Diverse real-life outcomes after intensive risk-adapted therapy for 1034 AML patients from the CETLAM Group

Introduction

Acute myeloid leukemia (AML) is clinically and genetically heterogeneous, and the prognosis is variable. Leukemia progression or relapse is the major drawback for long-term survival. Median age at diagnosis of AML is 64–67 years [1, 2]. Older AML patients frequently present with the higher number of comorbidities, adverse genetic lesions, and worse response to treatment [3,4,5].

The treatment approach varies according to the patient’s fitness to tolerate the toxicities of intensive chemotherapy (CT) regimens and allogeneic stem cell transplant (alloHCT) [6,7,8]. Age per se is not a criterion of unfitness [9,10,11]. The advent of venetoclax plus hypomethylating (HMA) combination has improved the survival of patients not candidates for CT [12, 13]. The remarkable proportion of complete remissions (CR) achieved and, in a proportion of patients, the subsequent feasibility of alloHCT is challenging the indication of front-line intensive CT even in fit older adults ( > 55–60 years old) [14,15,16,17]. In this regard, prospective randomized trials comparing CT vs. venetoclax-azacitidine are ongoing (#NCT04801797, #NCT03573024). Awaiting these results, it is of interest to investigate the factors that impact the outcome of patients that were considered fit for CT to identify those with good survival perspectives and others that are poor candidates in which less intensive and novel approaches may be justified.

The present work reflects the outcome of intensive therapy in more than 1000 AML patients uniformly treated and gives information on the feasibility of the treatment plan in a multicenter experience.

Methods

Patients with newly diagnosed AML aged 18 to 70 who were fit for intensive CT were consecutively enrolled into the AML-12 protocol, a prospective post-approval study of the Spanish CETLAM group fully described in the supplementary file and available at www.clinicaltrials.gov (NCT04687098).

Ethics approval and consent to participate

The present study was reviewed and approved by the ethics committee of the Hospital de la Santa Creu i Sant Pau (Comité ètic d’Investigació Clínica, registration number 11/2012). All methods were performed in accordance with the relevant guidelines and regulations. Informed consent for both bone marrow analysis and treatment was obtained in all cases according to the Declaration of Helsinki.

Treatment description

Induction CT included idarubicin 12 mg/m2 IV, days 1,2,3 and cytarabine 200 mg/m2 days 1 to 7. Since 2017, 45% of patients with FLT3 mutation also received midostaurin as in the RATIFY trial [18]. A second induction was administered in patients not in CR after the first CT course who showed chemo-sensitivity. Patients with less than 50% blast reduction after first induction or without a CR after two induction courses were considered refractory. Death during induction was the event when occurred regardless of the bone marrow status. If CR was achieved, the patient received consolidation therapy with high-dose cytarabine at (HDAC) 3 g/m2/12 h IV, days 1,3,5 [19]. Genetic risk was established throughout the protocol according to the European LeukemiaNet (ELN) 2010, and 2017 criteria [20, 21]. Since 2013, we included NPM1mutation with a low FLT3-ITD allelic ratio ( < 0.5; FLT3low) into the favorable category [22, 23]. In the current report, patients have been retrospectively classified according to the ELN-2022 risk stratification, with the limitation that until 2017 Next Generation Sequencing was not available routinely, and several patients from this series who are allocated to the intermediate risk category lacked studies on dysplasia-related mutations, and TP53 mutations. In patients with favorable genetics, after the first consolidation (Cons-1) two additional HDAC courses were planned, and alloHCT in first complete remission (CR1) was avoided unless MRD persisted or reappeared. In the remaining patients, the intention was alloHCT in CR1 after Cons-1, with a second consolidation allowed when required due to transplantation delay.

Laboratory testing

Diagnostic tests were performed on bone marrow (BM) samples. Centralized molecular characterization included polymerase chain reaction studies of mutations needed to classify the leukemia into risk groups, as described in the supplementary material. Since 2017, the diagnostic workup incorporated next-generation sequencing (NGS) with a targeted panel of 42 genes. BM MRD was assessed by multiparameter flow cytometry or molecular monitoring of NPM1 transcripts (as described by Gorello et al. and reported in our group by Bataller et al. [24].), rearrangements RUNX1::RUNX1T1 and CBFB::MYH11. MFC studies were not centralized, although standard protocols were recommended to the participating laboratories.

