Cancer Res Treat.  2022 Oct;54(4):970-984. 10.4143/crt.2021.1078.

Reclassification of Five BRCA1/2 Variants with Unknown Significance Using Complex Functional Study

Affiliations
  • 1Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
  • 2Hereditary Cancers Research Group, Hungarian Academy of Sciences - Semmelweis University, Budapest, Hungary

Abstract

Purpose
While BRCA1/2 genes are commonly investigated, variants of unknown significance (VUS) and variants with potential splice effect are still being detected and they represent a substantial challenge in genetic counseling and therapy.
Materials and Methods
Out of genetically tested 3,568 hereditary breast and ovarian cancer probands five, functionally not investigated variants with potential splice-modifying effect were subjected to functional characterization. Transcript-level analysis on peripheral blood-derived RNA of the carriers was performed to test aberrant splicing. The completeness of the aberrant splicing event was also studied, existence and extent of nonsense-mediated decay was even addressed. Clinical and phenotype data, pedigree and co-segregation analyses were also done. Locus-specific loss of heterozygosity (LOH) in tumor tissues was additionally tested.
Results
In case of the BRCA1:c.4484+4dupA and the BRCA1:c.5407-10G>A variants functional results allowed us to reclassify them from VUS into likely pathogenic category. BRCA1:c.4358-31A>C, by producing incomplete aberrant splicing, was highlighted as strong VUS, but in lack of other supporting evidence, re-categorization was not possible. The likely pathogenic assertion of previously not reported BRCA2:c.8487G>T was reinforced based on its spliceogenic property and tumor LOH, while BRCA2:c.793G>A failed to present aberrant splicing in spite of suggestive predictions, which altered its original VUS evaluation into likely benign class.
Conclusion
We presented molecular and clinical evidence for reclassification of four out of five BRCA1/2 variants. Both up- and down-classification harbour important clinical significance. Patients carrying re-classified pathogenic variants in the future will not be dropped out from medical surveillance, preventive measures, treatment and predictive family screening in relatives at risk.

Keyword

Breast neoplasms; Reclassification; Variants of unknown significance; Splicing

Figure

  • Fig. 1 BRCA1 c.4484+4dupA and BRCA1 c.4358-31A>C variants both cause BRCA1 exon 14 skipping (A–F). (A) RT-PCR results of probands of F1 and F2 (BRCA1 4484+4dupA carriers) and F3 (BRCA1 c.4358-31A>C carrier) yielded an additional 150 bp shorter product on agarose gel, not present in controls. (B) Sanger sequencing of the RT-PCR products of the variant carriers showed whole exon 14 skipping in all probands, with a lower extent in the case of F3. The sequencing shows the reverse direction. (C) Allelic imbalance test of a nearby heterozygote exonic variant BRCA1 c.4837A>G in F1 shows a 1:2 ratios for the A:G alleles on cDNA relative to gDNA. (D) Relative abundance of the FL (blue bars) and Δ14 (red bars) transcripts measured by qPCR in F1, F2, and F3. Error bars represent standard deviation of three measurements. (E) Relative abundance of the FL and Δ14 transcripts measured by QMPSF in BRCA1 4484+4dupA carrier (F1) and BRCA1 c.4358-31A>C carrier (F3). (F) Detection of incomplete aberrant splicing on RT-PCR product amplified exclusively from the FL transcript by sequencing tagging polymorphism BRCA1 c.4837A>G. The electropherogram of the variant position is enlarged on the right side. (G) The composition of FL and Δ14 transcripts from the wild type (blue) and variant carrier (red) alleles in BRCA1 4484+4dupA carrier (F1) and BRCA1 c.4358-31A>C carrier (F3). The green segment represents the NMD-degraded fraction. The extent of FL transcript originating from the BRCA1 c.4358-31A>C carrier allele is only imputed. FL, full length; F1, family 1; F2, family 2; F3, family 3; C1–3, wild type controls; L, 1 kb ladder (Promega); NMD, nonsense-mediated mRNA decay; RT-PCR, reverse transcription polymerase chain reaction; QMPSF, quantitative multiplex PCR of short fluorescent fragments; qPCR, quantitative real-time polymerase chain reaction.

