LP variants in BRCA1/2 and 162 (9.7%) in other cancer predisposition genes. Overall, 341 distinctive P/LP variants were identified in 22 genes, including BRCA1(28%), BRCA2(19%), TP53(11%), MUTYH heterozygous (10%), ATM(9%), CHEK2(6%), and PALB2(5%). The Brazilian variant TP53 R337H (c.1010G > A, p.Arg337His), detected in 1.6% of BC patients and 0.09% of reference controls (RC), was strongly associated with odds of disease (OR = 17.67; 95%CI:9.21–34.76; p < 0.001). Heterozygous MUTYH c.1187G > A and MUTYH c.536A > G, detected in 0.78% (0.90% RC) and 0.48% (0.40% RC) of the patients, respectively, were not associated with the odds of BC, the former with OR = 0.87 (95%CI:0.49–1.53; p = 0.63) and the latter with OR = 1.20 (95%CI:0.58–2.49; p = 0.63). Besides, 766 individuals (46.1%) had 1 or more VUS. Concluding, the use of multi-gene panel testing doubled the identification of mutation carriers in Brazilian BC patients. Special attention should be given to TP53 mutations.

scholarly journals Extended gene panel testing in lobular breast cancer

2021 ◽  
Author(s):  
Elke M. van Veen ◽  
D. Gareth Evans ◽  
Elaine F. Harkness ◽  
Helen J. Byers ◽  
Jamie M. Ellingford ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Genetic Testing ◽  
Detection Rate ◽  
Gene Panel ◽  
Lobular Breast Cancer ◽  
Germline Variants ◽  
Panel Testing ◽  
Pathogenic Variants ◽  
Gene Panel Testing ◽  
Increased Risk

AbstractPurpose: Lobular breast cancer (LBC) accounts for ~ 15% of breast cancer. Here, we studied the frequency of pathogenic germline variants (PGVs) in an extended panel of genes in women affected with LBC. Methods: 302 women with LBC and 1567 without breast cancer were tested for BRCA1/2 PGVs. A subset of 134 LBC affected women who tested negative for BRCA1/2 PGVs underwent extended screening, including: ATM, CDH1, CHEK2, NBN, PALB2, PTEN, RAD50, RAD51D, and TP53.Results: 35 PGVs were identified in the group with LBC, of which 22 were in BRCA1/2. Ten actionable PGVs were identified in additional genes (ATM(4), CDH1(1), CHEK2(1), PALB2(2) and TP53(2)). Overall, PGVs in three genes conferred a significant increased risk for LBC. Odds ratios (ORs) were: BRCA1: OR = 13.17 (95%CI 2.83–66.38; P = 0.0017), BRCA2: OR = 10.33 (95%CI 4.58–23.95; P < 0.0001); and ATM: OR = 8.01 (95%CI 2.52–29.92; P = 0.0053). We did not detect an increased risk of LBC for PALB2, CDH1 or CHEK2. Conclusion: The overall PGV detection rate was 11.59%, with similar rates of BRCA1/2 (7.28%) PGVs as for other actionable PGVs (7.46%), indicating a benefit for extended panel genetic testing in LBC. We also report a previously unrecognised association of pathogenic variants in ATM with LBC.

scholarly journals Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk

2015 ◽  
Vol 372 (23) ◽  
pp. 2243-2257 ◽  
Author(s):  
Douglas F. Easton ◽  
Paul D.P. Pharoah ◽  
Antonis C. Antoniou ◽  
Marc Tischkowitz ◽  
Sean V. Tavtigian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Gene Panel ◽  
Gene Panel Sequencing ◽  
Panel Sequencing
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