Statistical analyses

Categoric variables were compared with Chi-square and Fisher exact tests, and the Student-T test or the Mann-Whitney method was used for numeric parameters. All tests were two-sided and considered significant if p < 0.05. Outcomes such as overall survival (OS), event-free survival (EFS), relapse, and non-leukemic death were defined per standard criteria [25]. Early leukemia relapse was AML recurrence before the intended treatment (CT or alloHCT). Survival probabilities were calculated according to the Kaplan-Meier method, and cumulative incidences were estimated considering the competing risks. Survival probabilities were compared using the log-rank test and cumulative incidences with the Gray method.

To develop a new scoring system, we performed an exploratory univariate analysis of the impact on OS of the main clinical and biological parameters at diagnosis (supplementary Table 1). We integrated those with p < 0.1 in multivariable Cox regression models. The variables that retained significance in the multivariable analysis were included in the model and were assigned integer scores of 0, 1, or 2 based on their hazard ratios, with higher scores indicating greater risk. To assess multicollinearity and verify the viability of the model, the variance inflation factor (VIF) was calculated using the vif() function in R. The discriminative power of the model was assessed using Harrell’s concordance index [26], calculated with the survConcordance function in R. To evaluate survival predictions based on MRD status or alloHCT, we included patients in CR1 at Cons-1 (second course of CT in most cases) and performed a landmark analysis censored at Cons-1 or at the time of transplantation, respectively. All statistical analyses were performed with SPSS (version 29) and R statistics version 4.4.0 (R core Team, R Foundation for Statistical Computing, Vienna, Austria).

Results

Patient characteristics

Between January 2012 and July 2022, 1054 patients were assessed, and 1034 received at least one dose of induction CT at 15 university hospitals; of them, 49% were women, the median age at diagnosis was 55 years (range 18–70). Other characteristics are described in Table 1. Patients above 60 years (from now considered the older cohort) presented a less proliferative disease (lower WBC, BM blasts, and LDH), and higher creatinine and bilirubin levels. Cytogenetic characterization was available in 95% of patients (n = 979); in the remaining 55 patients, metaphases were not optimal. According to the ELN-22 cytogenetic classification, 115 (12%) patients were favorable-risk, 657 (67%) intermediate-risk, and 207 (21%) cases had an adverse karyotype. Of the latter, 127 had a complex karyotype (CK), monosomal karyotype (MK) or both. Core binding factor (CBF) AML was two times more frequent in younger patients (14% vs. 7% for young and older groups, respectively, p < 0.001). NGS was performed in 296 patients, and the most frequently mutated genes were FLT3 (34%), NPM1 (34%), and DNMT3A (33%), followed by TET2 (16%), NRAS (14%), IDH2 (13%), and IDH1 (13%) (supplementary Fig. 1). TP53 alterations (deleted or mutated; TP53alt) were observed in 9% of cases analyzed. Patients above 60 years predominantly presented mutations in dysplasia-related genes and epigenetic regulators. Thus, the proportion of patients with either DNMT3A, TET2 or ASXL1, mutation (DTA) was 65% (71/109) in older adults vs. 42% (78/186) in younger patients (p < 0.001), and splicing mutations appeared in 22% of patients above 60 years of age in contrast to 11% of younger patients (p = 0.009). Further distribution of patients is depicted in the consort diagram (Fig. 1). According to the ELN-22 cytogenetic and molecular risk classification, 328 patients (32%) were considered favorable, while 405 (39%) were intermediate, and 301 (29%) adverse-risk with similar distribution in both age groups (p = 0.3).

Table 1 Patient characteristics in the overall cohort and in each age group (younger and older patients).
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Fig. 1: Consort diagram of the AML-12 protocol.
figure 1

Each level represents a treatment cycle. Colors refer to ELN-22 risk category (blue: favorable, yellow: intermediate and red: adverse), and within them patients are distributed according to different genetic categories and age groups (n ≤ 60 | n > 60 years). Smaller squares between cycles show n of patients who discontinued protocol and their causes. CETLAM-fav includes ELN-22 favorable genetic categories plus NPM1mut/FLT3low. AlloHCT allogeneic stem cell transplant, CR1 first complete remission, CEBPAbi CEBPAbzip.

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Induction therapy

CR was achieved in 792 (77%) of the 1034 patients. In 708 (89%) of the patients that achieved remission, only one course of induction CT was needed. A total of 124 (12%) patients were refractory, and 112 (11%) died due to complications during induction. Patients up to the age of 60 years presented a higher CR1 rate than those above that age (79% vs. 73%, respectively; p = 0.03) due to a higher induction death rate in the older cohort (8% in the young vs. 15% in the older cohort; p < 0.001). CR1 rates also differed according to genetics (Fig. 2 and supplementary Fig. 2) and ranged between 100% (17/17) in patients with biallelic CEBPA (CEBPAbi) mutation to 56% (74/132) and 33% (7/21) in patients with CK/MK/TP53alt and MECOM rearrangements (MECOMr), respectively.

