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Brief Report

Prevalence of Recurrent Mutations Predisposing to Breast Cancer in Early-Onset Breast Cancer Patients from Poland

by
Emilia Rogoża-Janiszewska
1,*,
Karolina Malińska
1,
Cezary Cybulski
1,
Anna Jakubowska
1,
Jacek Gronwald
1,
Tomasz Huzarski
1,
Marcin Lener
1,
Bohdan Górski
1,
Wojciech Kluźniak
1,
Helena Rudnicka
1,
Mohammad R. Akbari
2,3,
Aniruddh Kashyap
1,
Steven A. Narod
2,3,
Jan Lubiński
1,
Tadeusz Dębniak
1 and
on behalf of the Polish Hereditary Breast Cancer Consortium
1
Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, 71-252 Szczecin, Poland
2
Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto ON M5G 1N8, Canada
3
Dalla Lana School of Public Health, University of Toronto, Toronto ON M5T 3M7, Canada
*
Author to whom correspondence should be addressed.
Membership of the Polish Hereditary Breast Cancer Consortium is provided in the Acknowledgments.
Cancers 2020, 12(8), 2321; https://doi.org/10.3390/cancers12082321
Submission received: 16 July 2020 / Revised: 8 August 2020 / Accepted: 13 August 2020 / Published: 17 August 2020
(This article belongs to the Section Cancer Causes, Screening and Diagnosis)

Abstract

:
There are twenty recurrent mutations in six breast-cancer-predisposing genes in Poland (BRCA1, BRCA2, CHEK2, PALB2, NBN, and RECQL). The frequencies of the twenty alleles have not been measured in a large series of early-onset breast cancer patients from Poland unselected for family history. We genotyped 2464 women with breast cancer diagnosed below age 41 years for twenty recurrent germline mutations in six genes, including BRCA1, BRCA2 CHEK2, PALB2, NBN, and RECQL. A mutation in one of the six genes was identified in 419 of the 2464 early-onset breast cancer cases (17%), including 22.4% of those cases diagnosed below age 31. The mutation frequency was 18.8% for familial breast cancer cases and 6% for non-familial cases. Among women with breast cancer below age 31, the mutation frequency was 23.6% for familial cases and 17.4% in non-familial cases. The majority of mutations (76.2%) were seen in BRCA1 and BRCA2. In Poland, a panel of twenty recurrent mutations in six genes can identify a genetic basis for a high percentage of early-onset cases and testing is recommended for all women with breast cancer at age 40 or below.

1. Introduction

Breast cancer is diagnosed in 2.1 million women each year and results in 600,000 deaths [1]. In Poland, the incidence of breast cancer is 93.42 per 100,000 per year and is relatively low by European standards [2]. Breast cancer accounts for about one-fourth of all cancer cases diagnosed in Polish women, and approximately one thousand women under the age of 39 were diagnosed with breast cancer in Poland in 2016 [2]. The incidence of breast cancer among premenopausal women has increased by approximately 1.5-fold over the past three decades; however, the incidence of breast cancer in young women diagnosed at age less than 40 years is relatively stable around the world [3].
There are two very important breast cancer susceptibility genes, BRCA1 and BRCA2. Other genes which were reported to be associated with breast cancer susceptibility include CHEK2, PALB2, TP53, PTEN, CDH1, NBN, ATM RAD50, BARD1, and RECQL [3,4,5].
Poland is homogeneous from a genetic perspective and the range of mutant alleles is limited, and a high percentage of all mutations are founder mutations. In ethnically-homogeneous populations, it is valuable to identify such common founder mutations in cancer-predisposing genes which may facilitate genetic testing. In our previous study, twenty recurrent mutations were found in six breast-cancer-predisposing genes (BRCA1, BRCA2, CHEK2, PALB2, NBN, and RECQL) in Polish breast cancer patients [4]. The twenty founder mutations were detected in 421 of 1018 (41%) Polish women with a strong family history of breast cancer (the mean number of breast cancers per family was 3.6 and the mean age of diagnosis of the probands was 44 years), including BRCA1/2 alleles seen in 354 cases and non-BRCA1/2 mutations seen in 67 cases [4]. The thirteen BRCA1 and BRCA2 mutations in the panel represented 84% of all BRCA1/2 mutations and the three CHEK2 truncating mutations constituted 95% of all CHEK2 mutations. The two recurrent PALB2 mutations represented 83% of all PALB2 mutations [4]. In total, the panel covered about 80% of all BRCA1/2, CHEK2, PALB2, NBN, and RECQL mutation detection in Polish high-risk families with breast cancer.
However, the frequencies of these twenty mutant alleles of BRCA1/2, CHEK2, PALB2, NBN, and RECQL have not been measured in a large series of early-onset breast cancer patients from Poland.
The goal of the current study was to estimate the prevalence of these twenty alleles in six genes in Polish early-onset breast cancer patients.

