Outcome prediction by the 2022 European LeukemiaNet genetic-risk classification for adults with acute myeloid leukemia: an Alliance study

Recently, the European LeukemiaNet (ELN) revised its genetic-risk classification of acute myeloid leukemia (AML). We categorized 1637 adults with AML treated with cytarabine/anthracycline regimens according to the 2022 and 2017 ELN classifications. Compared with the 2017 ELN classification, 2022 favorable group decreased from 40% to 35% and adverse group increased from 37% to 41% of patients. The 2022 genetic-risk groups seemed to accurately reflect treatment outcomes in all patients and patients aged <60 years, but in patients aged ≥60 years, relapse rates, disease-free (DFS) and overall (OS) survival were not significantly different between intermediate and adverse groups. In younger African-American patients, DFS and OS did not differ between intermediate-risk and adverse-risk patients nor did DFS between favorable and intermediate groups. In Hispanic patients, DFS and OS did not differ between favorable and intermediate groups. Outcome prediction abilities of 2022 and 2017 ELN classifications were similar. Among favorable-risk patients, myelodysplasia-related mutations did not affect patients with CEBPAbZIP mutations or core-binding factor AML, but changed risk assignment of NPM1-mutated/FLT3-ITD-negative patients to intermediate. NPM1-mutated patients with adverse-risk cytogenetic abnormalities were closer prognostically to the intermediate than adverse group. Our analyses both confirm and challenge prognostic significance of some of the newly added markers.


INTRODUCTION
Pretreatment cytogenetic findings were first to be used to prognostically stratify patients with acute myeloid leukemia (AML) [1][2][3][4][5][6][7][8][9]. Subsequently, several gene mutations were demonstrated to provide additional prognostic information [10][11][12][13][14][15][16][17][18][19]. Therefore, in 2010, the first edition of the European LeukemiaNet (ELN) recommendations for diagnosis and management of AML included a standardized system for reporting cytogenetic findings and select gene mutations to enable meaningful comparisons among studies correlating genetic findings with clinical outcome [20]. Soon thereafter, several large studies demonstrated the ability of the 2010 ELN classification to prognostically separate the favorable and adverse groups from each other and from the two intermediate groups with regard to probability of complete remission (CR) attainment, disease-free (DFS) and overall survival (OS) [21][22][23][24]. This was shown to be independent from other prognostic factors by multivariable analyses [22]. The ELN classification was then modified in 2017 by combining two intermediate groups into one, recommending mutation analysis to be performed in all patients, not only those with cytogenetically normal AML (CN-AML), considering only biallelic CEBPA mutations as prognostically favorable, requiring determination of high and 1 low allelic ratios for internal tandem duplications of FLT3 (FLT3-ITD), and adding ASXL1, RUNX1 and TP53 mutations as adverse-risk markers [25]. The ELN genetic-risk classifications have been used in daily clinical practice to predict response to conventional chemotherapy and help guide treatment decisions, including the need for more intensive consolidation or alternative regimens.
The recently updated 2022 ELN recommendations include a revised genetic-risk classification that incorporates recent advances in our understanding of prognostic significance of genetic alterations in AML [26]. Major changes from 2017 ELN include the addition of seven myelodysplasia-related mutations to the adverse group (in the absence of favorable-risk markers); placing NPM1-mutated patients with adverse-risk cytogenetic abnormalities in the adverse group; consideration of only the presence, not allelic ratio, of FLT3-ITD; and the substitution of biallelic CEBPA mutations with inframe mutations affecting the basic leucine zipper (bZIP) region of the CEBPA gene (CEBPA bZIP ) as favorable-risk markers. Additionally, t(8;16)(p11.2;p13.3)/KAT6A::CREBBP and t(3;v)(q26.2;v)/MECOM(EVI1)rearranged have been added to the adverse group, and hyperdiploid karyotypes with ≥3 trisomies without structural abnormality are no longer considered as complex [26].
The goals of our study were to assess how well the 2022 ELN genetic-risk groups associate with treatment response, DFS and OS, to compare the performance of the 2022 and 2017 ELN classifications both in all patients and in age cohorts, and to assess the effectiveness of newly introduced features in outcome prediction.

