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1 Department of Medical Oncology and 2 Laboratory of Molecular Oncology, Division of Medical Sciences, National Cancer Centre; 3 Singapore Biomedical Computing Resources, Bioinformatics Institute; 4 Department of Pathology, Singapore General Hospital; and 5 Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Requests for reprints: Ann S.G. Lee, Division of Medical Sciences, National Cancer Center, Singapore 169610, Singapore. Phone: 65-6436-8313; Fax: 65-6372-0161. E-mail: dmslsg{at}nccs.com.sg
| Abstract |
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Materials and Methods: Ninety-four subjects from 90 families were accrued from risk assessment clinics. In addition to conventional mutational screening of BRCA1 and BRCA2, multiplex ligation-dependent probe amplification for the detection of large genomic rearrangements, evaluation of splice site alterations using transcript analysis and SpliceSiteFinder prediction, and analysis of missense mutations of unknown significance by multiple sequence alignment, PolyPhen analysis, and comparison of Protein Data Bank structures were incorporated into our testing strategy.
Results: The prevalence rates for clearly deleterious BRCA1 and BRCA2 mutations were 6.7% (6 of 90) and 8.9% (8 of 90), respectively, or 7.8% (7 of 90) and 11.1% (10 of 90), respectively, by including missense mutations predicted to be deleterious by computational analysis. In contrast to observations from European and American populations, deleterious mutations in BRCA2 (10 families) were more common than for BRCA1 (7 families). Overall, the frequency of mutations was 12.2% (n = 11) by conventional screening. However, by including deleterious mutations detected using multiplex ligation-dependent probe amplification (n = 1), transcript analysis (n = 2), and computational evaluation of missense mutations (n = 3), the frequency increased substantially to 18.9%. This suggests that the comprehensive strategy used is effective for identifying deleterious mutations in Asian individuals at high risk for breast and/or ovarian cancer. (Cancer Epidemiol Biomarkers Prev 2007;16(11):2276–84)
| Introduction |
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Genetic testing of the BRCA1 and BRCA2 genes typically involves the DNA sequencing of all exons and intron-exon junctions. However, some high-risk pedigrees will have "negative" results, possibly due to unidentified mutations or mutations with unknown clinical significance, thus presenting a dilemma in risk assessment and genetic counseling (4).
Large genomic rearrangements, such as exon duplications or deletions found in high frequencies in European populations, are not detected by conventional genetic testing strategies (5). Recently, the multiplex ligation-dependent probe amplification (MLPA) assay has been used by many studies to detect large genomic rearrangements in the BRCA1 and BRCA2 genes (6, 7). In a large study of 300 families with four or more cases of breast or ovarian cancer but who were commercially tested negative for BRCA1 and BRCA2 mutations, MLPA detected genomic rearrangements in 12% of the probands (8), thus highlighting the importance of screening for such aberrations in addition to conventional PCR-sequencing protocols.
Intronic alterations that are located within or near to intron-exon junctions may affect mRNA splicing fidelity (9). These alterations are categorized as unclassified variants unless they have been evaluated by transcript analysis to determine their effect on mRNA splicing (10, 11). Other unclassified variants include missense mutations, which have unclear pathogenicity and which form between a third to half of all genetic variants documented in the Breast Cancer Information Core database. Pathogenicity of these variants may be established from family studies of cosegregation, absence in unaffected controls, or by using biochemical criteria, such as conservation of amino acid across species, severity of amino acid change, and involvement of an amino acid within a functional domain (12-14).
In this study, we aimed to accurately determine the prevalence of mutations in the BRCA1 and BRCA2 genes in a cohort of Singaporean women accrued at risk assessment clinics by using a comprehensive testing strategy. In addition to conventional screening of the coding exons of the BRCA1 and BRCA2 genes and their intron-exon boundaries, MLPA analysis for large genomic rearrangements, RNA analysis, in silico prediction of intronic alterations, and evaluation of missense mutations of unknown clinical significance by computational analyses were done. Although these techniques have been used for studies to evaluate the prevalence of BRCA1/BRCA2 mutations, to our knowledge, there have not been any reports incorporating all of these techniques for a comprehensive testing strategy for BRCA1 and BRCA2 mutation detection.
| Materials and Methods |
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Between March 2002 and April 2006, 95 eligible subjects were accrued from 90 families. All subjects were of Asian descent. Subjects were predominantly Chinese (75.8%), followed by Malays (11.6%), Indians (4.2%), and others (8.4%), reflecting the ethnic composition of Singapore. The median age of participants at entry was 36 years, with a range from 19 to 72 years. Half of the subjects were below 40 years old.