2. Results

A positive family history of cancer was observed in 1661 of 2354 (70.6%) patients diagnosed at age 40 or below, including 271 out of 340 (79.7%) patients diagnosed at age 30 or below (Table 1 and Table 2). Family history was missing for 110 cases.
We found a pathogenic mutation in 419 of the 2464 early-onset breast cancer cases (17%) (Table 3). The mutation frequency was 22.4% for those diagnosed at age 30 or below (Table 4). Among 2464 cases diagnosed at age 40 or below, 18.8% of familial cases and 6% of non-familial cases carried a mutation (Table 1). Among 340 breast cancer cases diagnosed at age 30 or below, 23.6% of familial cases and 17.4% of non-familial cases carried a mutation (Table 2).
As expected, the majority of mutations (72.3%) were in BRCA1 and BRCA2. We identified a BRCA1 mutation in 301 out of 2464 (12.2%) cases and a BRCA2 mutation in two of the cases (0.08%).
Seven recurrent mutations of CHEK2, PALB2, NBN, and RECQL represented the other 27.7% of all mutation-positive cases. Three different truncating mutations in CHEK2 were seen in 77 cases (3.1%). A PALB2 mutation was identified in 19 women (0.8%), and a RECQL recurrent variant was detected in two women (0.08%) (Table 3).
We calculated the odds ratios for early breast cancer for selected founder mutations by comparing mutation frequencies observed in this study in patients diagnosed at age 40 or below to those reported in a large series of population controls in our previous studies [3,5,6,7,8,9,10,11,12]. The odds ratios for breast cancer diagnosed at age 40 or below were 28.8 for BRCA1 (95% CI 18.6–44.5); 3.8 for CHEK2 (95% CI 2.5–5.5); and 3.6 for PALB2 (95% CI 1.6–7.5), and all were statistically significant. The odds ratio for NBN was 1.3 (95% CI 0.7–2.5), and it was not significant (p = 0.5). The odds ratio for RECQL was 1.9 (95% CI 0.3–13.6), and it was also not significant (p = 0.9) (Table 3).

3. Discussion

We found that one of the twenty mutations was present in 17% of breast cancer cases diagnosed at age 40 or below and in 22.4% of all breast cancer cases diagnosed at age 30 or below. BRCA1 mutations were more common (12.2% among breast cancer cases diagnosed at age 40 or below), while mutations in the BRCA2 gene were rare (0.08% in breast cancer patients diagnosed at age 40 or below). We confirmed a high risk of breast cancer among young BRCA1 female carriers (almost 30-fold increase for breast cancer at age 40 or below). This means that among women with a BRCA1 mutation in Poland, the risk of cancer at age 40 is much higher than that in the general population, but the odds ratio cannot be generalized to older women.
Truncating mutations of the CHEK2 gene (c.444+1G>A, c.1100delC, del5395(exon10-11del)), cause a two- to three-fold risk of breast cancer [5,13]. Among Polish women who carry a truncating CHEK2 mutation without a family history of breast cancer, the risk increase is about three-fold, and the risk is higher (increased about five-fold) in carriers of a truncating mutation of CHEK2 in the presence of positive family history of breast cancer [4]. In our study we found that the risk increase, given a CHEK2 truncating mutation, begins below age 40 (OR = 3.8; 95% CI 2.5–5.6).
Mutations in the NBN gene (also called NBS1) are responsible for the Nijmegen breakage syndrome (NBS), which is characterized by spontaneous chromosomal instability, immunodeficiency, and a predisposition to cancer. Approximately 90.0% of NBS patients carry the homozygous mutation 657del5 (c.657_661delACAAA) in exon 6, which has been predominantly identified in Slavic populations and confers a two-fold risk for breast cancer development [14]. In a meta-analysis of seven studies, strong evidence was presented for a moderately increased breast cancer risk associated with a truncating variant, c.657del5, with a relative risk of 2.7 [15]. Another study from Poland provided evidence for an association between the variant and early-onset breast cancer [16]. In our study we found that the risk of breast cancer <41 years was not increased (OR = 1.3; 95% CI 0.7–2.5).
Approximately one percent of cases had one of two recurrent mutations in the PALB2 gene. In Finland, Canada, and Poland, these two mutations are present in 0.5–1.0% of all breast cancers [17,18,19]. PALB2 mutations have been associated with a relative risk up to five-fold, although studies in different populations have produced divergent estimates [6,18,19,20]. In Poland, two founder PALB2 mutations were detected (c.509_510delGA, c.172_175delTTGT) and were associated with a 4.5-fold increased risk of breast cancer in unselected Polish women [4,21] similar to the odds ratio we found for young breast cancer patients (OR = 3.6; 95% CI 1.7–7.9).
In this study we found that the risk increase of breast cancer development in carriers of the RECQL mutation is 1.9 (95% CI 0.27–13.6), but the mutation was rare (two cases) and the odds ratio was not statistically significant. The RECQL gene mutation was previously reported to increase the risk of breast cancer by five-fold among unselected cases from Poland [4].
It seems reasonable to use the panel of twenty Polish founder mutations as a test for all young breast cancer patients. Our panel has a high sensitivity. We propose to use this panel as an inexpensive prescreening tool. Full sequencing (in particular, using gene panels including BRCA1/2) is warranted in women with early-onset breast cancer, in particular for those with a positive family history and those with breast cancers with clinical features characteristic of BRCA1-related tumors. The decision of management with mutation carriers will depend on the type of the detected mutation and on the clinical and pedigree data, i.e., in case of a BRCA1/2 mutation, appropriate surveillance and preventive surgery are advised. The identification of a BRCA1/2 mutation at the time of diagnosis can also have an impact on selecting patients for targeted therapy. Cisplatin has been reported to be effective and generally well tolerated among Polish BRCA1 patients with breast cancer [22,23]. Mutations in CHEK2 have been associated with resistance to anthracycline-based chemotherapy in breast cancer patients [24], but further studies are needed.
Of note, we observed that the frequencies of the twenty predisposing mutations were higher (43%) in families with strong breast cancer clustering than in women with early-onset breast cancer (17%) [4] (Table 5). Therefore, strong family history seems to be a stronger indicator of heredity than early age of diagnosis.