Patients and treatment
We analyzed 1637 adults diagnosed with de novo AML (other than acute promyelocytic leukemia, which is not included in the 2022 ELN guidelines), including 1040 patients aged <60 years (hereafter referred to as younger) and 597 patients aged ≥60 years (older), who were treated on Cancer and Leukemia Group B (CALGB) frontline treatment protocols between 1986 and 2013. CALGB is now part of the Alliance for Clinical Trials in Oncology (Alliance). For definition of race and ethnicity please see Supplementary Information. Younger patients received intensive cytarabine/daunorubicinbased induction chemotherapy and consolidation with high-dose chemotherapy or autologous hematopoietic stem-cell transplantation (HSCT; details of treatment trials are provided in the Supplementary Information). All patients aged ≥60 years received cytarabine/daunorubicin-based chemotherapy.
Analyses of DFS and OS were conducted on patients who did not receive an allogeneic HSCT in first CR (94% of patients; 6% underwent HSCT). All patients provided written informed consent to participate in treatment studies and for the research use of their specimens before enrollment in agreement with the Declaration of Helsinki. Study protocols were approved by the Institutional Review Board at each center.

Cytogenetic and molecular genetic analyses
Cytogenetic analyses of pretreatment bone marrow (BM) and/or blood samples were performed by CALGB/Alliance-approved institutional laboratories and the results confirmed by central karyotype review [27]. CN-AML was determined by analysis of ≥20 metaphase cells from BM subjected to short-term (24-48-h) unstimulated cultures [27].
The mutational status of the ASXL1, BCOR, EZH2, NPM1, RUNX1, SF3B1, SRSF2, STAG2, TP53, U2AF1 and ZRSR2 genes was determined centrally at The Ohio State University in patients' DNA extracted from viably frozen cells collected via companion protocol CALGB 20202 by targeted amplicon sequencing using the MiSeq platform (Illumina, San Diego, CA) [28]. Testing for FLT3-ITD was done using the Sanger sequencing method [13]. Detection of CEBPA bZIP mutations was performed according to the 2022 ELN guidelines [26] using mutational profiling via targeted amplicon sequencing and/or transcriptional profiling [29]. Further experimental details are provided in the Supplementary Information.

Clinical endpoints and statistical analysis
Clinical endpoints were defined according to generally accepted criteria [20,25,26,30] and treatment study protocols. DFS was measured from the date of CR until the date of relapse or death from any cause, and relapse-free patients were censored at the last followup. OS was measured from the date on study until the date of death, and patients alive at last follow-up were censored. Data quality was ensured by review of data by the Alliance Statistics and Data Management Center and by the chairpersons of included studies following Alliance policies.
Pretreatment characteristics were compared using the Fisher's exact and Wilcoxon rank-sum tests for categorical and continuous variables, respectively. For time-to-event analyses, we calculated survival estimates using the Kaplan-Meier method and compared groups using the log-rank test [31]. For comparisons of predictive values of the 2022 and 2017 ELN genetic-risk classifications, we used receiver operating characteristic (ROC) curves as graphical plots. The areas under the curve (AUC) are provided together with the 95% confidence intervals. An AUC = 0.50 denotes lack of prediction ability, equivalent to that of random chance or a coin flip, whereas an AUC = 1.00 (highest possible value) indicates perfect prediction ability. Commonly accepted criteria are that an AUC of 0.6-0.69, 0.7-0.79, 0.8-0.89, and ≥0.9 indicate, respectively, poor, fair, good and very good prediction ability [32,33]. In our models with a binary outcome, the AUC is equal to the more commonly known c-statistic [31][32][33][34]. The binary outcomes we considered were CR achievement (yes/no), relapse (yes/no), DFS (relapsed or dead versus relapse-free at three years) and OS (dead or alive at three years).
The dataset was locked on August 24, 2022. Data collection and statistical analyses were performed by the Alliance Statistics and Data Management Center using SAS 9.4 and TIBCO Spotfire S + 8.2. The median follow-up for patients still alive was 7.6 years.

RESULTS
The distribution of risk-groups according to the 2022 and 2017 ELN classifications Per the 2022 ELN classification, 35% of patients were assigned to the favorable group, 24% to intermediate and 41% to the adverse group. This represents a decrease in the proportion of patients in the favorable group and increase in the proportion of patients in the adverse group compared with the respective genetic-risk groups using 2017 ELN classification, namely, 40%, 23%, and 37% (Fig. 1a). More detailed reallocation of patients from 2017 ELN genetic-risk groups into the 2022 ELN ones is illustrated by Supplementary Fig. 1.

