Genomic rearrangements in BRCA1 and BRCA2: A literature review

Women with mutations in the breast cancer genes BRCA1 or BRCA2 have an increased lifetime risk of developing breast, ovarian and other BRCA-associated cancers. However, the number of detected germline mutations in families with hereditary breast and ovarian cancer (HBOC) syndrome is lower than expected based upon genetic linkage data. Undetected deleterious mutations in the BRCA genes in some high-risk families are due to the presence of intragenic rearrangements such as deletions, duplications or insertions that span whole exons. This article reviews the molecular aspects of BRCA1 and BRCA2 rearrangements and their frequency among different populations. An overview of the techniques used to screen for large rearrangements in BRCA1 and BRCA2 is also presented. The detection of rearrangements in BRCA genes, especially BRCA1, offers a promising outlook for mutation screening in clinical practice, particularly in HBOC families that test negative for a germline mutation assessed by traditional methods.     

The Contribution of Germline BRCA1 and BRCA2 Mutations to Familial Ovarian Cancer: No Evidence for Other Ovarian Cancer–Susceptibility Genes

To establish the contribution of germline BRCA1 and BRCA2 mutations to familial ovarian cancer, we have analyzed both genes in DNA samples obtained from an affected individual in each of 112 families containing at least two cases of epithelial ovarian cancer. Germline mutations were found in 43% of the families; BRCA1 mutations were approximately four times more common than BRCA2 mutations. The extent of family history of ovarian and breast cancers was strongly predictive of BRCA1-mutation status. Segregation analysis suggests that a combination of chance clustering of sporadic cases and insensitivity of mutation detection may account for the remaining families; however, the contribution of other genes cannot be excluded. We discuss the implications for genetic testing and clinical management of familial ovarian cancer arising from the data presented in these studies.     

Detection of mutations in human DNA

Efficient methods for the detection of mutations are of fundamental importance in research and in diagnostics. By detection of a DNA sequence alteration that cosegregates with a clinical phenotype in an affected family, the gene at fault may be identified and assigned a function. Mutation detection methods are also a rate-limiting factor for the clinical application of DNA diagnostics. Currently a large number of techniques are in use to scan for new mutations and to distinguish among previously established sequence variants. Here, some of the problems connected with mutation detection are discussed together with principles on which current and future mutation detection assays can be based.     

Detection of eight BRCA1 mutations in 10 breast/ovarian cancer families, including 1 family with male breast cancer.

Genetic epidemiological evidence suggests that mutations in BRCA1 may be responsible for approximately one half of early onset familial breast cancer and the majority of familial breast/ovarian cancer. The recent cloning of BRCA1 allows for the direct detection of mutations, but the feasibility of presymptomatic screening for cancer susceptibility is unknown. We analyzed genomic DNA from one affected individual from each of 24 families with at least three cases of ovarian or breast cancer, using SSCP assays. Variant SSCP bands were subcloned and sequenced. Allele-specific oligonucleotide hybridization was used to verify sequence changes and to screen DNA from control individuals. Six frameshift and two missense mutations were detected in 10 different families. A frameshift mutation was detected in a male proband affected with both breast and prostate cancer. A 40-bp deletion was detected in a patient who developed intra-abdominal carcinomatosis 1 year after prophylactic oophorectomy. Mutations were detected throughout the gene, and only one was detected in more than a single family. These results provide further evidence that inherited breast and ovarian cancer can occur as a consequence of a wide array of BRCA1 mutations. These results suggests that development of a screening test for BRCA1 mutations will be technically challenging. The finding of a mutation in a family with male breast cancer, not previously thought to be related to BRCA1, also illustrates the potential difficulties of genetic counseling for individuals known to carry mutations.     

Genetic counselling and testing for susceptibility to breast,ovarian and colon cancer: where are we today?

Recent advances in our understanding of the genetic characteristics of cancer will change approaches to genetic screening and counselling. Cancer results from multiple, cumulative mutations in genes that regulate cell replication and differentiation. In familial cancer a germ-line mutation is passed on in an autosomal dominant pattern, but cancer will develop in people who inherit the defect only if other mutations also occur in susceptible somatic cells. The tumour-suppressor gene known as BRCA1 is thought to affect half of those families who have an inherited breast cancer syndrome and most families with a breast and ovarian cancer syndrome. Another gene, BRCA2, is thought to affect most of the remaining families with a breast-cancer-only syndrome. Hereditary nonpolyposis colon cancer (HNPCC) is caused by mutations in surveillance genes that protect DNA from the spontaneous errors that occur during cell division. Because there are no outcome data on which to base practice guidelines for genetic screening or management of asymptomatic carriers in families at risk, testing should be restricted to research settings.     

