Skip to main content

Allelic variants of breast cancer susceptibility genes PALB2 and RECQL in the Latvian population

Abstract

Background

Large-scale case control studies revealed a number of moderate risk - low frequency breast cancer alleles of the PALB2 and RECQL genes. Some of these were reported as founder variants of Central and Eastern Europe. Based on highly similar founder variant spectra of the BRCA1 in Poland and Latvia, we decided to test the frequency of other common variants of moderate breast cancer risk — c.509_510delGA (rs515726124) and c.172_175delTTGT (rs180177143) of the PALB2 gene and c.1667_1667+3delAGTA variant of the RECQL gene in a breast cancer case-control series from Latvia to better understand the role of genes in susceptibility to breast cancer and their clinical significance.

Methods

The case-control study was performed based on an unselected breast cancer case group of 2480 women and a control group, including 1240 voluntary, to our knowledge unrelated, female donors without reported oncological disease.

Results

The calculated frequency for c.509_510delGA of the PALB2 gene in the case group is 0.35 and 0.00% in the control group, with respective relative risk (RR) 7.18 (CI 95% 0.37–138.75; p = 0.19). As for the PALB2 c.172_175delTTGT variant, the frequency in the case group of our study is 0.04%. In the control group of our study all individuals were homozygous for the wild-type allele, which lead to calculated RR = 1.50 (CI 95% 0.06–36.83; p-value = 0.80). There were no carriers of the RECQL variant c.1667_1667+3delAGTA identified in our case group and 2 heterozygotes were identified in the control group. The calculated RR = 0.26 (CI 95% 0.01–5.33; p-value = 0.38).

Conclusion

Results obtained for the PALB2 gene variants are able to supplement evidence on the allele frequency in breast cancer patients from the region of Central and Eastern Europe. Based on our results we cannot confirm the contribution of the RECQL variant c.1667_1667+3delAGTA allele to breast cancer development.

Peer Review reports

Background

High penetrance breast cancer susceptibility genes — BRCA1 and BRCA2 are responsible only for 5–10% of familial breast cancers [1]. Large-scale case control studies revealed a number of so-called moderate risk breast cancer alleles. Those can further be subdivided into high penetrance-low frequency (i.e. TP53, SKT-11, PTEN and CDH1) and moderate penetrance-low frequency (i.e. ATM, CHEK2, RAD51 and PALB2) alleles. The prevalence of moderate penetrance variants usually varies among different populations and requires statistical evidence from association studies of breast cancer cases and population-matched controls [1, 2]. Lately the RECQL gene is also considered a breast cancer susceptibility gene [3,4,5]. Many of the genetic variants of the mentioned genes still lack clinical validation as breast cancer susceptibility polymorphisms.

The PALB2 (Partner and Localizer of BRCA2) gene encoding a protein is involved in the intranuclear stabilization and localization of the BRCA2 protein and supports some of its functions in homologous recombination and double strand break repair. Monoallelic variants and a heterozygous state are proven to be associated with a high risk for breast cancer development, almost comparable to that of BRCA2 [6]. With a frequency ranging from 0.5 to 1.0% in general breast cancer populations the truncating allelic variants c.509_510delGA (rs515726124) and c.172_175delTTGT (rs180177143) have recently been discussed in the region of Central and Eastern Europe - Poland, Belarus, Germany and Russia [7, 8]. The first report of c.509_510delGA allele (PALB2) frequency identified 4 of 648 (0.6%) unrelated familial breast cancer patients from central Poland [9]. Noskowicz and colleagues identified the c.509_510delGA allele in 3/1008 (0.3%) German breast cancer patients, 2/994 (0.2%) Russian breast cancer patients and 5/1922 (0.3%) Belarusian breast cancer patients [7]. In 2015 another group of researchers from Poland published a large cohort analysis which showed frequencies of 0.61% for the c.509_510delGA allelic variant and 0.32% for the c.172_175delTTGT, respectively [8]. Clinical significance of the c.509_510delGA allelic variant based on the ClinVar database is pathogenic; for the c.172_175delTTGT allelic variant - conflicting interpretations of pathogenicity [10].