Fig. 2: Induction results according to genetics in the overall AML-12 protocol (n = 1034).
figure 2

Each bar shows the percentage of patients within a genetic category (legend on the left) who achieved complete remission (green), refractory disease (yellow) or induction death (red).

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Post-remission therapy

Ninety-five percent of patients who achieved CR1 (751 out of 792) proceeded to Cons-1. The consort diagram illustrates the causes of protocol discontinuation before this point.

Death during Cons-1 occurred in 4 patients ( < 1%) and 718 (96%) patients remained in remission afterwards, whereas an early leukemia relapse was observed in 3% (7/282), 5% (13/289), and 5% (9/180) of favorable, intermediate, and adverse ELN-22 genetic risk patients respectively (p = 0.6) without significant differences among the two age groups. The outcome of patients in remission according to their ELN-22 genetic risk will be discussed next. Of note, given that our group considers NPM1mut/FLT3low patients as favorable-risk (thus not transplanted in CR1 but only in the case of a molecular relapse or in CR2), the outcome of NPM1mut/FLT3low cases will be described among the favorable category (from now CETLAM-fav) and not in the intermediate group, in all others, the ELN-22 classification was retrospectively applied.

Patients with favorable genetics

Two additional HDAC courses were feasible in 261 (68%) of the 383 initially diagnosed CETLAM-fav patients, 74% of the younger (187/252) and 57% (74/131) of the older adults (p < 0.001), and in 80% and 69% of the young and older patients in CR1 (p = 0.03).

Causes for protocol discontinuation during consolidations are described in the consort diagram. Among them, 18 patients in CR1 were bridged directly to alloHCT due to MRD positivity (n = 12), sustained aplasia (n = 3), or protocol deviation (n = 3). By the end of Cons-3, 218 (88%) of 249 patients with data available remained MRD negative and continued close monitoring [24].

Per protocol, in patients with MRD persistence after Cons-3, the intention was alloHCT in CR1. MRD positive status at this point was infrequent (n = 31, 12%), and alloHCT was performed in 17 (55%) of them.

Patients with intermediate and adverse genetics with indication of alloHCT in CR1

One-hundred seventy (49%) of the 350 initially diagnosed intermediate-risk AML and 66% of the patients in CR1 from this group completed the protocol from diagnosis to alloHCT in CR1. This procedure was performed in 71% (119/167) and 57% (51/89) of the patients in remission in the younger and older cohorts, respectively (p = 0.02). Forty-nine (21%) of 229 intermediate-risk patients in CR1 following Cons-1 did not reach alloHCT in CR1. This was mainly attributed to early leukemia relapse (41%; n = 20) or because they were considered unfit for the procedure due to CT toxicities (33%, n = 16). The latter was more frequent in the older adult cohort (n = 13) than in younger patients (n = 3).

Concerning the adverse category, 123 patients received an alloHCT in CR1. This represented 41% of the patients initially considered adverse-risk according to ELN-22 genetics and 64% of these patients in remission. When stratified by age, alloHCT in CR1 was achieved in 85 (47%) of 180 younger and 38 (31%) of 121 older adult adverse-risk patients (p = 0.006); if restricted to patients in CR1, this represented 72% (85/118) and 51% (38/75) of the young and older adults (p = 0.003). Different genetic subsets had an impact on the transplant feasibility: alloHCT was performed in CR1 in 3 (14%) of 21 MECOM-AML patients, 41 (31%) of 132 CK/MK/TP53alt cases, and 79 (53%) of 148 patients with other adverse genomic lesions (p < 0.001). Forty-six (27%) of the 170 adverse genetics patients in CR1 following Cons-1 were not transplanted in CR1; in 48% of these cases (n = 22), the reason was an early relapse, most of which happened in patients with CK/MK/TP53alt AML (50%, n = 11). Toxicities during CT precluded alloHCT in 10 cases, 7 of them older adults. Finally, 5 adverse-risk patients died during the Cons phase, and all but one belonged to the CK/MK/TP53alt category.