4. Materials and Methods

4.1. Cases

The women with breast cancer were selected from a registry of 25,000 breast cancer cases housed at the Hereditary Cancer Center in Szczecin. Patients were diagnosed in 16 different centers in Poland between 2000 and 2017. All cases were confirmed to have invasive breast cancer through review of the pathology reports.
Patients were invited to participate and provide blood samples within 12 months from diagnosis. During the patient interview, the goals of the study were explained, informed consent was obtained, genetic counseling was given, and a blood sample taken for DNA analysis. All patients and control subjects were of European ancestry and ethnic Poles. Family histories were collected during an interview. A positive family history was defined as the occurrence of one or more breast cancers among first or second degree relatives. For this study we included 2464 consecutive patients diagnosed with early-onset breast cancer at age 40 or below (mean age 37, range 18–40).
The study conformed to the Declaration of Helsinki, and all participants signed an informed consent document prior to participation. The study was approved by the institutional review board of the Pomeranian Medical University (KB-0012/97/17, approval date 19 June 2017).

4.2. Analysis of the Most Common BRCA Founder Mutations

DNA was isolated from blood taken from the participants using standard methods. Peripheral blood leukocytes were isolated and subsequent DNA extraction undertaken in the Department of Genetics and Pathology in Szczecin.
Genetic tests for three common Polish BRCA1 mutations were performed using multiplex-polymerase chain reaction assay. The 5382insC variant in exon 20 and the 4153delA variant in exon 11 were detected using an allele-specific amplification PCR (ASA-PCR). The last recurrent mutation c.181T>G in exon 5 of BRCA1 was detected using restriction fragment length polymorphism PCR (RFLP-PCR) and Ava II enzyme [3]. All other recurrent mutations in the BRCA1 gene (c.66_67delAG, c.3700_3704delGTAAA, c.5251C>T, c.676delT, c.1687C>T, c.3756_3759delGTCT) and BRCA2 gene (c.3847_3848delGT, c.7910_7914delCCTTT, c.658_659delGT, c.5946delT) were genotyped using TaqMan assay (Applied Biosystems/Life Technologies, Foster City, CA, USA) the LightCycler Real-Time PCR 480 system (Roche Life Science, Penzberg, Germany). The primer and probe sequences are available upon request. Laboratory technicians were blinded to case-control status.

4.3. Analysis of the Non-BRCA Founder Mutations

Other founder genes, CHEK2 (c.1100delC, c.444+1G>A, del5395), PALB2 (c.509_510delGA, c.172_175delTTGT), NBN 657del5 (c.657_661delACAAA), and RECQL (c.1667_1667+3delAGTA), were genotyped using TaqMan assay (Applied Biosystems/Life Technologies) and the LightCycler Real-Time PCR 480 system (Roche Life Science). The primer and probe sequences are available upon request. Laboratory technicians were blinded to case-control status. A large deletion of exon 9–10 of CHEK2 gene was genotyped using multiplex-PCR reaction. This multiplex-PCR method was based on our report in 2000 and validated later [4,7,8,9].
In order to confirm germline recurrent small mutations in the BRCA1, BRCA2, CHEK2, PALB2, NBN, and RECQL genes, Sanger sequencing was performed from a second independent blood sample. The sequencing reaction was performed using a BigDye Terminator v3.1 Cycle Sequencing Kit (Life Technologies). Sequencing products were analyzed using a genetic analyzer ABI Prism 3500XL (Life Technologies). All BRCA1/2, CHEK2, PALB2, NBN, and RECQL sequences were compared to the NCBI reference sequence (RefSeq) reported in GenBank (https://www.ncbi.nlm.nih.gov/genbank/): NM_007294.3, NM_000059.3, NM_001005735.1, NM_024675.3, NM_002485.4, NM_002907.3.