As for most established breast cancer susceptibility genes, RECQL (RECQ1) encodes a protein, functioning in DNA repair. As part of the RecQ DNA helicase family, its role is thought to be DNA unwinding, replication fork stabilisation and assisting branch migration and strand annealing [11]. The allelic variant c.1667_1667+3delAGTA in the RECQL gene is described as a founder mutation in the studied population from Poland, with a frequency of 0.23% in the group of unselected breast cancer cases and 0.04% in the control group with OR = 5.4 [5]. Based on in silico prediction this allelic variant leads to the splice site change and to changes in protein level p.K555delinsMYKLIHYSFR [12]. Recent publications on results for c.1667_1667+3delAGTA screening in breast cancer patients and controls from Eastern European and Central European populations have tried to clarify the exact magnitude of the risk. The results of a breast cancer case-control series from Belarus and Germany revealed OR = 1.23 (95% CI 0.44–3.47, p-value = 0.69) [13]. In the study on the RECQL variants in 427 women affected with breast or ovarian cancer from southwest Poland and West Ukraine no heterozygous carrier of the c.1667_1667 + 3delAGTA variant was found [14]. Altogether, the allelic variant might be considered a moderate-risk breast cancer susceptibility allele. Clinical significance of the variant is uncertain.

Based on highly similar founder variant spectra of BRCA1 in Poland and Latvia, we decided to test the frequency of other common variants of moderate breast cancer risk —c.509_510delGA (rs515726124) and c.172_175delTTGT (rs180177143) of the PALB2 gene, and the c.1667_1667+3delAGTA variant of the RECQL gene. The breast cancer case-control series from Latvia was genotyped to gain information on their frequency as well as a better understanding of the role of genes in susceptibility to breast cancer and their clinical significance.

Methods

The case-control study was performed based on an unselected breast cancer case group, including women who met the criteria for breast cancer (C-50) according to the International Classification of Diseases (ICD-10), and a control group, including voluntary, to our knowledge unrelated, female donors without reported oncological disease. The case group consisted of 2480 women and the control group consisted of 1240, included into the study between 2008 and 2015. Ages in the breast cancer group ranged from 24 to 86 years. Ages of the gender-matched controls ranged from 18 to 92 years. Informed consent was obtained from all individual participants included in the study.

The allelic variant c.509_510delGA of the PALB2 gene was analysed using the restriction fragment length polymorphism (RFLP) method. For amplification of a 322 bp long target region of exon 4 forward primer 5′- AGTCCTTTAACCCTGGAGAT-3′ and reverse primer 5′- GGTTCTGGAGAATCTGGAAG-3′ were used. Restriction endonuclease DdeI (New England Biolabs, Ipswich, Massachusetts, USA) recognising the allelic variant sequence was applied. Acquired fragments were separated in 2.5% agarose gel.

The target region of the RECQL allelic variant c.1667_1667 + 3delAGTA was amplified with forward primer 5′- TATTTCAGTCTGCTAGCTTAGTT-3′ and reverse primer 5′- TAATAGAAGCAGAGATTTCCATCAT-3′, resulting in a 540 bp fragment which was subjected to restriction endonuclease MspC1 (BIORON GmbH, Ludwigshafen, Germany) to cut DNA in the control site and in the case of the wild type allele, resulting in four fragments. RFLP was analysed in 2.5% agarose gel.

For analysis of the PALB2 gene allelic variant c.172_175delTTGT the target PCR product was subjected to the denaturing high performance liquid chromatography (DHPLC) method, according to the manufacturers protocol (Transgenomic Inc., Omaha, NE, USA). All primers for amplification of target gene regions were designed using NCBI Primer BLAST [15].

All protocols applied to analyse allelic variants were verified by Sanger sequencing according to the manufacturers protocol (Life Technologies, Carlsbad, CA, USA). Statistical analyses were performed using MedCalc for Windows, version 15.0 (MedCalc Software, Ostend, Belgium).

Results

Three allelic variants of the PALB2 and the RECQL genes were analysed in the case and control groups.

