Skip to main content
Download PDF

New recurrent BRCA1/2 mutations in Polish patients with familial breast/ovarian cancer detected by next generation sequencing

BMC Medical Genomics volume 8, Article number: 19 (2015) Cite this article

Abstract

Background

Targeted PCR-based genetic testing for BRCA1 and BRCA2 can be performed at a lower cost than full gene testing; however, it may overlook mutations responsible for familial breast and/or ovarian cancers. In the present study, we report the utility of next generation sequencing (NGS) to identify new pathogenic variants of BRCA1/2.

Methods

BRCA1 and BRCA2 exons were amplified using the Ion AmpliSeq BRCA1/2 Panel and sequenced on the Ion Torrent PGM sequencer in 512 women with familial and/or only early onset breast and/or ovarian cancers who were negative for selected BRCA1/2 mutations.

Results

146 single nucleotide variants (SNVs) and 32 indels were identified. Of them, 14 SNVs and 17 indels were considered as pathogenic or likely pathogenic. One and 18 pathogenic mutations had been detected previously in the Polish and other populations, respectively, and 12 deleterious mutations were previously unknown. Eight mutations were recurrent; Q563X (BRCA1), N3124I (BRCA2) and c.4516delG (BRCA1) were found in eight, six and four patients, respectively, and two other mutations (c.9118-2A > G and c.7249delCA in BRCA2) were detected in three patients each. Altogether, BRCA1/2 pathogenic mutations were identified in 52 out of 512 (10%) patients.

Conclusions

NGS substantially improved the detection rates of a wide spectrum of mutations in Polish patients with familial breast and/or ovarian cancer. Although targeted screening for specific BRCA1 mutations can be offered to all Polish breast or ovarian cancer patients, NGS-based testing is justified in patients with breast or ovarian cancer likely related to BRCA1/2 who test negative for the selected BRCA1/2 pathogenic mutations.

Peer Review reports

Background

Approximately 5–10% of breast cancers and 10% of ovarian cancers have a hereditary component [1], which in most cases is associated with clinically significant mutations in the BRCA1 and BRCA2 genes. According to the Breast Cancer Information Core (BIC) [2], more than 1800 and 2000 distinct variants of the BRCA1 and BRCA2 genes have been described, respectively. The incidence and spectrum of mutations vary among populations, and the carrier frequency in general populations ranges between 1/40 and 1/800 [3]. Some populations demonstrate a wide spectrum of mutations, while others are characterized by high prevalence of a small number of founder mutations [4]. In Ashkenazi Jews, three founder mutations in BRCA1 and BRCA2 comprise 80% to 95% of mutations, respectively [5,6]. In Poland, the frequency of BRCA1 mutations is estimated to be between 1/240 and 1/360, and two founder mutations, namely, 5382insC and T300G (C61G), account for 70–90% of BRCA1 mutations [3]. None of them is unique to Poland.

Breast cancer is the most common cancer among Polish women, and is a leading cause of cancer-related morbidity and mortality [7]. The only factor that significantly decreases cancer-related mortality is early diagnosis, and in special cases, prophylactic surgery. Since cancers detected at an early stage of development are asymptomatic or low-symptomatic disorders, early diagnosis of cancer is usually accidental or the result of screening programs. Current cancer screening guidelines for the general population are based on the age of the individual, and patients at risk of developing cancer are identified on the basis of a positive family history of cancer. Families with two first- or second-degree relatives with breast and/or ovarian cancers, with at least one of the cases diagnosed before the age of 50 years, are considered to be at moderate risk, while those with at least three relatives with breast and/or ovarian cancers are considered to be at high risk [7].

The mutation status may determine the medical management of patients, including annual screening and prophylactic surgery, and genetic testing for BRCA1 and BRCA2 is routinely performed in women with hereditary breast and ovarian cancer risk. More than 100,000 individuals in the United States undergo BRCA testing annually [8]. However, since BRCA testing is a costly procedure (the current charge for full gene sequencing is several hundred to thousands of dollars), most genetic counseling programs recommend less expensive targeted screening for specific BRCA1 and BRCA2 mutations rather than full gene testing [8].

Next generation sequencing (NGS) offers a powerful, faster, and cheaper alternative for targeted sequencing aimed at identifying non-synonymous, splicing, and stop codon variants exhibiting deleterious consequences in the coding genes [9]. As a consequence, several NGS-based workflows for clinical BRCA1 and BRCA2 mutation testing were recently proposed [10-16].

In a previous study from our group, we used multiplexed PCR-based genotyping technology and showed that the frequency of selected BRCA1 mutations was moderate in familial and high in nonfamilial breast cancers. In addition, a strong founder effect was confirmed for BRCA1 mutations but not for BRCA2 mutations in the Polish population [7]. In the present study, we show that the use of the Ion Torrent PGM sequencer to sequence the coding exons of BRCA1 and BRCA2 genes substantially improves the detection rates of a wide spectrum of mutations in Polish patients with familial and/or only early onset of breast and/or ovarian cancers.