4.4. Statistical Analysis

We estimated the odds ratios for selected recurrent mutations to investigate their association with early-onset breast cancer risk. To do so, we compared mutation frequencies in patients with breast cancer (cases) to those seen in Polish cancer-free individuals (controls). For BRCA1, CHEK2, NBN, PALB2, BLM, and RECQL, as a reference we used mutation frequencies in a large series of controls from our previous studies [4,8,9,10,11,12,13,21,25]. Odds ratios (OR) were generated from two-by-two tables, and statistical significance was assessed with the Fisher exact test or the Chi-squared test where appropriate. The odds ratios were generated for women with breast cancer below age 41 and for women with breast cancer below age 31.

5. Conclusions

The goal of the current study was to estimate the prevalence of twenty alleles in six genes, BRCA1/2, CHEK2, PALB2, NBN, and RECQL, in Polish early-onset breast cancer patients. In the current study we found that this panel of twenty recurrent mutations can identify a genetic basis for approximately one-fifth of early-onset cases, and testing is recommended for all women with breast cancer under age 40. The identification of a mutation at the time of diagnosis can have an impact on selecting patients for preventive surgery or targeted therapy.

Author Contributions

E.R.-J. designed the study, analyzed study data, and drafted the manuscript. E.R.-J., K.M., W.K., H.R., and A.K. selected and prepared DNA samples for sequencing and genotyping and performed genotyping. T.D., C.C., T.H., J.G., and J.J. enrolled patients and controls for the study and collected phenotypic data for the study. S.A.N., A.J., M.L., B.G., T.D., M.R.A., C.C., and J.L. assisted in coordination of the study and in drafting the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by National Science Centre, Poland; project number: 2015/17/B/NZ5/02543.

Acknowledgments

Other members of the Polish Hereditary Breast Cancer Consortium are M. Szwiec, M. Bębenek, D. Godlewski, S. Gozdecka-Grodecka, S. Goźdź, O. Haus, H. Janiszewska, M. Jasiówka, E. Kilar, R. Kordek, B. Kozak-Klonowska, G. Ksiązkiewicz, A. Mackiewicz, E. Marczak, J. Mituś, Z. Morawiec, S. Niepsuj, R. Sibilski, M. Siołek, J. Sir, D. Surdyka, A. Synowiec, C. Szczylik, R. Uciński, B. Waśko, R. Wiśniowski, T. Byrski.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

OR—odds ratio; CI—confidence interval; PCR—polymerase chain reaction.

