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Previous studies have demonstrated that splicing factor mutations are recurrent events in hematopoietic malignancies. Their clinical characteristics and aberrant splicing patterns have been explored in myelodysplasia, however, their functional consequences in acute myeloid leukaemia are largely unknown. The aim of this study was the comprehensive clinical and functional analysis of mutations in the three most commonly afflicted splicing factor genes: SRSF2 , U2AF1 and SF3B1 . To this end, we examined the prognostic role of splicing factor mutations in two large independent cohorts, encompassing a total of 2678 acute myeloid leukaemia patients treated with intensive chemotherapy. The clinical analysis was complemented by RNA-sequencing of 246 patients to identify targets of splicing dysregulation. Results were validated in an additional RNA-sequencing dataset of 177 patients. Patients with splicing factor mutations show inferior relapse-free and overall survival, however, these mutations do not represent independent prognostic markers. Differential isoform expression analysis revealed a characteristic expression profile for each splicing factor mutation with a strong dysregulation of several isoforms. Furthermore, by establishing a custom differential splice junction usage pipeline we accurately detected aberrant splicing in splicing factor mutated samples. Mutated samples were characterized by predominantly decreased splice junction utilization of a large number of genes. A large proportion of differentially used spliced junctions were novel. Targets of splicing dysregulation included several genes with a known role in acute myeloid leukaemia. In SRSF2 (P95H) mutants we further explored the possibility of a cascading effect through the dysregulation of the splicing pathway. Taken together, our findings suggest that splicing factor mutations does not represent independent prognostic markers. However, they do have genome-wide consequences on gene splicing leading to dysregulated isoform expression of several genes.

The fusion genes CBFB/MYH11 and RUNX1/RUNX1T1 block differentiation through disruption of the core binding factor (CBF) complex and are found in 10–15% of adult de novo acute myeloid leukemia (AML) cases. This AML subtype is associated with a favorable prognosis; however, nearly half of CBF-rearranged patients cannot be cured with chemotherapy. This divergent outcome might be due to additional mutations, whose spectrum and prognostic relevance remains hardly defined. Here, we identify nonsilent mutations, which may collaborate with CBF-rearrangements during leukemogenesis by targeted sequencing of 129 genes in 292 adult CBF leukemia patients, and thus provide a comprehensive overview of the mutational spectrum (‘mutatome’) in CBF leukemia. Thereby, we detected fundamental differences between CBFB/MYH11- and RUNX1/RUNX1T1-rearranged patients with ASXL2, JAK2, JAK3, RAD21, TET2, and ZBTB7A being strongly correlated with the latter subgroup. We found prognostic relevance of mutations in genes previously known to be AML-associated such as KIT, SMC1A, and DHX15 and identified novel, recurrent mutations in NFE2 (3%), MN1 (4%), HERC1 (3%), and ZFHX4 (5%). Furthermore, age >60 years, nonprimary AML and loss of the Y-chromosomes are important predictors of survival. These findings are important for refinement of treatment stratification and development of targeted therapy approaches in CBF leukemia.

The revised 2017 European LeukemiaNet (ELN) recommendations for genetic risk stratification of acute myeloid leukemia have been widely adopted, but have not yet been validated in large cohorts of AML patients. We studied 1116 newly diagnosed AML patients (age range, 18–86 years) who had received induction chemotherapy. Among 771 patients not selected by genetics, the ELN-2017 classification re-assigned 26.5% of patients into a more favorable or, more commonly, a more adverse-risk group compared with the ELN-2010 recommendations. Forty percent of the cohort, and 51% of patients ≥60 years, were classified as adverse-risk by ELN-2017. In 599 patients CEBPA mutations or inv(16) had particularly favorable outcomes, while patients with mutated TP53 and a complex karyotype had especially poor prognosis. DNMT3A mutations associated with inferior OS within each ELN-2017 risk group. Our results validate the prognostic significance of the revised ELN-2017 risk classification in AML patients receiving induction chemotherapy across a broad age range. Further refinement of the ELN-2017 risk classification is possible.

A cute myeloid leukemia is a disease of the elderly (median age at diagnosis, 65–70 years). The prognosis of older acute myeloid leukemia patients is generally poor. While genetic markers have become important tools for risk stratification and treatment selection in young and middle-aged patients, their applicability in very old patients is less clear. We sought to validate existing genetic risk classification systems and identify additional factors associated with outcomes in intensively treated patients aged ≥75 years. In 151 patients who received induction chemotherapy in the AMLCG-1999 trial, we investigated recurrently mutated genes using a targeted sequencing assay covering 64 genes. The median number of mutated genes per patient was four. The most commonly mutated genes were TET2 (42%), DNMT3A (35%), NPM1 (32%), SRSF2 (25%) and ASXL1 (21%). The complete remission rate was 44% and the 3-year survival was 21% for the entire cohort. While adverse-risk cytogenetics (MRC classification) were associated with shorter overall survival (P=0.001), NPM1 and FLT3-ITD mutations (present in 18%) did not have a significant impact on overall survival. Notably, none of the 13 IDH1-mutated patients (9%) reached complete remission. Consequently, the overall survival of this subgroup was significantly shorter than that of IDH1-wildtype patients (P

Primary therapy resistance is a major problem in acute myeloid leukemia treatment. We set out to develop a powerful and robust predictor for therapy resistance for intensively treated adult patients. We used two large gene expression data sets (n=856) to develop a predictor of therapy resistance, which was validated in an independent cohort analyzed by RNA sequencing (n=250). In addition to gene expression markers, standard clinical and laboratory variables as well as the mutation status of 68 genes were considered during construction of the model. The final predictor (PS29MRC) consisted of 29 gene expression markers and a cytogenetic risk classification. A continuous predictor is calculated as a weighted linear sum of the individual variables. In addition, a cut off was defined to divide patients into a high-risk and a low-risk group for resistant disease. PS29MRC was highly significant in the validation set, both as a continuous score (OR=2.39, P=8.63·10−9, AUC=0.76) and as a dichotomous classifier (OR=8.03, P=4.29·10−9); accuracy was 77%. In multivariable models, only TP53 mutation, age and PS29MRC (continuous: OR=1.75, P=0.0011; dichotomous: OR=4.44, P=0.00021) were left as significant variables. PS29MRC dominated all models when compared with currently used predictors, and also predicted overall survival independently of established markers. When integrated into the European LeukemiaNet (ELN) 2017 genetic risk stratification, four groups (median survival of 8, 18, 41 months, and not reached) could be defined (P=4.01·10−10). PS29MRC will make it possible to design trials which stratify induction treatment according to the probability of response, and refines the ELN 2017 classification.

