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Chronic myelogenous leukemia

Sensitivity and reliability of DNA-based mutation analysis by allele-specific digital PCR to follow resistant BCR-ABL1-positive cells

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Fig. 1: Comparison of mutated KD of BCR-ABL1 data at the DNA level by AS-ddPCR (BCR-ABL1 DNAmut) and at the mRNA level (BCR-ABL1 mRNAmut) by NGS in 122 samples.
Fig. 2: Clonal evolution of BCR-ABL1 mutated cells in vivo.

References

  1. Soverini S, De Benedittis C, Machova Polakova K, Brouckova A, Horner D, Iacono M, et al. Unraveling the complexity of tyrosine kinase inhibitor-resistant populations by ultra-deep sequencing of the BCR-ABL kinase domain. Blood. 2013;122:1634–48.

    Article  CAS  Google Scholar 

  2. Machova Polakova K, Kulvait V, Benesova A, Linhartova J, Klamova H, Jaruskova M, et al. Next-generation deep sequencing improves detection of BCR-ABL1 kinase domain mutations emerging under tyrosine kinase inhibitor treatment of chronic myeloid leukemia patients in chronic phase. J Cancer Res Clin Oncol. 2015;141:887–99.

    Article  CAS  Google Scholar 

  3. Soverini S, Abruzzese E, Bocchia M, Bonifacio M, Galimberti S, Gozzini A, et al. Next-generation sequencing for BCR-ABL1 kinase domain mutation testing in patients with chronic myeloid leukemia: a position paper. J Hematol Oncol. 2019;12:131.

    Article  Google Scholar 

  4. Zabriskie MS, Eide CA, Tantravahi SK, Vellore NA, Estrada J, Nicolini FE, et al. BCR-ABL1 compound mutations combining key kinase domain positions confer clinical resistance to ponatinib in Ph chromosome-positive leukemia. Cancer Cell. 2014;26:428–42.

    Article  CAS  Google Scholar 

  5. Kastner R, Zopf A, Preuner S, Pröll J, Niklas N, Foskett P, et al. Rapid identification of compound mutations in patients with Philadelphia-positive leukaemias by long-range next generation sequencing. Eur J Cancer. 2014;50:793–800.

    Article  CAS  Google Scholar 

  6. Soverini S, De Benedittis C, Polakova KM, Linhartova J, Castagnetti F, Gugliotta G, et al. Next-generation sequencing for sensitive detection of BCR-ABL1 mutations relevant to tyrosine kinase inhibitor choice in imatinib-resistant patients. Oncotarget. 2016;7:21982–90.

    Article  Google Scholar 

  7. Polakova KM, Polivkova V, Rulcova J, Klamova H, Jurcek T, Dvorakova D, et al. Constant BCR-ABL transcript level >or=0.1% (IS) in patients with CML responding to imatinib with complete cytogenetic remission may indicate mutation analysis. Exp Hematol. 2010;38:20–6.

    Article  Google Scholar 

  8. Machova Polakova K, Zizkova H, Zuna J, Motlova E, Hovorkova L, Gottschalk A, et al. Analysis of chronic myeloid leukemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission. Leukemia. 2020;34:2113–2124.

    Article  CAS  Google Scholar 

  9. Redaelli S, Mologni L, Rostagno R, Piazza R, Magistroni V, Ceccon M, et al. Three novel patient-derived BCR/ABL mutants show different sensitivity to second and third generation tyrosine kinase inhibitors. C Am J Hematol. 2012;87:E125–8.

    Article  CAS  Google Scholar 

  10. Pfeifer H, Lange T, Wystub S, Wassmann B, Maier J, Binckebanck A, et al. Prevalence and dynamics of bcr-abl kinase domain mutations during imatinib treatment differ in patients with newly diagnosed and recurrent bcr-abl positive acute lymphoblastic leukemia. Leukemia. 2012;26:1475–81.

    Article  CAS  Google Scholar 

  11. Watanabe K, Minami Y, Ozawa Y, Miyamura K, Naoe T. T315I mutation in Ph-positive acute lymphoblastic leukemia is associated with a highly aggressive disease phenotype: three case reports. Anticancer Res. 2012;32:1779–83.

    CAS  PubMed  Google Scholar 

  12. Rousselot P, Coudé MM, Gokbuget N, Gambacorti Passerini C, Hayette S, Cayuela J, et al. Dasatinib and low-intensity chemotherapy in elderly patients with Philadelphia chromosome-positive ALL. Blood. 2016;128:774–82.

    Article  CAS  Google Scholar 

  13. Akahoshi Y, Nakasone H, Kawamura K, Kusuda M, Kawamura S, Takeshita J, et al. Detection of T315I using digital polymerase chain reaction in allogeneic transplant recipients with Ph-positive acute lymphoblastic anemia in the dasatinib era. Exp Hematol. 2020;81:60–7.

    Article  CAS  Google Scholar 

  14. Hochhaus A, Baccarani M, Silver RT, Schiffer C, Apperley JF, Cervantes F, et al. European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia. Leukemia 2020;34:966–984.

    Article  CAS  Google Scholar 

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Acknowledgements

This work was funded by the Czech Science Foundation with grant #18-18407S and institutional support #00023736 from Ministry of Health of Czech Republic. We would like to thank to David Kundrat (Institute of Hematology and Blood Transfusion) for the fishplot creation. We would like to acknowledge Pavel Semerak (CLIP laboratories, Faculty Hospital Motol and Second Faculty of Medicine, Charles University, Prague, CZ) for the technical support for single-cell FACS sorting of KCL-22 resistant clones.

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VP performed majority of analysis and evaluated data; AB contributed to NGS analysis; HZ contributed to ddPCR analysis; JK contributed to panel sequencing and RNA-seq; NC performed in vitro analysis; EM contributed to ddPCR analysis of KCL-22; HK and CS evaluated and provided clinical data of patients; KMP designed the study, interpreted results and wrote the paper; all authors critically reviewed and approved the paper.

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Correspondence to Katerina Machova Polakova.

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KMP and CS—consultancy for Incyte and Angelini.

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This work was conducted in accordance with the principles of the Declaration of Helsinki and was approved by the Ethics Committees of the Institute of Hematology and Blood Transfusion, Prague. All patients provided written informed consent for the use of their samples for this research.

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Polivkova, V., Benesova, A., Zizkova, H. et al. Sensitivity and reliability of DNA-based mutation analysis by allele-specific digital PCR to follow resistant BCR-ABL1-positive cells. Leukemia 35, 2419–2423 (2021). https://doi.org/10.1038/s41375-021-01226-0

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