Mutational Analysis of BRCA1 and BRCA2
Genomic DNA was isolated using standard techniques as previously reported (16). Purified DNA was amplified as described using published primers (17, 18) and primers described at the Breast Cancer Information Core Web site6 (16). Direct sequencing of the amplified products was done using the CEQ Dye Termination Cycle Sequencing quick start kit (Beckman Coulter), and the products were analyzed using the CEQ 8000 System (Beckman Coulter) according to the manufacturer's recommendations. The PCR products of exon 11 in BRCA1 and exons 10 and 11 in BRCA2 were in vitro transcribed/translated using the protein truncation test (TNT®T7 Quick for PCR DNA, Promega). The translation products were electrophoresed on 10% SDS-polyacrylamide gels. Any mutations detected were confirmed by separate PCR amplifications done at least once.
MLPA
MLPA was done with the MLPA P002-BRCA1 and P0045-BRCA2 test kits and the MLPA P087 confirmation kit (MRC Holland) according to the manufacturer's recommendations, using alternative protocol 2 for multiplex PCR. Fragment analysis was done on the Beckman CEQ 8000 System (Beckman Coulter). Peak profiles for each sample were compared with a normal control and with other samples within the same experimental batch.
RNA Analysis of Splice-Site Alterations
Total RNA was isolated from peripheral blood lymphocytes using Trizol reagent (Invitrogen). cDNA was then reverse transcribed from 150 ng of total RNA using the AMV reverse transcription system (Promega). cDNA (25 ng) was amplified using the following primers by standard procedures with HotStarTaq (Qiagen Gmbh). For amplification of exons 5 to 9 of BRCA1, the primers 5'-CTGAAACTTCTCAACCAGAAGAAA-3' (E6-8F) and 5'-GTAACAATTCTTGATCTCCCACAC-3' (E6-8R) were used. For amplification of exons 14 to 16 of BRCA2, the primers 5'-TCATGTTTCTTTAGAGCCGATTAC-3' (2E14-16F) and 5'-ATTTTAGTTGAAGAAGCACCCTTT-3' (2E14-16R) were used.
Amplification consisted of 35 cycles, each of 1 min, at 94°C, 56°C, and 72°C. PCR products were electrophoresed on a 3% NuSieve GTG agarose gel (Cambrex; for exons 5-9 of BRCA1) or 2% agarose gel (for exons 14-16 of BRCA2), and PCR fragments were purified by gel extraction with the PureLink Quick Gel extraction kit (Invitrogen). Direct sequencing was done as described above.
In silico Splice Site Analysis
SpliceSiteFinder7 was used to determine the presence and relative efficiencies of donor, acceptor, and branch point sites.
Computational Analyses of Missense Mutations
BRCA1 and BRCA2 sequences from various organisms that contain the region that encompasses the site of missense mutation were obtained from Swiss-Prot. Multiple sequence alignment was then conducted using ClustalX 1.83. The Swiss PDB-Viewer was used for rendering and viewing of protein database structures of mutation sites that were available for analysis. When a mutation occurred at the vicinity of putative phosphorylation sites as reported in the literature, NetPhos 2.0 was used to predict possible sites of phosphorylation (19). Comparison of relevant protein structures deposited at the Protein Data Bank8 was done. These Protein Data Bank structures are protein structures which are derived by X-ray crystallography or by nuclear magnetic resonance. Deductions from these analyses were compared with the predictions of the effects of the mutation made by PolyPhen (20). PolyPhen (polymorphism phenotyping) combines information on sequence features, structural variables, and contacts to characterize nucleotide substitutions (20).
| Results |
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By ethnicity, these mutations were detected in 12 of 67 Chinese families (17.9%), 1 of 11 Malay families (9.1%), and 1 of 4 Indian families (25.0%; Table 2). The mutation in the Indian family was the 185delAG mutation frequently found in Ashkenazi Jews and in studies from India (22-28). The Malay founder mutation previously identified in Singapore was not identified in this cohort (16, 29).
Six different BRCA1 deleterious mutations were identified in six families (Table 2). Five of these have been previously reported either in the Breast Cancer Information Core or in the literature and comprised three frameshift mutations, one nonsense mutation, and an intronic deletion within intron 7, causing a frameshift with a predicted stop at codon 182 (Fig. 2 ; ref. 30). A novel genomic rearrangement resulting in the duplication of exon 13 of BRCA1 was identified by MLPA and confirmed by DNA sequencing of the breakpoint (21).
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Eight missense mutations of unknown significance were detected in both BRCA1 and BRCA2, and these were evaluated by computational analyses to determine if they were deleterious (Tables 2 and 4 ).