Methods

Patients

Patients whose blood samples were collected between 2003 and 2010 were selected from the registry of the Genetic Counseling Unit, Warsaw Cancer Center-Institute of Oncology. The personal and familial cancer histories were acquired by in-depth interviews. Healthy individuals with no known personal or familial history of malignancy, normal results of screening colonoscopy, and normal mammography or PSA levels were recruited primarily from the National Colorectal Cancer Screening Program. All patients and control subjects were Polish Caucasians recruited from the Masovian voivodeship population. Informed consent for hereditary cancer genetic testing was obtained from all of the patients. The permission for genetic testing was granted by the Ethical Committee at Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology on 9 May 2002 (No. 28/2002) and further extended to include testing with NGS on 11 June 2013 (No. 28/2002/1/2013). The study did not require ethical approval.

BRCA1/2 sequencing

Genomic DNA was extracted from whole blood as described previously [7]. DNA concentration was determined on a Qubit 2.0 Fluorometer using the Qubit dsDNA BR Assay Kit (Life Technologies). For library preparation, a set of reagents from the Ion AmpliSeq™ Library Kit 2.0 (Life Technologies) and Ion AmpliSeq BRCA1 and BRCA2 Panel, which comprises 167 primer pairs spanning 16.25 kb, were used to amplify the coding regions of the BRCA1 and BRCA2 genes. Amplification for each patient was performed using three separate primer pools containing 1.4 μl of 5× Ion AmpliSeq™ HiFi Master Mix, 3.5 μl of 2× Ion AmpliSeq Primer Pool, and 3 ng of DNA in a total reaction volume of 7 μl. Cycling conditions were as follows: 99°C for 2 min, followed by 19 cycles of 99°C for 15 sec and 60°C for 4 min, ending with a hold at 10°C. At this point, three separate reactions for a given patient were combined, and amplicons were partially digested at primer sequences with 2 μl of FuPa reagent under conditions provided by the manufacturer in The Ion AmpliSeq DNA and RNA Library Preparation protocol (Revision B.0). Subsequent steps of library preparation were performed according to the above protocol. Briefly, following digestion, samples were subjected to sequencing adapter ligation with either 16 or 32 indexing barcodes, and purified with the AMPure XP reagent (Beckman Coulter). The DNA library was eluted from AMPure XP beads with 52 μl of PCR reagent solution consisting of 50 μl of Platinum®PCR Super Mix HiFi and 2 μl of Library Amplification Primer Mix, and amplified under the following conditions: 98°C for 2 min, followed by five cycles of 98°C for 15 sec and 64°C for 1 min, ending with a hold at 10°C. Next, the amplified DNA library was subjected to a two-round purification process using AMPure XP beads with 0.5× and 1.2× bead-to-sample volume ratios, respectively. Library concentrations were determined with the Qubit dsDNA HS Assay Kit (Life Technologies), and the respective size distributions were determined with the High Sensitivity DNA Analysis Kit on Bioanalyzer 2100 (Agilent).

Library molarity was determined, and either 16 or 32 libraries were pooled in equimolar concentrations and used for automatic template preparation on Ion Chef using reagents from the Ion PGM IC 200 Kit and Ion 316 Chip Kit v2 BC. Sequencing was performed on the Ion Torrent PGM sequencer using 500-flow runs. Data from the PGM runs were processed on the Ion Torrent server using a platform-specific pipeline incorporated in Torrent Suite v4.2.1 (Life Technologies) to obtain sequence reads, trim adapter sequences, filter and remove poor signal reads, and assign the reads to a given barcode. The reads were mapped to the hg19 (Homo sapiens) reference genome and adjusted to the specific amplicon target regions deposited in the “BRCA1_2.20131001.designed” BED file available in Torrent Suite. The coverageAnalysis (v4.2.1.4) and variantCaller (v4.2.1.0) plug-ins with a set of default parameters optimized for the BRCA1/BRCA2 panel were obtained from www.Ampliseq.com, and were ran for each sequencing dataset.

Post-sequencing variant analysis

Variants were classified either as single nucleotide variants (SNVs) or insertion/deletion (indels) variants using a python script. Variants were annotated using data from BIC for the BRCA1 and BRCA2 genes. The identified variants were matched to existing variants in BIC according to four parameters as follows: chromosome number (chromosome 13 and chromosome 17 for BRCA2 and BRCA1, respectively); position of the variant in the human genome assembly hg19 (GRCh37), which was retrieved from the BIC database field HGVS; genomic and type of reference; and alternate base. The possibility of different alternate and reference base was taken into account as well as the possibility of variant on the reverse strand.