Time-dependent outcomes

After a median follow-up of 45 months (95%CI 40-50), the median OS of the whole cohort was 33 months, and the 4-year (4-yr) OS, cumulative incidence of relapse (CIR), and EFS were 46 ± 2%, 37 ± 3%, and 38 ± 2% respectively. Among each age group, 4-yr OS was 53 ± 2% vs 33 ± 3% for patients ≤ or > 60 years (p < 0.001, Fig. 3). Survival curves for other age subgroups are available in supplementary Fig. 3.

Fig. 3: Survival outcomes of the AML-12 overall cohort.
figure 3

Overall survival (OS) and event-free survival (EFS) are shown on the left and middle figures, respectively. In these, the overall cohort outcome is shown in black, younger patients in red and older patients in blue. The right figure shows cumulative incidence of relapse (CIR) and non-relapse mortality (NRM) of the older (blue) and younger (red) patients.

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Overall, patients ≤60 years had a lower relapse incidence; 4-yr CIR 34 ± 2% vs. 43 ± 3% for the young and older cohorts, respectively (p = 0.017), and older patients presented higher 4-yr non-leukemic death (NLD): 12 ± 2% vs 18 ± 3% in young and older adults, respectively (p = 0.024, Fig. 3).

Survival outcomes of each genetic subset and in the two age groups appear in Table 2. When stratified according to ELN-2022 classification, OS and EFS for each risk group was 68 ± 3% and 56 ± 3% in favorable patients, 41 ± 3% and 35 ± 3% for intermediate and 28 ± 3% and 24 ± 3% for the adverse-risk group, albeit with clear differences among younger and older patients (Fig. 4 and supplementary Fig. 4).

Table 2 Survival outcomes according to each genetic subset in both age groups.
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Fig. 4: Outcomes according to ELN-22 risk classification (above) and ICSA genetic groups (below).
figure 4

For the latter the favorable group includes ELN-22 favorable-risk genetics and NPM1mut/FLT3low, the very adverse group refers to CK/MK/TP53alt/MECOMr and the intermediate group contains all other patients.

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Of note, in the series reported here, the three genetic groups showing the best clinical discrimination were favorable (as in CETLAM-fav, which included favorable genetics according to ELN-2022 plus patients with NPM1mut/FLT3low), adverse (with either CK/MK/TP53alt/MECOMr), and intermediate including the remaining patients. OS and EFS in these categories at 4-years were 70 ± 3% and 57 ± 3%; 15 ± 3% and 11 ± 3%; and 38 ± 3% and 32 ± 2%, respectively, (p < 0.001 for both OS and EFS, Fig. 4).

Median OS was not reached in patients with RUNX1::RUNX1T1 or CEBPAbi, regardless of age (supplementary Fig. 5). Lower OS was observed in older adults with CBFB::MYH11 (4-yr OS 66 ± 8% vs 43 ± 13% for young and older, respectively; p = 0.016) due to the high toxic death rate in the older group (7 [50%] of 14 cases) compared to younger patients (4 [9%] out of 44 patients; p < 0.001), whereas no differences in relapse rates were found (4-yr CIR 33% vs 26% in the same groups respectively, p = 0.5). In NPM1mut/FLT3low patients, survival was high in both age groups and matched or even surpassed that of NPM1mut/FLT3wt patients. Patients older than 60 years with CETLAM-fav genetics had a remarkable 4-yr OS of 59 ± 5%, in contrast to the poor outcome of this age group in the presence of intermediate and adverse genetics (4-yr OS 23 ± 4% and 10 ± 3%, median OS of 16 and 9 months, respectively; p < 0.001). Older adults had worse survival in the presence of KMT2A rearrangements (median OS of 98 months in younger vs. 8 months in older patients p = 0.033) and in those with dysplasia-related mutations (median OS not reached vs 17 months, respectively, p = 0.009, Table 2). Finally, the survival of adverse-risk patients with either CK/MK/TP53alt/MECOMr was dismal for both age groups: 4-yr OS 18 ± 5% in younger vs 10 ± 4% in older adults (p = 0.2, median OS of 9 months for both groups). Further outcomes regarding EFS are shown in supplementary Fig. 5.

MRD

MRD data were available in 629 (88%) of 718 patients in CR1 following Cons-1. MRDneg status was achieved in 459 evaluable patients (73%), with no differences in rates of MRDneg in each age group (MRDneg in 314 (75%) patients ≤60 yrs and 145 (69%) in >60 years, p = 0.15). In the landmark analysis, MRDneg status was associated with improved OS compared to MRDpos patients (4-yr OS 64 ± 3% vs. 53 ± 4% in MRDneg and MRDpos; p = 0.015). MRDneg patients also presented with higher EFS (4-yr EFS 55 ± 3% vs. 48 ± 4%, p = 0.039) and lower CIR (4-yr CIR 32 ± 2% vs. 40 ± 2% for the same groups respectively, p = 0.029; supplementary Fig. 6).