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Evaluation of Splice Site Alterations
All cases with BRCA1 and BRCA2 intronic splice site alterations were subjected to RNA analysis. Of the 15 intronic alterations detected, two variants, IVS7-15del10 in BRCA1 and IVS15+1G>A in BRCA2, showed aberrant splicing and were classified as deleterious (Table 2; Fig. 2). The remaining 13 variants with normal transcripts were classified as benign polymorphic alterations (Table 3).
IVS7-15del10 in BRCA1, 10-bp deletion in intron 7 of BRCA1, was identified in two subjects who were sisters (Table 2; Fig. 2). Reverse transcription–PCR of the region spanning exons 5 to 9 amplified two fragments, a fragment of the expected size of 472 bp and another fragment of 531 bp of reduced intensity possibly due to nonsense-mediated mRNA decay, which occurs if an alternative transcript has a premature termination codon >55 nucleotides upstream of the last exon-exon junction (32). Sequencing of both fragments revealed that the aberrant fragment had a 59-bp insertion between exons 7 and 8 in the mRNA sequence. Based on this, a possible mechanism for the partial inclusion of intron 7 is shown in Fig. 2. The deletion of the original branch site within the 10-bp intronic deletion causes the utilization of a new branch site upstream with the insertion of the 59-bp intronic sequence, causing a frameshift and a predicted stop at codon 182. SpliceSiteFinder predicted that the strength of the new 3' splice acceptor site (score, 64.4) and new branch point (maximum score, 100) are at least comparable with or higher than the original scores of 67.8 and 83.9, respectively. Both the putative normal and new branch points are based on the consensus sequence YTRAY (33).
The BRCA2 IVS15+1G>A mutation is located in the consensus sequence of the 5' donor splice site and resulted in the generation of an altered transcript by skipping of exon 15.
Evaluation of Missense Mutations of Unknown Clinical Significance by Computational Analyses
Table 4 shows the amino acid sequence comparison for sites of missense mutations used to establish the degree of conservation and the results of computational analyses for assessing the significance of the missense mutations. Of the eight missense mutations, three are predicted to be damaging mutations (BRCA1 P58A, BRCA2 C161W, and BRCA2 G2544D), two are predicted to be benign (BRCA1 M1652I and BRCA2 A2351G), and the remaining three are of unclear status (BRCA1 V191I, BRCA1 K1690Q, and BRCA2 K2729N; Table 4).
Codon 58 of BRCA1 lies within the RING domain, which is a highly conserved region among the nine mammalian sequences examined. The domain is implicated in interactions with at least five different proteins (34, 35).
Codon 161 of BRCA2 has polar residues conserved in all species represented at that site. A mutation to the large hydrophobic Tryptophan residue is likely to be damaging, as it may remove possible covalent or polar bonding.
The G2544D mutation involves a conserved glycine that lies in a highly conserved region, which plays a structural role in forming a loop turn and is likely to affect the binding affinity of BRCA2 with DSS1. The residues involved in the BRCA2-DSS1 interaction are highly conserved, and two DSS1-interacting BRCA2 residues (Ala2564 and Arg2580) were previously found to be mutated in cancer (36). This BRCA2-DSS1 complex directly functions in RAD51-mediated recombination double-stranded break repair (36). However, PolyPhen, which did not examine the Protein Data Bank structure 1mje, classified this mutation as benign.
Codon 1652 of BRCA1 lies in the hydrophobic core of the protein, and its hydrophobicity is shown to be conserved in the alignment (Table 4). Because the mutation to isoleucine is a conservative mutation, it is most probably a benign mutation. PolyPhen, however, has not evaluated the similarity between the leucine found in rhesus monkey in the alignment and isoleucine, and predicted the mutation to be probably damaging (Table 4).
The A2351G mutation of BRCA2 is a conservative mutation in a nonconserved region and hence is likely to be a benign mutation.
Codon 191 of BRCA1 is within a putative site of interaction with oncogene and cell cycle regulators, such as c-myc and estrogen receptors (37). Although V191I is conserved in hydrophobicity and PolyPhen predicted this mutation to be benign, it is still possible that the V191I mutation may affect the phosphorylation state of BRCA1 because NetPhos 2.0 predicted its neighbor T190 to be a likely site of phosphorylation.
The K1690Q mutation in BRCA1 is predicted to be benign by PolyPhen and unclear by our analysis (Table 4). The Protein Data Bank structure 1jnx of BRCA1's BRCT domain showed a salt-bridge interaction between the lysine residue and the glutamic acid residue at codon 1661 (38). A mutation from lysine to glutamine will replace the salt-bridge interaction with a hydrogen bond between the mutated glutamine residue at codon 1690 with the glutamic acid residue at codon 1661. However, the effect of this mutation on the structure and dynamics of the protein is unclear.