Associations between 2022 ELN genetic-risk groups and clinical outcome
Eighty-four percent of favorable-risk patients achieved a CR, compared with 68% of intermediate-risk and 44% of adverse-risk patients (P < 0.001, Table 1). Relapse rates also differed among genetic-risk groups (52% vs 72% vs 87%, P < 0.001) as did DFS (5year rates, 44% vs 21% vs 6%, P < 0.001; Fig. 1b) and OS (5-year rates, 48% vs 22% vs 7%, P < 0.001; Fig. 1c; Table 1). Multivariable analyses revealed that CR rates, DFS and OS remained better for patients in the favorable and intermediate groups compared with patients in the adverse group (P < 0.001 for all comparisons) after adjustment for such established prognostic factors in AML as age, WBC or platelets (Supplementary Table 1). Thus, the 2022 ELN genetic-risk groups seemed to accurately reflect patient outcomes with respect to achievement of CR, relapse rates, DFS and OS. However, when we compared the abilities of outcome prediction between the 2022 and 2017 ELN classifications, we found no significant differences with regard to CR achievement Breakdown of genetic-risk groups in younger and older patients for 2022 and 2017 ELN classifications and associations with outcome It is well established that the distributions of many cytogenetic abnormalities and gene mutations differ between younger and older patients [19,22,28,[35][36][37][38][39][40], as did the distributions of genetic-risk groups and their associations with outcome in 2010 ELN [21,22] and 2017 ELN [41][42][43] classifications. Moreover, the availability of new regimens for older and/or unfit patients makes assessment of the likelihood to respond to therapy separately in older and younger patients of importance. Thus, we assessed the risk-group distributions and outcomes of patients aged <60 years and those aged ≥60 years. As Figs Table 2). Among patients aged ≥60 years, those in the favorable group had better outcome than patients in both remaining groups. However, with the exception of CR rates, which were higher for intermediatethan adverse-risk patients (54% vs 35% P < 0.001), the outcome of patients classified in the intermediate group was very poor and did not differ significantly from outcome of the adverse group with regard to relapse rates (89% vs 88% P = 1.00), DFS (5-year rates, 5% vs 5%, P = 0.27) or OS (5-year rates, 6% vs 2%, P = 0.09; Fig. 3b, c, Supplementary Table 3).
We also performed exploratory analyses of the outcomes of younger patients of African-American ancestry and those selfidentifying as Hispanics. We found no significant differences in DFS of African-American patients between the 2022 ELN favorable and intermediate (5-year rates, 32% vs 30%, P = 0.42) groups nor in DFS (5-year rates, 30% vs 0%, P = 0.30) and OS (5-year rates, 24% vs 3%, P = 0.46) between intermediate and adverse groups ( Supplementary Fig. 3a, b, Supplementary Table 4). Moreover, among younger Hispanic patients, we observed no significant differences in DFS (5-year rates, 47% vs 67%, P = 0.42) or OS (5year rates, 61% vs 71%, P = 0.67) between the 2022 ELN favorable and intermediate groups ( Supplementary Fig. 3c, d, Supplementary Table 5). There were not enough patients aged ≥60 years in either racial-ethnic group for similar analyses.
Next, we compared the abilities of outcome prediction between the 2022 ELN and 2017 ELN classifications separately in younger and older patients. We found no significant advantage for the use of 2022 ELN classification over the 2017 ELN one in either the younger ( Supplementary Fig. 4a-d) or older patients (Supplementary Fig. 5a-d).  Assessment of the newly introduced prognostic markers AML with myelodysplasia-related gene mutations. A major change in the 2022 ELN classification was the addition of seven myelodysplasia-related gene mutations (in the BCOR, EZH2, SF3B1, SRSF2, STAG2, U2AF1 and ZRSR2 genes) to the ASXL1, RUNX1 and TP53 mutations already included in the 2017 ELN classification as criteria for adverse group assignment, unless they co-exist with "favorable-risk AML subtypes" [26]. Indeed, in our cohort, patients with myelodysplasia-related mutations and no favorable genetic features had a low CR rate similar to the CR rate of patients with other adverse-risk markers (43% vs 44%, P = 0.75) and their DFS was not significantly different (5-year rates, 5% vs 8%, P = 0.10). However, patients with myelodysplasia-related mutations had longer OS (1-year rates, 38% vs 24%, 5-year rates, 7% vs 7%, P = 0.005). Conversely, the outcome of patients with myelodysplasia-related mutations without favorable-risk features was worse than the outcome of patients harboring myelodysplasia-related mutations together with favorable genetic-risk markers (CR rates, 43% vs 73%, P < 0.001; DFS, 5-year rates, 5% vs 39%, P < 0.001; OS, 5-year rates, 7% vs 39%, P < 0.001; Fig. 4a, b, Supplementary Table 6). However, the outcome of patients with favorable-risk AML harboring myelodysplasia-related mutations was worse than the outcome of patients with favorable-risk AML without myelodysplasia-related mutations (CR rates, 73% vs 86%, P = 0.004; OS, 5-year rates, 39% vs 50%, P = 0.003), although the difference in DFS was not statistically significant (5-year rates, 39% vs 45%, P = 0.14; Fig. 4c, d, Supplementary Table 7).