All the SNVs were analyzed using Variant Effect Predictor [17] (VEP) for the human genome assembly hg19 (GRCh37). The occurrence of variants was determined using an R script. Variants with unknown clinical significance in BIC and new changes were subjected to in silico analysis of their deleteriousness, and screened for evidence of pathogenicity in the literature.

Selection of pathogenic variants

SNVs and indels were analyzed using Condel [18] and SIFT Indel [19], respectively. Missense variants were classified as pathogenic when reported in BIC as pathogenic, and/or predicted as pathogenic by a Condel score, and identified through a literature search [20-29]. Frameshift mutations were classified as pathogenic when reported as pathogenic by BIC and/or predicted as pathogenic by SIFT Indel.

Genotyping

Pathogenic mutations detected by NGS were confirmed by Sanger sequencing. In addition, five selected variants, namely, Q356R, N3124I, Q563X, c.7249delCA, and c.9118-2G > A, were genotyped using Custom TaqMan SNP Genotyping Assays (Life Technologies, USA) and a 7900HT Real-Time PCR system (Life Technologies) as described previously [7].

Results

NGS analysis

The incidence of SNVs and indels within 167 amplicons covering the BRCA1 and BRCA2 exons was tested using the Ion Torrent PGM sequencer in 31 (a training set) and 512 women with breast cancer or ovarian cancer newly diagnosed before the age of 50 years who were positive and negative for BRCA1/2 mutations, respectively, as determined by targeted genotyping. The genotyping comprised 11 mutations in BRCA1, namely c.66_67delAG, C61R, c.3700_3704del5, c.3756delGTCT, c.3777delT, c.4035delA, c.4041delAG, c.4065delTCAA, c.5263delC, R1738E and R1751X, and nine mutations in BRCA2, namely E394X, c.5239insT, c.5946delT, c.5964delAT, c.6447delTA, c.7910del5, c.8924delT, R3128X and c.9402delT [7,30]. Of the 512 women, 317 had familial breast and/or ovarian cancer, and 195 had only early onset cancer and/or contralateral breast and ovarian cancers; the median age of women with breast cancer at diagnosis was 43 years.

The average number of bases with ≥ Q17/≥Q20 across all 21 PGM sequencing runs was 343/324 Mbp, constituting 96/90% of total output. The average coverage across all samples was 507, whereas the mean mapping rate reached 94%.

The NGS-based procedure confirmed the pathogenic mutations in all 31 DNA samples of a training set (not shown). Among 512 DNA samples analyzed, we identified 146 SNVs (64 in BRCA1 and 82 in BRCA2) and 32 indels (20 in BRCA1 and 12 in BRCA2). Sixteen indels were found in coding regions (nine in BRCA1 and seven in BRCA2). The results of the detailed analysis of SNVs and indels are summarized in Additional file 1.

The types and number of SNVs are summarized in Table 1. Of these, eight SNVs (five in BRCA1 and three in BRCA2) were already reported in BIC as pathogenic. Three additional SNVs were reported as variants of uncertain significance (VUS); variants co-localized with these SNVs were reported as pathogenic in ClinVar. In addition, we identified three novel nonsense variants (Table 2). Of 41 missense variants that were either reported as VUS in BIC or had not been reported previously, 24 had at least one transcript in which the Condel score was reported as deleterious (Table 3).

Table 1 Types and number of single nucleotide variants in the BRCA1 and BRCA2 genes
Full size table
Table 2 Pathogenic single nucleotide variants in BIC and ClinVar
Full size table
Table 3 Pathogenic missense variants according to the Condel algorithm
Full size table

Of the indels identified in the present study, five in BRCA1 and two in BRCA2 had already been reported in BIC as pathogenic. One additional indel was reported as unknown in BIC, although its co-located variants in dbSNP were reported in ClinVar as pathogenic (Table 4). We also found nine novel indels in coding regions (Table 4).

Table 4 Pathogenic indels in BIC, ClinVar, or SIFT indel prediction
Full size table

Altogether, among 512 patients in whom the previous targeted genotyping did not reveal a pathogenic BRCA1/2 mutation massive amplicon sequencing identified 52 patients with 31 deleterious mutations, of which sixteen were frameshift, eight were nonsense, three were missense, and four affected splicing. Of note, one patient carried two pathogenic mutations, namely Q563X and N3124I. All pathogenic variants were confirmed by Sanger direct sequencing. Five other variants were likely pathogenic, and 17 variants were VUS. All of them were missense mutations (Table 3).

Genotyping for NGS-selected mutations

Using the TaqMan SNP Genotyping Assay, the incidence of five selected variants, one common polymorphism (Q356R) and four mutations (N3124I, Q563X, c.7249delCA, and c.9118-2G > A) were tested in additional group of 445 cancer patients diagnosed under the age of 50 and 1300 healthy individuals (856 women and 444 men with a median age of 59 years).

