To the Editor
Recently, the 5th edition of ‘The World Health Organization (WHO) Classification of Tumors of Haematopoietic and Lymphoid Tissues’ (WHO2022) was released in beta version [1]. In WHO2022, the classification of AML underwent changes, separating AML with defining genetic abnormalities from AML defined by differentiation (AML-Diff). Additionally, AML with myelodysplasia-related changes (AML-MRC) was renamed ‘AML myelodysplasia-related’ (AML-MR), with updates including the removal of morphology as a sole diagnostic premise, revised cytogenetic criteria, and a mutation-based definition. An independent proposal, the International Consensus Classification (ICC), was also published during the same period [2]. This study aims to compare and analyze these two classifications, focusing on AML’s diagnostic criteria and entity definition.
Methods
Patients
A total of 861 newly-diagnosed AML patients aged ≥18 years, according to the revised 4th WHO classification (WHO2016) [3], were included from Oct. 2017 and Oct. 2021 at Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea (Fig. 1A). Bone marrow samples were independently reviewed and re-classified by five experienced haematopathologists (JJ, YK, J-ML, AA and MK). Risk stratification followed the 2022 European LeukemiaNet (ELN) classification [4]. The study’s last follow-up was Dec. 22nd, 2022 for survivors. Institutional Review Board approval was obtained (IRB No: KC23RISI0243).
Chi-square, Fisher’s exact, Mann–Whitney U, and Kruskal–Wallis H tests were used for comparison. Kaplan–Meier analysis with log-rank test was applied to plot overall survival (OS) curves. Prism version 9.5.1 for Windows (GraphPad, San Diego, CA, USA) and MedCalc 20.121 (MedCalc Software, Ostend, West-Vlaanderen, Belgium) were used.
Results
Reclassification of AML according to WHO2022 and ICC
There was no change in the classification for 205 patients with defining genetic abnormalities (RUNX1::RUNX1T1, PML::RARA, CBFB::MYH11, DEK::NUP214 and BCR::ABL1 fusions) between WHO2016 and WHO2022 (Fig. 1B). Under the WHO2022, which encompasses any partner gene rearranged with KMT2A in ‘AML with KMT2A rearrangement’, an additional 23 patients were reclassified into this category (Supplementary Table 1). These patients had KMT2A rearrangements involving genes other than MLLT3 and were originally diagnosed as AML-MRC (n = 8) and AML not otherwise specified (AML-NOS) (n = 15). A total of 14 fusion partners were detected, with AFDN (7.9%, n = 3), SEPT9 (7.9%, n = 3), and ELL (7.9%, n = 3) being the most frequently observed. Furthermore, updated classification introduced two new categories: NUP98 rearrangement (6 patients) and other genetic alterations (2 patients). The number of patients diagnosed as ‘AML with CEBPA mutation’, including both biallelic mutations and single mutations located in the basic leucine zipper (bZIP) region, was increased to 65 (7.5%) according to WHO2022, representing an additional 8 patients compared to 57 (6.6%) who were diagnosed as ‘AML with biallelic mutations of CEBPA’ according to WHO2016. AML-MR employed significantly new essential diagnostic criteria in WHO2022. A total of 243 patients were diagnosed as AML-MR. Majority (n = 186, 76.5%) of them were included in AML-MRC by WHO2016 while a considerable proportion were previously classified as ‘AML with RUNX1 mutation’ (n = 20, 8.2%) or AML-NOS (n = 37, 15.2%) by the same system. The DDX41 germline mutation, the most common genetic predisposition to MDS and AML, was identified in 31 patients, including 27 with two mutations (germline and somatic), and 4 with a single mutation. We found an additional 4 patients with a single somatic DDX41 mutation.
Comparing to WHO2022, the ICC classified NUP98 rearrangements as “other rare recurring translocations” and two gene fusions (PRDM16::RPN1 and RUNX1::CBFA2T3) were classified as ‘other rare recurring translocations’, whereas the WHO2022 classified them as AML-Diff (Supplementary Table 2). ICC implemented three categories: AML with mutated TP53 (AML-TP53), AML with myelodysplasia-related gene mutations (AML-MR-M), and cytogenetic abnormalities (AML-MR-C) (Supplementary Table 3). Thirty-four patients were diagnosed with AML-TP53. Most belonged to AML-MR, except for one in AML-Diff according to WHO2022. Within AML-TP53, 6 patients had multiple mutations, and 9 had a single mutation along with allele deletion, and 12 showed a TP53 mutation with variant allele fraction >49%, suggesting combined copy loss [5]. A total of 169 patients were diagnosed with AML-MR-M, and 75 patients as AML-MR-C by ICC. ICC criteria did not incorporate the ‘history of myelodysplastic neoplasm (MDS) or myelodysplastic/myeloproliferative neoplasm (MDS/MPN)’ as a criterion for categorizing AML-MR. As a result, 10 patients who were classified as AML-MR by WHO2022 were assigned to the AML-NOS category by ICC.