  • Fig. 2 cDNA analysis of BRCA1 c.5407-10G>A variant. (A) Sanger sequencing result of the RT-PCR product of the BRCA1 c.5407-10G>A variant carrier proband of F5. Aberrant transcript revealed the inclusion of eight nucleotides of intron 22 into exon 23 generating a frameshift from this position. The peak intensities of the normal and aberrant sequences are equal. (B) Allelic imbalance test harnessing a heterozygote position BRCA1 c.4837A>G outside of the aberrantly spliced exon shows a 1:1 allelic ratio compared to the same position in gDNA. This confirms that the aberrant transcript is not degraded by NMD. (C) Relative abundance of the normal (N) and aberrant (inc8) transcripts measured by QMPSF. The slight difference may arise from suboptimal specificity of the discriminative primers. (D) Detection of complete aberrant splicing on RT-PCR product amplified exclusively from the normal transcript by sequencing tagging polymorphism BRCA1 c.4837A>G. Arrow points to the variant position, which represents only G, corresponding to the wild type allele. (E) Representative example for LOH in family 4. The electropherogram of the variant position is enlarged on the right side. F5, family 5; gDNA, genomic DNA; inc8, aberrant transcript with 8 nucleotide inclusion from intron 22; LOH, loss of heterozygosity; N, normal transcript; NMD, nonsense-mediated mRNA decay; QMPSF, quantitative multiplex PCR of short fluorescent fragments; RT-PCR, reverse transcription polymerase chain reaction; tDNA, tumor DNA.

  • Fig. 3 cDNA analysis of BRCA2 exonic variants. Panels A–D show the results of the BRCA2 c.8487G>T variant. (A) RT-PCR gel electrophoresis results of proband of F8 (BRCA2 c.8487G>T carrier) yielded an additional 120 bp shorter product on agarose gel, not present in controls. (B) Sanger sequencing of the RT-PCR products of the variant carrier showed whole exon 19 skipping. Reverse direction sequencing is depicted. (C) Demonstration of complete aberrant splicing on RT-PCR product amplified exclusively from the FL transcript. At the tagging BRCA2 c.7242A>G variant position only G allele was detected and not any A (arrow points it out). (D) Representative example for LOH in family 7 highlighting the heterozygote superposition of the electropherogram in gDNA versus tDNA. (E, F) The results of the BRCA2 c.793G>A variant. (E) RT-PCR gel electrophoresis results of proband of F10 (BRCA2 c.793G>A carrier). No additional band different from the wild type is present. (F) Aligned sequencing electropherogram of cDNA and gDNA of the same region. Arrow points the variant c.793G>A. Neither an aberrant transcript, nor allelic imbalance is experienced. C1–3, wild type controls; F8, family 8; F10, family 10; gDNA, genomic DNA; L, 1 kb ladder (Promega); LOH, loss of heterozygosity; RT-PCR, reverse transcription polymerase chain reaction; tDNA, tumor DNA.


