To the Editor,
Mutations affecting the genes DNMT3A, TET2, and ASXL1—commonly referred to as DTA mutations—belong to the founding mutations in acute myeloid leukemia (AML) but usually are not capable to initiate the disease by themselves [1]. While TET2 mutations do not have a common hotspot, mutations in DNMT3A and ASXL1 frequently occur at specific positions (DNMT3A in R882 and ASXL1 as G646fs*12, henceforward referred to as “canonical”). DTA mutations seem to grant a proliferation advantage to hematopoietic progenitor cells, leading to their expansion in otherwise healthy individuals over time and also to a rapid bone marrow repopulation after chemotherapy in AML patients [2]. Thus, their detection in complete remission can be attributed to either measurable residual disease (MRD) with associated higher relapse risk or a pre-leukemic clone with a much lower risk of AML reoccurrence. Analyses that studied the dynamic mutation burden during AML disease course described a lower probability of DTA mutations clearance after chemotherapy compared to mutations in genes reflecting secondary genetic events, such as FLT3 or NRAS [3, 4]. Furthermore, while DTA mutations often persisted at high variant allele frequencies (VAFs) in AML remission, these aberrations mostly do not lead to increased relapse rates within the follow-up time of the respective studies [4, 5]. On the other hand, when mutation burden and clinical course were correlated in single individuals, at least in some patients, DNMT3A mutations paralleled the dynamics of the NPM1 mutation and clinical disease burden [6]. However, in studies not considering the specific mutation type of DTA mutations, a clinical utility for MRD detection could not be shown after induction therapy [4, 7] or at the end of treatment [4]. Subsequently, a limited relevance as MRD markers in AML patients was suggested which led to the exclusion of DTA mutations from most MRD studies [7, 8].
Although randomized trials are lacking, there is evidence that allogeneic hematopoietic stem cell transplantation (HSCT) may improve outcomes in patients who remain MRD positive after intensive chemotherapies [3, 9], with the caveat of inferior outcomes for MRD- positive compared to MRD-negative patients after HSCT [8, 10, 11]. Two studies impressively pointed out that the detection of persisting gene mutations at HSCT associates with adverse clinical outcomes [8, 10]. However, DNMT3A mutations were excluded in one analysis [8] and both studies did not report on ASXL1 mutations—most likely due to the difficulties to detect insertions at codon 646 by NGS technology. Due to restricted patient numbers, the remaining data on TET2 and DNMT3A were not sufficient to draw clinical conclusions prior to HSCT [8, 10]. Thus, the possibilities to define risk stratification prior to allogeneic HSCT in patients harboring DTA mutations have not yet been evaluated. One study analyzed the impact of detectable DTA mutations after HSCT but could not draw explicit conclusions [12], and none of the aforementioned studies analyzed canonical and non-canonical DTA mutations separately.
We analyzed 68 AML patients who harbored at least one DTA mutation at diagnosis and received an allogeneic HSCT at a median age of 64.1 (range 34.7–75.3) years. Patients’ characteristics are given in Supplementary Table S1. Written informed consent was obtained from all patients in accordance with the Declaration of Helsinki. Sixty-three patients had one mutated DTA gene (37 affecting DNMT3A, 13 affecting TET2, and 13 affecting ASXL1), four patients had two mutated DTA genes (three with mutated DNMT3A and mutated TET2, and one with mutated TET2 and ASXL1) and one patient harbored mutations in all three genes. Of the detected mutations in ASXL1 and DNMT3A, 3/15 and 16/41 were non-canonical, not affecting the respective G646 or R882 hotspot regions. Frequent co-mutations and the distribution of DTA mutated patients within the ELN2017 risk groups are shown in Fig. 1A, B. There were no outcome differences between patients harboring a DNMT3A, TET2, or ASXL1 mutation at diagnosis (Fig. S1).
Fig. 1. Analysis of DTA mutations at diagnosis and as MRD markers prior to allogeneic HSCT.
A Co-mutational pattern and (B) Distribution of the three ELN2017 risk groups within DNMT3A, TET2, and ASXL1 mutated AML patients at diagnosis. C Overview of VAF levels of persisting DNMT3A, TET2, and ASXL1 mutations and comparison of persisting non-canonical vs canonical DNMT3A or ASXL1 mutations at HSCT. D Cumulative Incidence of Relapse and Overall Survival according to persisting vs non-persisting DTA mutations at HSCT (n = 50). E Cumulative Incidence of Relapse and Overall Survival according to the presence of a non-canonical vs a canonical mutation in patients with persisting DNMT3 or ASXL1 mutations.
