OPINIONI - Opinions
Volume:
Biochimica Clinica, vol.47, n.4, pag365-9
Pubblicato on-line:
May 17, 2023
DOI:
10.19186/BC_2023.034
Clinically relevant low-frequency Next Generation Sequencing variants in hereditary cancer patients: an operational multi-step algorithm for laboratory managing
AUTORI
1 Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
2 Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
3 Department of Oncology and Hematology, Modena University Hospital, Modena, Italy
4 Center for Genome Research, University of Modena and Reggio Emilia, Modena, Italy
ABSTRACT
The improved sensitivity of Next Generation Sequencing (NGS), in comparison to Sanger sequencing, results in increased identification of unusual findings. Typically, heterozygous germline variants are expected to be detected with NGS at a 50% read-frequency. However, NGS may identify clinically relevant variants at significantly different frequencies. Those in the 5.0-30% range are generally filtered out as low-quality data. Nevertheless, low-frequency variants could be truly present in DNA samples from peripheral blood, due to clonal hematopoiesis of indeterminate potential (CHIP) or constitutional mosaicism, where the variant is only present in a fraction of cells, as the result of a post-zygotic mutation during embryonic development. So, hereditary cancer analysis needs to be improved. Clinically relevant variants that result less than 30% in reads frequency, should be evaluated. Initially, sequencing artifacts and chimerism due to bone marrow transplantation should be excluded. Then, analyses on secondary normal tissues should be performed. If clinically relevant variants with low frequency are not confirmed except for blood, these mutations should be considered as CHIP events. Otherwise, if the analyses in non-transformed samples yield positive results, they would suggest the patients’ constitutional mosaicisms. Testing parents and offspring could provide definitive proof that the low-frequency variants are germline heritable mosaicisms. These results would have a profound impact on mosaic patients’ surveillance, prophylactic surgery, treatment options, and their family members risk assessment.
BIBLIOGRAFIA
REFERENCES
1. ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. Pan-cancer analysis of whole genomes. Nature 2020;578:82-93.
2. Bailey MH, Tokheim C, Porta-Pardo E, Sengupta S, Bertrand D, Weerasinghe A, et al. Comprehensive characterization of cancer driver genes and mutations. Cell 2018;173:371-385.e18.
3. White MC, Holman DM, Boehm JE, Peipins LA, Grossman M, Henley SJ. Age and cancer risk: a potentially modifiable relationship. Am J Prev Med 2014;46:S7-15.
4. Rozhok AI, DeGregori J. The evolution of lifespan and age-dependent cancer risk. Trends Cancer 2016;2:552-60.
5. Cogliano VJ, Baan R, Straif K, et al. Preventable exposures associated with human cancers. J Natl Cancer Inst 2011;103:1827-39.
6. O’Donovan P, Perrett CM, Zhang X, Montaner B, Xu YZ, Harwood CA, et al. Azathioprine and UVA light generate mutagenic oxidative DNA damage. Science 2005;309:1871-4.
7. Zhang X, Niu J, Che T, Zhu Y, Zhang H, Qu J. Fertility preservation in BRCA mutation carriers-efficacy and safety issues: a review. Reprod Biol Endocrinol 2020 Feb 18;18:11.
8. Buonomo B, Massarotti C, Dellino M, Anserini P, Ferrari A, Campanella M, et al. Reproductive issues in carriers of germline pathogenic variants in the BRCA1/2 genes: an expert meeting. BMC Med 2021;19:205.
9. Valachis A, Nearchou AD, Lind P. Surgical management of breast cancer in BRCA-mutation carriers: a systematic review and meta-analysis. Breast Cancer Res Treat 2014;144:443-55.
10. Grandi G, Sammarini M, Cortesi L, Toss A, Botticelli L, Varliero F,, et al. Satisfaction with prophylactic risk-reducing salpingo-oophorectomy in BRCA mutation carriers is very high and little dependent on the participants’ characteristics at surgery: a prospective study. Menopause 2021;28:263-70.
11. Vogel VG, Costantino JP, Wickerham DL, Cronin WM, Cecchini RS, Atkins JN, et al. Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial. JAMA 2006;295:2727-41.
12. Hahnen E, Lederer B, Hauke J, Loibl S, Kröber S, Schneeweiss A, et al. Germline mutation status, pathological complete response, and disease-free survival in triple-negative breast cancer: secondary analysis of the geparsixto randomized clinical trial. JAMA Oncol 2017;3:1378-85.
13. Pennington KP, Walsh T, Harrell MI, Lee MK, Pennil CC, Rendi MH, et al. Germline and somatic mutations in homologous recombination genes predict platinum response and survival in ovarian, fallopian tube, and peritoneal carcinomas. Clin Cancer Res 2014;20:764-75.
14. Vos JR, Fakkert IE, de Hullu JA, van Altena AM, Sie AS, Ouchene H, et al. Universal Tumor DNA BRCA1/2 Testing of Ovarian Cancer: Prescreening PARPi Treatment and Genetic Predisposition. J Natl Cancer Inst 2020;112:161-9.