Outcomes of alloHCT in CR1 for intermediate and adverse-risk patients

Among 293 non-favorable patients transplanted after consolidation as per protocol, 70% were ≤60 years old, and 30% were older adults (supplementary Table 2). Non-relapse mortality at 100 days, 6 months, and 1 year from transplant was 3%, 9%, and 14% in patients ≤ 60 years and 5%, 14%, and 15% in those >60 years (p = 0.3). There were no differences in outcome after alloHCT for intermediate risk-patients depending on age with a 4-yr OS from transplant of 58 ± 5% and 49 ± 8% in young and older groups, respectively (p = 0.1). Older adults with ELN2022 adverse genetics had a 4 yr OS from transplant of 34 ± 8%, compared to younger adults who presented 4-yr OS of 48 ± 6%, respectively (p = 0.06). In the most adverse subgroup (CK/MK/TP53alt/MECOMr), 4-yr OS from transplant was dismal regardless of age, in younger patients was 20 ± 8 (with identical 4-yr EFS) and older adults presented 4-yr OS and EFS of 18 ± 9%.

Prognostic factors and ICSA risk score

The variables that retained an independent prognostic impact in the multivariable analysis for OS were age ( ≤ 60 vs. >60 years), gender (female/male), ECOG (0–2, ≥3), WBC counts ( ≤ 20, 21-99, >99×109/L), increased creatinine ( > 1,2 mg/dL), bilirubin above average ( > 1.2 mg/dL), and genetic category (CETLAM-fav, CK/MK/TP53alt/MECOMr, other). Multicollinearity among these variables was minimal according to VIF values (range 1.05-2.11) hence they were integrated into a scoring system (ICSA: Intensive Chemotherapy Score for AML, Fig. 5). Each patient’s total score was calculated (range 0–9) and, based on their survival impact, six risk groups were defined: very low (0 points), low (1 points), intermediate-low (2 points), intermediate-high (3 points), high (4–5 points), and very high (6–9 points). The C-index for the model was 0.71, and the 4-yr OS for each risk category was 85 ± 6%, 70 ± 4%, 55 ± 4%, 36 ± 4%, 18 ± 4%, and 0%, respectively (p < 0.001). Regarding EFS, the score identified five groups since very-low and low categories had comparable outcomes. Of note, we confirmed that the score discriminated survival risk groups equally well for younger and older patients separately, and also that the ICSA risk groups correlated with induction results: very low risk patients had CR1 rates of 100% (46 out of 46 patients), that progressively decreased in each risk category. Similarly, the number of refractory patients and induction deaths ascended progressively as the patient risk increased (supplementary material).

Fig. 5: Multivariate cox-regression and ICSA score.
figure 5

WBC white blood cells, CK complex karyotype, MK monosomal karyotype.

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Finally, this model was validated using an external retrospective cohort of 581 AML patients treated intensively within a previous CETLAM protocol (AML-03, NCT01723657). Patient characteristics from this series are available in supplementary Table 3; limited molecular analyses were available, and patients were mostly risk-stratified by cytogenetics, NPM1, and FLT3 mutations. In the validation cohort, ICSA segregated patients in 5 risk groups both for OS (4-yr OS in each risk category of 75%, 67%, 37%, 32%, 21%, and 0%; p < 0.001) and for EFS (p < 0.001; Fig. 6) and the model yielded a C-index of 0.66.

Fig. 6: OS and EFS of the validation cohort according to the ICSA score.
figure 6

The table shows for each ICSA risk group the distribution of patients, the OS and the c-index for both the model-building cohort (AML-12 protocol) and the validation cohort (AML-03 protocol).

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Discussion

Intensive CT, followed when possible by alloHCT, has remained the treatment of choice for adult AML in fit patients for more than 45 years. Recently, it has been demonstrated that specific subsets of patients benefit from the addition to CT of FLT3 inhibitors [18, 27], conjugated monoclonal antibodies [28], or the use of novel forms of chemotherapy delivery [29]. Retrospective studies and ongoing trials are exploring BCL2 inhibitors to further improve the results of intensive CT [15,16,17, 30, 31]. The field of alloHCT has also evolved with the increased availability of donors, stem cell sources and technique refinements improving their results.

