Droplet digital PCR for the detection of second-generation tyrosine kinase inhibitor-resistant BCR::ABL1 kinase domain mutations in chronic myeloid leukemia

. 2022 Sep ; 36 (9) : 2250-2260. [epub] 20220730

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid35908105
Odkazy

PubMed 35908105
DOI 10.1038/s41375-022-01660-8
PII: 10.1038/s41375-022-01660-8
Knihovny.cz E-zdroje

One of the indications for BCR::ABL1 mutation testing in chronic myeloid leukemia (CML) is when tyrosine kinase inhibitor therapy (TKI) needs to be changed for unsatisfactory response. In this study, we evaluated a droplet digital PCR (ddPCR)-based multiplex strategy for the detection and quantitation of transcripts harbouring mutations conferring resistance to second-generation TKIs (2GTKIs). Parallel quantitation of e13a2, e14a2 and e1a2 BCR::ABL1 fusion transcripts enables to express results as percentage of mutation positive- over total BCR::ABL1 transcripts. We determined the limit of blank in 60 mutation-negative samples. Accuracy was demonstrated by further analysis of 48 samples already studied by next generation sequencing (NGS). Mutations could be called down to 0.5% and across 3-logs of BCR::ABL1 levels. Retrospective review of BCR::ABL1 NGS results in 513 consecutive CML patients with non-optimal response to first- or second-line TKI therapy suggested that a ddPCR-based approach targeted against 2GTKI-resistant mutations would score samples as mutation-negative in 22% of patients with warning response to imatinib but only in 6% of patients with warning response to 2GTKIs. We conclude ddPCR represents an attractive method for easy, accurate and rapid screening for 2GTKI-resistant mutations impacting on TKI selection, although ddPCR cannot identify compound mutations.

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Bavaro L, Martelli M, Cavo M, Soverini S. Mechanisms of Disease Progression and Resistance to Tyrosine Kinase Inhibitor Therapy in Chronic Myeloid Leukemia: An Update. Int J Mol Sci. 2019;20. https://doi.org/10.3390/ijms20246141

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;34:966–84. https://doi.org/10.1038/s41375-020-0776-2 PubMed DOI PMC

Cortes JE, Kantarjian H, Shah NP, Bixby D, Mauro MJ, Flinn I, et al. Ponatinib in refractory Philadelphia chromosome-positive leukemias. N Engl J Med. 2012;367:2075–88. https://doi.org/10.1056/NEJMoa1205127 PubMed DOI PMC

Hughes TP, Mauro MJ, Cortes JE, Minami H, Rea D, DeAngelo DJ, et al. Asciminib in Chronic Myeloid Leukemia after ABL Kinase Inhibitor Failure. N Engl J Med. 2019;381:2315–26. https://doi.org/10.1056/NEJMoa1902328 PubMed DOI PMC

Soverini S, Hochhaus A, Nicolini FE, Gruber F, Lange T, Saglio G, et al. BCR-ABL kinase domain mutation analysis in chronic myeloid leukemia patients treated with tyrosine kinase inhibitors: recommendations from an expert panel on behalf of European LeukemiaNet. Blood 2011;118:1208–15. https://doi.org/10.1182/blood-2010-12-326405 PubMed DOI

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. https://doi.org/10.1182/blood-2013-03-487728 PubMed DOI

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. https://doi.org/10.1007/s00432-014-1845-6 PubMed DOI

Baer C, Kern W, Koch S, Nadarajah N, Schindela S, Meggendorfer M, et al. Ultra-deep sequencing leads to earlier and more sensitive detection of the tyrosine kinase inhibitor resistance mutation T315I in chronic myeloid leukemia. Haematologica 2016;101:830–8. https://doi.org/10.3324/haematol.2016.145888 PubMed DOI PMC

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. https://doi.org/10.18632/oncotarget.8010 PubMed DOI PMC