15. Sanger F, Nicklen S, Coulson AR. DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci U S A. 1977;74:5463-7.
16. Metzker ML. Sequencing technologies – the next generation. Nat Rev Genet 2010;11:31-46.
17. ACMG Board of Directors. Points to consider in the clinical application of genomic sequencing. Genet Med 2012;14:759-61.
18. Bowdin S, Gilbert A, Bedoukian E, Carew C, Adam MP, Belmont J, et al. Recommendations for the integration of genomics into clinical practice. Genet Med 2016;18:1075-84.
19. Kamps R, Brandão RD, Bosch BJ, Paulussen AD, Xanthoulea S, Blok MJ, et al. Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification. Int J Mol Sci 2017;18:308.
20. Neben CL, Zimmer AD, Stedden W, van den Akker J, O’Connor R, Chan RC, et al. Multi-Gene Panel Testing of 23,179 Individuals for Hereditary Cancer Risk Identifies Pathogenic Variant Carriers Missed by Current Genetic Testing Guidelines. J Mol Diagn 2019;21:646-57.
21. Susswein LR, Marshall ML, Nusbaum R, Vogel Postula KJ, Weissman SM, Yackowski L, et al. Pathogenic and likely pathogenic variant prevalence among the first 10,000 patients referred for next-generation cancer panel testing. Genet Med 2016;18:823-32.
22. Crawford B, Adams SB, Sittler T, van den Akker J, Chan S, et al. Multi-gene panel testing for hereditary cancer predisposition in unsolved high-risk breast and ovarian cancer patients. Breast Cancer Res Treat 2017;163:383-90.
23. LaDuca H, Stuenkel AJ, Dolinsky JS, Keiles S, Tandy S, Pesaran T, et al. Utilization of multigene panels in hereditary cancer predisposition testing: analysis of more than 2,000 patients. Genet Med 2014;16:830-7.
24. Cohen SA, Pritchard CC, Jarvik GP. Lynch syndrome: from screening to diagnosis to treatment in the era of modern molecular oncology. Annu Rev Genomics Hum Genet 2019;20:293-307.
25. Genovese G, Kähler AK, Handsaker RE, et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med 2014;371:2477-87.
26. Jaiswal S, Fontanillas P, Flannick J, Manning A, Grauman PV, Mar BG, et al. Age-related clonal hematopoiesis associated with adverse outcomes. N Engl J Med 2014;371:2488-98.
27. Nowakowska MK, Kim T, Thompson MT, Bolton KL, Deswal A, Lin SH, et al. Association of clonal hematopoiesis mutations with clinical outcomes: a systematic review and meta-analysis. Am J Hematol 2022;97:411-20.
28. Gillis NK, Ball M, Zhang Q, Ma Z, Zhao Y, Yoder SJ, et al. Clonal haemopoiesis and therapy-related myeloid malignancies in elderly patients: a proof-of-concept, case-control study. Lancet Oncol 2017;18:112-21.
29. Takahashi K, Wang F, Kantarjian H, Doss D, Khanna K, Thompson E, et al. Preleukaemic clonal haemopoiesis and risk of therapy-related myeloid neoplasms: a case-control study. Lancet Oncol 2017;18:100-11.
30. Wong TN, Ramsingh G, Young AL, Miller CA, Touma W, Welch JS, et al. Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia. Nature 2015;518:552-5.
31. Asada S, Kitamura T. Clonal hematopoiesis and associated diseases: a review of recent findings. Cancer Sci 2021;112:3962-71.
32. Steinke-Lange V, de Putter R, Holinski-Feder E, Claes KB. Somatic mosaics in hereditary tumor predisposition syndromes. Eur J Med Genet 2021;64:104360.
33. Gráf A, Enyedi MZ, Pintér L, Kriston-Pál É, Jaksa G, Bálind Á, et al. The combination of single-cell and next-generation sequencing can reveal mosaicism for BRCA2 mutations and the fine molecular details of tumorigenesis. Cancers (Basel) 2021;13:2354.
34. Biesecker LG, Spinner NB. A genomic view of mosaicism and human disease. Nat Rev Genet 2013;14:307-20.
35. Campbell IM, Yuan B, Robberecht C, Pfundt R, Szafranski P, McEntagart ME, et al. Parental somatic mosaicism is underrecognized and influences recurrence risk of genomic disorders. Am J Hum Genet 2014;95:173-82.
36. Tenedini E, Piana S, Toss A, Marino M, Barbieri E, Artuso L, et al. Constitutional Mosaicism: A Critical Issue in the Definition of BRCA-Inherited Cancer Risk. JCO Precis Oncol 2022;6:e2200138.
37. Schreiber EH, Leong H, Schneider SJ, Marks J, Wallace G, Hardeep S, al. Abstract 5269: Minor Variant Finder: new software for detecting somatic mutations at low level in Sanger sequencing traces. Cancer Res 2016;76 Supp 14: 5269.