References

  1. WHO Breast Cancer. Available online: http://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en/ (accessed on 17 June 2020).
  2. Raporty KRN. Available online: http://onkologia.org.pl/raporty/#tabela_nowotwor (accessed on 17 June 2020).
  3. Narod, S.A. Breast cancer in young women. Nat. Rev. Clin. Oncol. 2012, 9, 460–470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Cybulski, C.; Kluźniak, W.; Huzarski, T.; Wokołorczyk, D.; Kashyap, A.; Rusak, B.; Stempa, K.; Gronwald, J.; Szymiczek, A.; Bagherzadeh, M.; et al. The spectrum of mutations predisposing to familial breast cancer in Poland. Int. J. Cancer 2019, 145, 3311–3320. [Google Scholar] [CrossRef] [PubMed]
  5. Vahteristo, P.; Bartkova, J.; Eerola, H.; Syrjäkoski, K.; Ojala, S.; Kilpivaara, O.; Tamminen, A.; Kononen, J.; Aittomäki, K.; Heikkilä, P.; et al. A CHEK2 Genetic Variant Contributing to a Substantial Fraction of Familial Breast Cancer. Am. J. Hum. Genet. 2002, 71, 432–438. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Southey, M.C.; Goldgar, D.E.; Winqvist, R.; Pylkäs, K.; Couch, F.; Tischkowitz, M.; Foulkes, W.D.; Dennis, J.; Michailidou, K.; van Rensburg, E.J.; et al. PALB2, CHEK2 and ATM rare variants and cancer risk: Data from COGS. J. Med. Genet. 2016, 53, 800–811. [Google Scholar] [CrossRef] [Green Version]
  7. Górski, B.; Byrski, T.; Huzarski, T.; Jakubowska, A.; Menkiszak, J.; Gronwald, J.; Pluzańska, A.; Bebenek, M.; Fischer-Maliszewska, L.; Grzybowska, E.; et al. Founder mutations in the BRCA1 gene in Polish families with breast-ovarian cancer. Am. J. Hum. Genet. 2000, 66, 1963–1968. [Google Scholar] [CrossRef] [Green Version]
  8. Lubiński, J.; Górski, B.; Huzarski, T.; Byrski, T.; Gronwald, J.; Serrano-Fernández, P.; Domagała, W.; Chosia, M.; Uciński, M.; Grzybowska, E.; et al. BRCA1-positive breast cancers in young women from Poland. Breast Cancer Res. Treat. 2006, 99, 71–76. [Google Scholar] [CrossRef]
  9. Cybulski, C.; Górski, B.; Gronwald, J.; Huzarski, T.; Byrski, T.; Debniak, T.; Jakubowska, A.; Wokołorczyk, D.; Gliniewicz, B.; Sikorski, A.; et al. BRCA1 mutations and prostate cancer in Poland. Eur. J. Cancer Prev. Off. J. Eur. Cancer Prev. Organ. 2008, 17, 62–66. [Google Scholar] [CrossRef]
  10. Antczak, A.; Kluźniak, W.; Wokołorczyk, D.; Kashyap, A.; Jakubowska, A.; Gronwald, J.; Huzarski, T.; Byrski, T.; Dębniak, T.; Masojć, B.; et al. A common nonsense mutation of the BLM gene and prostate cancer risk and survival. Gene 2013, 532, 173–176. [Google Scholar] [CrossRef]
  11. Masojć, B.; Górski, B.; van de Wetering, T.; Dębniak, T.; Cybulski, C.; Jakubowska, A.; Mędrek, K.; Rudnicka, H.; Dwight, Z.L.; Lubiński, J. Genotyping by induced Förster Resonance Energy Transfer(iFRET) mechanism and simultaneous mutation scanning. Hum. Mutat. 2013, 34, 636–643. [Google Scholar] [CrossRef]
  12. Lener, M.R.; Scott, R.J.; Kluźniak, W.; Baszuk, P.; Cybulski, C.; Wiechowska-Kozłowska, A.; Huzarski, T.; Byrski, T.; Kładny, J.; Pietrzak, S.; et al. Do founder mutations characteristic of some cancer sites also predispose to pancreatic cancer? Int. J. Cancer 2016, 139, 601–606. [Google Scholar] [CrossRef] [Green Version]
  13. Cybulski, C.; Wokołorczyk, D.; Jakubowska, A.; Huzarski, T.; Byrski, T.; Gronwald, J.; Masojć, B.; Deebniak, T.; Górski, B.; Blecharz, P.; et al. Risk of breast cancer in women with a CHEK2 mutation with and without a family history of breast cancer. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2011, 29, 3747–3752. [Google Scholar] [CrossRef] [PubMed]
  14. Varon, R.; Seemanova, E.; Chrzanowska, K.; Hnateyko, O.; Piekutowska-Abramczuk, D.; Krajewska-Walasek, M.; Sykut-Cegielska, J.; Sperling, K.; Reis, A. Clinical ascertainment of Nijmegen breakage syndrome (NBS) and prevalence of the major mutation, 657del5, in three Slav populations. Eur. J. Hum. Genet. 2000, 8, 900–902. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Zhang, G.; Zeng, Y.; Liu, Z.; Wei, W. Significant association between Nijmegen breakage syndrome 1 657del5 polymorphism and breast cancer risk. Tumour Biol. J. Int. Soc. Oncodev. Biol. Med. 2013, 34, 2753–2757. [Google Scholar] [CrossRef] [PubMed]
  16. Steffen, J.; Nowakowska, D.; Niwińska, A.; Czapczak, D.; Kluska, A.; Piatkowska, M.; Wiśniewska, A.; Paszko, Z. Germline mutations 657del5 of the NBS1 gene contribute significantly to the incidence of breast cancer in Central Poland. Int. J. Cancer 2006, 119, 472–475. [Google Scholar] [CrossRef]
  17. Erkko, H.; Xia, B.; Nikkilä, J.; Schleutker, J.; Syrjäkoski, K.; Mannermaa, A.; Kallioniemi, A.; Pylkäs, K.; Karppinen, S.M.; Rapakko, K.; et al. A recurrent mutation in PALB2 in Finnish cancer families. Nature 2007, 446, 316–319. [Google Scholar] [CrossRef]