Introduction An increasing proportion of patients with Acute Myeloid Leukemia (AML) become long-term survivors. Somatic and psycho-social outcomes are therefore becoming increasingly important, but little is known about the long-term effects of the disease and its treatment. Methods We designed a comprehensive analysis of AML survivorship outcomes including psycho-social well-being and somatic health status and conducted a questionnaire-based study collecting data from AML long term survivors (AML-LTS) and their physicians. This report focuses on overall and health-related quality of life. Somatic, especially cardiovascular, morbidity in AML-LTS are reported separately (Moret et al.). The primary aim of this study was to compare quality of life (QoL, measured by the FACT-G questionnaire) and general and health-related life satisfaction (gLS/hLS, measured by the FLZ-M questionnaire) of AML-LTS with normative data of German adults who were not diagnosed with AML (Holzner et al. 2009; Daig et al. 2009). FLZ-M and FACT-G scores were standardized relative to the normal population mean and standard deviation, stratified by sex and age. These z-scores were then tested against the fixed value 0 (indicating no difference between AML-LTS and the general population) using Mann-Whitney U-tests. Our statistical design incorporated a sequentially rejective testing procedure to maintain the multiple testing significance level at 5%, using a graphical model as described by Bretz et al. (2009). Results 427 former AML patients who had been enrolled in AMLCG trials (AMLCG-1999, AMLCG-2004, AMLCG-2008) or the AMLCG patient registry, participated in this study between 5 and 18.6 years [y] after their initial AML diagnosis (median, 11.3y). Median age of AML-LTS was 61y (range 28y-93y), and 56% were female. Thirty-eight percent of participants had been treated with chemotherapy alone, while 62% received at least one allogeneic stem cell transplant (alloSCT). A relapse occurred in 24% of the participants. Unexpectedly, quality of life and general life satisfaction summary scores were significantly higher in AML-LTS (p Notably, a subgroup of participants (26%) reported poor physical well-being (PWB), indicated by a FACT PWB subscore more than one standard deviation (SD) below the age- and sex-matched general population value (Figure A). This resulted in poor overall QoL (i.e. >1 SD below normal) for 13% of the participants (Figure B). To identify factors potentially associated with poor overall QoL, we constructed a logistic regression model including pre-specified cofactors (age, sex, time since initial diagnosis, relapse and alloSCT) and additional covariables that associated with QoL in univariate analyses (Table C). We found that participants with younger age, male sex, lower educational level, shorter time since diagnosis and a altered financial situation reported significantly lower QoL. No influence was found for other characteristics including treatment (alloSCT vs. no alloSCT), previous relapse, or de novo vs. secondary or therapy-related AML. Discussion Unlike previous studies of AML survivorship, our large cohort included a diverse spectrum of patients regarding age, time since diagnosis, and treatment modalities, which allows for new insight into long-term quality of life. Our study establishes that overall QoL in AML long-term survivors is comparable to the general population. Improvement of QoL continues beyond five years post diagnosis. Importantly, disease- and treatment-related factors, such as prior relapse or status post allogeneic transplantation, are not associated with overall QoL. However, we were able to identify risk factors for worse QoL (younger age, male sex, alteration of the financial situation), delineating a subgroup of patients that may still have a need for targeted psycho-social interventions five or more years after an AML diagnosis. Figure 1 Figure 1. Disclosures Berdel: Philogen S.p.A.: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hiddemann: Janssen: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Metzeler: AbbVie: Honoraria; Astellas: Honoraria; Daiichi Sankyo: Honoraria; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy; Pfizer: Consultancy; Celgene/BMS: Consultancy, Honoraria, Research Funding.

Introduction: As outcomes of patients with acute myeloid leukemia (AML) have improved over the past decades, the fraction of patients surviving long-term is increasing. Information on long-term somatic and psycho-social health consequences of AML and its treatment is sparse. Previous studies suggested a higher prevalence of cardiovascular diseases in AML survivors, especially those treated with allogeneic stem cell transplantation (alloHSCT). The aim of our study was to perform a multi-dimensional analysis of health outcomes in AML long-term survivors (AML-LTS). This report focuses on somatic, especially cardiovascular, morbidity in AML-LTS. Overall and health-related quality of life are reported separately (Telzerow et al.). Methods: We conducted a cross-sectional study including AML survivors who had been enrolled in clinical trials or the patient registry of the AML-CG study group and were alive ≥5 years after initial diagnosis. Data concerning somatic health status were collected through patient questionnaires, assessment by the patients' physicians, and medical and laboratory reports. An age- and sex-matched control cohort was derived from German population-based health surveys (Robert Koch Institute, DEGS1 survey; n=6013; persons diagnosed with leukemia [n=11] were excluded). Results: 427 AML-LTS, aged 28 to 93 years, participated in this study. Data on somatic health status is available for 355 survivors, 5 to 19 years after their AML diagnosis. Thirty-eight percent of survivors were treated with chemotherapy with or without an autologous transplant (autoHSCT), whereas 62% had undergone alloHSCT. Focusing on cardiovascular diseases and risk factors, we found that that 49% of AML-LTS had hypertension, 33% had hypercholesterolemia, 15% had type 1/2 diabetes, 10% had congestive heart failure (CHF), and 9% had coronary artery disease (Figure A). The mean body-mass index (BMI) of AML-LTS was 26.7, similar to the DEGS1 cohort (mean BMI, 26.8). Next, we compared the prevalence of cardiovascular diseases and risk factors between AML-LTS and the general German population (represented by the DEGS1 sample), using multivariate models adjusting for age and sex (Table B). Compared to persons not diagnosed with leukemia, AML survivors had similar risks of hypertension, coronary heart disease and myocardial infarction. Prevalence of diagnosed hypercholesterolemia was higher in AML-LTS compared to non-AML controls. In addition, AML-LTS had a 2-fold higher risk of having type 1/2 diabetes, and a 3.5-fold increased risk of CHF compared to the general population. To identify factors associated with the increased risks of diabetes and CHF among AML-LTS, we constructed multivariate models incorporating patient- and treatment related covariables (age, sex, BMI, smoking, prior AML relapse, treatment [chemotherapy + autoHSCT vs. alloHSCT], and type of leukemia [de novo versus secondary / therapy-related]). We found an increased risk of CHF for AML-LTS who had had a relapse (OR, 3.16; 95% CI: 1.46 - 6.83; P=0.004) and, in trend, for patients with sAML or tAML (OR 2.19; 95%CI: 0.92 - 5.22, P=0.076). In addition, we found an increased risk of type 1/2 diabetes for AML-LTS who are smokers (OR: 3.43; 95% CI: 1.43 - 8.21; p: 0.006). Disease- or treatment-related factors did not significantly associate with any of the other comorbidities we studied. Conclusion: To the best of our knowledge, this is the largest analysis of somatic health outcomes in AML-LTS. Strengths of our study include the relatively large cohort representing a wide age range, the long follow-up period of 5 to nearly 20 years, and the heterogeneity regarding therapy regimens (chemotherapy + autoHSCT vs. alloHSCT). We found that, compared to the general population, AML-LTS have increased risks for CHF and diabetes, but not for hypertension or coronary artery disease. We identified AML relapse as a risk factor for the development of CHF, suggesting that cumulative chemotherapy exposure might be causally involved. On the other hand, we found no treatment- and disease-related risk factors that might explain the higher prevalence of diabetes in AML-LTS. Notably, AML-LTS who had undergone alloHSCT did not have increased risks of CHF, cardiovascular disease, hypertension or diabetes, compared to survivors treated with chemotherapy only. Our results may guide future recommendations for follow-up and inform personalized treatment decisions. Figure 1 Figure 1. Disclosures Berdel: Philogen S.p.A.: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hiddemann: Janssen: Research Funding; F. Hoffmann-La Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Metzeler: Jazz Pharmaceuticals: Consultancy; Novartis: Consultancy; AbbVie: Honoraria; Celgene/BMS: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Honoraria; Pfizer: Consultancy; Astellas: Honoraria.