Although Q356R was described as pathogenic in ClinVar, its prevalence was similar among patients (15.1%) and healthy controls (16.9%). Therefore, the clinical significance of this polymorphic variant was not confirmed. By contrast, Q563X was detected in 5 (1.1%) out of 445 cancer patients, respectively, but only in one healthy individual. The three other mutations (N3124I, c.7249delCA, and c.9118-2G > A) were detected by TaqMan genotyping only in DNA samples in which they were identified by NGS.

Discussion

The rare germline pathogenic BRCA1 mutations increase the risk of breast and ovarian cancer to approximately 80% and 60%, respectively, whereas BRCA2 mutations increase breast cancer risk to more than 80% by the age of 80 [10]. Because the risk of cancer can be predicted by a family history and/or by an early disease onset, the Genetic Counseling Unit at the Warsaw Cancer Center-Institute of Oncology offers risk counseling based on the occurrence of cancer in the pedigree. However, according to Polish guidelines and recommendations, the government sponsored surveillance program, which includes annual mammography and breast magnetic resonance imaging, pelvic ultrasonography, and cancer antigen 125 levels, is provided only to women with known pathogenic mutations. Therefore, in families with an increased cancer risk, genetic testing is critical for preventive healthcare, including specialized surveillance programs and prophylactic mastectomy and/or oophorectomy, which reduce the risk of breast/ovarian cancer by over 90% [31]. The detection of BRCA1/2 pathogenic mutations facilitates the selection of patients and the delivery of healthcare and related services in women harboring their respective germline mutations.

Although BRCA1 and BRCA2 mutations [32-37] are present in more than 60% and 30% of families, respectively, our targeted mutation screening [7] detected 20.8% and 1.3% of patients carrying pathogenic BRCA1 and BRCA2 mutations, respectively. This suggests that a proportion of mutations responsible for familial breast and/or ovarian cancers were not identified. In the present study, we report the utility of NGS for the detection of new pathogenic variants of BRCA1/2.

Among 512 DNA samples analyzed, we identified 146 SNVs and 32 indels, of which 14 SNVs and 17 indels were considered as pathogenic or likely pathogenic. One and 18 pathogenic mutations had been detected previously in the Polish and other populations, respectively, and 12 deleterious mutations had not been detected earlier. Eight mutations were recurrent; Q563X, N3124I and c.4516delG were found in eight, six and four patients, respectively, and two other mutations (c.9118-2A > G and c.7249delCA) were detected in three patients each (Figure 1). Overall, sequencing of BRCA1/2 coding exons identified additional predicted cancer risk mutations in 52 out of 512 (10%) patients with familial and/or an early onset breast/ovarian cancer that were missed using our standard genotyping procedure. The incidence of new pathogenic mutations was higher in women with familial breast and/or ovarian cancer [26 mutations (17.9%) in 145 patients] than those representing only familial breast cancer [26 (7.1%) in 367 patients]. These mutations could be used for estimation of cancer risk in index patients and for cascade screening.

Figure 1
figure 1

Mutations found in BRCA1 and BRCA2 genes. Visualization was performed with MutationMapper [55]. The Pfam protein domains and the positions of specific mutations are shown. The mutations found in two or more cases are labeled.

Full size image

The pathogenicity of nonsense and frameshift mutations was relatively easily established; however, the functional consequences of several missense, intronic, and small in-frame insertion/deletions were not as evident, and reaching an adequate conclusion and providing advice regarding their significance were challenging tasks. These unclassified VUSs are not communicated to the patient or to non-genetic professionals to avoid increasing healthcare utilization and costs associated with unnecessary physician visits and imaging tests [38-41]. Therefore, it is urgent to develop functional studies to evaluate the pathogenicity of a suspected variant and determine its involvement in breast and/or ovarian cancer development. New genome editing techniques enable the assessment of genetic variants, including those of uncertain significance, in a native chromosomal context [42]. For example, in a proof of concept study, known mutations and artificial variants in exon18 BRCA1 were introduced using the CRISPR/Cas9 technique, resulting in traceable changes in BRCA1 mRNA splicing and abundance [43]. Such an approach, when scaled up, allows the evaluation of the combination effects of variants on splicing and transcript levels in any gene.

The overall mutation prevalence in the combined results of previous targeted genotyping studies [7] and the present amplicon sequencing was >30% in a group of patients with early onset breast/ovarian cancer. However, the negative results of genetic testing may not be universally informative for assessing cancer risk and do not rule out hereditary predisposition. The lack of detection of pathogenic mutations in families affected by an increased risk of breast/ovarian cancer may result not only from misinterpretation of determined variants [44], but also from incorrect selection of index women and/or the genetic analytical range [1]. Additionally, for some populations the large rearrangements in BRCA1/2 genes have been described in a significant proportion of families with strong breast/ovarian cancer history [45,46]. However, in Poland such testing is not routinely performed since no founder mutations were described [47]. In addition, amplicon sequencing with PGM platform does not seem to be a method ready for searching of BRCA1/2 large rearrangements in genetic counseling [11,48].