  18. Foulkes, W.D.; Ghadirian, P.; Akbari, M.R.; Hamel, N.; Giroux, S.; Sabbaghian, N.; Darnel, A.; Royer, R.; Poll, A.; Fafard, E.; et al. Identification of a novel truncating PALB2 mutation and analysis of its contribution to early-onset breast cancer in French-Canadian women. Breast Cancer Res. 2007, 9, R83. [Google Scholar] [CrossRef] [Green Version]
  19. Dansonka-Mieszkowska, A.; Kluska, A.; Moes, J.; Dabrowska, M.; Nowakowska, D.; Niwinska, A.; Derlatka, P.; Cendrowski, K.; Kupryjanczyk, J. A novel germline PALB2 deletion in Polish breast and ovarian cancer patients. BMC Med. Genet. 2010, 11, 20. [Google Scholar] [CrossRef] [Green Version]
  20. Antoniou, A.C.; Casadei, S.; Heikkinen, T.; Barrowdale, D.; Pylkäs, K.; Roberts, J.; Lee, A.; Subramanian, D.; De Leeneer, K.; Fostira, F.; et al. Breast-Cancer Risk in Families with Mutations in PALB2. N. Engl. J. Med. 2014, 371, 497–506. [Google Scholar] [CrossRef] [Green Version]
  21. Cybulski, C.; Kluźniak, W.; Huzarski, T.; Wokołorczyk, D.; Kashyap, A.; Jakubowska, A.; Szwiec, M.; Byrski, T.; Dębniak, T.; Górski, B.; et al. Clinical outcomes in women with breast cancer and a PALB2 mutation: A prospective cohort analysis. Lancet Oncol. 2015, 16, 638–644. [Google Scholar] [CrossRef]
  22. Byrski, T.; Huzarski, T.; Dent, R.; Marczyk, E.; Jasiowka, M.; Gronwald, J.; Jakubowicz, J.; Cybulski, C.; Wisniowski, R.; Godlewski, D.; et al. Pathologic complete response to neoadjuvant cisplatin in BRCA1-positive breast cancer patients. Breast Cancer Res. Treat. 2014, 147, 401–405. [Google Scholar] [CrossRef]
  23. Gronwald, J.; Byrski, T.; Lubinski, J.; Narod, S.A. Cisplatin in breast cancer treatment in BRCA1 carriers. Hered. Cancer Clin. Pract. 2012, 10, A17. [Google Scholar] [CrossRef] [Green Version]
  24. Knappskog, S.; Chrisanthar, R.; Løkkevik, E.; Anker, G.; Østenstad, B.; Lundgren, S.; Risberg, T.; Mjaaland, I.; Leirvaag, B.; Miletic, H.; et al. Low expression levels of ATM may substitute for CHEK2/TP53 mutations predicting resistance towards anthracycline and mitomycin chemotherapy in breast cancer. Breast Cancer Res. 2012, 14, R47. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Cybulski, C.; Carrot-Zhang, J.; Kluźniak, W.; Rivera, B.; Kashyap, A.; Wokołorczyk, D.; Giroux, S.; Nadaf, J.; Hamel, N.; Zhang, S.; et al. Germline RECQL mutations are associated with breast cancer susceptibility. Nat. Genet. 2015, 47, 643–646. [Google Scholar] [CrossRef] [PubMed]
Table 1. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <41 years, by family history of breast cancer.
Table 1. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <41 years, by family history of breast cancer.
GeneVariantFamily History
Positive (n = 1661)Negative (n = 693)
BRCA1c.5266dupC141 (8.5%)11 (1.6%)
c.181T>G65 (3.9%)5 (0.7%)
c.4035delA8 (0.5%)0 (0%)
c.66-67delAG6 (0.4%)0 (0%)
c.3700_3704delGTAAA8 (0.5%)1 (0.1%)
c.5251C>T5 (0.3%)0 (0%)
c.5346G>A1 (0.06%)0 (0%)
All BRCA1301 (12.2%)
BRCA2c.3847_3848delGT1 (0.06%)0 (0%)
c.658_659delGT1 (0.06%)0 (0%)
All BRCA22 (0.08%)
CHEK2c.1100delC11 (0.7%)5 (0.7%)
c.444+1G>A28 (1.7%)6 (0.9%)
del539516 (1%)3 (0.4%)
All CHEK277 (3.1%)
PALB2c.509_510delGA5 (0.3%)1 (0.1%)
c.172_175delTTGT8 (0.5%)5 (0.7%)
All PALB219 (0.8%)
NBNc.657_661delACAAA8 (0.5%)5 (0.7%)
All NBN18 (0.7%)
RECQLc.1667_1667+3delAGTA1 (0.06%)1 (0.1%)
All RECQL2 (0.08%)
Total number of carriers313 (18.8%)43 (6.2%)
Family cancer history was missing for 110 cases diagnosed at age beetwen 31 and 40.
Table 2. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <31 years, by family history of breast cancer.
Table 2. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <31 years, by family history of breast cancer.
GeneVariantFamily History
Positive (n = 271)Negative (n = 69)
BRCA1c.5266dupC28 (10.3%)7 (10.2%)
c.181T>G12 (4.4%)1 (1.4%)
c.4035delA2 (0.7%)0
c.66-67delAG1 (0.3%)0
c.3700_3704delGTAAA2 (0.7%)0
c.5251C>T1 (0.4%)0
c.5346G>A1 (0.4%)0
All BRCA155(16%)
BRCA2c.658_659delGT1 (0.4%)0
All BRCA20
CHEK2c.1100delC01 (1.4%)
c.444+1G>A9 (3.3%)1 (1.4%)
del53952 (0.7%)0
All CHEK213 (3.8%)
PALB2c.509_510delGA1 (0.4%)0
c.172_175delTTGT3 (1.1%)2 (2.9%)
All PALB26 (1.8%)
RECQLc.1667_1667+3delAGTA1 (0.4%)0
All RECQL1 (0.3%)
Total number of carriers64 (23.6%)12 (17.4%)
Family cancer history was available for all cases diagnosed at age 30 or below.
Table 3. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <41 years and in controls, with corresponding odds ratios.
Table 3. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <41 years and in controls, with corresponding odds ratios.