Background: AML is a disease affecting predominantly older patients (pts), but does occur across the entire age spectrum; younger adults [age Methods: We analyzed the molecular profiles of 2,823 adult AML pts enrolled onto clinical frontline protocols of 2 large cooperative study groups from 2 continents [US, Cancer and Leukemia Group B (CALGB)/Alliance for Clinical Trials in Oncology (Alliance), n=1743; Germany, AML Cooperative Group [AMLCG], n=1080] between 1986 and 2016. Treatment of all pts included intensive induction therapy, whereas pts enrolled on CALGB/Alliance protocols precluded allogeneic transplantation in 1 st complete remission. Pts in both cohorts were profiled for molecular features via targeted sequencing platforms. Frequencies of mutations genes and selected cytogenetic findings were then calculated in both datasets for the group of pts aged 18-24 y and for older pts by 5-year intervals until the age of 74 y and for pts older than 75 y. We also analyzed survival outcomes of 1,669 AML pts younger than 60 y using the same age intervals up to age 59 y. Results: Our side-by-side analysis shows remarkable congruence of results between German and US pt populations. Selected AML-associated gene mutations (mutation frequency ≥4%) and recurrent cytogenetic abnormalities followed 3 basic distribution patterns across the age spectrum (Fig. 1A): group 1 with increasing frequency with increasing age [ASXL1, BCOR, IDH1/2, RUNX1, SRSF2, TET2, TP53; complex karyotype and cytogenetically normal AML (CN-AML)]; group 2 with decreasing frequency with increasing age (CEBPA, EZH2, FLT3-TKD, GATA2, KIT, KRAS, PTPN11, NRAS, WT1; inv(16), t(8;21) and 11q23/KMT2A rearrangements) and group 3 with non-linear frequency distribution, which included the 3 most common AML-associated gene mutations (NPM1, DNMT3A, FLT3-ITD), SF3B1 and mutations in the cohesin complex genes (RAD21, SMC1A, SMC3, STAG2) (Fig. 1A). Notably, within the first 2 distribution groups, there seem to be no obvious age that could serve as a cut point separating age groups that are markedly different with regard to their molecular patterns. Particularly, this includes an age group that is commonly used for pt cohort definitions such as pts aged 18-39 y referred to as adolescent and young adults (AYA) or even treatment decisions and eligibility (eg, ages 60 or 65 and older for consideration as elderly AML). With respect to pt outcomes, expectedly, there was almost linear shortening of overall survival (OS) as age increased (p Conclusions: To our knowledge, this is the first large scale depiction of mutational patterns in AML inclusive of the entire adult age spectrum. Our international study demonstrates that patterns of individual mutations based on age are remarkably consistent between countries, and defy assortment based on typical age conventions. Given the continuous distribution of either increasing or decreasing frequency of many mutations, there are distinctly different mutational profiles for the youngest pts compared with older pts, however choosing a precise cut-off, such as age 39 for AYA pts or 59 for consideration as "younger AML", does not seem to be supported by our analyses. This observation supports a more personalized approach that also considers molecular subgroups in clinical practice instead of the age rigidity set in many clinical trials. *shared first: M.C.,K.L.; #last: T.H.,AK.E. Figure 1 Figure 1. Disclosures Berdel: Philogen S.p.A.: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hiddemann: F. Hoffmann-La Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding. Blachly: KITE: Consultancy, Honoraria; INNATE: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; AstraZeneca: Consultancy, Honoraria. Mims: Glycomemetics: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Aptevo: Research Funding; Leukemia and Lymphoma Society's Beat AML clinical study: Consultancy, Research Funding; Xencor: Research Funding; Kartos Pharmaceuticals: Research Funding; Genentech: Consultancy; Abbvie: Consultancy; BMS: Consultancy; Kura Oncology: Consultancy; Syndax Pharmaceuticals: Consultancy; BMS: Consultancy; Jazz Pharmaceuticals: Consultancy; Aptevo: Research Funding. Walker: Karyopharm Therapeutics: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Blum: Celyad Oncology: Research Funding; Forma Therapeutics: Research Funding; Xencor: Research Funding; Nkarta: Research Funding; Leukemia and Lymphoma Society: Research Funding; Abbvie: Honoraria; AmerisourceBergen: Honoraria; Syndax: Honoraria. Larson: Epizyme: Consultancy; Astellas: Consultancy, Research Funding; Gilead: Research Funding; CVS/Caremark: Consultancy; Takeda: Research Funding; Novartis: Research Funding; Rafael Pharmaceuticals: Research Funding; Cellectis: Research Funding. Stone: Syntrix/ACI: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees; BerGen Bio: Membership on an entity's Board of Directors or advisory committees; Actinium: Membership on an entity's Board of Directors or advisory committees; Elevate Bio: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; Onconova: Consultancy; Jazz: Consultancy; Janssen: Consultancy; Innate: Consultancy; GlaxoSmithKline: Consultancy; Gemoab: Membership on an entity's Board of Directors or advisory committees; Foghorn Therapeutics: Consultancy; Boston Pharmaceuticals: Consultancy; Bristol Myers Squibb: Consultancy; AbbVie: Consultancy; Arog: Consultancy, Research Funding; Aprea: Consultancy; Amgen: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Agios: Consultancy, Research Funding; Celgene: Consultancy; Macrogenics: Consultancy. Byrd: Vincerx Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Novartis, Trillium, Astellas, AstraZeneca, Pharmacyclics, Syndax: Consultancy, Honoraria; Newave: Membership on an entity's Board of Directors or advisory committees. Metzeler: Jazz Pharmaceuticals: Consultancy; Novartis: Consultancy; Daiichi Sankyo: Honoraria; Astellas: Honoraria; AbbVie: Honoraria; Pfizer: Consultancy; Celgene/BMS: Consultancy, Honoraria, Research Funding. Eisfeld: Karyopharm (spouse): Current Employment.