Notably, the favorable genetic-risk group comprises three distinct subtypes, namely NPM1-mutated patients without FLT3-ITD, patients with core-binding factor AML (CBF-AML), and those with CEBPA bZIP mutations. Thus, we next tested whether co-occurring myelodysplasia-related mutations impacted each of the aforementioned subsets alike. We found that co-occurring myelodysplasia-related mutations did not substantially affect the favorable impact of CBF-AML (CBF-AML with myelodysplasia-associated mutations vs CBF-AML without: CR rates, 93% vs 92%, P = 1.00; DFS, 5-year rates, 57% vs 51%, P = 0.65; OS, 5-year rates, 66% vs 63%, P = 0.65; Supplementary Table 8, Supplementary Fig. 6a, b), or of CEBPA bZIP mutations (CR rates: 76% vs 85%, P = 0.33; DFS, 5-year rates, 38% vs 43%, P = 0.74; OS, 5-year rates: 38% vs 50%, P = 0.49; Supplementary Table 9, Supplementary Fig. 6c, d). However, the presence of myelodysplasia-related mutations resulted in worsening treatment outcome of NPM1-mutated/FLT3-ITDnegative patients, who had lower CR rates (67% vs 81%, P = 0.02), and shorter DFS (5-year rates, 30% vs 43%, P = 0.03) and OS (5-year rates, 32% vs 42%, P = 0.005) than NPM1mutated/FLT3-ITD-negative patients without myelodysplasiaassociated mutations (Fig. 4e, f, Supplementary Table 10). Consequently, we compared outcome of the NPM1-mutated/ FLT3-ITD-negative patients who carried myelodysplasia-related mutations with outcome of patients included in the 2022 ELN intermediate group. Surprisingly, we found no significant differences between these subsets in CR rates (67% vs 68%, P = 1.00), relapse rates (70% vs 72%, P = 0.71), DFS (5-year rates, 30% vs 21%, P = 0.19) or OS (5-year rates, 32% vs 22%, P = 0.28; Supplementary Table 11). These results suggest that the prognostic significance of myelodysplasia-related mutations that "co-occur with favorable-risk AML subtypes" is not the same for all genetic subtypes comprising the 2022 ELN favorable group. AML with NPM1 mutations co-occurring with adverse-risk cytogenetic features. Another refinement of the 2022 ELN genetic-risk classification was that the presence of adverse-risk cytogenetic abnormalities in NPM1-mutated AML now defines adverse risk [26]. Hence, we compared the outcome of NPM1-mutated patients classified in the favorable group (i.e., NPM1-mutated patients without FLT3-ITD) with outcome of NPM1-mutated/FLT3-ITDnegative patients with adverse-risk chromosome abnormalities. We found that although the CR rate of NPM1-mutated patients with adverse-risk abnormalities was lower than that of patients without adverse-risk abnormalities, the difference was not significant (64% vs 79%, P = 0.20), nor was the difference in relapse rates (88% vs 56%, P = 0.14). However, OS of NPM1mutated patients with adverse-risk abnormalities was shorter (5-year rates, 23% vs 41%, P = 0.04) and DFS tended to be worse (5-year rates, 38% vs 41%, P = 0.06; Supplementary Table 12) than those of patients without adverse-risk cytogenetics. We then compared the former subset with other patients in the 2022 ELN adverse group. Although there were no significant differences for any of the endpoints analyzed, CR rates (P = 0.17), DFS (P = 0.12) and OS (P = 0.08), they all tended to be better for NPM1-mutated patients with adverse-risk abnormalities than for other adverserisk patients (Supplementary Table 12). This prompted us to check whether the outcomes of NPM1-mutated patients with adverserisk abnormalities were different from or similar to outcome of patients in the 2022 ELN intermediate group. As data in the Fig. 5a, b and Supplementary Table 13 show, NPM1-mutated patients with adverse-risk abnormalities were much closer prognostically to the 2022 ELN intermediate than adverse group.
