Numerous genetic factors that influence breast cancer risk are known. However, approximately two-thirds of the overall familial risk remain unexplained. To determine whether some of the missing heritability is due to rare variants conferring high to moderate risk, we tested for an association between the c.5791C>T nonsense mutation (p.Arg1931*; rs144567652) in exon 22 of FANCM gene and breast cancer. An analysis of genotyping data from 8635 familial breast cancer cases and 6625 controls from different countries yielded an association between the c.5791C>T mutation and breast cancer risk [odds ratio (OR) = 3.93 (95% confidence interval (CI) = 1.28-12.11; P = 0.017)]. Moreover, we performed two meta-analyses of studies from countries with carriers in both cases and controls and of all available data. These analyses showed breast cancer associations with OR = 3.67 (95% CI = 1.04-12.87; P = 0.043) and OR = 3.33 (95% CI = 1.09-13.62; P = 0.032), respectively. Based on information theory-based prediction, we established that the mutation caused an out-of-frame deletion of exon 22, due to the creation of a binding site for the pre-mRNA processing protein hnRNP A1. Furthermore, genetic complementation analyses showed that the mutation influenced the DNA repair activity of the FANCM protein. In summary, we provide evidence for the first time showing that the common p.Arg1931* loss-of-function variant in FANCM is a risk factor for familial breast cancer.
An increasing body of evidence points to a possible role of microRNAs (miRNAs) in hereditary cancer syndromes. To evaluate the role of miRNA allelic variants in the susceptibility to familial breast and ovarian cancers in BRCA1/BRCA2-negative patients, we focused our attention on three miRNAs, miR-146a, miR-17 and miR-369, based on their affinity to either BRCA1 or BRCA2 messenger RNA and their localization on chromosome regions commonly deleted in those tumors. The analysis was performed on 101 Italian probands with ascertained familiarity for breast/ovarian cancer and tested negative for both BRCA1 and BRCA2 gene mutations. No allelic variant was detected for hsa-mir-17 and hsa-mir-369, and allelic and genotype frequencies for miR-146a rs2910164 single-nucleotide polymorphism (SNP) were comparable with that of 155 controls from the same population, ruling out a role for genetic variations in these three miRNAs as major determinants in cancer predisposition of BRCA1/BRCA2-negative patients. Instead, our study suggests that mir-146a rs2910164 SNP may impact on the age of cancer onset. In fact, subjects with mir-146a a GC or CC genotypes developed tumors at younger age compared with individuals with the GG genotype Thus, in contrast to a recent report, our data support the hypothesis by Shen and coworkers of an association between the C allele of hsa-mir-146a and early cancer onset and prompt further investigations on the relevance of this polymorphism in early familial breast/ovarian tumor development.
The presence of genomic rearrangements of the BRCA1 gene in breast and/or ovarian cancer families has been intensively investigated in patients from various countries over the last years. A number of different rearrangements have been reported by several studies that clearly document the involvement of this mutation type in genetic predisposition to breast and ovarian cancer. Population-specific studies are now needed to evaluate the prevalence of genomic rearrangements before deciding whether to include ad hoc screening procedures into standard diagnostic mutation detection approaches. Indeed, the vast majority of the studies have been performed on small, highly selected, sample sets because of the limitations imposed by the laborious technical approaches. Moreover, prevalence figures are likely to differ across different countries according to the ethnic origin of each specific population. Here we analyze a large cohort of 653 Italian probands, negative for BRCA1 and BRCA2 point mutations, gathered from four National Institutions. We report the identification of BRCA1 genomic rearrangements in 12 independent families. Noteworthy, half of the probands carry mutations that recur in more than one Italian family. Considering the whole spectrum of Italian BRCA1 gene rearrangements identified thus far in consecutive patients, we estimate that alterations of this type account for 19% (95% CI: 0.11 < 0.19 < 0.28) of the BRCA1 mutation positive families. We conclude that the search for major genomic rearrangements is essential for an accurate and comprehensive BRCA1 mutation detection strategy in Italy.
The heritable defects of BRCA1 and BRCA2 genes have been shown to predispose to breast and ovarian cancers. In a previous report, we analyzed 46 Italian families with breast and/or ovarian cancer for BRCA1 mutations. In the present study, those families and 11 others were screened for BRCA2 mutations; the newly enrolled families were also analyzed for the BRCA1 gene. The coding region and splice boundaries of BRCA2 and BRCA1 genes were assessed by the protein‐truncation test and single‐strand conformational polymorphism. A total of 20 different mutations were found in 21 families (37%). A total of 9 families (16%) showed mutations in the BRCA1 gene, including the one new mutation identified in this study (5382insC), and 12 families (21%) presented mutations in the BRCA2 gene. BRCA2‐mutated families presented breast and ovarian cancers or breast cancers only, whereas most BRCA1‐mutated families presented ovarian cancer alone or in association with breast cancer. All the BRCA2 mutations led to a truncated protein: 6 were frameshift mutations, 4 were non‐sense mutations and 2 involved the intronic invariant region leading to splice variants. Therefore, in the Italian population, the cumulative proportion of BRCA1 and BRCA2 mutations was within the range observed in other studies (37%), with higher involvement of BRCA2 than of BRCA1. Many families in which no mutations were found presented a very high incidence of breast and/or ovarian cancer. Among the 36 BRCA1 and BRCA2 wild‐type families, 24 presented at least 4 cancer cases, indicating the existence of other important predisposing genes. Int. J. Cancer 83:5–9, 1999. © 1999 Wiley‐Liss, Inc.
Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8þ) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3 0 region of BRCA2 (c.7914þ) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001c.7913 [HR ¼ 1.78; 95% confidence interval (CI), 1.25-2.52; P ¼ 0.001], as well as elevated risk of Gleason 8þ prostate cancer (HR ¼ 3.11; 95% CI, 1.63-5.95; P ¼ 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR ¼ 2.83; 95% CI, 1.71-4.68; P ¼ 0.00004) and elevated risk of Gleason 8þ prostate cancer (HR ¼ 4.95; 95% CI, 2.12-11.54; P ¼ 0.0002). No genotype-phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer.Significance: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.