Molecular analysis of the eighteen most frequent mutations in the BRCA1 gene in 63 Chilean breast cancer families

BRCA1 gene mutations account for nearly all families with multiple cases of both early onset breast and/or ovarian cancer and about 30% of hereditary breast cancer. Although to date more than 1,237 distinct mutations, polymorphisms, and variants have been described, several mutations have been found to be recurrent in this gene. We have analyzed 63 Chilean breast/ovarian cancer families for eighteen frequent BRCA1 mutations. The analysis of the five exons and two introns in which these mutations are located was made using mismatch PCR assay, ASO hybridization assay, restriction fragment analysis, allele specific PCR assay and direct sequentiation techniques. Two BRCA1 mutations (185delAG and C61G) and one variant of unknown significance (E1250K) were found in four of these families. Also, a new mutation (4185delCAAG) and one previously described polymorphism (E1038G) were found in two other families. The 185delAG was found in a 3.17% of the families and the others were present only in one of the families of this cohort. Therefore these mutations are not prominent in the Chilean population. The variant of unknown significance and the polymorphism detected could represent a founder effect of Spanish origin.     

Multiple mutations of the p53 gene in human mammary carcinoma

Alteration of the p53 tumor suppressor gene is the most common genetic abnormality in human cancer. In breast cancer, depending on the stage of disease and method of detection, mutation rates of 25-60% have been observed. Multiple mutations of p53 gene in the same tumor however, are rarely reported. In this study we explored the frequency of multiple mutations of p53 gene in mammary carcinoma in a cohort of south Florida patients. Three hundred eighty-four cases of primary breast cancer diagnosed between 1984 and 1986 at the University of Miami, Jackson Medical Center were subjects of this study. Sequence analysis of exons 5 through 8 of p53 was performed on cloned PCR-amplified DNA of formalin-fixed, paraffin-embedded tumors. Two hundred thirty-four of 384 breast cancers (61%) had p53 mutation. Of those, 36 tumors showed more than one mutation; 31 tumors had two mutations, three showed three, one tumor had five mutations, and one case carried six mutations. The majority of mutations were missense (43) followed by silent (35); and most occurred within a single exon. Our study suggests that multiple mutations of p53 suppressor gene in breast cancer are more common than currently believed.     

Single-strand conformation polymorphism analysis by capillary and microchip electrophoresis: a fast, simple method for detection of common mutations in BRCA1 and BRCA2

As a result of intensive studies on hereditary breast and ovarian cancers, two breast cancer susceptibility genes, BRCA1 and BRCA2, have been identified. In each gene, a small number of specific mutations have been found at relatively high frequency in certain ethnic populations. The mutations, 185delAG and 5382insC in BRCA1 and 6174delT in BRCA2, have been identified as common mutations in the Ashkenazi Jewish population, with a combined frequency of 2.0 to 2.5%. Women who have one of the above three common mutations are at a high risk of developing breast or ovarian cancer. Consequently, accurate and cost-effective detection of these three mutations may have important implications for risk assessment in susceptible women and men. In this report, we describe a fast and simple capillary electrophoresis (CE)-based method using a polymer network for screening the three common mutations in BRCA1 and BRCA2. Fluorescent dye-labeled primers (6-FAM-tagged) were used to amplify three DNA fragments of 258, 296, and 201 bp for detection of the 185delAG, 5382insC, and 6174delT mutations, respectively. After the PCR products were denatured, a single-strand conformation polymorphism (SSCP) profile could be obtained for each mutation in less than 10 min by CE in a polymer network. We demonstrate the potential provided by translating this assay to the microchip format where the SSCP analysis is complete in 120 s, representing only a fraction of the reduction in analysis time that can be achieved with microchip technology. The speed and simplicity of the SSCP methodology for detection of these mutations make it attractive for use in the clinical diagnostic laboratory.     

Founder BRCA1 and BRCA2 mutations in French Canadian breast and ovarian cancer families.