The presence of germline mutations in cancer susceptibility genes other than BRCA1/2 may also lead to the development of hereditary breast/ovarian cancers. An NGS 25-gene panel revealed that the frequency of mutations in genes other than BRCA1/2 is 4.3%, of which 3.9% are in genes associated with breast/ovarian cancer [49]. The 4.3% frequency of germline mutations in additional cancer susceptibility genes was also detected through analyses of breast cancers in The Cancer Genome Atlas Project [50]. However, with the exception of PALB2, most of these predisposition genes do not reach the same degree of significance as BRCA1 predisposition [51], and in contrast to BRCA1/2 mutations, neither age at breast cancer diagnosis nor family history of ovarian or young breast cancer are predictive factors for other mutations [49].

Conclusions

NGS testing might be routine for many genes, including BRCA1 and BRCA2. However, the cost of complete genetic testing is significantly higher than that of conventional PCR-based genetic testing; the internal costs in our institution, excluding personnel and overhead, are $120 vs. $20 [7]. Therefore, introducing the NGS to routine genotyping of BRCA (and other genes) in clinical practice would need additional financial support from public healthcare systems. Instead, targeted screening for specific BRCA1 mutations performed at the reasonable costs can be offered to all breast or ovarian cancer patients in the Polish population, regardless of the family history or the age of disease onset [7,52-54]. Since PCR-based cost-efficient testing for BRCA1 and BRCA2 can detect mainly pre-selected mutations, the more recurrent mutations included in the screening, the greater efficiency of the testing.

In the present study, we identified two mutations, namely, Q563X (BRCA1) and N3124I (BRCA2), showing a strong founder effect in the Polish patients with a hereditary risk of ovarian/breast cancer. These mutations should be included in the set of mutations analyzed in PCR-based targeted screening programs in Poland. Sanger direct sequencing should be used to confirm the presence of a pathogenic mutation detected by PCR- or NGS-based genotyping, and it is the method of choice for cascade screening of relatives of the index patient. Finally, NGS-based testing of all coding exons in both genes may be reserved for patients with breast or ovarian cancer that is more likely related to BRCA. These considerations for the comprehensive assessment of pathogenic mutations in breast and ovarian cancers are exemplified for BRCA1 C1501X mutation found in multiple family members during conducting this study (Table 5 and Additional file 2). However, further studies are required to determine which clinical features may better define a feasible link between breast/ovarian cancer and BRCA1/2 mutations.

Table 5 Example of multilevel genetic testing workflow that led to identification of BRCA1 C1501X mutation in multiple family members during conducting this study
Full size table

Abbreviations

BRCA1:

Breast cancer 1, early onset

BRCA2:

Breast cancer 2, early onset

NGS:

Next generation sequencing

SNV:

Single nucleotide variants

BIC:

Breast Information Core

VUS:

Variant of uncertain significance

References

  1. Oosterwijk JC, de Vries J, Mourits MJ, de Bock GH. Genetic testing and familial implications in breast-ovarian cancer families. Maturitas. 2014;78:252–7.

    Article  PubMed  Google Scholar 

  2. Szabo C, Masiello A, Ryan JF, Brody LC. The breast cancer information core: database design, structure, and scope. Hum Mutat. 2000;16:123–31.

    Article  CAS  PubMed  Google Scholar 

  3. Brozek I, Ratajska M, Piatkowska M, Kluska A, Balabas A, Dabrowska M, et al. Limited significance of family history for presence of BRCA1 gene mutation in Polish breast and ovarian cancer cases. Fam Cancer. 2012;11:351–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Turner NC, Reis-Filho JS. Basal-like breast cancer and the BRCA1 phenotype. Oncogene. 2006;25:5846–53.

    Article  CAS  PubMed  Google Scholar 

  5. Mavaddat N, Antoniou AC, Easton DF, Garcia-Closas M. Genetic susceptibility to breast cancer. Mol Oncol. 2010;4:174–91.

    Article  CAS  PubMed  Google Scholar 

  6. Peto J, Collins N, Barfoot R, Seal S, Warren W, Rahman N, et al. Prevalence of BRCA1 and BRCA2 gene mutations in patients with early-onset breast cancer. J Natl Cancer Inst. 1999;91:943–9.

    Article  CAS  PubMed  Google Scholar 

  7. Gaj P, Kluska A, Nowakowska D, Bałabas A, Piątkowska M, Dabrowska M, et al. High frequency of BRCA1 founder mutations in Polish women with nonfamilial breast cancer. Fam Cancer. 2012;11:623–8.