Background: Mutations in the protein tyrosine phosphatase gene PTPN11 (also known as SHP2) are found in approximately 10% of adult patients with acute myeloid leukemia (AML). A recent study reported that mutated PTPN11 associates with inferior response rates and shorter survival among intensively treated AML patients, independently of the ELN prognostic groups (Alfayez et al., Leukemia 2020). Earlier analyses of the genomic landscape of AML did not uncover a similar prognostic relevance of PTPN11 mutations. Therefore, our aim was to clarify the prognostic relevance of mutated PTPN11 variants in AML patients receiving intensive front-line therapy. Patients and Methods: We studied 1116 AML patients enrolled on two subsequent multicenter phase III trials of the German AML Cooperative Group (AML-CG 1999, NCT00266136; and AML-CG 2008, NCT01382147) who were genetically characterized by amplicon-based targeted next-generation sequencing (Herold et al., Leukemia 2020). All patients had received induction chemotherapy containing cytarabine and daunorubicin or mitoxantrone. Results: We identified 146 PTPN11 mutations in 114 of 1116 patients (10%). Mutations clustered in two hotspot regions (5': codons 52-79; n=108 and 3': codons 491-512, n=38) as previously reported. Associations of PTPN11 mutations with baseline clinical and genetic patient characteristics are shown in Figure A. PTPN11 mutations were most frequent in the European LeukemiaNet (ELN) "favorable" genetic risk group, and associated with higher leukocyte counts. Patients with mutated PTPN11more commonly had mutated NPM1, IDH1 and DNMT3A, and less frequently had FLT3-ITD, IDH2 and TP53 mutations, compared to patients with wild-type PTPN11. With regard to treatment outcomes, the rate of complete remission was similar among patients with mutated and wild-type PTPN11 (65% vs. 59%, P=.25). In univariate analyses, PTPN11-mutated patients had significantly longer relapse-free survival (RFS; 5-year estimate, 55% vs 33% for PTPN11-wild type patients; P=.001; Figure B) and tended to have longer overall survival (OS; 5-year estimate, 43% vs 32%; P=.06; Figure C). However, in multivariable models adjusting for age, sex, leukocyte count, AML type (de novo/sAML/tAML) and ELN-2017 genetic risk group, mutated PTPN11 no longer associated with RFS (hazard ratio [HR], 0.89, 95% confidence interval [CI], 0.63 - 1.27; P=0.53) or OS (HR, 1.03; 95% CI, 0.80 - 1.33; P=.79). Moreover, PTPN11 mutations did not significantly associate with RFS or OS within any of the ELN genetic risk groups. Finally, we detected no significant differences in baseline characteristics or outcomes between patients with PTPN11 mutations affecting the 5' hotspot region (n=82), the 3' hotspot region (n=21), or mutations at both hotspots (n=11). Conclusion: In our cohort of newly diagnosed and intensively treated AML patients, mutations in PTPN11 occurred in 10% and associated with prognostically favorable genetic characteristics such as mutated NPM1 and absence of FLT3-ITD and TP53mutations. Consequently, PTPN11 mutations were most commonly found within the ELN-2017 favorable risk category. While patients with PTPN11 mutations had relatively favorable survival outcomes, multivariable models suggest this observation is confounded by the frequent co-occurrence of known favorable genetic markers. Our data are in disagreement with a recently published study on 880 newly diagnosed patients that found an unfavourable prognostic impact of mutated PTPN11, particularly among the 410 patients who received intensive treatment. Possible explanations for these discrepant results include differences in treatment regimens between the two cohorts, as well as the play of chance when studying a relatively rare gene mutation in medium-sized cohorts. In summary, our data do not support a role of PTPN11 mutations as an adverse prognostic biomarker in newly diagnosed, intensively treated adult AML patients. Figure Disclosures Metzeler: Daiichi Sankyo: Honoraria; Otsuka Pharma: Consultancy; Pfizer: Consultancy; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy; Astellas: Honoraria. Subklewe:AMGEN: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Research Funding; Janssen: Consultancy; Morphosys: Research Funding; Seattle Genetics: Research Funding; Roche AG: Consultancy, Research Funding; Gilead Sciences: Consultancy, Honoraria, Research Funding.

Deletions of the long arm of chromosome 9 [del(9q)] are a rare but recurring aberration in acute myeloid leukemia (AML). Del(9q) can be found as the sole abnormality or in combination with other cytogenetic aberrations such as t(8;21) and t(15;17). TLE1 and TLE4 were identified to be critical genes contained in the 9q region. We performed whole exome sequencing of 5 patients with del(9q) as the sole abnormality followed by targeted amplicon sequencing of 137 genes of 26 patients with del(9q) as sole or combined with other aberrations. We detected frequent mutations in NPM1 (10/26; 38%), DNMT3A (8/26; 31%), and WT1 (8/26; 31%) but only few FLT3-ITDs (2/26; 8%). All mutations affecting NPM1 and DNMT3A were exclusively identified in patients with del(9q) as the sole abnormality and were significantly more frequent compared to 111 patients classified as intermediate-II according to the European LeukemiaNet (10/14, 71% vs. 22/111, 20%; P

Background: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy and risk stratification based on genetic and clinical variables is standard practice. However, current models incorporating these factors accurately predict clinical outcomes for only 64-80% of patients and fail to provide clear treatment guidelines for patients with intermediate genetic risk. A plethora of prognostic gene expression signatures (PGES) have been proposed to improve outcome predictions but none of these have entered routine clinical practice and their role remains uncertain. Methods: To clarify clinical utility, we performed a systematic evaluation of eight highly-cited PGES i.e. Marcucci-7, Ng-17, Li-24, Herold-29, Eppert-LSCR-48, Metzeler-86, Eppert-HSCR-105, and Bullinger-133. We investigated their constituent genes, methodological frameworks and prognostic performance in four cohorts of non-FAB M3 AML patients (n= 1175). All patients received intensive anthracycline and cytarabine based chemotherapy and were part of studies conducted in the United States of America (TCGA), the Netherlands (HOVON) and Germany (AMLCG). Results: There was a minimal overlap of individual genes and component pathways between different PGES and their performance was inconsistent when applied across different patient cohorts. Concerningly, different PGES often assigned the same patient into opposing adverse- or favorable- risk groups (Figure 1A: Rand index analysis; RI=1 if all patients were assigned to equal risk groups and RI =0 if all patients were assigned to different risk groups). Differences in the underlying methodological framework of different PGES and the molecular heterogeneity between AMLs contributed to these low-fidelity risk assignments. However, all PGES consistently assigned a significant subset of patients into the same adverse- or favorable-risk groups (40%-70%; Figure 1B: Principal component analysis of the gene components from the eight tested PGES). These patients shared intrinsic and measurable transcriptome characteristics (Figure 1C: Hierarchical cluster analysis of the differentially expressed genes) and could be prospectively identified using a high-fidelity prediction algorithm (FPA). In the training set (i.e. from the HOVON), the FPA achieved an accuracy of ~80% (10-fold cross-validation) and an AUC of 0.79 (receiver-operating characteristics). High-fidelity patients were dichotomized into adverse- or favorable- risk groups with significant differences in overall survival (OS) by all eight PGES (Figure 1D) and low-fidelity patients by two of the eight PGES (Figure 1E). In the three independent test sets (i.e. form the TCGA and AMLCG), patients with predicted high-fidelity were consistently dichotomized into the same adverse- or favorable- risk groups with significant differences in OS by all eight PGES. However, in-line with our previous analysis, patients with predicted low-fidelity were dichotomized into opposing adverse- or favorable- risk groups by the eight tested PGES. Conclusion: With appropriate patient selection, existing PGES improve outcome predictions and could guide treatment recommendations for patients without accurate genetic risk predictions (~18-25%) and for those with intermediate genetic risk (~32-35%). Figure 1 Disclosures Hiddemann: Celgene: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Bayer: Research Funding; Vector Therapeutics: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Metzeler:Celgene: Honoraria, Research Funding; Otsuka: Honoraria; Daiichi Sankyo: Honoraria. Pimanda:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Beck:Gilead: Research Funding.

Alterations of RUNX1 in acute myeloid leukemia (AML) are associated with either a more favorable outcome in the case of the RUNX1/RUNX1T1 fusion or unfavorable prognosis in the case of point mutations. In this project we aimed to identify genes responsible for the observed differences in outcome that are common to both RUNX1 alterations. Analyzing four AML gene expression data sets (n = 1514), a total of 80 patients with RUNX1/RUNX1T1 and 156 patients with point mutations in RUNX1 were compared. Using the statistical tool of mediation analysis we identified the genes CD109, HOPX, and KIAA0125 as candidates for mediator genes. In an analysis of an independent validation cohort, KIAA0125 again showed a significant influence with respect to the impact of the RUNX1/RUNX1T1 fusion. While there were no significant results for the other two genes in this smaller validation cohort, the observed relations linked with mediation effects (i.e., those between alterations, gene expression and survival) were almost without exception as strong as in the main analysis. Our analysis demonstrates that mediation analysis is a powerful tool in the identification of regulative networks in AML subgroups and could be further used to characterize the influence of genetic alterations.

