Abstract
Background
Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers.
Methods
In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML.
Results and Discussion
One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact.
Conclusions
In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.
Similar content being viewed by others
Data Availability
The data from this study will not be made publicly available.
Ethical approval (Research involving human participants and/or animals) and Informed consent
This study was approved by the Institutional Review Board of Hospital Israelita Albert Einstein (protocol 1699-13). All the data were deidentified for the preparation of this manuscript. Informed consent was waived for the protocol 1699-13.
Conflict of interest
Campregher PV has received fee as speaker from Illumina.
References
Khoury JD, Solary E, Abla O, Akkari Y, Alaggio R, Apperley JF, et al. The 5th edition of the world health organization classification of haematolymphoid tumours: myeloid and histiocytic/dendritic neoplasms. Leukemia. 2022;36(7):1703–19.
Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, et al. International consensus classification of myeloid neoplasms and acute leukemias: integrating morphologic, clinical, and genomic data. Blood. 2022;140(11):1200–28.
Döhner H, Estey EH, Amadori S, Appelbaum FR, Büchner T, Burnett AK, et al. Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 2010;115(3):453–74.
Döhner H, Estey EH, Grimwade D, Amadori S, Appelbaum FR, Büchner T, et al. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2017;129(4):424–47.
Döhner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, et al. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022;140(12):1345–77.
Au CH, Wa A, Ho DN, Chan TL, Ma ESK. Clinical evaluation of panel testing by next-generation sequencing (NGS) for gene mutations in myeloid neoplasms. Diagn Pathol. 2016;22(11):11.
Chakravarty D, Gao J, Phillips SM, Kundra R, Zhang H, Wang J, et al. OncoKB: a precision oncology knowledge base. JCO Precis Oncol. 2017. https://doi.org/10.1200/PO.17.00011.
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(5):405–24.
Horak P, Griffith M, Danos AM, Pitel BA, Madhavan S, Liu X, et al. Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): joint recommendations of clinical genome resource (ClinGen), cancer genomics consortium (CGC), and variant interpretation for cancer consortium (VICC). Genet Med. 2022;24(5):986–98.
Nonino A, Campregher PV, de Souza Santos FP, Mazzeu JF, Pereira RW. Genomic characterization and prognostication applied to a Brazilian cohort of patients with myelofibrosis. Int J Hematol. 2020;112(3):361–8.
Santos FPS, Getta B, Masarova L, Famulare C, Schulman J, Datoguia TS, et al. Prognostic impact of RAS-pathway mutations in patients with myelofibrosis. Leukemia. 2020;34(3):799–810.
Datoguia TS, Velloso EDRP, Helman R, Musacchio JG, Salvino MA, Soares RA, et al. Overall survival of Brazilian acute myeloid leukemia patients according to the European LeukemiaNet prognostic scoring system: a cross-sectional study. Med Oncol. 2018;35(11):141.
Campregher PV, Halley NS, Vieira GA, Fernandes JF, Velloso EDRP, Ali S, et al. Identification of a novel fusion TBL1XR1-PDGFRB in a patient with acute myeloid leukemia harboring the DEK-NUP214 fusion and clinical response to dasatinib. Leuk Lymphoma. 2017;58(12):2969–72.
Campregher PV, Pereira WO, Lisboa B, Puga R, Deolinda ER, Helman R, et al. A novel mechanism of NPM1 cytoplasmic localization in acute myeloid leukemia: the recurrent gene fusion NPM1-HAUS1. Haematologica. 2016;101(7):e287–90.
Helman R, Pereira WO, Marti LC, Campregher PV, Puga RD, Hamerschlak N, et al. Granulocyte whole exome sequencing and endothelial JAK2V617F in patients with JAK2V617F positive Budd-Chiari syndrome without myeloproliferative neoplasm. Br J Haematol. 2018;180(3):443–5.
Papaemmanuil E, Gerstung M, Bullinger L, Gaidzik VI, Paschka P, Roberts ND, et al. Genomic classification and prognosis in acute myeloid leukemia. N Engl J Med. 2016;374(23):2209–21.
Cancer Genome Atlas Research Network, Ley TJ, Miller C, Ding L, Raphael BJ, Mungall AJ, et al. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013;368(22):2059–74.
Middeke JM, Herold S, Rücker-Braun E, Berdel WE, Stelljes M, Kaufmann M, et al. TP53 mutation in patients with high-risk acute myeloid leukaemia treated with allogeneic haematopoietic stem cell transplantation. Br J Haematol. 2016;172(6):914–22.
Short NJ, Montalban-Bravo G, Hwang H, Ning J, Franquiz MJ, Kanagal-Shamanna R, et al. Prognostic and therapeutic impacts of mutant TP53 variant allelic frequency in newly diagnosed acute myeloid leukemia. Blood Adv. 2020;4(22):5681–9.
Kim JJ, Lee KS, Lee TG, Lee S, Shin S, Lee ST. A comparative study of next-generation sequencing and fragment analysis for the detection and allelic ratio determination of FLT3 internal tandem duplication. Diagn Pathol. 2022;17(1):14.
He R, Devine DJ, Tu ZJ, Mai M, Chen D, Nguyen PL, et al. Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis. Mod Pathol. 2020;33(3):334–43.
Tung JK, Suarez CJ, Chiang T, Zehnder JL, Stehr H. Accurate detection and quantification of FLT3 internal tandem duplications in clinical hybrid capture next-generation sequencing data. J Mol Diagn. 2021;23(10):1404–13.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
da Rosa, S.E.A., de Lima, L.B., Silveira, C.N. et al. Real-world genomic profiling of acute myeloid leukemia and the impact of European LeukemiaNet risk stratification 2022 update. Clin Transl Oncol 25, 3431–3436 (2023). https://doi.org/10.1007/s12094-023-03195-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12094-023-03195-5