    Article  CAS  PubMed  Google Scholar 

  8. Armstrong J, Toscano M, Kotchko N, Friedman S, Schwartz MD, Virgo KS, et al. American BRCA Outcomes and Utilization of Testing (ABOUT) Study: a pragmatic research model that incorporates personalized medicine/patient-centered outcomes in a real world setting. J Genet Couns. 2015;24:18–28.

    Article  PubMed  Google Scholar 

  9. Rabbani B, Tekin M, Mahdieh N. The promise of whole-exome sequencing in medical genetics. J Hum Genet. 2014;59:5–15.

    Article  CAS  PubMed  Google Scholar 

  10. Couch FJ, Nathanson KL, Offit K. Two decades after BRCA: setting paradigms in personalized cancer care and prevention. Science. 2014;343:1466–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Feliubadaló L, Lopez-Doriga A, Castellsagué E, del Valle J, Menéndez M, Tornero E, et al. Next-generation sequencing meets genetic diagnostics: development of a comprehensive workflow for the analysis of BRCA1 and BRCA2 genes. Eur J Hum Genet. 2013;21:864–70.

    Article  PubMed  Google Scholar 

  12. Chan M, Ji SM, Yeo ZX, Gan L, Yap E, Yap YS, et al. Development of a next-generation sequencing method for BRCA mutation screening: a comparison between a high-throughput and a benchtop platform. J Mol Diagn. 2012;14:602–12.

    Article  CAS  PubMed  Google Scholar 

  13. Wen H, Kim YC, Snyder C, Xiao F, Fleissner EA, Becirovic D, et al. Family-specific, novel, deleterious germline variants provide a rich resource to identify genetic predispositions for BRCAx familial breast cancer. BMC Cancer. 2014;14:470.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ruiz A, Llort G, Yagüe C, Baena N, Viñas M, Torra M, et al. Genetic testing in hereditary breast and ovarian cancer using massive parallel sequencing. Biomed Res Int. 2014;2014:542541.

    PubMed  PubMed Central  Google Scholar 

  15. Costa JL, Sousa S, Justino A, Kay T, Fernandes S, Cirnes L, et al. Nonoptical massive parallel DNA sequencing of BRCA1 and BRCA2 genes in a diagnostic setting. Hum Mutat. 2013;34:629–35.

    Article  CAS  PubMed  Google Scholar 

  16. Yeo ZX, Wong JCL, Rozen SG, Lee ASG. Evaluation and optimisation of indel detection workflows for ion torrent sequencing of the BRCA1 and BRCA2 genes. BMC Genomics. 2014;15:516.

    Article  PubMed  PubMed Central  Google Scholar 

  17. McLaren W, Pritchard B, Rios D, Chen Y, Flicek P, Cunningham F. Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics. 2010;26:2069–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. González-Pérez A, López-Bigas N. Improving the assessment of the outcome of nonsynonymous SNVs with a consensus deleteriousness score. Condel Am J Hum Genet. 2011;88:440–9.

    Article  PubMed  Google Scholar 

  19. Hu J, Ng PC. SIFT Indel: predictions for the functional effects of amino acid insertions/deletions in proteins. PLoS One. 2013;8:e77940.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Capanu M, Concannon P, Haile RW, Bernstein L, Malone KE, Lynch CF, et al. Assessment of rare BRCA1 and BRCA2 variants of unknown significance using hierarchical modeling. Genet Epidemiol. 2011;35:389–97.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Abkevich V, Zharkikh A, Deffenbaugh AM, Frank D, Chen Y, Shattuck D, et al. Analysis of missense variation in human BRCA1 in the context of interspecific sequence variation. J Med Genet. 2004;41:492–507.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Borg A, Haile RW, Malone KE, Capanu M, Diep A, Törngren T, et al. Characterization of BRCA1 and BRCA2 deleterious mutations and variants of unknown clinical significance in unilateral and bilateral breast cancer: the WECARE study. Hum Mutat. 2010;31:E1200–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lindor NM, Guidugli L, Wang X, Vallée MP, Monteiro ANA, Tavtigian S, et al. A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Hum Mutat. 2012;33:8–21.

    Article  CAS  PubMed  Google Scholar 

  24. Easton DF, Deffenbaugh AM, Pruss D, Frye C, Wenstrup RJ, Allen-Brady K, et al. A systematic genetic assessment of 1,433 sequence variants of unknown clinical significance in the BRCA1 and BRCA2 breast cancer-predisposition genes. Am J Hum Genet. 2007;81:873–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Spurdle AB, Lakhani SR, Healey S, Parry S, Da Silva LM, Brinkworth R, et al. Clinical classification of BRCA1 and BRCA2 DNA sequence variants: the value of cytokeratin profiles and evolutionary analysis–a report from the kConFab Investigators. J Clin Oncol. 2008;26:1657–63.