In 2008, a European registry of relapsed acute promyelocytic leukemia was established by the European LeukemiaNet. Outcome data were available for 155 patients treated with arsenic trioxide in first relapse. In hematological relapse (n=104), 91% of the patients entered complete hematological remission (CR), 7% had induction death and 2% resistance, 27% developed differentiation syndrome and 39% leukocytosis, whereas no death or side effects occurred in patients treated in molecular relapse (n=40). The rate of molecular (m)CR was 74% in hematological and 62% in molecular relapse (P=0.3). All patients with extramedullary relapse (n=11) entered clinical and mCR. After 3.2 years median follow-up, the 3-year overall survival (OS) and cumulative incidence of second relapse were 68% and 41% in hematological relapse, 66% and 48% in molecular relapse and 90 and 11% in extramedullary relapse, respectively. After allogeneic or autologous transplantation in second CR (n=93), the 3-year OS was 80% compared with 59% without transplantation (n=55) (P=0.03). Multivariable analysis demonstrated the favorable prognostic impact of first remission duration ⩾1.5 years, achievement of mCR and allogeneic or autologous transplantation on OS of patients alive after induction (P=0.03, P=0.01, P=0.01) and on leukemia-free survival (P=0.006, P

Multiplex PCR (mPCR) directly from blood has been suggested as a promising method for rapid identification of pathogens causing sepsis. This study aimed to investigate whether mPCR has any impact on antimicrobial treatment. Hematological patients with febrile neutropenia were randomized into two groups. In the study group, mPCR was performed as an addition to standard diagnostics, and PCR finding was immediately communicated to the clinicians, thus being available for decision making. In the control group, clinicians were not aware of PCR result. PCR samples were collected simultaneously with clinically indicated blood culture specimens from peripheral vein and/or central venous catheter at fever onset and once again if fever persisted up to 72 h. Overall, 74 patients of the study group and 76 patients of the control group were enrolled and 253 samples collected. Therapy was changed to targeted antimicrobial therapy (AMT) in 12 patients (16.2 %) in the study group and in 12 patients (15.8 %) in the control group. For patients with changes, the median time to change to the targeted AMT was 21.4 h in the study group and 47.5 h in the control group (p = 0.018). In the study group, 57.1 % (8/14) of changes to targeted AMT was due to PCR finding. PCR led to AMT change in 9.5 % (7/74) of study group patients, i.e., in 33.3 % (7/21) of patients who had positive PCR finding. There were no significant differences in patient outcomes (secondary endpoints). In conclusion, PCR method accelerates change to the targeted AMT in febrile neutropenic patients.

SeptiFast multiplex PCR assay was evaluated for detecting true bloodstream infections (BSIs) with coagulase-negative staphylococci (CoNS) in neutropenic hematological patients. Sensitivity for samples representing true CoNS-BSIs was 23.3% with an integrated cutoff and increased to 83.3% if the cutoff was neglected. Hence, the cutoff may prohibit timely targeted antimicrobial therapy.

Some patients with acute myeloid leukemia (AML) who are in complete remission after induction chemotherapy harbor persisting pre-leukemic clones, carrying a subset of leukemia-associated somatic mutations. There is conflicting evidence on the prognostic relevance of these clones for AML relapse. Here, we characterized paired pre-treatment and remission samples from 126 AML patients for mutations in 68 leukemia-associated genes. Fifty patients (40%) retained ≥1 mutation during remission at a VAF of ≥2%. Mutation persistence was most frequent in DNMT3A (65% of patients with mutations at diagnosis), SRSF2 (64%), TET2 (55%), and ASXL1 (46%), and significantly associated with older age (p

Deletions of the long arm of chromosome 9 [del(9q)] are a rare but recurring aberration in acute myeloid leukemia (AML). Del(9q) can be found as the sole abnormality or in combination with other cytogenetic aberrations such as t(8;21) and t(15;17). TLE1 and TLE4 were identified to be critical genes contained in the 9q region. We performed whole exome sequencing of 5 patients with del(9q) as the sole abnormality followed by targeted amplicon sequencing of 137 genes of 26 patients with del(9q) as sole or combined with other aberrations. We detected frequent mutations in NPM1 (10/26; 38%), DNMT3A (8/26; 31%), and WT1 (8/26; 31%) but only few FLT3-ITDs (2/26; 8%). All mutations affecting NPM1 and DNMT3A were exclusively identified in patients with del(9q) as the sole abnormality and were significantly more frequent compared to 111 patients classified as intermediate-II according to the European LeukemiaNet (10/14, 71% vs. 22/111, 20%; P 0.001, 8/14, 57% vs. 26/111, 23%; P = 0.02). Furthermore, we identified DNMT3B to be rarely but recurrently targeted by truncating mutations in AML. Gene expression analysis of 13 patients with del(9q) and 454 patients with normal karyotype or various cytogenetic aberrations showed significant down regulation of TLE4 in patients with del(9q) (P = 0.02). Interestingly, downregulation of TLE4 was not limited to AML with del(9q), potentially representing a common mechanism in AML pathogenesis. Our comprehensive genetic analysis of the del(9q) subgroup reveals a unique mutational profile with the frequency of DNMT3A mutations in the del(9q) only subset being the highest reported so far in AML, indicating oncogenic cooperativity. © 2016 Wiley Periodicals, Inc.

Purpose To identify a robust prognostic gene expression signature as an independent predictor of survival of patients with acute myeloid leukemia (AML) and use it to improve established risk classification. Patients and Methods Four independent sets totaling 499 patients with AML carrying various cytogenetic and molecular abnormalities were used as training sets. Two independent patient sets composed of 825 patients were used as validation sets. Notably, patients from different sets were treated with different protocols, and their gene expression profiles were derived using different microarray platforms. Cox regression and Kaplan-Meier methods were used for survival analyses. Results A prognostic signature composed of 24 genes was derived from a meta-analysis of Cox regression values of each gene across the four training sets. In multivariable models, a higher sum value of the 24-gene signature was an independent predictor of shorter overall (OS) and event-free survival (EFS) in both training and validation sets (P < .01). Moreover, this signature could substantially improve the European LeukemiaNet (ELN) risk classification of AML, and patients in three new risk groups classified by the integrated risk classification showed significantly (P < .001) distinct OS and EFS. Conclusion Despite different treatment protocols applied to patients and use of different microarray platforms for expression profiling, a common prognostic gene signature was identified as an independent predictor of survival of patients with AML. The integrated risk classification incorporating this gene signature provides a better framework for risk stratification and outcome prediction than the ELN classification.

Purpose Identifying true therapeutic progress in patients with acute myeloid leukemia (AML) requires a comparison of treatment strategies and results on the basis of uniform patient selection. To foster comparability across five clinical studies, we introduced a common standard arm combined with a general upfront randomization and performed prospective analyses with adjustment for differences in prognostic baseline characteristics. Patients and Methods Whereas the studies' own regimens differed in chemotherapies, risk adaption, and guidelines for allogeneic stem-cell transplantation, the standard arm contained uniform cytarabine- and anthracycline-based standard-dose remission induction and high-dose consolidation courses. Results Of 2,995 evaluable patients aged 16 to 60 years, 290 patients were randomly assigned to the common standard arm. Seventy percent of the 290 achieved complete remissions (62% with complete recovery, 8% with incomplete recovery; 95% CI, 65% to 76%). Five-year survival probabilities were 44.3% (95% CI, 37.7% to 50.7%) for overall survival, 44.8% (95% CI, 37.0% to 52.2%) for relapse-free survival, and 31.5% (95% CI, 25.7% to 37.4%) for event-free survival. Neither the unadjusted survival probabilities of the Kaplan-Meier method nor their adjustment for prognostic variables in multiple Cox regression models led to statistically significant different results in the three survival end points when the outcomes of each study were compared with the standard arm. Conclusion A strictly prospective comparison of different treatment strategies in patients with AML did not show clinically relevant outcome differences when compared through a common standard treatment arm. The results provide a representative basis for further therapeutic approaches.