The calculated frequency for c.509_510delGA of the PALB2 gene was in line with results from the Belarusian and German populations, but lower than those reported in the Polish population, with respective relative risk (RR) 7.18 (CI 95% 0.37–138.75; p = 0.19) (Table 1). As for the PALB2 c.172_175delTTGT variant, the frequency in the case group of our study is significantly lower, as in the published data from Poland. In the control group of our study no heterozygous carriers were detected (Table 1), which lead to calculated RR = 1.50 (CI 95% 0.06–36.83; p-value = 0.80). There were no carriers identified in our case group and 2 heterozygotes were identified in the control group (Table 2). The calculated RR = 0.26 (CI 95% 0.01–5.33; p-value = 0.38).

Table 1 Frequency of the PALB2 gene allelic variants in breast cancer patients and controls from Easter European and Central European populations
Table 2 Frequency of the RECQL gene allelic variant in breast cancer patients and controls from Eastern European and Central European populations

Variant c.1667_1667+3delAGTA of the RECQL gene reported as founder variant in the Polish population was also analysed in our study. There were no carriers identified in our case group and 2 heterozygotes were identified in the control group (Table 2). The calculated RR = 0.26 (CI 95% 0.01–5.33; p-value 0.38).

Discussion

The PALB2 gene variants have been identified as breast cancer susceptibility alleles by previously published research from Eastern and Central Europe, as well as the ClinVar database which has classified the c.509_510delGA allelic variant as pathogenic. Our results are in concert with previously published findings and indicate c.509_510delGA as a low-frequency variant in the tested population, which should not be overlooked as a causative variant in familial breast cancer. The PALB2 c.172_175delTTGT variant was found at very low frequency in the case group. Due to the small number of analysed cases, the results cannot contribute to the interpretation of variant pathogenicity. However, allele frequency is comparable to that of neighbouring populations, excluding Poland.

The results for RECQL variant c.1667_1667+3delAGTA in the control group show comparable frequency to that reported by Bogdanova et al. [13], and much higher as reported by Cybulski et al. [5]. We did not detect any heterozygotes in the case group. Based on the ExAC database, the frequency of c.1667_1667+3delAGTA is 0.035% [16]. The control group results of Cybulski et al. are in line with the ExAC database; however, our study results and those of Bogdanova et al. yielded higher allele frequencies in the control group. Interestingly, in the German and Belarusian populations, the difference between allele frequency in case and control groups is minimal. Taking into account the broad age range of our control group, we cannot exclude the possibility of positive cases developing disease in later life.

The combined data of the RECQL variant c.1667_1667+3delAGTA frequency in case-control studies from Eastern and Central European populations cannot support assigning this variant to the group of moderate risk alleles. More case-control study results from the neighbouring populations are needed to confirm the impact of this variant on the development of breast cancer.

Conclusion

Results obtained for the PALB2 gene variants are able to supplement evidence on the allele frequency in breast cancer patients from the region of Central and Eastern Europe. Based on our results we cannot confirm the contribution of the RECQL variant c.1667_1667+3delAGTA allele to breast cancer development.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Apostolou P, Fostira F. Hereditary breast cancer: the era of new susceptibility genes. Biomed Res Int. 2013;2013:747318.

    Article  Google Scholar 

  2. Hollestelle A, Wasielewski M, Martens JW, Schutte M. Discovering moderate-risk breast cancer susceptibility genes. Curr Opin Genet Dev. 2010;20(3):268–76.

    Article  CAS  Google Scholar 

  3. Banerjee T, Brosh RM Jr. RECQL: a new breast cancer susceptibility gene. Cell Cycle. 2015;14(22):3540–3.

    Article  CAS  Google Scholar 

  4. Akbari MR, Cybulski C. RECQL: a DNA helicase in breast cancer. Oncotarget. 2015;6(29):26558–9.

    Article  Google Scholar 

  5. Cybulski C, Carrot-Zhang J, Kluźniak W, Rivera B, Kashyap A, Wokołorczyk D, et al. Germline RECQL mutations are associated with breast cancer susceptibility. Nat Genet. 2015;47(6):643–6.