It is known that intensive therapy for AML leads to toxicity, requires prolonged hospitalization and a meaningful proportion of patients will die due to therapy-related complications. Treatment efficacy varies broadly, mainly depending on the patient’s age and genetic characteristics of the AML cells [32]. The study results reported here reflect the heterogeneity of fit patients with AML and how clinical and biological features impact on the outcome. Also, the current report shows in an extensive series over 10 years that the treatment plan is not always feasible, primarily due to toxicities, early leukemia recurrence, or even protocol deviations in real life. We also observed that a high proportion of patients with favorable features may be cured with CT only, without the need for an alloHCT. We, similarly to other groups [33,34,35,36], confirmed that MRD persistence after CT leads to increased relapse incidence and worse survival even when MRD assessment was not centralized. Since data on MRD just before alloHCT was unavailable, we could not analyze the impact of this feature on post-transplant outcomes.

Chronological age strongly impacted CR achievement, relapse, survival, and EFS. Sixty years is the most frequent cut-off for considering patients as “older fit” due to their higher prevalence of adverse-risk genetics, increased comorbidities and overall worse outcome to standard chemotherapy [3, 10]. In our cohort, patients under 60 years achieved a remarkable CR rate of 79%; only 8% died during induction, and their 4-year OS was 53%; in contrast, the values in the older adult group were 73%, 15%, and 33%, respectively. Hence, although all patients were initially considered fit, the likelihood of long-term survival for older adults was compromised in our series due to more frequent death during consolidation, early relapses, and less feasibility of allogeneic transplantation. Therefore, alternative approaches are needed to overcome these drawbacks.

Genetics of AML also had an evident influence on outcome. Our report provides a detailed description of response and evolution depending on genetic characterization at diagnosis and is shown in Table 2 and Figs. 1 and 2 and the additional material in the supplement; it is remarkable that patients with favorable genetics according to ELN-2022 had very low chemoresistance (less than 6%). In contrast, patients with AML and MECOMr or TP53alt, even in the absence of monosomal or complex karyotype, had low CR rates, which emphasizes that investigational approaches for first-line treatment are needed in this poor-risk population. One limitation of our study is that only 37% (378/1034) of patients had molecular TP53 testing. However, 73% of the 656 cases with unknown TP53 mutational status were genetically classified with either karyotype or ELN-22 risk mutations which allowed for 77% of the whole cohort to be comprehensively stratified.

Our report validated in a larger cohort of patients a previous observation made by our group [23] that the best prognostic discrimination in newly diagnosed AML appeared when grouping genetics as CETLAM-fav, very adverse as in CK/MK/TP53alt/MECOMr, and other genetics regardless of belonging to the intermediate or adverse ELN-2022. The 4-yr OS in these three groups was 70%, 15%, and 38%, respectively. Regarding the favorable genetics category, the results were very good in the whole cohort, including patients with NPM1 mutation and low allelic ratio of FLT3-ITD [37]. Remarkably, older adults with favorable genetics had a 4-year OS around 60%, supporting intensive CT in favorable patients up to the age of 70. In concordance with other groups, a dismal outcome was observed in patients with CK/MK/TP53alt/MECOMr [38,39,40,41,42,43]. In contrast to other reports, we were able to extensively compile causes that precluded alloHCT, mostly low CR rate, frequent early relapse, and treatment-related toxicities. For the time being, alloHCT remains the only option, supported by the fact that in our report, 44% of younger ELN-22 adverse-risk transplanted patients remained event-free at 4 years, albeit 4-yr EFS from transplant was only 20% in the younger most adverse subset (CK/MK/TP53alt/MECOMr). In-depth discussion with patients is recommended before performing alloHCT in this situation, and novel strategies are, therefore, needed in these very adverse patients.

Clinical status and laboratory findings at diagnosis impacted survival in the univariate and multivariate analyses; ECOG > 2, high leukocyte counts, creatinine and/or bilirubin above the normal value were associated with worse survival. Females had better outcomes than males due to less mortality and relapses; in fact, adverse clinical features such as age >60 years, elevated creatinine and/or bilirubin, and adverse genetics were more frequent in males (data not shown). The influence of gender on the results of treatment for AML has also been reported in other series [44, 45] and a recent report suggests that there may be sex-specific cell programs influencing leukemogenesis and leukemic cell responses [46].