Gene profile in AML
Of 243 AML-MR patients classified by WHO2022, 75 had only cytogenetic abnormalities, 79 had only mutations, and 12 had only a history of MDS or MDS/MPN, while 77 patients fulfilled at least two of the essential diagnostic criteria and seven patients fulfilled all three criteria (Fig. 2A, Supplementary Fig. 1). Regarding cytogenetic abnormalities, complex karyotype was the most frequently detected (31.7%), followed by −7/del(7q) (23.9%), and del(5q) (21.4%) (Fig. 2B). Regarding mutations, 222 (89.2%) patients had at least one mutation, including 53 (21.3%) patients with one mutation, 64 (25.7%) patients with two mutations, and 105 (42.2%) patients with three or more mutations. ASXL1 was the most frequently mutated one (26.3%), followed by RUNX1 (19.3%), BCOR (15.2%), TP53 (14.4%), TET2(14.0%), DMNT3A (12.8%), SRSF2 (12.8%), IDH2 (11.9%), and U2AF1 (11.1%).
Among the 142 AML-Diff patients diagnosed by WHO2022, 124 had molecular mutations, 53 showed cytogenetic abnormalities (Fig. 2C), and 43 patients had both genetic mutations and cytogenetic abnormalities. Trisomy 8 was most common (10.6%), followed by del(20q) (3.5%) and -Y (2.1%) (Fig. 2D, Supplementary Fig. 2). ICC includes +8 and del(20q) as an additional cytogenetic abnormality in the classification of AML-MR-C, resulting in the classification of additional 19 patients under this category. In terms of mutations, DMNT3A (23.2%) was the most frequently mutated gene, followed by DDX41 (15.5%), RUNX1 (15.5%), IDH2 (14.1%), and NRAS (10.6%). The ICC includes RUNX1 mutation as an additional molecular abnormality in the classification of AML-MR-M, resulting in the classification of 22 patients under this category. Only eight patients of AML-Diff did not possess any genetic abnormalities.
Clinical outcomes
Median follow-up duration was 17 months (95% CI: 15.3–20.0 months). Three-year OS was 42.5% (95% CI: 39.0–45.9%). The prognostic accuracy of the 2022 ELN criteria was demonstrated in our dataset (Fig. 2E). No significant difference in OS was observed when comparing ‘AML with KMT2A::MLLT3’ and ‘AML with KMT2A rearrangement other than KMT2A::MLLT3’ (Fig. 2F, Supplementary Table 4). Patients with AML-MR in the WHO2022 had significantly shorter survivals than those with AML-Diff (10.0 months [95% CI: 7.0–13.0] vs. 23.0 months [95% CI: 17.0–31.0], p < 0.0001) (Fig. 2G). AML-Diff subgroups in the WHO2022 did not present a statistically significant difference in OS. When examining AML-MR subgroup, patients with history of MDS or MDS/MPN had shorter survival than those without the history (6.0 months [95% CI: 4.0–8.0] vs. 13.0 months [95% CI: 9.0–16.0], p = 0.0161) (Fig. 2H). According to the ICC criteria, AML-TP53 showed the shortest OS, followed by AML-MR (M or C) and AML-NOS (3.0 months [95% CI: 2.0–6.0] vs. 13.0 months [95% CI: 10.0–17.0] vs. 21.0 months [95% CI: 15.0–31.0], p < 0.0001) (Fig. 2I). In addition, AML-TP53 by ICC had shorter OS than those with AML-MR subgroup with history of MDS or MDS/MPN by WHO2022 (p = 0.0464) (Fig. 2J).
Discussion
Using WHO2022, 154 patients were reclassified from WHO2016, including 23 with KMT2A rearrangement and an additional 23 with other genetic abnormalities [6]. The WHO2022 had a significant impact on the AML-MR category. The majority of cases were originally classified as AML-MRC according to WHO2016, while 8.2% were reclassified from ‘AML with RUNX1 mutation’ and 15.2% from AML-NOS. The redefined AML-MR appears to provide a clear and simplified diagnostic approach as it removes morphology alone as a diagnostic criterion [7, 8]. Further, the AML-MR patients exhibited significantly worse survival outcomes compared to AML-Diff patients. In terms of genetics, all AML-MR had genetic abnormalities, particularly those associated with adverse risk group [9]. Among AML-Diff patients, 88.8% had genetic abnormalities falling into the favorable or intermediate risk groups [4]. Although there were some differences in defining AML-MR in ICC, the importance of clarifying the diagnostic criteria was not diminished. AML-MR (M or C) by ICC showed a worse clinical outcome compared to AML-NOS. While further research is required to better comprehend the relationships between these genetic aberrations with disease development/pathogenesis, it is evident that patients diagnosed with AML-MR based on the WHO2022 benefit from improved criteria.