The t(8;21) translocation is one of the most frequent cytogenetic abnormalities in acute myeloid leukaemia (AML) and results in the RUNX1/RUNX1T1 rearrangement. Despite the causative role of the RUNX1/RUNX1T1 fusion gene in leukaemia initiation, additional genetic lesions are required for disease development. Here we identify recurring ZBTB7A mutations in 23% (13/56) of AML t(8;21) patients, including missense and truncating mutations resulting in alteration or loss of the C-terminal zinc-finger domain of ZBTB7A. The transcription factor ZBTB7A is important for haematopoietic lineage fate decisions and for regulation of glycolysis. On a functional level, we show that ZBTB7A mutations disrupt the transcriptional repressor potential and the anti-proliferative effect of ZBTB7A. The specific association of ZBTB7A mutations with t(8;21) rearranged AML points towards leukaemogenic cooperativity between mutant ZBTB7A and the RUNX1/RUNX1T1 fusion., The t(8;21) translocation is often found in acute myeloid leukaemia but is not sufficient for development of the disease. In this study, the authors identify frequent mutations in the transcriptional repressor, ZBTB7A, in these patients and show that the mutations reduce DNA binding activity.

Summary Wilms Tumor‐1 (WT1) expression level is implicated in the prognosis of acute myeloid leukaemia (AML). We hypothesized that a gene expression profile associated with WT1 expression levels might be a good surrogate marker. We identified high WT1 gene sets by comparing the gene expression profiles in the highest and lowest quartiles of WT1 expression in two large AML studies. Two high WT1 gene sets were found to be highly correlated in terms of the altered genes and expression profiles. We identified a 17‐probe set signature of the high WT1 set as the optimal prognostic predictor in the first AML set, and showed that it was able to predict prognosis in the second AML series after adjustment for European LeukaemiaNet genetic groups. The gene signature also proved to be of prognostic value in a third AML series of 163 samples assessed by RNA sequencing, demonstrating its cross‐platform consistency. This led us to derive a 4‐gene expression score, which faithfully predicted adverse outcome. In conclusion, a short gene signature associated with high WT1 expression levels and the resultant 4‐gene expression score were found to be predictive of adverse prognosis in AML. This study provides new clues to the molecular pathways underlying high WT1 states in leukaemia.

We randomized 3375 adults with newly diagnosed acute myeloid leukemia (AML) or high-risk myelodysplastic syndrome to test whether increasingly intensive chemotherapies assigned at study-entry and analyzed on an intent-to-treat basis improved outcomes. In total, 1529 subjects

Background Allogeneic hematopoietic cell transplantation is considered the preferred post-remission therapy in patients with acute myeloid leukemia cytogenetically defined as being at high risk. To substantiate evidence for allogeneic hematopoietic cell transplantation in first complete remission in these high-risk patients we performed a landmark analysis within a single prospective multicenter treatment trial.By the time of analysis, 2,347 patients had been accrued into the AMLCG 99 trial between 1999 - 2007. Out of this population, 243 patients under 60 years old fulfilled the criteria for high-risk cytogenetics. Landmark analyses were performed with a control cohort, who remained in first complete remission at least the median time from complete remission to transplantation in the intervention group.After standardized induction therapy, 111 patients under 60 years old achieved complete remission. A matched allogeneic donor was identified for 59 patients (30 sibling donors, 29 unrelated donors). Fifty-five patients received an allogeneic hematopoietic cell transplant after a median time of 88 days in first complete remission. Of the remaining 56 patients, 21 relapsed within 90 days after achieving first complete remission and for 7 patients with relevant comorbidities no donors search was initiated, leaving 28 patients given conventional post-remission therapy as the control cohort. The median follow-up of surviving patients was 60.4 months. Patients with an allogeneic donor had substantially better 5-year overall and relapse-free survival rates than the control group (48% versus 18%, P=0.004 and 39% versus 10%, P0.001, respectively). A survival benefit from transplantation was evident regardless of donor type, age and monosomal karyotype. Conclusions Beyond evidence available for subgroups of high-risk patients, the findings of this study establish in a broader manner that allogeneic hematopoietic cell transplantation is a preferable consolidation treatment for patients with acute myeloid leukemia and high-risk cytogenetics. The study was registered at Clinicaltrials.gov as NCT00266136.

Summary Background About 50% of patients (age ≥60 years) who have acute myeloid leukaemia and are otherwise medically healthy (ie, able to undergo intensive chemotherapy) achieve a complete remission (CR) after intensive chemotherapy, but with a substantially increased risk of early death (ED) compared with younger patients. We verified the association of standard clinical and laboratory variables with CR and ED and developed a web-based application for risk assessment of intensive chemotherapy in these patients. Methods Multivariate regression analysis was used to develop risk scores with or without knowledge of the cytogenetic and molecular risk profiles for a cohort of 1406 patients (aged ≥60 years) with acute myeloid leukaemia, but otherwise medically healthy, who were treated with two courses of intensive induction chemotherapy (tioguanine, standard-dose cytarabine, and daunorubicin followed by high-dose cytarabine and mitoxantrone; or with high-dose cytarabine and mitoxantrone in the first and second induction courses) in the German Acute Myeloid Leukaemia Cooperative Group 1999 study. Risk prediction was validated in an independent cohort of 801 patients (aged >60 years) with acute myeloid leukaemia who were given two courses of cytarabine and daunorubicin in the Acute Myeloid Leukaemia 1996 study. Findings Body temperature, age, de-novo leukaemia versus leukaemia secondary to cytotoxic treatment or an antecedent haematological disease, haemoglobin, platelet count, fibrinogen, and serum concentration of lactate dehydrogenase were significantly associated with CR or ED. The probability of CR with knowledge of cytogenetic and molecular risk (score 1) was from 12% to 91%, and without knowledge (score 2) from 21% to 80%. The predicted risk of ED was from 6% to 69% for score 1 and from 7% to 63% for score 2. The predictive power of the risk scores was confirmed in the independent patient cohort (CR score 1, from 10% to 91%; CR score 2, from 16% to 80%; ED score 1, from 6% to 69%; and ED score 2, from 7% to 61%). Interpretation The scores for acute myeloid leukaemia can be used to predict the probability of CR and the risk of ED in older patients with acute myeloid leukaemia, but otherwise medically healthy, for whom intensive induction chemotherapy is planned. This information can help physicians with difficult decisions for treatment of these patients. Funding Deutsche Krebshilfe and Deutsche Forschungsgemeinschaft.