    Article  CAS  PubMed  Google Scholar 

  26. Karchin R, Agarwal M, Sali A, Couch F, Beattie MS. Classifying variants of undetermined significance in BRCA2 with protein likelihood ratios. Cancer Inform. 2008;6:203–16.

    PubMed  PubMed Central  Google Scholar 

  27. Lee T-C, Lee ASG, Li K-B. Incorporating the amino acid properties to predict the significance of missense mutations. Amino Acids. 2008;35:615–26.

    Article  CAS  PubMed  Google Scholar 

  28. Osorio A, Milne RL, Honrado E, Barroso A, Diez O, Salazar R, et al. Classification of missense variants of unknown significance in BRCA1 based on clinical and tumor information. Hum Mutat. 2007;28:477–85.

    Article  CAS  PubMed  Google Scholar 

  29. Farrugia DJ, Agarwal MK, Pankratz VS, Deffenbaugh AM, Pruss D, Frye C, et al. Functional assays for classification of BRCA2 variants of uncertain significance. Cancer Res. 2008;68:3523–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Balabas A, Skasko E, Nowakowska D, Niwinska A, Blecharz P. Novel germline mutations in BRCA2 gene among breast and breast-ovarian cancer families from Poland. Fam Cancer. 2010;9:267–74.

    Article  CAS  PubMed  Google Scholar 

  31. McCarthy AM, Armstrong K. The role of testing for BRCA1 and BRCA2 mutations in cancer prevention. JAMA Intern Med. 2014;174:1023–4.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Górski B, Jakubowska A, Huzarski T, Byrski T, Gronwald J, Grzybowska E, et al. A high proportion of founder BRCA1 mutations in Polish breast cancer families. Int J Cancer. 2004;110:683–6.

    Article  PubMed  Google Scholar 

  33. Thomassen M, Hansen TVO, Borg A, Lianee HT, Wikman F, Pedersen IS, et al. BRCA1 and BRCA2 mutations in Danish families with hereditary breast and/or ovarian cancer. Acta Oncol. 2008;47:772–7.

    Article  CAS  PubMed  Google Scholar 

  34. Claes K, Poppe B, Coene I, Paepe AD, Messiaen L. BRCA1 and BRCA2 germline mutation spectrum and frequencies in Belgian breast/ovarian cancer families. Br J Cancer. 2004;90:1244–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Borg A, Dørum A, Heimdal K, Maehle L, Hovig E, Møller P. BRCA1 1675delA and 1135insA account for one third of Norwegian familial breast-ovarian cancer and are associated with later disease onset than less frequent mutations. Dis Markers. 1999;15:79–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Håkansson S, Johannsson O, Johansson U, Sellberg G, Loman N, Gerdes AM, et al. Moderate frequency of BRCA1 and BRCA2 germ-line mutations in Scandinavian familial breast cancer. Am J Hum Genet. 1997;60:1068–78.

    PubMed  PubMed Central  Google Scholar 

  37. Antoniou AC, Hardy R, Walker L, Evans DG, Shenton A, Eeles R, et al. Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics. J Med Genet. 2008;45:425–31.

    Article  CAS  PubMed  Google Scholar 

  38. Domchek SM, Bradbury A, Garber JE, Offit K, Robson ME. Multiplex genetic testing for cancer susceptibility: out on the high wire without a net? J Clin Oncol. 2013;31:1267–70.

    Article  PubMed  Google Scholar 

  39. Hanoch Y, Miron-Shatz T, Rolison JJ, Ozanne E. Understanding of BRCA1/2 genetic tests results: the importance of objective and subjective numeracy. Psychooncology. 2014;23:1142–8.

    Article  PubMed  Google Scholar 

  40. Plon SE, Eccles DM, Easton D, Foulkes WD, Genuardi M, Greenblatt MS, et al. Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results. Hum Mutat. 2008;29:1282–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Mohammadi L, Vreeswijk MP, Oldenburg R, van den Ouweland A, Oosterwijk JC, van der Hout AH, et al. A simple method for co-segregation analysis to evaluate the pathogenicity of unclassified variants; BRCA1 and BRCA2 as an example. BMC Cancer. 2009;9:211.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Shendure J. Life after genetics. Genome Med. 2014;6:86.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Findlay GM, Boyle EA, Hause RJ, Klein JC, Shendure J. Saturation editing of genomic regions by multiplex homology-directed repair. Nature. 2014;513:120–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Foley SB, Rios JJ, Mgbemena VE, Robinson LS, Hampel HL, Toland AE, et al. Use of whole genome sequencing for diagnosis and discovery in the cancer genetics clinic. EBioMed. 2015;2:74–81.

