Mutation analysis of the SHFM1 gene in breast/ovarian cancer families
ABSTRACT PURPOSE: About 5-10 % of breast cancer is due to inherited disease predisposition. Currently known susceptibility genes such as BRCA1 and BRCA2 explain less than 25 % of familial aggregation of breast cancer, which suggests the involvement of additional genetic susceptibility. The SHFM1 [split hand/foot malformation (ectrodactyly) type 1] gene plays an important role in the regulation of gene transcription and cell proliferation and may be involved in the maintenance of genomic integrity. It is a potential candidate for being involved in heritable cancer susceptibility due to its biological function. The SHFM1 protein binds in mammalian cells to the longest conserved region of the BRCA2 protein and is required for BRCA2 stability and function, making a critical contribution to the BRCA2 function in mediating homologous recombination. Therefore, variants in the SHFM1 gene could affect the BRCA2 functionality and be associated with the familial breast/ovarian carcinogenesis. METHODS: We have screened the entire coding region and splice junctions of SHFM1 in affected index cases from 369 Spanish breast/ovarian cancer families for germ line defects, using direct sequencing. RESULTS: Mutation analysis revealed seven different sequence changes. Based on the in silico analyses of these sequence alterations, as well as their occurrence in cases and controls, none of them, however, were predicted to be pathogenic or associated with cancer susceptibility. CONCLUSIONS: To our knowledge, this is the most comprehensive study reporting the mutation screening of the SHFM1 gene in familial breast/ovarian cancer cases. No evidence for the association with breast/ovarian cancer was observed.
SourceAvailable from: Massimo Bogliolo[Show abstract] [Hide abstract]
ABSTRACT: Recently, it has been reported that biallelic mutations in the ERCC4 (FANCQ) gene cause Fanconi anemia (FA) subtype FA-Q. To investigate the possible role of ERCC4 in breast and ovarian cancer susceptibility, as occurs with other FA genes, we screened the 11 coding exons and exon-intron boundaries of ERCC4 in 1573 index cases from high-risk Spanish familial breast and ovarian cancer pedigrees that had been tested negative for BRCA1 and BRCA2 mutations and 854 controls. The frequency of ERCC4 mutation carriers does not differ between cases and controls, suggesting that ERCC4 is not a cancer susceptibility gene. Interestingly, the prevalence of ERCC4 mutation carriers (one in 288) is similar to that reported for FANCA, whereas there are approximately 100-fold more FA-A than FA-Q patients, indicating that most biallelic combinations of ERCC4 mutations are embryo lethal. Finally, we identified additional bone-fide FA ERCC4 mutations specifically disrupting interstrand cross-link repair. This article is protected by copyright. All rights reserved.Human Mutation 12/2013; 34(12). DOI:10.1002/humu.22438 · 5.05 Impact Factor
[Show abstract] [Hide abstract]
ABSTRACT: About 5-10% of breast cancer is due to inherited disease predisposition. Currently mutations in the BRCA1 and BRCA2 genes explain less than 25% of the familial clustering of breast cancer and additional susceptibility genes are suspected. The BCCIP gene plays an important role in the regulation of gene transcription and cell proliferation and could be involved in the maintenance of genomic integrity. The BCCIP protein binds in mammalian cells to the longest conserved region of the BRCA2 protein and is required for BRCA2 stability and function, making a critical contribution to the function of BRCA2 in mediating homologous recombination. Variants in the BCCIP gene could affect the BRCA2 functionality and be associated to the familial breast/ovarian carcinogenesis. Therefore, BCCIP gene is a potential candidate for being involved in heritable cancer susceptibility. We have screened the entire coding region and splice junctions of BCCIP in affected index cases from 215 Spanish breast/ovarian cancer families for germ line defects, using direct sequencing. Mutation analysis revealed 3 different intronic sequence changes. Conclusions Based on the in silico and in vitro RNA analyses of these sequence alterations, none of them were predicted to be pathogenic or associated with cancer susceptibility. Our results indicate that BCCIP germ line mutations are unlikely to be a major contributor to familial breast/ovarian cancer risk in our population.Gynecologic Oncology 07/2013; 131(2). DOI:10.1016/j.ygyno.2013.07.104 · 3.69 Impact Factor
[Show abstract] [Hide abstract]
ABSTRACT: Identifying candidate disease genes is important to improve medical care. However, this task is challenging in the post-genomic era. Several computational approaches have been proposed to prioritize potential candidate genes relying on protein-protein interaction (PPI) networks. However, the experimental PPI network is usually liable to contain a number of spurious interactions. In this paper, we construct a reliable heterogeneous network by fusing multiple networks, a PPI network reconstructed by topological similarity, a phenotype similarity network and known associations between diseases and genes. We then devise a random walk-based algorithm on the reliable heterogeneous network called RWRHN to prioritize potential candidate genes for inherited diseases. The results of leave-one-out cross-validation experiments show that the RWRHN algorithm has better performance than the RWRH and CIPHER methods in inferring disease genes. Furthermore, RWRHN is used to predict novel causal genes for 16 diseases, including breast cancer, diabetes mellitus type 2, and prostate cancer, as well as to detect disease-related protein complexes. The top predictions are supported by literature evidence.Journal of Biomedical Informatics 11/2014; 53. DOI:10.1016/j.jbi.2014.11.004 · 2.48 Impact Factor