We have identified four mutations in each of the breast cancer-susceptibility genes, BRCA1 and BRCA2, in French Canadian breast cancer and breast/ovarian cancer families from Quebec. To identify founder effects, we examined independently ascertained French Canadian cancer families for the distribution of these eight mutations. Mutations were found in 41 of 97 families. Six of eight mutations were observed at least twice. The BRCA1 C4446T mutation was the most common mutation found, followed by the BRCA2 8765delAG mutation. Together, these mutations were found in 28 of 41 families identified to have a mutation. The odds of detection of any of the four BRCA1 mutations was 18.7x greater if one or more cases of ovarian cancer were also present in the family. The odds of detection of any of the four BRCA2 mutations was 5.3x greater if there were at least five cases of breast cancer in the family. Interestingly, the presence of a breast cancer case <36 years of age was strongly predictive of the presence of any of the eight mutations screened. Carriers of the same mutation, from different families, shared similar haplotypes, indicating that the mutant alleles were likely to be identical by descent for a mutation in the founder population. The identification of common BRCA1 and BRCA2 mutations will facilitate carrier detection in French Canadian breast cancer and breast/ovarian cancer families.     

BRCA2 gene mutations in Slovenian male breast cancer patients

Male breast cancer (MBC) is a rare disease, comprising less than 1% of breast cancer patients in Slovenia. Some inherited cases are due to the mutations of BRCA1 or BRCA2 genes. There is no information available about the frequency of BRCA gene mutations in Slovenian MBC population. The purpose of this study was to characterize BRCA germline mutations in Slovenian MBC patients. Forty-one patients who were diagnosed with breast cancer at the Institute of Oncology Ljubljana between 1970 and 2006 were proposed to take part in this study. Of them, 27 agreed to follow a genetic counseling session and 25 patients agreed to provide a blood sample for genetic testing. The BRCA1 and BRCA2 genes from the MBC patients were screened for four highly recurrent mutations in the Slovenian population. When an additional breast cancer case or an ovarian cancer was present in the family, a more extended analysis was performed. No BRCA1 mutations were found. A BRCA2 gene mutation was identified in four MBC patients. Three of them carried the Slovenian founder mutation IVS16-2A>G. All four mutations were confined to the patients with a family history of breast cancer. Among the MBC patients with a family history of breast cancer in the first- or second-degree relatives, the frequency of BRCA2 gene mutation was 50%. The median age of the patients with a BRCA2 gene mutation was 60 years, not significantly different from those without a mutation. The BRCA2 mutations were diagnosed in 16% of our MBC patients.     

Identification of Constrained Cancer Driver Genes Based on Mutation Timing

Cancer drivers are genomic alterations that provide cells containing them with a selective advantage over their local competitors, whereas neutral passengers do not change the somatic fitness of cells. Cancer-driving mutations are usually discriminated from passenger mutations by their higher degree of recurrence in tumor samples. However, there is increasing evidence that many additional driver mutations may exist that occur at very low frequencies among tumors. This observation has prompted alternative methods for driver detection, including finding groups of mutually exclusive mutations and incorporating prior biological knowledge about gene function or network structure. Dependencies among drivers due to epistatic interactions can also result in low mutation frequencies, but this effect has been ignored in driver detection so far. Here, we present a new computational approach for identifying genomic alterations that occur at low frequencies because they depend on other events. Unlike passengers, these constrained mutations display punctuated patterns of occurrence in time. We test this driver–passenger discrimination approach based on mutation timing in extensive simulation studies, and we apply it to cross-sectional copy number alteration (CNA) data from ovarian cancer, CNA and single-nucleotide variant (SNV) data from breast tumors and SNV data from colorectal cancer. Among the top ranked predicted drivers, we find low-frequency genes that have already been shown to be involved in carcinogenesis, as well as many new candidate drivers. The mutation timing approach is orthogonal and complementary to existing driver prediction methods. It will help identifying from cancer genome data the alterations that drive tumor progression.     

BRCA1 and BRCA2 mutation analysis of 208 Ashkenazi Jewish women with ovarian cancer

Ovarian cancer is a component of the autosomal-dominant hereditary breast-ovarian cancer syndrome and may be due to a mutation in either the BRCA1 or BRCA2 genes. Two mutations in BRCA1 (185delAG and 5382insC) and one mutation in BRCA2 (6174delT) are common in the Ashkenazi Jewish population. One of these three mutations is present in approximately 2% of the Jewish population. Each mutation is associated with an increased risk of ovarian cancer, and it is expected that a significant proportion of Jewish women with ovarian cancer will carry one of these mutations. To estimate the proportion of ovarian cancers attributable to founding mutations in BRCA1 and BRCA2 in the Jewish population and the familial cancer risks associated with each, we interviewed 213 Jewish women with ovarian cancer at 11 medical centers in North America and Israel and offered these women genetic testing for the three founder mutations. To establish the presence of nonfounder mutations in this population, we also completed the protein-truncation test on exon 11 of BRCA1 and exons 10 and 11 of BRCA2. We obtained a detailed family history on all women we studied who had cancer and on a control population of 386 Ashkenazi Jewish women without ovarian or breast cancer. A founder mutation was present in 41.3% of the women we studied. The cumulative incidence of ovarian cancer to age 75 years was found to be 6.3% for female first-degree relatives of the patients with ovarian cancer, compared with 2.0% for the female relatives of healthy controls (relative risk 3.2; 95% CI 1.5-6.8; P=.002). The relative risk to age 75 years for breast cancer among the female first-degree relatives was 2.0 (95% CI 1.4-3.0; P=.0001). Only one nonfounder mutation was identified (in this instance, in a woman of mixed ancestry), and the three founding mutations accounted for most of the observed excess risk of ovarian and breast cancer in relatives.     