This study, along with previous studies, has demonstrated that patients with history of MDS or MDS/MPN had a poor prognosis, likely due to the failure of hypomethylating agent treatment [10,11,12]. Similarly, AML-TP53, as indicated in the ICC, is associated with the poorest prognosis [13], emphasizing the importance of identifying these patients. In our study, we found that due to the minimal overlap between these two groups (only 5 patients), it is crucial to consider both classifications independently for risk stratification. Another noteworthy point is the increasing reliance on molecular techniques such as NGS, which may not be readily accessible in many hospitals. While these classifications are crucial for patient care [14], it is imperative to establish NGS as a part of routine practice to ensure the best possible care for patients.
In conclusion, our evaluation supports the refinements made in the WHO2022 classification for AML, and additionally incorporates the recommendations from ICC. Clinical, hematopathological, and genetic characteristics accumulated over the past two decades have contributed to the refinement of these classifications and the identification of new entities.
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;36:1703–19.
Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka H-M, et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood J Am Soc Hematol. 2022;140:1200–28.
Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127:2391–405.
Dohner 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;140:1345–77.
Grob T, Al Hinai ASA, Sanders MA, Kavelaars FG, Rijken M, Gradowska PL, et al. Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome. Blood. 2022;139:2347–54.
Meyer C, Burmeister T, Groger D, Tsaur G, Fechina L, Renneville A, et al. The MLL recombinome of acute leukemias in 2017. Leukemia. 2018;32:273–84.
Kang D, Jung J, Park S, Cho B-S, Kim H-J, Kim Y, et al. Genetic characteristics according to subgroup of acute myeloid leukemia with myelodysplasia-related changes. J Clin Med. 2022;11:2378.
Miesner M, Haferlach C, Bacher U, Weiss T, Macijewski K, Kohlmann A, et al. Multilineage dysplasia (MLD) in acute myeloid leukemia (AML) correlates with MDS-related cytogenetic abnormalities and a prior history of MDS or MDS/MPN but has no independent prognostic relevance: a comparison of 408 cases classified as "AML not otherwise specified" (AML-NOS) or "AML with myelodysplasia-related changes" (AML-MRC). Blood. 2010;116:2742–51.
Lindsley RC, Mar BG, Mazzola E, Grauman PV, Shareef S, Allen SL, et al. Acute myeloid leukemia ontogeny is defined by distinct somatic mutations. Blood. 2015;125:1367–76.
Xu XQ, Wang JM, Gao L, Qiu HY, Chen L, Jia L, et al. Characteristics of acute myeloid leukemia with myelodysplasia-related changes: A retrospective analysis in a cohort of Chinese patients. Am J Hematol. 2014;89:874–81.
Jiang G, Capo-Chichi JM, Liu A, Atenafu EG, Guo R, Tierens A, et al. Acute myeloid leukemia with myelodysplasia-related changes diagnosed with multilineage dysplasia alone demonstrates a superior clinical outcome. Hum Pathol. 2020;104:117–26.
Fang H, He R, Chiu A, Viswanatha DS, Ketterling RP, Patnaik MS, et al. Genetic factors in acute myeloid leukemia with myelodysplasia-related changes. Am J Clin Pathol. 2020;153:656–63.
Nakano Y, Naoe T, Kiyoi H, Kitamura K, Minami S, Miyawaki S, et al. Prognostic value of p53 gene mutations and the product expression in de novo acute myeloid leukemia. Eur J Haematol. 2000;65:23–31.
Braggio E, Egan JB, Fonseca R, Stewart AK. Lessons from next-generation sequencing analysis in hematological malignancies. Blood Cancer J. 2013;3:e127.
Acknowledgements
This study was supported by Research Fund of Seoul St. Mary’s Hospital, The Catholic University of Korea (ZC22SISI0441).
Author information
Authors and Affiliations
Contributions
Conceptualization and design: YK, B-SC and MK. Patient data and samples: DK and B-SC. Help interpret clinical data: SP and H-JK. Experiments, collections, and assembly of data: JJ, DK, J-ML, AA, HSK and BB. Data analysis and interpretation: JJ, DK, YK, B-SC and MK. Manuscript writing and editing: JJ, DK, YK, B-SC and MK. Critical revision: YK. All authors discussed the results and contributed to the final manuscript. All authors have read and agreed to the published version of the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Jung, J., Kwag, D., Kim, Y. et al. Perspectives on acute myeloid leukemia diagnosis: a comparative analysis of the latest World Health Organization and the International Consensus Classifications. Leukemia 37, 2125–2128 (2023). https://doi.org/10.1038/s41375-023-01996-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41375-023-01996-9