    Article  CAS  Google Scholar 

  6. Couch FJ, Hart SN, Sharma P, Toland AE, Wang X, Miron P, et al. Inherited mutations in 17 breast cancer susceptibility genes among a large triple-negative breast cancer cohort unselected for family history of breast cancer. J Clin Oncol. 2015;33(4):304–11.

    Article  CAS  Google Scholar 

  7. Noskowicz M, Bogdanova N, Bermisheva M, Takhirova Z, Antonenkova N, Khusnutdinova E, et al. Prevalence of PALB2 mutation c.509_510delGA in unselected breast cancer patients from central and Eastern Europe. Familial Cancer. 2014;13(2):137–42.

    Article  CAS  Google Scholar 

  8. Cybulski C, Kluźniak W, Huzarski T, Wokołorczyk D, Kashyap A, Jakubowska A, et al. Clinical outcomes in women with breast cancer and a PALB2 mutation: a prospective cohort analysis. Lancet Oncol. 2015;16(6):338–44.

    Article  Google Scholar 

  9. Dansonka-Mieszkowska A, Kluska A, Moes J, Dabrowska M, Nowakowska D, Niwinska A, et al. A novel germline PALB2 deletion in polish breast and ovarian cancer patients. BMC Med Genet. 2010;11(1):20.

    Article  Google Scholar 

  10. Landrum MJ, Lee JM, Benson M, Brown GR, Chao C, Chitipiralla S, et al. ClinVar: improving access to variant interpretations and supporting evidence. Nucleic Acids Res. 2017;46(D1):D1062–7.

    Article  Google Scholar 

  11. Pike ACW, Gomathinayagam S, Swuec P, Berti M, Zhang Y, Schnecke C, et al. Human RECQ1 helicase-driven DNA unwinding, annealing, and branch migration: insights from DNA complex structures. Proc Natl Acad Sci U S A. 2015;112(14):4286–91.

    Article  CAS  Google Scholar 

  12. Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nat Methods. 2014;11(4):361–2.

    Article  CAS  Google Scholar 

  13. Bogdanova N, Pfeifer K, Schürmann P, Antonenkova N, Siggelkow W, Christiansen H, et al. Analysis of a RECQL splicing mutation, c.1667_1667+3delAGTA, in breast cancer patients and controls from Central Europe. Familial Cancer. 2017;16(2):181–6.

    Article  CAS  Google Scholar 

  14. Nguyen-Dumont T, Myszka A, Karpinski P, Sasiadek MM, Akopyan H, Hammet F, et al. FANCM and RECQL genetic variants and breast cancer susceptibility: relevance to South Poland and West Ukraine. BMC Med Genet. 2018;19(1):12.

    Article  Google Scholar 

  15. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinf. 2012;13(1):134.

    Article  CAS  Google Scholar 

  16. Lek M, Karczewski K, Minikel E, Samocha K, Banks E, Fennell T, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016;536:258–92.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the state research programme “Biomedicine for Public Health (BIOMEDICINE)” project 5 “Personalised cancer diagnostics and treatment effectiveness evaluation”.

Author information

Authors and Affiliations

Authors

Contributions

PH contributed to experimental data collection, and to data analysis and was a major contributor in writing the manuscript. RH, LAP and QQ equally contributed to experimental data collection and data analysis. GT, LG, AI, JG and EM contributed to data analysis, manuscript writing and critical review equally. ZD contributed to study design, data analysis, manuscript writing and critical review and give final approval of the version to be submitted and any revised version. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Zanda Daneberga.

Ethics declarations

Ethics approval and consent to participate

The study was performed with approval of the Central Committee of Medical Ethics (decision No1/26–05-17 from January 26th, 2017), and written informed consent was obtained from all involved patients and healthy donors.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hilz, P., Heinrihsone, R., Pätzold, L.A. et al. Allelic variants of breast cancer susceptibility genes PALB2 and RECQL in the Latvian population. Hered Cancer Clin Pract 17, 17 (2019). https://doi.org/10.1186/s13053-019-0116-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13053-019-0116-6

Keywords