Additionally, the 2022 ELN guidelines classify NPM1-mutated patients who harbor FLT3-ITD in the intermediate group, unless they also have adverse cytogenetics, which re-assigns such patients to the adverse group. Unfortunately, there were only four patients with NPM1 mutations, FLT3-ITD and adverse cytogenetic abnormalities in our study, which precluded further analysis.
AML with FLT3-internal tandem duplication. AML with FLT3-ITD is now categorized in the intermediate group, irrespective of the allelic ratio or concurrent presence of NPM1 mutations [26]. As this change was partially justified by the modifying impact of midostaurin-based therapy on FLT3-ITD without NPM1 mutation, we separately analyzed the survival of patients treated with chemotherapy only and of those receiving midostaurin on the CALGB 10603 (RATIFY) protocol. Among patients receiving chemotherapy, those with FLT3-ITD had worse relapse rate (P = 0.01), DFS (P < 0.001) and OS (P < 0.001), and lower CR rates, but not significantly so (P = 0.08), than other patients included in the 2022 ELN intermediate group. Compared with the adverse group, although FLT3-ITD-positive patients had higher CR rates (P < 0.001) and longer OS (P < 0.001), their relapse rates (P = 0.21) and DFS (P = 0.34) were not significantly different (Fig. 5c, d,  Supplementary Table 14). There were no significant differences in CR (P = 0.82) or relapse rates (P = 1.00), DFS (P = 0.14) or OS (P = 0.11) between a relatively small cohort of patients with FLT3-ITD treated with midostaurin and those receiving chemotherapy only (Supplementary Table 15, Supplementary Fig. 7a, b).
AML with CEBPA bZIP mutations. One of the notable changes to the criteria used for classifying patients into the 2022 ELN favorable genetic-risk group was replacing biallelic CEBPA mutations by the in-frame CEBPA bZIP mutations [26]. To assess this change, we first prepared Kaplan-Meier curves illustrating outcomes of all patients with biallelic CEBPA mutations (regardless whether they included CEBPA bZIP mutations or not) and of all patients with CEBPA bZIP mutations (irrespective whether these were monoallelic or biallelic mutations; Supplementary Fig. 8a, b). We could not formally compare these patient groups because some patients were included in both groups. Nevertheless, although OS of patients with CEBPA bZIP mutations seemed slightly better, the improvement over biallelic CEBPA mutations did not appear compelling and the Kaplan-Meier curves representing DFS overlapped. We then compared outcomes of three subsets among CEBPA-mutated patients: those with monoallelic CEBPA bZIP mutations, with biallelic CEBPA bZIP mutations and with biallelic non-bZIP CEBPA mutations. As expected, patients in the last aforementioned group had the worst outcome. Somewhat surprisingly, patients with biallelic CEBPA bZIP mutations had higher CR rates (95% vs 64%, P < 0.001), and longer OS (5-year rates, 53% vs 38%, P = 0.009), but not DFS (P = 0.27), than patients with monoallelic CEBPA bZIP mutations ( Supplementary Fig. 8c, d; Supplementary Table 16).

DISCUSSION
In this study of a large patient cohort with long follow-up, we applied the revised 2022 ELN criteria to stratify patients with de novo AML into genetic-risk groups and compared the performance of the modified classification with the previous one published in 2017. In the entire cohort, patients assigned to the 2022 ELN favorable group had better outcomes than those in the intermediate group, whose outcome was better than outcome of patients in the adverse group. Using ROC curves and the area under the curve we found that according to commonly accepted criteria [32,33] the prediction ability of the 2022 ELN classification was fair for attainment of CR, DFS and OS, but poor for predicting relapse. Importantly, despite newly introduced modifications, the predictive ability of the 2022 ELN genetic-risk classification was essentially the same as predictive ability of the 2017 ELN classification with regard to all outcome endpoints tested.