Reference

References

1. Robson M, Offit K. Clinical practice. Management of an inherited predisposition to breast cancer. N Engl J Med. 2007; 357:154–62.
Article
2. Federici G, Soddu S. Variants of uncertain significance in the era of high-throughput genome sequencing: a lesson from breast and ovary cancers. J Exp Clin Cancer Res. 2020; 39:46.
Article
3. Singer CF, Balmana J, Burki N, Delaloge S, Filieri ME, Gerdes AM, et al. Genetic counselling and testing of susceptibility genes for therapeutic decision-making in breast cancer-an European consensus statement and expert recommendations. Eur J Cancer. 2019; 106:54–60.
Article
4. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015; 17:405–24.
Article
5. Kuchenbaecker KB, Hopper JL, Barnes DR, Phillips KA, Mooij TM, Roos-Blom MJ, et al. Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. JAMA. 2017; 317:2402–16.
6. Parsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadalo L, et al. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: an ENIGMA resource to support clinical variant classification. Hum Mutat. 2019; 40:1557–78.
7. Harper K. BRCA exchange launches. Cancer Discov. 2019; 9:311–2.
Article
8. Murray ML, Cerrato F, Bennett RL, Jarvik GP. Follow-up of carriers of BRCA1 and BRCA2 variants of unknown significance: variant reclassification and surgical decisions. Genet Med. 2011; 13:998–1005.
Article
9. Bevers TB, Anderson BO, Bonaccio E, Buys S, Daly MB, Dempsey PJ, et al. NCCN clinical practice guidelines in oncology: breast cancer screening and diagnosis. J Natl Compr Canc Netw. 2009; 7:1060–96.
10. Deignan JL, Chung WK, Kearney HM, Monaghan KG, Rehder CW, Chao EC, et al. Points to consider in the reevaluation and reanalysis of genomic test results: a statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med. 2019; 21:1267–70.
Article
11. Orban TI, Olah E. Emerging roles of BRCA1 alternative splicing. Mol Pathol. 2003; 56:191–7.
Article
12. Stoilov P, Meshorer E, Gencheva M, Glick D, Soreq H, Stamm S. Defects in pre-mRNA processing as causes of and predisposition to diseases. DNA Cell Biol. 2002; 21:803–18.
Article
13. Marmolejo DH, Wong MYZ, Bajalica-Lagercrantz S, Tischkowitz M, Balmana J. Extended ERN-GENTURIS Thematic Group. Overview of hereditary breast and ovarian cancer (HBOC) guidelines across Europe. Eur J Med Genet. 2021; 64:104350.
Article
14. Culp M, Johnson K, Michailides G. ada: an R package for stochastic boosting. J Stat Softw. 2006; 17:1–27.
15. Breiman L. Random forests. Mach Learn. 2001; 45:5–32.
16. Liu X, Li C, Mou C, Dong Y, Tu Y. dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs. Genome Med. 2020; 12:103.
Article
17. Nazari I, Tayara H, Chong KT. Branch point selection in RNA splicing using deep learning. IEEE Access. 2019; 7:1800–7.
Article
18. Paggi JM, Bejerano G. A sequence-based, deep learning model accurately predicts RNA splicing branchpoints. RNA. 2018; 24:1647–58.
Article
19. Papp J, Kovacs ME, Solyom S, Kasler M, Borresen-Dale AL, Olah E. High prevalence of germline STK11 mutations in Hungarian Peutz-Jeghers Syndrome patients. BMC Med Genet. 2010; 11:169.
20. Kopanos C, Tsiolkas V, Kouris A, Chapple CE, Albarca Aguilera M, Meyer R, et al. VarSome: the human genomic variant search engine. Bioinformatics. 2019; 35:1978–80.
Article
21. Goldgar DE, Easton DF, Deffenbaugh AM, Monteiro AN, Tavtigian SV, Couch FJ, et al. Integrated evaluation of DNA sequence variants of unknown clinical significance: application to BRCA1 and BRCA2. Am J Hum Genet. 2004; 75:535–44.
Article
22. Wimmer K, Schamschula E, Wernstedt A, Traunfellner P, Amberger A, Zschocke J, et al. AG-exclusion zone revisited: lessons to learn from 91 intronic NF1 3′ splice site mutations outside the canonical AG-dinucleotides. Hum Mutat. 2020; 41:1145–56.
Article
23. Findlay GM, Daza RM, Martin B, Zhang MD, Leith AP, Gasperini M, et al. Accurate classification of BRCA1 variants with saturation genome editing. Nature. 2018; 562:217–22.
Article
24. Houdayer C, Caux-Moncoutier V, Krieger S, Barrois M, Bonnet F, Bourdon V, et al. Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants. Hum Mutat. 2012; 33:1228–38.
Article
25. Chehade R, Pettapiece-Phillips R, Salmena L, Kotlyar M, Jurisica I, Narod SA, et al. Reduced BRCA1 transcript levels in freshly isolated blood leukocytes from BRCA1 mutation carriers is mutation specific. Breast Cancer Res. 2016; 18:87.
Article
26. de la Hoya M, Soukarieh O, Lopez-Perolio I, Vega A, Walker LC, van Ierland Y, et al. Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms. Hum Mol Genet. 2016; 25:2256–68.
Article
27. Zhang L, Bacares R, Boyar S, Hudis C, Nafa K, Offit K. cDNA analysis demonstrates that the BRCA2 intronic variant IVS4-12del5 is a deleterious mutation. Mutat Res. 2009; 663:84–9.
Article
28. Walsh MF, Ritter DI, Kesserwan C, Sonkin D, Chakravarty D, Chao E, et al. Integrating somatic variant data and biomarkers for germline variant classification in cancer predisposition genes. Hum Mutat. 2018; 39:1542–52.
Article
29. Maxwell KN, Wubbenhorst B, Wenz BM, De Sloover D, Pluta J, Emery L, et al. BRCA locus-specific loss of heterozygosity in germline BRCA1 and BRCA2 carriers. Nat Commun. 2017; 8:319.
Article
30. Bonnet C, Krieger S, Vezain M, Rousselin A, Tournier I, Martins A, et al. Screening BRCA1 and BRCA2 unclassified variants for splicing mutations using reverse transcription PCR on patient RNA and an ex vivo assay based on a splicing reporter minigene. J Med Genet. 2008; 45:438–46.
Article
31. Mesman RL, Calleja F, de la Hoya M, Devilee P, van Asperen CJ, Vrieling H, et al. Alternative mRNA splicing can attenuate the pathogenicity of presumed loss-of-function variants in BRCA2. Genet Med. 2020; 22:1355–65.
Article
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