Based on these baseline characteristics, it was possible to establish a score that defined risk groups regarding induction response, OS and EFS and was validated in an independent cohort. Although other scores have been described in AML, most of them focus on comorbidities to define fitness and estimate the mortality related to induction chemotherapy [9, 11, 47] but lack prediction on OS and EFS [48, 49]. Others are exclusively for older patients ( > 70 years) [50] or predict survival once CR1 is achieved [51]. In this regard, a recent score for patients above 60 years eligible for intensive CT has been developed which segregates patients into 4 risk groups according to genetics (AML60 + ) and improved the ELN-22 stratification in older patients [52]. In our cohort, the AML60+ score segregated patients >60 years into three risk groups, possibly because median age of this group was younger compared to the study by Versluis, and the proportion of adverse-risk cases was lower. Similarly to our study, MK and TP53mut conferred patients the highest risk and worse outcome independently of age (supplementary material).

ICSA applies to the adult population most frequently susceptible to receive intensive chemotherapy (18–70 years), it is easy to calculate, and gives simultaneous information of response rate, OS and EFS based on clinical and genetic diagnostic features, therefore orienting clinicians on which route of treatment to consider at initial diagnosis. Overall, the ICSA score identifies patients with a high likelihood of being cured with an intensive approach (CT +/- alloHCT) and, in contrast, others that despite being initially considered “fit for IC”, alternative strategies of treatment deserve investigation.

In summary, in a cohort of more than 1000 patients with AML receiving a homogeneous CT protocol, we identified a considerable proportion of patients with favorable outcomes who do not need an alloHCT in CR1. In contrast, there is another group of patients harboring very adverse genetic features with low CR rates, frequent chemoresistance, and early relapses in which transplantation was frequently not feasible where investigational approaches are needed. In between, a large proportion of patients benefit from an alloHCT that, in our hands, was performed in around 70% of patients that achieved remission. We observed that results were different depending on age, with poorer prognosis with CT in patients above 60 years of age. In this group, CT vs. less intensive treatment as the combination of venetoclax and hypomethylating agents deserves investigation in prospective randomized studies. Finally, a reproducible and simple scoring system was developed to predict survival based on the patient baseline characteristics, which may be useful in informing patients and supporting treatment decisions.

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With increasing incidence and geography, cancer is one of the leading causes of death, reduced quality of life and disability worldwide. Principal progress in the development of new anticancer therapies, in improving the efficiency of immunotherapeutic tools, and in the personification of conventional therapies needs to consider cancer-specific and patient-specific programming of innate immunity. Intratumoral TAMs and their precursors, resident macrophages and monocytes, are principal regulators of tumor progression and therapy resistance. Our review summarizes the accumulated evidence for the subpopulations of TAMs and their increasing number of biomarkers, indicating their predictive value for the clinical parameters of carcinogenesis and therapy resistance, with a focus on solid cancers of non-infectious etiology. We present the state-of-the-art knowledge about the tumor-supporting functions of TAMs at all stages of tumor progression and highlight biomarkers, recently identified by single-cell and spatial analytical methods, that discriminate between tumor-promoting and tumor-inhibiting TAMs, where both subtypes express a combination of prototype M1 and M2 genes. Our review focuses on novel mechanisms involved in the crosstalk among epigenetic, signaling, transcriptional and metabolic pathways in TAMs. Particular attention has been given to the recently identified link between cancer cell metabolism and the epigenetic programming of TAMs by histone lactylation, which can be responsible for the unlimited protumoral programming of TAMs. Finally, we explain how TAMs interfere with currently used anticancer therapeutics and summarize the most advanced data from clinical trials, which we divide into four categories: inhibition of TAM survival and differentiation, inhibition of monocyte/TAM recruitment into tumors, functional reprogramming of TAMs, and genetic enhancement of macrophages.

Iron homeostasis and ferroptosis in muscle diseases and disorders: mechanisms and therapeutic prospects

The muscular system plays a critical role in the human body by governing skeletal movement, cardiovascular function, and the activities of digestive organs. Additionally, muscle tissues serve an endocrine function by secreting myogenic cytokines, thereby regulating metabolism throughout the entire body. Maintaining muscle function requires iron homeostasis. Recent studies suggest that disruptions in iron metabolism and ferroptosis, a form of iron-dependent cell death, are essential contributors to the progression of a wide range of muscle diseases and disorders, including sarcopenia, cardiomyopathy, and amyotrophic lateral sclerosis. Thus, a comprehensive overview of the mechanisms regulating iron metabolism and ferroptosis in these conditions is crucial for identifying potential therapeutic targets and developing new strategies for disease treatment and/or prevention. This review aims to summarize recent advances in understanding the molecular mechanisms underlying ferroptosis in the context of muscle injury, as well as associated muscle diseases and disorders. Moreover, we discuss potential targets within the ferroptosis pathway and possible strategies for managing muscle disorders. Finally, we shed new light on current limitations and future prospects for therapeutic interventions targeting ferroptosis.