The K2729N mutation of BRCA2 is a relatively conservative mutation in a conserved region. Hence, the effect of the mutation on the structure and function of the protein remains unclear.
| Discussion |
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The prevalence rates for BRCA1 and BRCA2 mutations that were observed in this study were 6.7% (6 of 90) and 8.9% (8 of 90), respectively, or 7.8% (7 of 90) and 11.1% (10 of 90), respectively, by including missense mutations predicted to be deleterious by computational analysis. These frequencies are comparable with data from other studies on Chinese women, the majority of which have been small studies with fewer than 50 subjects. In women with early-onset breast cancer, prevalence rates ranging from 8.0% to 9.5% in BRCA1 (39-42) and 2.4% in BRCA2 (40) have been observed, although one study reported no mutations in BRCA1 among 35 Singaporean-Chinese women (43). It should be noted, however, that the age limits set for each of these studies differ and range from <35 to <45 years, which may account for differences in prevalence rates between studies. In addition, a cancer genetics clinic with risk assessment allows risk stratification for genetic testing of a higher risk cohort.
In Chinese cases with a family history of breast or ovarian cancer, mutations in BRCA1 were detected between 8.1% and 12.5% (30, 40, 44, 45) and between 2.7% and 16.7% for BRCA2 (30, 40, 44, 45). In one study on 25 HBOC families, 40% of the women had mutations in BRCA1 (46).
The majority of the BRCA2 frameshift mutations detected were novel mutations. This may be because there is a paucity of information on BRCA2 mutations among the Chinese, Malay, and Indian ethnic groups. Furthermore, we found that in our cohort of Singaporean women, deleterious mutations in BRCA2 (10 families) were more common than for BRCA1 (seven families). This contrasts with observations from European and American populations, wherein the frequency of BRCA1 mutations is higher than that of BRCA2 (1, 3). In a large U.S. study of 1948 families, BRCA1 and BRCA2 mutations were detected in 14.6% and 7.4% of the families, respectively (3). However, in Chinese women from Shanghai, a 1:1 ratio for BRCA1/BRCA2 mutations was observed (44). Thus, our findings underscore the importance of screening for BRCA2 mutations in individuals at high risk of developing breast and/or ovarian cancer.
Although there have been hospital-based genetic testing studies for BRCA1/BRCA2, there have been no Asian risk assessment clinic-based reports with predominantly Asian individuals seeking counseling and genetic testing (22, 47, 48). The advantages of clinic-based ascertainment is, firstly, the use of risk stratification to allow for genetic testing of a higher risk cohort and, secondly, the exclusion of breast cancer families related to other predisposition genes. We excluded one family with Cowden's syndrome and another with Li-Fraumeni syndrome (data not shown). Additionally, we screened for the CHEK2*1100delC mutation, which also predisposes to early-onset breast cancer, and all our subjects were negative (unpublished data).
The technology to sequence BRCA1 and BRCA2 is increasingly available in Asian countries, and although genetic testing is often done as part of research studies, the set up of formal assessment clinics could increase the scope of hereditary cancers detected.
To ascertain the pathologic effect of the intronic alterations on mRNA splicing fidelity and expression, RNA analysis using reverse transcription–PCR and sequencing and in silico splice prediction methods were used (9, 10). This current study identified two deleterious intronic aberrations, IVS7-15del10 in BRCA1 and IVS15+1G>A in BRCA2. The occurrence of these splicing aberrations emphasizes the importance of studying mutations both at the genomic DNA and RNA levels to determine the pathogenic effect of the mutations (49) which would effect on genetic counseling. However, if RNA is not available, then another option would be to use theoretical splicing prediction approaches, such as SpliceSiteFinder, to determine if the BRCA1 and BRCA2 splice site variants identified from genomic sequence would cause aberrant splicing (10).
Missense mutations of unknown clinical significance or unclassified variants pose a challenge in genetic counseling. By using bioinformatic tools to assess such mutations, deleterious mutations may be identified in high-risk individuals, providing information for risk reduction decision making. Such computational tools provide a feasible alternative to the evaluation of missense mutations by segregation analysis, which is particularly difficult in small families or in families for which pedigree information is unknown or limited.
This study has shown that intronic alterations, large genomic rearrangements, and missense mutations in combination contribute significantly to deleterious mutations in our study population. Improved mutation detection by a comprehensive screening approach for the BRCA1 and BRCA2 genes, as shown here, may be effective for the identification of deleterious mutations, with implications for genetic counseling and risk assessment of individuals at high-risk for breast and/or ovarian cancer.
| Acknowledgments |
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| Footnotes |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
6 http://research.nhgri.nih.gov/bic/ ![]()
7 http://www.genet.sickkids.on.ca/~ali/splicesitefinder.html ![]()
Received 5/ 3/07; revised 8/ 7/07; accepted 8/16/07.
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