A computer model to simulate family history of breast/ovarian cancer in BRCA1 mutation carriers

The BRCA1 gene and its relationship to family history of breast/ovarian cancer are difficult to study in a population because of practical and ethical issues. The paucity of information on BRCA1 in the general population was a major theme in a recent review of genetic testing in Canada. We develop a simulation model to mimic genetic inheritance and cancer incidence in the family of someone with a germline BRCA1 mutation. Given someone's age and family structure, our model simulates his or her family history in three steps: (1) determine which family members have the mutation, (2) determine the ages of family members and (3) determine which family members have breast/ovarian cancer. Each step involves random variation. Some parameters in our model are estimated using local (British Columbia, Canada) population data. The breast/ovarian cancer risk associated with BRCA1 mutations is estimated using values published in the literature. An example is provided to illustrate the model's application. The model incorporates results from genetics, demography and epidemiology, but requires several additional assumptions. Research to address these assumptions is recommended.     

Screening for genomic rearrangements in families with breast and ovarian cancer identifies BRCA1 mutations previously missed by conformation-sensitive gel electrophoresis or sequencing

The frequency of genomic rearrangements in BRCA1 was assessed in 42 American families with breast and ovarian cancer who were seeking genetic testing and who were subsequently found to be negative for BRCA1 and BRCA2 coding-region mutations. An affected individual from each family was tested by PCR for the exon 13 duplication (Puget et al. 1999a) and by Southern blot analysis for novel genomic rearrangements. The exon 13 duplication was detected in one family, and four families had other genomic rearrangements. A total of 5 (11. 9%) of the 42 families with breast/ovarian cancer who did not have BRCA1 and BRCA2 coding-region mutations had mutations in BRCA1 that were missed by conformation-sensitive gel electrophoresis or sequencing. Four of five families with BRCA1 genomic rearrangements included at least one individual with both breast and ovarian cancer; therefore, 4 (30.8%) of 13 families with a case of multiple primary breast and ovarian cancer had a genomic rearrangement in BRCA1. Families with genomic rearrangements had prior probabilities of having a BRCA1 mutation, ranging from 33% to 97% (mean 70%) (Couch et al. 1997). In contrast, in families without rearrangements, prior probabilities of having a BRCA1 mutation ranged from 7% to 92% (mean 37%). Thus, the prior probability of detecting a BRCA1 mutation may be a useful predictor when considering the use of Southern blot analysis for families with breast/ovarian cancer who do not have detectable coding-region mutations.     

Penetrances of BRCA1 1675delA and 1135insA with respect to breast cancer and ovarian cancer.

For genetic counseling and predictive testing in families with inherited breast-ovarian cancer, penetrances and expressions of the underlying mutations should be known. We have previously reported two BRCA1 founder mutations in the Norwegian population. Index cases for the present study were found two different ways: through a series of consecutive ovarian cancers (n=16) and through our family cancer clinic (n=14). Altogether, 20 of the patients had BRCA1 1675delA, and 10 had 1135insA. Their relatives were described with respect to absence/presence of breast and/or ovarian cancer. Of 133 living female relatives, 83 (62%) were tested for the presence of a mutation. No difference, in penetrance and expression, between the two mutations were found, whereas differences according to method of ascertainment were seen. The overall findings were that disease started to occur at age 30 years and that by age 50 years 48% of the mutation-carrying women had experienced breast and/or ovarian cancer. More ovarian cancers than breast cancers were recorded. Both penetrance and expression (breast cancer vs. ovarian cancer) were different from those in reports of the Ashkenazi founder mutations. Whether the reported differences reflect true differences and/or methodological problems is discussed. An observed excess of mutation carriers could not be accounted for by methodological problems; possible explanations were a "true" low penetrance or preferential segregation.     