Type 2 immunity in allergic diseases

Significant advancements have been made in understanding the cellular and molecular mechanisms of type 2 immunity in allergic diseases such as asthma, allergic rhinitis, chronic rhinosinusitis, eosinophilic esophagitis (EoE), food and drug allergies, and atopic dermatitis (AD). Type 2 immunity has evolved to protect against parasitic diseases and toxins, plays a role in the expulsion of parasites and larvae from inner tissues to the lumen and outside the body, maintains microbe-rich skin and mucosal epithelial barriers and counterbalances the type 1 immune response and its destructive effects. During the development of a type 2 immune response, an innate immune response initiates starting from epithelial cells and innate lymphoid cells (ILCs), including dendritic cells and macrophages, and translates to adaptive T and B-cell immunity, particularly IgE antibody production. Eosinophils, mast cells and basophils have effects on effector functions. Cytokines from ILC2s and CD4+ helper type 2 (Th2) cells, CD8 + T cells, and NK-T cells, along with myeloid cells, including IL-4, IL-5, IL-9, and IL-13, initiate and sustain allergic inflammation via T cell cells, eosinophils, and ILC2s; promote IgE class switching; and open the epithelial barrier. Epithelial cell activation, alarmin release and barrier dysfunction are key in the development of not only allergic diseases but also many other systemic diseases. Recent biologics targeting the pathways and effector functions of IL4/IL13, IL-5, and IgE have shown promising results for almost all ages, although some patients with severe allergic diseases do not respond to these therapies, highlighting the unmet need for a more detailed and personalized approach.

Integrated proteogenomic characterization of ampullary adenocarcinoma

Ampullary adenocarcinoma (AMPAC) is a rare and heterogeneous malignancy. Here we performed a comprehensive proteogenomic analysis of 198 samples from Chinese AMPAC patients and duodenum patients. Genomic data illustrate that 4q loss causes fatty acid accumulation and cell proliferation. Proteomic analysis has revealed three distinct clusters (C-FAM, C-AD, C-CC), among which the most aggressive cluster, C-AD, is associated with the poorest prognosis and is characterized by focal adhesion. Immune clustering identifies three immune clusters and reveals that immune cluster M1 (macrophage infiltration cluster) and M3 (DC cell infiltration cluster), which exhibit a higher immune score compared to cluster M2 (CD4+ T-cell infiltration cluster), are associated with a poor prognosis due to the potential secretion of IL-6 by tumor cells and its consequential influence. This study provides a comprehensive proteogenomic analysis for seeking for better understanding and potential treatment of AMPAC.

The 2023 EBMT report on hematopoietic cell transplantation and cellular therapies. Increased use of allogeneic HCT for myeloid malignancies and of CAR-T at the expense of autologous HCT

In 2023, 47,731 HCT (20,485 (42.9%) allogeneic and 27,246 (57.1%) autologous) in 43,902 patients were reported by 696 European centers. 6042 patients received advanced cellular therapies, 4888 of which were CAR-T. Compared to the previous year there was an increase in CAR-T (+52.5%), in allogeneic HCT (+7.8%) but none in autologous HCT (+0.4%). Main indications for allogeneic HCT were myeloid (11,748; 60.7%), lymphoid malignancies (4,850; 25.0%), and non-malignant disorders (2558; 13.2%). Use of allogeneic HCT increased for AML (+12.1%) and for NHL (+11.0%), particularly in T-NHL (+25.6%). Main indications for autologous HCT were lymphomas (7890; 32.2%), PCD (14,271; 58.2%), and solid tumors (1608; 6.6%) with recovering numbers for autoimmune diseases. In patients with allogeneic HCT, the use of sibling donors increased by +1.0%, haploidentical donors by +11.7%, and unrelated donors by +11.1%. Cord blood HCT decreased again by −5.4%. Pediatric HCT activity increased slightly (5455; +0.1%) with differences between allogeneic (4111; −0.5%) and autologous HCT (1344: +1.7%). Use of CAR-T increased to a cumulative total of 13,927 patients including patients treated for autoimmune diseases. Overall, numbers show a complete recovery from the pandemic dip with increased cellular therapy at the expense of autologous HCT. Allogeneic HCT activity focuses on myeloid malignancies.

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