Soverini S, De Benedittis C, Castagnetti F, Gugliotta G, Mancini M, Bavaro L, et al. In chronic myeloid leukemia patients on second-line tyrosine kinase inhibitor therapy, deep sequencing of BCR-ABL1 at the time of warning may allow sensitive detection of emerging drug-resistant mutants. BMC Cancer. 2016;16:572 https://doi.org/10.1186/s12885-016-2635-0 PubMed DOI PMC

Kizilors A, Crisa E, Lea N, Passera R, Mian S, Anwar J, et al. Effect of low-level BCR-ABL1 kinase domain mutations identified by next-generation sequencing in patients with chronic myeloid leukaemia: A population-based study. Lancet Haematol. 2019;6:e276–e84. https://doi.org/10.1016/S2352-3026(19)30027-4 PubMed DOI

Soverini S, Bavaro L, De Benedittis C, Martelli M, Iurlo A, Orofino N, et al. Prospective assessment of NGS-detectable mutations in CML patients with nonoptimal response: the NEXT-in-CML study. Blood 2020;135:534–41. https://doi.org/10.1182/blood.2019002969 PubMed DOI

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. https://doi.org/10.1016/j.ccr.2014.07.006 PubMed DOI PMC

Byrgazov K, Lucini CB, Valent P, Hantschel O, Lion T. BCR-ABL1 compound mutants display differential and dose-dependent responses to ponatinib. Haematologica 2018;103:e10–e2. https://doi.org/10.3324/haematol.2017.176347 PubMed DOI PMC

Soverini S, Martelli M, Bavaro L, De Benedittis C, Sica S, Sora F, et al. BCR-ABL1 compound mutants: prevalence, spectrum and correlation with tyrosine kinase inhibitor resistance in a consecutive series of Philadelphia chromosome-positive leukemia patients analyzed by NGS. Leukemia 2021;35:2102–7. https://doi.org/10.1038/s41375-020-01098-w PubMed DOI

Flach J, Shumilov E, Joncourt R, Porret N, Novak U, Pabst T, et al. Current concepts and future directions for hemato-oncologic diagnostics. Crit Rev Oncol Hematol. 2020;151:102977 https://doi.org/10.1016/j.critrevonc.2020.102977 PubMed DOI

Olmedillas-Lopez S, Olivera-Salazar R, Garcia-Arranz M, Garcia-Olmo D. Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review. Mol Diagn Ther. 2022;26:61–87. https://doi.org/10.1007/s40291-021-00562-2 PubMed DOI

Huggett JF. The Digital MIQE Guidelines Update: Minimum Information for Publication of Quantitative Digital PCR Experiments for 2020. Clin Chem. 2020;66:1012–29. https://doi.org/10.1093/clinchem/hvaa125 PubMed DOI

Baccarani M, Deininger MW, Rosti G, Hochhaus A, Soverini S, Apperley JF, et al. European LeukemiaNet recommendations for the management of chronic myeloid leukemia: 2013. Blood 2013;122:872–84. https://doi.org/10.1182/blood-2013-05-501569 PubMed DOI PMC

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 https://doi.org/10.1186/s13045-019-0815-5 PubMed DOI PMC

Regan JF, Kamitaki N, Legler T, Cooper S, Klitgord N, Karlin-Neumann G, et al. A rapid molecular approach for chromosomal phasing. PLoS One. 2015;10:e0118270 https://doi.org/10.1371/journal.pone.0118270 PubMed DOI PMC

Vannuffel P, Bavaro L, Nollet F, Aynaci A, Martelli M, Devos H, et al. Droplet Digital PCR Phasing (DROP-PHASE): A Novel Method for Straightforward Detection of BCR-ABL1 Compound Mutations in Tyrosine Kinase Inhibitors Resistant Chronic Myeloid Leukemia (CML) and Acute Lymphoblastic Leukemia (ALL). Blood 2019;134:4660. DOI

Soverini S, De Benedittis C, Papayannidis C, Polakova KM, Venturi C, Russo D, et al. Clinical impact of low-burden BCR-ABL1 mutations detectable by amplicon deep sequencing in Philadelphia-positive acute lymphoblastic leukemia patients. Leukemia 2016;30:1615–9. https://doi.org/10.1038/leu.2016.17 PubMed DOI

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