GeneVariantClassificationTotal Carriers (n = 2464)ControlsOdds Ratio (95% CI)p-Value
BRCA1c.5266dupCframeshift_variant184 (7.5%)17/4570 (0.4%)21.6 (13.116–35.617)<0.0001
c.181T>Gmissense83 (3.4%)3/4570 (0.07%)53.1 (16.749–168.14)<0.0001
c.4035delAframeshift_variant13 (0.5%)2/4570 (0.04%)12.1 (2.731–53.745)<0.0001
c.66-67delAGframeshift_variant6 (0.2%)---
c.3700_3704delGTAAAframeshift_variant9 (0.3%)---
c.5251C>Tstop_gained5 (0.2%)---
c.5346G>Astop_gained1 (0.04%)---
All BRCA1301 (12.2%)22/4570 (0.5%)28.8 (18.602–44.489)<0.0001
BRCA2c.3847_3848delGTframeshift_variant1 (0.04%)---
c.658_659delGTframeshift_variant1 (0.04%)---
All BRCA22 (0.08%)---
CHEK2c.1100delCframeshift_variant16 (0.6%)7/4346 (0.2%)4.1 (1.664–9.863)0.0018
c.444+1G>Asplice_donor_variant39 (1.6%)14/4346 (0.3%)5.0 (2.696–9.185)<0.0001
del5395frameshift_variant22 (0.9%)16/4346 (0.4%)2.4 (1.278–4.652)0.0087
All CHEK277 (3.1%)37/4346 (0.9%)3.8 (2.530–5.578)<0.0001
PALB2c.509_510delGAframeshift_variant12 (0.5%)7/4702 (0.1%)3.3 (1.290–8.350)0.0163
c.172_175delTTGTframeshift_variant7 (0.3%)3/4702 (0.1%)4.5 (1.153–17.278)0.0414
All PALB219 (0.8%)10/4702 (0.2%)3.6 (1.692–7.855)0.0008
NBNc.657_661delACAAAframeshift_variant18 (0.7%)22/4000 (0.6%)1.3 (0.7122–2.486)0.4620
All NBN18 (0.7%)22/4000 (0.6%)1.3 (0.7122–2.486)0.4620
RECQLc.1667_1667+3delAGTAsplice_donor_variant2 (0.08%)2/4702 (0.04%)1.9 (0.2686–13.567)0.8956
All RECQL2 (0.08%)2/4702 (0.04%)1.9 (0.2686–13.567)0.8956
Total number of carriers419 (17%)
Table 4. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <31 years and in controls, with corresponding odds ratios.
Table 4. The frequencies of recurrent mutations in Polish women with breast cancer diagnosed at age <31 years and in controls, with corresponding odds ratios.
GeneVariantClassificationTotal Carriers (n = 340)ControlsOdds Ratio (95% CI)p-Value
BRCA1c.5266dupCframeshift_variant35 (10.3%)17/4570 (0.4%)30.7 (17.019–55.502)<0.0001
c.181T>Gmissense13 (3.8%)3/4570 (0.07%)60.5 (17.155–213.51)<0.0001
c.4035delAframeshift_variant2 (0.6%)2/4570 (0.04%)13.5 (1.897–96.288)0.0160
c.66-67delAGframeshift_variant1 (0.3%)---
c.3700_3704delGTAAAframeshift_variant2 (0.6%)---
c.5251C>Tstop_gained1 (0.3%)---
c.5346G>Astop_gained1 (0.3%)---
All BRCA155 (16%)22/4570 (0.5%)39.9 (23.985–66.359)<0.0001
BRCA2c.658_659delGTframeshift_variant1 (0.3%)---
All BRCA21 (0.3%)---
CHEK2c.1100delCframeshift_variant1 (0.3%)7/4346 (0.2%)1.8 (0.2242–14.913)0.5671
c.444+1G>Asplice_donor_variant10 (2.9%)14/4346 (0.3%)9.4 (4.132–21.277)<0.0001
del5395frameshift_variant2 (0.6%)16/4346 (0.4%)1.6 (0.3665–6.996)0.8598
All CHEK213 (3.8%)37/4346 (0.9%)4.6 (2.436–8.798)<0.0001
PALB2c.509_510delGAframeshift_variant1 (0.3%)7/4702 (0.1%)1.98 (0.2426–16.136)0.5158
c.172_175delTTGTframeshift_variant5 (1.5%)3/4702 (0.1%)23.4 (5.561–98.278)<0.0001
All PALB26 (1.8%)10/4702 (0.2%)8.4 (3.044–23.338)<0.0001
NBNc.657_661delACAAAframeshift_variant022/4000 (0.6%)--
All NBN022/4000 (0.6%)--
RECQLc.1667_1667+3delAGTAsplice_donor_variant1 (0.3%)2/4702 (0.04%)6.9 (0.6266–76.688)0.4930
All RECQL1 (0.3%)2/4702 (0.04%)6.9 (0.6266–76.688)0.4930
Total number of carriers76 (22.4%)
Table 5. The frequencies of recurrent mutations in Polish women with early-onset breast cancer and in Polish women with hereditary breast cancer (HBC).
Table 5. The frequencies of recurrent mutations in Polish women with early-onset breast cancer and in Polish women with hereditary breast cancer (HBC).
GeneVariantClassificationCarriers <41 years (n = 2464)HBC Carriers *
BRCA1c.5266dupCframeshift_variant184 (7.5%)204/1018 (20%)
c.181T>Gmissense83 (3.4%)84/1018 (8.3%)
c.4035delAframeshift_variant13 (0.5%)15/1018 (1.5%)
c.66-67delAGframeshift_variant6 (0.2%)-
c.3700_3704delGTAAAframeshift_variant9 (0.3%)10/1018 (1%)
c.5251C>Tstop_gained5 (0.2%)6/1018 (0.6%)
c.5346G>Astop_gained1 (0.04%)5/1018 (0.5%)
All BRCA1301 (12.2%)324 (31.8%)
BRCA2c.3847_3848delGTframeshift_variant1 (0.04%)-
c.658_659delGTframeshift_variant1 (0.04%)3/1018 (0.3%)
All BRCA22 (0.08%)3/1018 (0.3%)
CHEK2c.1100delCframeshift_variant16 (0.6%)8/598 (1.3%)
c.444+1G>Asplice_donor_variant39 (1.6%)13/598 (2.2%)
del5395frameshift_variant22 (0.9%)14/598 (2.3%)
All CHEK277 (3.1%)35 (5.9%)
PALB2c.509_510delGAframeshift_variant12 (0.5%)12/598 (2%)
c.172_175delTTGTframeshift_variant7 (0.3%)7/598 (1.2%)
All PALB219 (0.8%)19 (3.2%)
NBNc.657_661delACAAAframeshift_variant18 (0.7%)9/598 (1.5%)
All NBN18 (0.7%)9 (1.5%)
RECQLc.1667_1667+3delAGTAsplice_donor_variant2 (0.08%)4/598 (0.7%)
All RECQL2 (0.08%)4 (0.7%)
Total number of carriers17%43.3%
* Mutation prevalence of selected variants in HBC patients were from our previous Polish study [4].

