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Methods for the detection of tumor-specific single nucleotide somatic mutations in plasma cDNA samples

https://doi.org/10.17650/2313-805X-2022-9-3-24-37

Abstract

Introduction. Liquid biopsy is considered as a minimally invasive method of molecular genetic analysis that can be used for early diagnosis, prognosis of disease development, monitoring of residual disease or treatment outcomes, and selection of optimal drug therapy schemes for a patient. Along with the development of tests based on the study of panels of oncologically significant genes or their regions, for various forms of genetically heterogeneous tumors a promising approach could be the use as an object of liquid biopsy of an individual spectrum of somatic mutations of a particular patient that can be detected on the basis of high-throughput sequencing of tumor tissue.

Aim. To determine the applicability of different methods for detecting single-nucleotide somatic mutations detected in tumor tissue of a particular patient in cDNA preparations from blood plasma obtained before surgical removal of the tumor and to evaluate the possibility of quantifying the proportion of the alternative variant in the total pool of cDNA. Materials and methods. We used normal and tumor tissue, as well as blood plasma samples from patients with hepatocellular carcinoma, and various methods for detecting single-nucleotide somatic mutations: real-time polymerase chain reaction (PCR) with intercalating dye or with TaqMan probes, droplet digital PCR and high-throughput sequencing of target amplicons.

Results. Using the example of a somatic mutation in the TLN1 gene detected in tumor tissue of a patient with hepatocellular carcinoma, methods were developed and tested, each of which allows specific detection of the mutant variant in small amounts (2 ng) of cDNA from the blood plasma of the same patient. The use of droplet PCR and target amplicon sequencing methods allowed us to quantify the proportion of the mutant variant in the total cDNA pool, which was 19.7 and 23.5 %, respectively.

Conclusion. Among the methods investigated, droplet digital PCR and targeted amplicon sequencing allow not only reliable detection of mutant variants in small amounts of cDNA, but also adequate quantification, which is particularly important for the development of ways to monitor tumor growth during treatment. The close values of the proportion of mutant variants in cDNA detected by these methods indicate the accuracy of quantitative analysis and the possibility of their use for cross-validation of the results obtained.

About the Authors

L. M. Dyakov
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



O. M. Krivtsova
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



P. A. Khesina
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia; M.V. Lomonosov Moscow State University
Russian Federation

Biological faculty of the M.V. Lomonosov Moscow State University.

24 Kashirskoye Shosse, Moscow 115478; Bld. 12, 1 Leninskie Gory, Moscow 119991.



I. F. Kustova
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



N. A. Dyakova
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



N. S. Muge
Russian Federal Research Institute of Fisheries and Oceanography; N.K. Koltzov Institute of Developmental Biology of the Russian Academy of Sciences
Russian Federation

19 Okruzhnoy proezd, Moscow 105187; 26 Vavilova St., Moscow 119334.



N. E. Kudashkin
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



Yu. I. Patyutko
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia
Russian Federation

24 Kashirskoye Shosse, Moscow 115478.



N. L. Lazarevich
N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of Russia; M.V. Lomonosov Moscow State University
Russian Federation

Natalia L. Lazarevich - biological faculty of the M.V. Lomonosov Moscow State University.

24 Kashirskoye Shosse, Moscow 115478; Bld. 12, 1 Leninskie Gory, Moscow 119991.



References

1. Siravegna G., Marsoni S., Siena S., Bardelli A. Integrating liquid biopsies into the management of cancer. Nat Rev Clin Oncol 2017;14(9):531-48. DOI: 10.1038/nrclinonc.2017.14

2. Wan J.C.M., Massie C., Garcia-Corbacho J. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat Rev Cancer 2017;17(4):223-38. DOI: 10.1038/nrc.2017.7

3. Cescon D.W., Bratman S.V., Chan S.M., Siu L.L. Circulating tumor DNA and liquid biopsy in oncology. Nat Cancer 2020;1(3):276-90. DOI: 10.1038/s43018-020-0043-5