    Article  Google Scholar 

  45. Ticha I, Kleibl Z, Stribrna J, Kotlas J, Zimovjanova M, Mateju M, et al. Screening for genomic rearrangements in BRCA1 and BRCA2 genes in Czech high-risk breast/ovarian cancer patients: high proportion of population specific alterations in BRCA1 gene. Breast Cancer Res Treat. 2010;124:337–47.

    Article  CAS  PubMed  Google Scholar 

  46. Sluiter MD, van Rensburg EJ. Large genomic rearrangements of the BRCA1 and BRCA2 genes: review of the literature and report of a novel BRCA1 mutation. Breast Cancer Res Treat. 2011;125:325–49.

    Article  CAS  PubMed  Google Scholar 

  47. Ratajska M, Brozek I, Senkus-Konefka E, Jassem J, Stepnowska M, Palomba G, et al. BRCA1 and BRCA2 point mutations and large rearrangements in breast and ovarian cancer families in Northern Poland. Oncol Rep. 2008;19:263–8.

    CAS  PubMed  Google Scholar 

  48. Tarabeux J, Zeitouni B, Moncoutier V, Tenreiro H, Abidallah K, Lair S, et al. Streamlined ion torrent PGM-based diagnostics: BRCA1 and BRCA2 genes as a model. Eur J Hum Genet. 2014;22:535–41.

    Article  CAS  PubMed  Google Scholar 

  49. Tung N, Battelli C, Allen B, Kaldate R, Bhatnagar S, Bowles K, et al. Frequency of mutations in individuals with breast cancer referred for BRCA1 and BRCA2 testing using next-generation sequencing with a 25-gene panel. Cancer. 2015;121:25–33.

    Article  CAS  PubMed  Google Scholar 

  50. Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490:61–70.

    Article  Google Scholar 

  51. Lynch H, Synder C, Wang SM. Considerations for comprehensive assessment of genetic predisposition in familial breast cancer. Breast J. 2015;21:67–75.

    Article  CAS  PubMed  Google Scholar 

  52. Cybulski C, Lubiński J, Wokołorczyk D, Kuźniak W, Kashyap A, Sopik V, et al. Mutations predisposing to breast cancer in 12 candidate genes in breast cancer patients from Poland. Clin Genet. 2014; doi: 10.1111/cge.12524.

  53. Ratajska M, Krygier M, Stukan M, Kuźniacka A, Koczkowska M, Dudziak M, et al. Mutational analysis of BRCA1/2 in a group of 134 consecutive ovarian cancer patients: novel and recurrent BRCA1/2 alterations detected by next generation sequencing. J Appl Genet. 2015;56:193–8.

    Article  CAS  PubMed  Google Scholar 

  54. Wong-Brown MW, Meldrum CJ, Carpenter JE, Clarke CL, Narod SA, Jakubowska A, et al. Prevalence of BRCA1 and BRCA2 germline mutations in patients with triple-negative breast cancer. Breast Cancer Res Treat. 2015;150:71–80.

    Article  CAS  PubMed  Google Scholar 

  55. Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6:pl1.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was supported by grant from Ministry of Science and Higher Education within the frames of the Iuventus Plus programme (IP2012 041172, supporting MM).

Author information

Authors and Affiliations

  1. Department of Genetics, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, 02-781, Warsaw, Poland

    Anna Kluska, Aneta Balabas, Dorota Nowakowska, Michal Mikula & Jerzy Ostrowski

  2. Department of Gastroenterology, Hepatology and Clinical Oncology, Medical Center for Postgraduate Education, 01-813, Warsaw, Poland

    Agnieszka Paziewska, Maria Kulecka & Jerzy Ostrowski

Authors
  1. Anna Kluska
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aneta Balabas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Agnieszka Paziewska
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Maria Kulecka
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dorota Nowakowska
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Michal Mikula
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jerzy Ostrowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Michal Mikula or Jerzy Ostrowski.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JO, MM conceived the study, participated in the research design, analyzed and interpreted the data, and drafted the manuscript. AK, AB, AP performed the experiments, analyzed the data. MK analyzed the data and contributed to manuscript drafting. DN provided samples and compiled clinical data. All authors have read and approve of the final version of the manuscript.

Additional files

Additional file 1:

Contains Table S1 and Table S2 with a list of single nucleotide variants and indels, respectively, found in BRCA1/2 genes.

Additional file 2:

Family tree harboring C1501X mutation inBRCA1. BRC; breast cancer, RRM; risk reduction mastectomy, RRA; risk reduction adnexectomy; DLBCL; diffuse large B-cell lymphoma.

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kluska, A., Balabas, A., Paziewska, A. et al. New recurrent BRCA1/2 mutations in Polish patients with familial breast/ovarian cancer detected by next generation sequencing. BMC Med Genomics 8, 19 (2015). https://doi.org/10.1186/s12920-015-0092-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12920-015-0092-2

Keywords

BMC Medical Genomics

ISSN: 1755-8794

Contact us