TILLING,high-resolution melting (HRM), and next-generation sequencing (NGS) techniques in plant mutation breeding

Induced mutations have been used effectively for plant improvement. Physical and chemical mutagens induce a high frequency of genome variation. Recently, developed screening methods have allowed the detection of single nucleotide polymorphisms (SNPs) and the identification of traits that are difficult to identify at the molecular level by conventional breeding. With the assistance of reverse genetic techniques, sequence variation information can be linked to traits to investigate gene function. Targeting induced local lesions in genomes (TILLING) is a high-throughput technique to identify single nucleotide mutations in a specific region of a gene of interest with a powerful detection method resulted from chemical-induced mutagenesis. The main advantage of TILLING as a reverse genetics strategy is that it can be applied to any species, regardless of genome size and ploidy level. However, TILLING requires laborious and time-consuming steps, and a lack of complete genome sequence information for many crop species has slowed the development of suitable TILLING targets. Another method, high-resolution melting (HRM), which has assisted TILLING in mutation detection, is faster, simpler and less expensive with non-enzymatic screening system. Currently, the sequencing of crop genomes has completely changed our vision and interpretation of genome organization and evolution. Impressive progress in next-generation sequencing (NGS) technologies has paved the way for the detection and exploitation of genetic variation in a given DNA or RNA molecule. This review discusses the applications of TILLING in combination with HRM and NGS technologies for screening of induced mutations and discovering SNPs in mutation breeding programs.     

Evaluation of DHPLC in the analysis of hemophilia A

The manifestation of hemophilia A, a common hereditary bleeding disorder in humans, is caused by abnormalities in the factor VIII (FVIII) gene. A wide range of different mutations has been identified and provides the genetic basis for the extensive variability observed in the clinical phenotype. The knowledge of a specific mutation is of great interest as this may facilitate genetic counseling and prediction of the risk of anti-FVIII antibody development, the most serious complication in hemophilia A treatment to date. Due to its considerable size (7.2 kb of the coding sequence, represented by 26 exons), mutation detection in this gene represents a challenge that is only partially met by conventional screening methods such as denaturing gradient gel electrophoresis (DGGE) or single stranded conformational polymorphism (SSCP). These techniques are time consuming, require specific expertise and are limited to detection rates of 70-85%. In contrast, the recently introduced denaturing high performance liquid chromatography (dHPLC) offers a promising new method for a fast and sensitive analysis of PCR-amplified DNA fragments. To test the applicability of dHPLC in the molecular diagnosis of hemophilia A, we first assessed a cohort of 156 patients with previously identified mutations in the FVIII gene. Applying empirically determined exon-specific melting profiles, a total of 150 mutations (96.2%) were readily detected. Five mutations (3.2%) could be identified after temperatures were optimized for the specific nucleotide change. One mutation (0.6%) failed to produce a detectable heteroduplex signal. In a second series, we analyzed 27 hemophiliacs in whom the mutation was not identified after extensive DGGE and chemical mismatch cleavage (CMC) analysis. In 19 of these patients (70.4%), dHPLC facilitated the detection of the disease-associated nucleotide alterations. From these findings we conclude that the dHPLC technology is a highly sensitive method well suited to the molecular analysis of hemophilia A.     

Detection of K-ras and p53 mutations in sputum samples of lung cancer patients using laser capture microdissection microscope and mutation analysis

Mutations in the p53 tumor suppressor gene and the K-ras oncogene have been frequently found in sputum and bronchoalveolar lavage (BAL) samples of lung cancer patients and other patients prior to presenting clinical symptoms of lung cancer, suggesting that they may provide useful biomarkers for early lung cancer diagnosis. However, the detection of these gene mutations in sputum and BAL samples has been complicated by the fact that they often occur in only a small fraction of epithelial cells among sputum cells and, in the case of p53 gene, at many codons. In this study, sputum cells were collected on a filter membrane by sputum cytocentrifugation and morphologically analyzed. Epithelial cells were selectively taken by using a laser capture microdissection microscope and analyzed by polymerase chain reaction (PCR) and single-stranded conformational polymorphism (SSCP) for p53 mutations and by PCR and denaturing gradient gel electrophoresis (DGGE) for K-ras mutations. This method was used to analyze sputum of 15 Chinese women with lung cancer from Xuan Wei County, China and detected mutations in sputum of 7 (46.7%) patients, including 5 patients with p53 mutations, 1 patient with a K-ras mutation, and 1 patient with K-ras and p53 mutations. For comparison, only two of the mutations were detected by conventional methods. Therefore, the laser capture/mutation analysis method is sensitive and facilitates the detection of low-fraction mutations occurring throughout the p53 and K-ras genes in sputum of lung cancer patients. This method may be applicable to the analysis of epithelial cells from clinically normal sputum or BAL samples from individuals with a high risk for developing lung cancer.