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High-resolution melting (HRM) assay for the detection of recurrent BRCA1/BRCA2 germline mutations in Tunisian breast/ovarian cancer families

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Abstract

Germline deleterious mutations in the BRCA1/BRCA2 genes are associated with an increased risk for the development of breast and ovarian cancer. Given the large size of these genes the detection of such mutations represents a considerable technical challenge. Therefore, the development of cost-effective and rapid methods to identify these mutations became a necessity. High resolution melting analysis (HRM) is a rapid and efficient technique extensively employed as high-throughput mutation scanning method. The purpose of our study was to assess the specificity and sensitivity of HRM for BRCA1 and BRCA2 genes scanning. As a first step we estimate the ability of HRM for detection mutations in a set of 21 heterozygous samples harboring 8 different known BRCA1/BRCA2 variations, all samples had been preliminarily investigated by direct sequencing, and then we performed a blinded analysis by HRM in a set of 68 further sporadic samples of unknown genotype. All tested heterozygous BRCA1/BRCA2 variants were easily identified. However the HRM assay revealed further alteration that we initially had not searched (one unclassified variant). Furthermore, sequencing confirmed all the HRM detected mutations in the set of unknown samples, including homozygous changes, indicating that in this cohort, with the optimized assays, the mutations detections sensitivity and specificity were 100 %. HRM is a simple, rapid and efficient scanning method for known and unknown BRCA1/BRCA2 germline mutations. Consequently the method will allow for the economical screening of recurrent mutations in Tunisian population.

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References

  1. Antoniou A, Pharoah PD, Narod S, Risch HA, Eyfjord JE, Hopper JL, Loman N, Olsson H, Johannsson O, Borg A, Pasini B, Radice P, Manoukian S, Eccles DM, Tang N, Olah E, Anton-Culver H, Warner E, Lubinski J, Gronwald J, Gorski B, Tulinius H, Thorlacius S, Eerola H, Nevanlinna H, Syrjäkoski K, Kallioniemi OP, Thompson D, Evans C, Peto J, Lalloo F, Evans DG, Easton DF (2003) Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: a combined analysis of 22 studies. Am J Hum Genet 72:1117–1130

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  2. Kauff ND, Satagopan JM, Robson ME, Scheuer L, Hensley M, Hudis CA, Ellis NA, Boyd J, Borgen PI, Barakat RR, Norton L, Castiel M, Nafa K, Offit K (2002) Risk-reducing salpingo-oophorectomy in women with a BRCA1 or BRCA2 mutation. N Engl J Med 346:1609–1615

    Article  PubMed  Google Scholar 

  3. Marsh DJ, Howell VM (2010) The use of denaturing high performance liquid chromatography (DHPLC)for mutation scanning of hereditary cancer genes. Methods Mol Biol 653:133–145

    Article  CAS  PubMed  Google Scholar 

  4. Arnold N, Gross E, Schwarz-Boeger U, Pfisterer J, Jonat W, Kiechle M (1999) Sensitive, fast, and economical technique for mutation analysis in hereditary breast and ovarian cancers. Hum Mutat 14:333–339

    Article  CAS  PubMed  Google Scholar 

  5. Feliubadaló L, Lopez-Doriga A, Castellsagué E, del Valle J, Menéndez M, Tornero E, Montes E, Cuesta R, Gómez C, Campos O, Pineda M, González S, Moreno V, Brunet J, Blanco I, Serra E, Capellá G, Lázaro C (2013) Next-generation sequencing meets genetic diagnostics: development of a comprehensive workflow for the analysis of BRCA1 and BRCA2 genes. Eur J Hum Genet 8:864–870. doi:10.1038/ejhg.2012.270

    Article  Google Scholar 

  6. Taylor CF (2009) Mutation scanning using high-resolution melting. Biochem Soc Trans 37:433–437

    Article  CAS  PubMed  Google Scholar 

  7. Erali M, Wittwer CT (2010) High resolution melting analysis for gene scanning. Methods 50:250–261

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  8. Liew M, Pryor R, Palais R, Meadows C, Erali M, Lyon E, Wittwer C (2004) Genotyping of single-nucleotide polymorphisms by high-resolution melting of small amplicons. Clin Chem 50:1156–1164