Since the distribution of ELN genetic-groups differs between younger and older adults, with the former being more often classified in the favorable and the latter in the adverse groups, we analyzed patients aged <60 years and those aged ≥60 years separately. While in the younger patients the 2022 ELN classification separated genetic-risk groups quite well, among older adults only those in the favorable group had better outcomes, whereas there were no significant differences in relapse rates, DFS or OS between the intermediate and adverse groups. In a previous study, we observed a similar phenomenon in older patients classified according to the 2017 ELN criteria [42]. Therefore, our data support previous suggestions [22] that the ELN genetic-risk classification should be tailored to younger and older adults separately, which is also supported by the availability of treatment options targeting specific genetic alterations [44][45][46][47][48], whose incidence differs between younger and older patients [19,22,28,[35][36][37][38][39][40][41][42][43].
Moreover, our preliminary results indicate the need for large studies focused on racial/ethnic groups such as African-American and Hispanic patients. We found no significant differences in Although these results may be in part related to the relatively low number of patients we were able to analyze, previously identified racial/ ethnic differences in the distribution of genetic alterations and outcomes [49][50][51][52][53] warrant application of 2022 ELN criteria to larger cohorts of African-American and Hispanic patients to confirm or refute our observations.
Among major aims of our study was evaluation of the new markers used for 2022 ELN group assignment. First, we found that patients harboring one or more myelodysplasia-related gene mutations without favorable-risk features had indeed very poor outcome placing them in the adverse group, and that the coexistence of favorable-risk features substantially improved patient outcomes. However, this improvement has not been sufficient to place the entire cohort of patients with favorable-risk AML and myelodysplasia-related mutations in the 2022 ELN favorable group, since their CR rates and OS were significantly worse. Importantly, the 2022 ELN favorable group is not homogeneous and consists of three major subsets. Our analyses revealed that myelodysplasiarelated mutations did not negatively affect outcome of patients with CBF-AML and those harboring CEBPA bZIP mutations, who would still be classified in the favorable group. However, the presence of myelodysplasia-related mutations in NPM1-mutated/ FLT3-ITD-negative patients portended worse outcome, which placed these patients firmly in the 2022 ELN intermediate, not favorable, group. If these results are corroborated, future editions of the ELN classification should consider modification of riskassignment for the aforementioned patient subsets.
Likewise, we have confirmed that patients with NPM1 mutations co-occurring with adverse-risk cytogenetic features have worse prognosis than other NPM1-mutated patients included in the 2022 ELN favorable group. However, in contrast to the results of a recent study [54], the former subset seems to be closer prognostically to the 2022 ELN intermediate rather than adverse group. Unfortunately, the low number of patients with NPM1 mutations and adverse-risk cytogenetics (n = 14) precludes us from making a definitive recommendation and shows the need for further study. Likewise, it is also necessary to confirm in larger patient cohorts that patients with FLT3-ITD belong to the intermediate group.
Based on recent reports [29,55,56], 2022 ELN recommendations replaced biallelic CEBPA mutations with the in-frame CEBPA bZIP mutations as a criterion for classifying patients into the favorable genetic-risk group. We have generally confirmed that CEBPA bZIP mutations confer better prognosis than biallelic, non-bZIP CEBPA mutations. Rather surprisingly, however, we found that patients with biallelic CEBPA bZIP mutations had higher CR rates and longer OS than patients with monoallelic CEBPA bZIP mutations, which differs from previously reported data [29,55,56]. The reasons for this discrepancy are unclear, but may be partially attributed to differences in treatment administered in different studies.
Among limitations of our study is its retrospective nature and the inability to assess the outcomes of patients with cytogenetic markers newly added to the 2022 ELN genetic-risk classification such as prognostically adverse t(8;16)(p11.2;p13.3)/KAT6A::CREBBP and t(3;v)(q26.2;v)/MECOM(EVI1)-rearranged, or hyperdiploid complex karyotypes with three or more trisomies without structural abnormalities that are no longer considered to be adverse markers. All these chromosome abnormalities occurred in too few patients for meaningful analyses in our study, thus warranting further collaborative efforts involving large AML study groups.
In summary, our large study assessing the newly revised 2022 ELN genetic-risk classification confirms its usefulness for prognostic stratification of patients with de novo AML. However, despite introduction of several new criteria, we found no advantage of this classification over the previous one published in 2017. Importantly, our data support earlier calls for separating younger from older adults because both the incidence of genetic alterations and outcomes differ between these age groups [19,22,28,[35][36][37][38][39][40][41][42][43]. It is hoped that future ELN recommendations will consider our and other [38,57,58] suggestions for refinement of the genetic-risk classification of AML.

DATA AVAILABILITY
Patient data used in survival analyses were obtained from the Alliance Statistics and Data Management Center. Individual participant data will not be shared.