Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Breast Neoplasms
  • Genes, BRCA1
  • Genes, BRCA2
  • Genes, PALB2
  • Ovarian Neoplasms
Type
Interventional
Phase
Not Applicable
Design
Allocation: N/AIntervention Model: Single Group AssignmentMasking: None (Open Label)Primary Purpose: Diagnostic

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

The BRCA1 and BRCA2 genes are the two major high-risk breast and/or ovarian cancer susceptibility genes. Monoallelic germline mutations that disrupt their normal gene function significantly increase the risk of developing cancer in carriers. The identification of a causal mutation in a proband allow...

The BRCA1 and BRCA2 genes are the two major high-risk breast and/or ovarian cancer susceptibility genes. Monoallelic germline mutations that disrupt their normal gene function significantly increase the risk of developing cancer in carriers. The identification of a causal mutation in a proband allows proposing pre-symptomatic testing for the causal mutation to all at-risk relatives. Currently, a causal mutation, used for genetic counseling, is presented in approximatively 13% of families tested. Variants of unknown biological significance (VUS) are detected in more than 20% of proband tested. For the families of these probands, genetic testing could not be proposed to relatives and the genetic counseling is guided by family history and epidemiological knowledges exclusively. The French UMD-BRCA1/2 database, accredited by the French National Cancer Institute, collects anonymous results of genetic tests performed by authorized French laboratories since 1995, giving a real-time vision of families carrying the same VUS. In september 2011, the French UMD-BRCA1/2 database comprised 706 different variants in 1,300 BRCA1 families and 1,089 different variants in 2,101 BRCA2 families. One of the key measurable parameters for classification of VUS as causal mutations is their co-segregation with the disease. As the average size of French families is relatively small, the information of variant co-segregation limited to one family would not be significant. However, the compilation of co-segregation results obtained from several families will allow to obtain more precise and complete estimations of the probability of causality of a given variant. For PALB2, the gene was discovered in 2006. This PALB2 gene has been identified as a predisposition factor to breast cancer by a candidate gene approach. In a first step, the protein encoded by this PALB2 gene (PArtner and Localizer of BRCA2) was identified by a co-immunoprecipitation approach of BRCA2 and its different partners (Foulkes et al., 2007; Rahman et al., 2007). Xia et al., 2006). The association studies showed that monoallelic inactivating variants were more common in women with breast cancer group compared to the control group. A large study of 362 cases in eight countries confirmed the position of PALB2 (Antoniou et al., 2014). The risk of ovarian cancer is likely but not yet proven. This gene has been used for diagnosis in France since July 2015. The data collection is ongoing and the database under construction. The objective of the COVAR study (COsegregation VARiants) is to organize co-segregation studies of the VUS of the database UMD-BRCA1/2, in order to determine the causal or non-causal nature of these variants. To organize the variants by their clinical relevance, a grid with 5 classes has been used: 1=neutral, 2=likely neutral, 3=VUS, 4=likely causal, 5=causal. The VUS of classes 3 and 4 will be candidates to co-segregation studies because they cannot be used for the genetic counseling. In the selected families the index case will invite the family members (affected and unaffected) to provide a sample of salivary fluid to test the presence of the VUS. The probability that a VUS is causal will be calculated from the cosegregation data using a Bayesian model. The results will be integrated in the multifactorial model described by D. Goldgar, model integrating different parameters as amino acid conservation, structural impact of the variant, co-occurrence with a pathogenic mutation, family history and tumor characteristics.

Tracking Information

NCT #
NCT01689584
Collaborators
Not Provided
Investigators
Study Chair: Dominique STOPPA-LYONNET, PU-PH Institut Curie Study Director: Sandrine CAPUTO, PhD Institut Curie