4. Kilgour E., Rothwell D.G., Brady G., Dive C. Liquid biopsy-based biomarkers of treatment response and resistance. Cancer Cell 2020;37(4):485-95. DOI: 10.1016/j.ccell.2020.03.012

5. Cisneros-Villanueva M., Hidalgo-Perez L., Rios-Romero M. et al. Cell-free DNA analysis in current cancer clinical trials: a review. Br J Cancer 2022;126(3):391-400. DOI: 10.1038/s41416-021-01696-0

6. Keppens C., Palma J.F., Das P.M. Detection of EGFR variants in plasma: a multilaboratory comparison of a Real-Time PCR EGFR Mutation test in Europe. J Mol Diagn 2018;20(4):483-94. DOI: 10.1016/j.jmoldx.2018.03.006

7. Sung H., Ferlay J., Siegel R.L. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021;71(3): 209-49. DOI: 10.3322/caac.21660

8. Llovet J.M., Zucman-Rossi J., Pikarsky E. Hepatocellular carcinoma. Nat Rev Dis Primers 2016;2:16018. DOI: 10.1038/nrdp.2016.18

9. Zucman-Rossi J., Villanueva A., Nault J.C. et al. Genetic landscape and biomarkers of hepatocellular carcinoma. Gastroenterology 2015;149(5):1226-39. PMID: 26099527. DOI: 10.1053/j.gastro.2015.05.061.

10. Comprehensive and integrative genomic characterization of hepatocellular carcinoma. Cell 2017;169(7):1327-41. DOI: 10.1016/j.cell.2017.05.046

11. Kustova I.F., Makarova A.S., Lazarevich N.L. Potential of the use of methylation biomarkers for diagnostics and prognosis of hepatocellular carcinoma in liquid biopsy. Uspekhi molekulyarnoy onkologii = Advances in Molecular Oncology 2018;5(4):8-19. (In Russ.). DOI: 10.17650/2313-805X-2018

12. Tran N.H., Kisiel J., Roberts L.R. Using cell-free DNA for HCC surveillance and prognosis. JHEP Rep 2021;3(4):100304. DOI: 10.1016/j.jhepr.2021.100304

13. Thorvaldsdottir H., Robinson J.T., Mesirov J.P. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform 2013;14(2):178-92. DOI: 10.1093/bib/bbs017

14. Liu J., Huang Sh., Sun M. et al. An improved allele-specific PCR primer design method for SNP marker analysis and its application. Plant Methods 2012;8(1):34. DOI: 10.1186/17464811-8-34

15. Ng C.K.Y., Di Costanzo G.G., Terracciano L.M., Piscuoglio S. Circulating cell-free DNA in hepatocellular carcinoma: current insights and outlook. Front Med (Lausanne) 2018;5:78. DOI: 10.3389/fmed.2018.00078

16. Labgaa I., Villacorta-Martin C., D'Avola D. et al. A pilot study of ultra-deep targeted sequencing of plasma DNA identifies driver mutations in hepatocellular carcinoma. Oncogene 2018;37:3740-52. DOI: 10.1038/s41388-018-0206-3

17. Bratman S.V., Yang S.Y.C., Iafolla M.A.J. et al. Personalized circulating tumor DNA analysis as a predictive biomarker in solid tumor patients treated with pembro-lizumab. Nat Cancer 2020;1(9):873-81. DOI: 10.1038/s43018-020-0096-5

18. Ikeda S., Tsigelny I., Skjevik A. et al. Next-generation sequencing of circulating tumor DNA reveals frequent alterations in advanced hepatocellular carcinoma. The Oncologist 2018;23(5):586-93. DOI: 10.1634/theoncologist.2017-0479


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Dyakov L.M., Krivtsova O.M., Khesina P.A., Kustova I.F., Dyakova N.A., Muge N.S., Kudashkin N.E., Patyutko Yu.I., Lazarevich N.L. Methods for the detection of tumor-specific single nucleotide somatic mutations in plasma cDNA samples. Advances in Molecular Oncology. 2022;9(3):24-37. (In Russ.) https://doi.org/10.17650/2313-805X-2022-9-3-24-37

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ISSN 2313-805X (Print)
ISSN 2413-3787 (Online)