    Article  CAS  PubMed  Google Scholar 

  9. Reed GH, Wittwer CT (2004) Sensitivity and specificity of single-nucleotide polymorphism scanning by high-resolution melting analysis. Clin Chem 50:1748–1754

    Article  CAS  PubMed  Google Scholar 

  10. Montgomery J, Wittwer CT, Palais R, Zhou L (2007) Simultaneous mutation scanning and genotyping by high-resolution DNA melting analysis. Nat Protoc 2:59–66

  11. Erali M, Voelkerding KV, Wittwer CT (2008) High resolution melting applications for clinical laboratory medicine. Exp Mol Pathol 85:50–58

  12. Willmore-Payne C, Holden JA, Tripp S, Layfield LJ (2005) Human malignant melanoma: detection of BRAF- and c-kit-activating mutations by high-resolution amplicon melting analysis. Hum Pathol 36:486–493

    Article  CAS  PubMed  Google Scholar 

  13. Krypuy M, Newnham GM, Thomas DM, Conron M, Dobrovic A (2006) High resolution melting analysis for the rapid and sensitive detection of mutations in clinical samples: KRAS codon 12 and 13 mutations in non-small cell lung cancer. BMC Cancer 6:295

    Article  PubMed Central  PubMed  Google Scholar 

  14. Do H, Krypuy M, Mitchell PL, Fox SB, Dobrovic A (2008) High resolution melting analysis for rapid and sensitive EGFR and KRAS mutation detection in formalin fixed paraffin embedded biopsies. BMC Cancer 8:142

    Article  PubMed Central  PubMed  Google Scholar 

  15. Krypuy M, Ahmed AA, Etemadmoghadam D, Hyland SJ; Australian Ovarian Cancer Study Group, DeFazio A, Fox SB, Brenton JD, Bowtell DD, Dobrovic A (2007) High resolution melting for mutation scanning of TP53 exons 5–8. BMC Cancer 7:168

  16. Smith GD, Chadwick BE, Willmore-Payne C, Bentz JS (2008) Detection of epidermal growth factor receptor gene mutations in cytology specimens from patients with non-small cell lung cancer utilising high-resolution melting amplicon analysis. J Clin Pathol 61:487–493

    Article  CAS  PubMed  Google Scholar 

  17. Willmore-Payne C, Holden JA, Layfield LJ (2006) Detection of EGFR- and HER2-activating mutations in squamous cell carcinoma involving the head and neck. Mod Pathol 19:634–640

    Article  CAS  PubMed  Google Scholar 

  18. Takano EA, Mitchell G, Fox SB, Dobrovic A (2008) Rapid detection of carriers with BRCA1 and BRCA2 mutations using high resolution melting analysis. BMC Cancer 8:59

    Article  PubMed Central  PubMed  Google Scholar 

  19. Hondow HL, Fox SB, Mitchell G, Scott RJ, Beshay V, Wong SQ; kConFab Investigators, Dobrovic A (2011) A high-throughput protocol for mutation scanning of the BRCA1 and BRCA2genes. BMC Cancer 11:265

  20. Jiménez Ide J, Esteban Cardeñosa E, Palanca Suela S, González EB, Bolufer Gilabert P; Group of Cancer Genetic Counselling Program of Valencia Community(2009) Advantages of the high resolution melting in the detection of BRCA1 or BRCA2 mutation carriers. Clin Biochem 42:1572–1576

  21. Kwong A, Ng EK, Wong CL, Law FB, Au T, Wong HN, Kurian AW, West DW, Ford JM, Ma ES (2012) Identification of BRCA1/2 founder mutations in southern Chinese breast cancer patients using gene sequencing and high resolution DNA MELTING ANALYSIS. PLoS ONE 7:e43994