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Rogoża-Janiszewska, E.; Malińska, K.; Cybulski, C.; Jakubowska, A.; Gronwald, J.; Huzarski, T.; Lener, M.; Górski, B.; Kluźniak, W.; Rudnicka, H.; et al. Prevalence of Recurrent Mutations Predisposing to Breast Cancer in Early-Onset Breast Cancer Patients from Poland. Cancers 2020, 12, 2321. https://doi.org/10.3390/cancers12082321

AMA Style

Rogoża-Janiszewska E, Malińska K, Cybulski C, Jakubowska A, Gronwald J, Huzarski T, Lener M, Górski B, Kluźniak W, Rudnicka H, et al. Prevalence of Recurrent Mutations Predisposing to Breast Cancer in Early-Onset Breast Cancer Patients from Poland. Cancers. 2020; 12(8):2321. https://doi.org/10.3390/cancers12082321

Chicago/Turabian Style

Rogoża-Janiszewska, Emilia, Karolina Malińska, Cezary Cybulski, Anna Jakubowska, Jacek Gronwald, Tomasz Huzarski, Marcin Lener, Bohdan Górski, Wojciech Kluźniak, Helena Rudnicka, and et al. 2020. "Prevalence of Recurrent Mutations Predisposing to Breast Cancer in Early-Onset Breast Cancer Patients from Poland" Cancers 12, no. 8: 2321. https://doi.org/10.3390/cancers12082321

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