Purpose CEBPA mutations are found as either biallelic (biCEBPA) or monoallelic (moCEBPA). We set out to explore whether the kind of CEBPA mutation is of prognostic relevance in cytogenetically normal (CN) acute myeloid leukemia (AML). Patients and Methods Four hundred sixty-seven homogeneously treated patients with CN-AML were subdivided into moCEBPA, biCEBPA, and wild-type (wt) CEBPA patients. The subgroups were analyzed for clinical parameters and for additional mutations in the NPM1, FLT3, and MLL genes. Furthermore, we obtained gene expression profiles using oligonucleotide microarrays. Results Only patients with biCEBPA had an improved median overall survival when compared with patients with wtCEBPA (not reached v 20.4 months, respectively; P = .018), whereas patients with moCEBPA (20.9 months) and wtCEBPA had a similar outcome (P = .506). Multivariable analysis confirmed biCEBPA, but not moCEBPA, mutations as an independent favorable prognostic factor. Interestingly, biCEBPA mutations, compared with wtCEBPA, were never associated with mutated NPM1 (0% v 43%, respectively; P < .001) and rarely associated with FLT3 internal tandem duplication (ITD; 5% v 23%, respectively; P = .059), whereas patients with moCEBPA had a similar frequency of mutated NPM1 and a significantly higher association with FLT3-ITD compared with patients with wtCEBPA (44% v 23%, respectively; P = .037). Furthermore, patients with biCEBPA showed a homogeneous gene expression profile that was characterized by downregulation of HOX genes, whereas patients with moCEBPA showed greater heterogeneity in their gene expression profiles. Conclusion Biallelic disruption of the N and C terminus of CEBPA is required for the favorable clinical outcome of CEBPA-mutated patients and represents a distinct molecular subtype of CN-AML with a different frequency of associated gene mutations. These findings are of great significance for risk-adapted therapeutic strategies in AML.

Purpose Recently, several novel molecular prognostic markers were identified in cytogenetically normal acute myeloid leukemia (CN-AML). In addition to the well-known influence of FLT3, NPM1, and CEBPA mutations, high transcript levels of the ERG, BAALC, and MN1 genes have been associated with inferior outcomes, but the relative importance of these risk markers remains to be defined. Patients and Methods We analyzed ERG, BAALC, and MN1 expression levels in a cohort of 210 patients with CN-AML who received intensive chemotherapy. Expression levels of ERG, BAALC, and MN1 were determined in bone marrow samples by using oligonucleotide microarrays. Results High transcript levels of ERG, BAALC, and MN1 were predictors for inferior overall survival (OS) and a lower rate of complete remissions (CRs). There were significant positive correlations between the expression levels of all three genes. ERG expression levels predicted OS in elderly patients (ie, age 60 years or older) with CN-AML (P = .006) as well as in younger patients (P = .013). In multivariate analyses, high ERG expression was independently associated with a lower CR rate (P = .013), shorter event-free survival (P = .008), and shorter OS (P = .005). Patients who had low ERG levels and absent FLT3 internal tandem duplication (ITD) had a 5-year OS of 44%, and patients who had high ERG expression and FLT3 ITD had a 5-year OS of only 5%. Conclusion We analyzed a comprehensive set of molecular risk factors in a large, homogeneous CN-AML patient cohort. In this study, high ERG expression levels emerged as a strong negative prognostic factor and provided prognostic information in addition to established molecular markers.

Mutations in the NPM1 gene represent the most frequent genetic alterations in patients with acute myeloid leukemia (AML) and are associated with a favorable outcome. In 690 normal karyotype (NK) AML patients the complete remission rates (CRs) and the percentage of patients with adequate in vivo blast cell reduction 1 week after the end of the first induction cycle were significantly higher in NPM1+ (75% and 80%, respectively) than in NPM1− (57% and 57%, respectively) patients, but were unaffected by the FLT3-ITD status. Multivariate analyses revealed the presence of a NPM1 mutation as an independent positive prognostic factor for the achievement of an adequate day-16 blast clearance and a CR. In conclusion, NPM1+ blast cells show a high in vivo sensitivity toward induction chemotherapy irrespective of the FLT3-ITD mutation status. These findings provide insight into the pathophysiology and help to understand the favorable clinical outcome of patients with NPM1+ AML.

Maintenance treatment for AML is an approach to minimize residual disease, optimize quality of remission and prevent a leukemic regrowth over a longer period of time. This intention implies a certain antileukemic activity and myelotoxicity. Thus, a prolonged myelosuppressive maintenance is best exemplified by the optimized protocol of the CALGB published by Kanti R. Rai in 1981 (Blood 58:1203-1212, 1981) and derived by the AMLCG as a therapeutic standard. From our today's knowledge about the impact of various strategies, a lack of postremission therapy is not compatible with durable remissions. Even after an induction-type consolidation, the classic CALGB-type maintenance, or a comparably intensive regimen improved the relapse-free survival over that from alternatives. Some studies which failed to show a benefit used maintenance at low-dosage or short duration. Data about maintenance delivery in patients reaching long-term remissions demonstrate feasibility and compliance, and a low maintenance-related death rate can compete with that from alternative options. Revisiting maintenance, however, requires a comparison with other strategies on the basis of intention-to-treat. Either single prospective trials or crosstrial networking by a common standard arm and general upfront randomization can further assess the relative value of maintenance for AML.

In acute myeloid leukemia (AML), assessment of minimal residual disease (MRD) by flow cytometry (flow MRD) after induction and consolidation therapy has been shown to provide independent prognostic information. However, data on the value of earlier flow MRD assessment are lacking. Therefore, the value of flow MRD detection was determined during aplasia in 178 patients achieving complete remission after treatment according to AMLCG (AML Cooperative Group) induction protocols. Flow MRD positivity during aplasia predicted poor outcome (5-year relapse-free survival (RFS) 16% vs 43%, P0.001) independently from age and cytogenetic risk group (hazard ratio for MRD positivity 1.71; P=0.009). Importantly, the prognosis of patients without detectable MRD was neither impacted by morphological blast count during aplasia nor by MRD status postinduction. Early flow MRD was also evaluated in the context of existing risk factors. Flow MRD was prognostic within the intermediate cytogenetic risk group (5-year RFS 15% vs 37%, P=0.016) as well as for patients with normal karyotype and NPM1 mutations (5-year RFS 13% vs 49%, P=0.02) or FLT3-ITD (3-year RFS rates 9% vs 44%, P=0.016). Early flow MRD assessment can improve current risk stratification approaches by prediction of RFS in AML and might facilitate adaptation of postremission therapy for patients at high risk of relapse.

Undertreatment of the older patients with AML can explain, in part, their inferior outcome when compared with that in younger patients. In analogy to the benefit of patients under the age of 60 years from high-dose AraC there are dosage related therapeutic effects in the patients over 60 years in particular for daunorubicin in the induction treatment, and for maintenance versus no maintenance in the post-remission treatment. Utilizing these effects can partly overcome the mostly unfavorable disease biology in older age AML, whereas the role of risk factors involved is not completely understood and the concept of dose–response needs to be requestioned. We recommend an adequate dosage of 60mg/(m 2 day) daunorubicin for 3 days in a combination with standard dose AraC and 6-thioguanine given for induction and consolidation and followed by a prolonged monthly maintenance chemotherapy. Further improvements in supportive care may help delivering additional anti-leukemic cytotoxicity. As a novel approach, reduced toxicity preparative regimens may open up allogeneic transplantation for older patients with AML. Other new options like MDR modulators, antibody targeted therapies and tyrosine kinase inhibitors are under clinical investigation. A questionnaire study in patients with AML showed that according to patients' self-assessment intensive and prolonged treatment did not result in decreasing quality of life. This finding did not vary by age under or above 60 years. Given the actual median age in this disease being more than 60 years the adequate management of older age AML remains as the major challenge.