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  22. Riahi A1, Kharrat M, Ghourabi ME, Khomsi F, Gamoudi A, Lariani I, May AE, Rahal K, Chaabouni-Bouhamed H (2013) Mutation spectrum and prevalence of BRCA1 and BRCA2 genes in patients with familial and early-onset breast/ovarian cancer from Tunisia. Clin Genet. doi:10.1111/cge.12337

  23. Risch HA, McLaughlin JR, Cole DE, Rosen B, Bradley L, Fan I, Tang J, Li S, Zhang S, Shaw PA, Narod SA (2006) Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances a kin-cohort study in Ontario, Canada. J Natl Cancer Inst 98:1694–1706

    Article  CAS  PubMed  Google Scholar 

  24. Wagner T, Stoppa-Lyonnet D, Fleischmann E, Muhr D, Pagès S, Sandberg T, Caux V, Moeslinger R, Langbauer G, Borg A, Oefner P (1999) Denaturing high-performance liquid chromatography detects reliably BRCA1 and BRCA2 mutations. Genomics 62:369–376

    Article  CAS  PubMed  Google Scholar 

  25. Chou LS, Lyon E, Wittwer CT (2005) A comparison of high-resolution melting analysis with denaturing high-performance liquid chromatography for mutation scanning: cystic fibrosis transmembrane conductance regulator gene as a model. Am J Clin Pathol 124:330–338

    Article  CAS  PubMed  Google Scholar 

  26. Sadr-Nabavi A, Hoffman M, Weilke C, Sun YL, Nevinny-Stickel-Hinzpeter C (2009) Mutation scanning using high resolution melting or dHPLC: a performance comparison study. Biochemica 4:30–33

    Google Scholar 

  27. Tan AY, Westerman DA, Carney DA, Seymour JF, Juneja S, Dobrovic A (2008) Detection of NPM1 exon 12 mutations and FLT3 - internal tandem duplications by high resolution melting analysis in normal karyotype acute myeloid leukemia. J Hematol Oncol 1:10

    Article  PubMed Central  PubMed  Google Scholar 

  28. Tricarico R, Crucianelli F, Alvau A, Orlando C, Sestini R, Tonelli F, Valanzano R, Genuardi M (2011) High resolution melting analysis for a rapid identification of heterozygous and homozygous sequence changes in the MUTYH gene. BMC Cancer 11:305

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Dufresne SD, Belloni DR, Wells WA, Tsongalis GJ (2006) BRCA1 and BRCA2 mutation screening using SmartCycler II high-resolution melt curve analysis. Arch Pathol Lab Med 130:185–187

    CAS  PubMed  Google Scholar 

  30. Wittwer CT (2009) High-resolution DNA melting analysis: advancements and limitations. Hum Mutat 30:857–859. doi:10.1002/humu.20951

    Article  CAS  PubMed  Google Scholar 

  31. Dobrowolski SF, McKinney JT, di San Amat, Filippo C, Giak Sim K, Wilcken B, Longo N (2005) Validation of dye-binding/high-resolution thermal denaturation for the identification of mutations in the SLC22A5 gene. Hum Mutat 25:306–313

    Article  CAS  PubMed  Google Scholar 

  32. Garritano S, Gemignani F, Voegele C, Nguyen-Dumont T, Le Calvez-Kelm F, De Silva D, Lesueur F, Landi S, Tavtigian SV (2009) Determining the effectiveness of high resolution melting analysis for SNP genotyping and mutation scanning at the TP53 locus. BMC Genet 10:5

    Article  PubMed Central  PubMed  Google Scholar 

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Acknowledgments

The authors thank all the patients and the clinicians at the Salah azaiz Cancer Institute for taking part in this study. This work was supported by the Ministry of High Education and Scientific Research and Technology.

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The authors declare that there are no conflicts of interest.

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Correspondence to Habiba Chaabouni-Bouhamed.

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Riahi, A., Kharrat, M., Lariani, I. et al. High-resolution melting (HRM) assay for the detection of recurrent BRCA1/BRCA2 germline mutations in Tunisian breast/ovarian cancer families. Familial Cancer 13, 603–609 (2014). https://doi.org/10.1007/s10689-014-9740-5

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