Analyzing patients with available paired samples at diagnosis and HSCT (for applied assays and assay sensitivity see Table S2 and Figs. S2, S3), the majority of patients (84%) had persisting DTA mutations. DNMT3A mutations persisted in 25/29, TET2 in 13/14, and ASXL1 in 6/10 patients in remission at HSCT. Of the patients with multiple DTA mutations, mutations at HSCT concordantly persisted in 2 of 3 patients. In one patient an ASXL1 mutation was not detectable while a TET2 mutation persisted at a VAF of 1.1%. In DNMT3A and ASXL1 mutated patients, there was no difference regarding the frequency of persisting canonical vs non-canonical mutations (17/19 vs 8/10, P = 1 and 4/7 vs 2/3, P = 1, respectively). Of the analyzed non-canonical mutations in DNMT3A 10% were frameshift, 60% were missense, and 30% were nonsense, while in ASXL1 all non-canonical mutations were nonsense (Table S3). Overall, DTA mutations persisted at HSCT at highly variable VAFs with a median of 11.7% (range 0.4–42.5) for DNMT3A, 15.2% (range 0.3–64.5) for TET2 and 5.1% (range 0.4–16.1) for ASXL1 mutations. Non-canonical DNMT3A and ASXL1 mutations tended to persist at lower VAFs compared to canonical mutations (P = .08, Fig. 1C). Characteristics of canonical compared to non-canonical DNMT3A and ASXL1 mutations at HSCT are given in Table S4.
In line with the general opinion in the field, we did not observe an association of persisting DTA mutations at HSCT with a distinct cumulative incidence of relapse (CIR, P = .37) or overall survival (OS, P = 0.30, Fig. 1D). However, in DNMT3A or ASXL1 mutated patients, the persistence of a non-canonical mutation associated with significantly higher CIR (P = 0.01) and shorter OS (P = 0.04) compared to the persistence of canonical mutations (Fig. 1E) suggesting that they—in contrast to canonical mutations—might have a different clinical value as they seem to be able to detect AML MRD.
As studies regarding the utility of MRD markers at HSCT for DTA mutated patients have not been published, we correlated available MRD data at HSCT for our patient cohort with outcome adapting established MRD assays in our institution (Supplementary Material) [11]. Including non-canonical DNMT3A and ASXL1 mutations MRD to the MRD information derived from NPM1 mutation and BAALC/ABL1 and MN1/ABL1 copy numbers MRD led to improved Bayesian Information Criterion (BIC) models for CIR and OS prediction (Table S5). Combining all five MRD markers, DTA mutated patients with at least one positive MRD marker at HSCT had a higher CIR (P = 0.002) and shorter OS (P = 0.001, Fig. S4). MRD positivity retained its prognostic power in multivariate analyses for CIR and OS, (Table S6) while also the number of positive MRD markers (no vs one vs ≥ two positive MRD markers) correlated with stepwise worse outcomes after HSCT (Fig. S4).
With a median age at HSCT of 64.7 years our study reflects a common AML patient population. Median follow up was 5.0 years from HSCT, a time interval in which the majority of AML patients suffer their relapse. However, the study’s limitations are its’ restricted patient numbers, as well as its retrospective nature with the need for confirmation in larger clinical trials.
In conclusion, our data demonstrate that overall, the detection of DTA mutations at diagnosis and prior to allogeneic HSCT does not associate with adverse outcomes, including late events after HSCT. However, non-canonical DNMT3A and ASXL1 mutations seem to persist at lower VAF levels and associate with worse outcomes compared to the persistence of canonical mutations, challenging the current paradigm that all DTA mutations are unsuitable for MRD evaluation. Including non-canonical DNMT3A and ASXL1 mutations in the armory of useful MRD markers may help to improve the risk stratification of DTA mutated patients.
Supplementary information
Acknowledgements
This study was supported by “Zusammen gegen den Krebs e.V.” [S.S.], the Deutsche Jose Carreras Leukämie-Stiftung (04 R/2016 [S.S.] and PS15/05 [J.G.]), the Deutsche Gesellschaft für Innere Medizin [M.J.], and „Ein Herz für Kinder e.V.“ The authors thank Christel Müller, Daniela Bretschneider, Evelin Hennig, Sabine Leiblein, Martina Pleß, Ulrike Bergmann, Janet Bogardt, Annette Jilo, and Dagmar Cron for their help in determining cytogenetic, morphologic, and immunological analyses, and Christine Günther, Scarlett Schwabe, Ines Kovacs, and Kathrin Wildenberger for their help in sample processing.
Author contributions
M.J. and S.S. contributed to the design and analysis of this study and the writing of the manuscript, and all authors agreed on the final version. M.J., J.G., M.B., D.Ba., J.K., D.Br., and J.S. carried out the laboratory-based research; M.J. and S.S. performed statistical analyses; and G.N.F., V.V., U.P., D.N., and S.S. provided administrative support.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41409-021-01407-6.
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