Purpose: To examine the efficacy of prolonged maintenance chemotherapy versus intensified consolidation therapy for patients with acute myeloid leukemia (AML). Materials and Methods: Eight hundred thirty-two patients (median age, 54 years; range, 16 to 82 years) with de novo AML were randomly assigned to receive 6-thioguanine, cytarabine, and daunorubicin (TAD) plus cytarabine and mitoxantrone (HAM; cytarabine 3 g/m2 [age < 60 years] or 1 g/m2 [age ≥ 60 years] × 6) induction, TAD consolidation, and monthly modified TAD maintenance for 3 years, or TAD-HAM-TAD and one course of intensive consolidation with sequential HAM (S-HAM) with cytarabine 1 g/m2 (age < 60 years) or 0.5 g/m2 (age ≥ 60 years) × 8 instead of maintenance. Results: A total of 69.2% patients went into complete remission (CR). Median relapse-free survival (RFS) was 19 months for patients on the maintenance arm, with 31.4% of patients relapse-free at 5 years, versus 12 months for patients on the S-HAM arm, with 24.7% of patients relapse-free at 5 years (P = .0118). RFS from maintenance was superior in patients with poor risk by unfavorable karyotype, age ≥ 60 years, lactate dehydrogenase level greater than 700 U/L, or day 16 bone marrow blasts greater than 40% (P = .0061) but not in patients with good risk by complete absence of any poor risk factors. Although a survival benefit in the CR patients is not significant (P = .085), more surviving patients in the maintenance than in the S-HAM arm remain in first CR (P = .026). Conclusion: We conclude that TAD-HAM-TAD-maintenance first-line treatment has a higher curative potential than TAD-HAM-TAD-S-HAM and improves prognosis even among patients with poor prognosis.

Undertreatment of older patients with acute myeloid leukemia (AML) can explain, in part, their inferior outcome when compared to that of younger patients. In agreement with the benefit seen by patients under age 60 from high-dose cytosine arabinoside (Ara-C), there are dose effects in the over 60s, in particular for daunorubicin, in induction treatment and for the duration of postremission treatment. The use of these effects can partly overcome the mostly unfavorable disease biology in older age AML, as expressed by the absence of favorable and the over-representation of adverse chromosomal abnormalities as well as the expression of drug resistance. We recommend an adequate dosage of 60 mg/m2 daunorubicin on 3 days in combination with standard dose Ara-C and 6-thioguanine given for induction and consolidation, and followed by a prolonged monthly maintenance chemotherapy for at least 1 year's duration. Further improvements in supportive care may help to deliver additional antileukemic cytotoxicity. As a novel approach, nonmyeloablative preparative regimens may open up the possibility of allogeneic transplantation for older patients with AML. Other new options like multidrug resistance modulators, antibody targeted therapies and molecular targeting are under clinical investigation. A questionnaire study in patients with AML showed that, according to patients' self-assessment, intensive and prolonged treatment did not result in a diminished quality of life. This finding did not vary by age, under or over 60 years. As the median age in this disease is more than 60 years, the adequate management of AML in older patients remains the major challenge.

Background Allogeneic stem cell transplantation (alloSCT) is the preferred option of postremission therapy for high-risk patients suffering from acute myeloid leukemia (AML). Therefore, monitoring life satisfaction (LS) of long-term survivors following alloSCT is becoming increasingly important for oncologists. The aim of the study was to evaluate individual survivor priority of various general and health-related domains of life and their satisfaction with these domains. Furthermore, we investigated the impact of general and health-related LS on resilience, anxiety, depression and quality of life in AML survivors following alloSCT. Methods Forty-one AML survivors (median age at time of assessment = 49.0 years) who had undergone alloSCT (median time since transplantation = 3.1 years) were enrolled in the study. Psychosocial parameters were assessed using the following instruments: FLZM (Questions on Life Satisfaction), EORTC QLQ-C30, HADS (Hospital Anxiety and Depression Scale) and the RS-25 (Resilience Scale-25 items). Correlation analyses were computed to reveal the associations between the different questionnaires. Results Independence from help or care, well-regulated living conditions and financial security contributed positively to LS, whereas being off work due to health-reasons and dissatisfaction with physical aspects were negatively associated to the subjective feelings of overall satisfaction. Moreover, a high quality of life was strongly positively correlated with LS (Spearman’s rho general LS: 0.643 and health-related LS: 0.726, both p

Isolated trisomy 13 (AML+13) is a rare chromosomal abnormality in acute myeloid leukemia (AML), and its prognostic relevance is poorly characterized. We analyzed the clinical course of 34 AML+13 patients enrolled in the German AMLCG-1999 and SAL trials and studied their biological characteristics by exome sequencing, targeted sequencing of candidate genes and gene expression profiling. Relapse-free (RFS) and overall survival (OS) of AML+13 patients were inferior compared to other ELN Intermediate-II patients (n=855) (median RFS, 7.8 vs 14.1 months, p=0.006; median OS 9.3 vs. 14.8 months, p=0.004). Besides the known high frequency of RUNX1 mutations (75%), we identified mutations in spliceosome components in 88%, including SRSF2 codon 95 mutations in 81%, of AML+13 patients. Moreover, recurring mutations were detected in ASXL1 (44%) and BCOR (25%). Two patients carried mutations in CEBPZ, suggesting that CEBPZ is a novel recurrently mutated gene in AML. Gene expression analysis revealed a homogenous expression profile including upregulation of FOXO1 and FLT3 and downregulation of SPRY2. This is the most comprehensive clinical and biological characterization of AML+13 to date, and reveals a striking clustering of lesions in a few genes, defining AML+13 as a genetically homogenous leukemia subgroup with alterations in a few critical cellular pathways. These studies were registered at clinicaltrials.gov, identifiers: AMLCG-1999: NCT00266136; AML96: NCT00180115; AML2003: NCT00180102; and AML60+: NCT00893373.

Monitoring minimal residual disease is an important way to identify patients with acute myeloid leukemia at high risk of relapse. In this study we investigated the prognostic potential of minimal residual disease monitoring by quantitative real-time polymerase chain reaction analysis of NPM1 mutations in patients treated in the AMLCG 1999, 2004 and 2008 trials. Minimal residual disease was monitored - in aplasia, after induction therapy, after consolidation therapy, and during follow-up - in 588 samples from 158 patients positive for NPM1 mutations A, B and D (with a sensitivity of 10(-6)). One hundred and twenty-seven patients (80.4%) achieved complete remission after induction therapy and, of these, 56 patients (44.1%) relapsed. At each checkpoint, minimal residual disease cut-offs were calculated. After induction therapy a cut-off NPM1 mutation ratio of 0.01 was associated with a high hazard ratio of 4.26 and the highest sensitivity of 76% for the prediction of relapse. This was reflected in a cumulative incidence of relapse after 2 years of 77.8% for patients with ratios above the cut-off versus 26.4% for those with ratios below the cut-off. In the favorable subgroup according to European LeukemiaNet, the cut-off after induction therapy also separated the cohort into two prognostic groups with a cumulative incidence of relapse of 76% versus 6% after 2 years. Our data demonstrate that in addition to pre-therapeutic factors, the course of minimal residual disease in an individual is an important prognostic factor and could be included in clinical trials for the guidance of post-remission therapy. The trials from which data were obtained were registered at www.clinicaltrials.gov (#NCT01382147, #NCT00266136) and at the European Leukemia Trial Registry (#LN_AMLINT2004_230).

Purpose Cytogenetically normal (CN) acute myeloid leukemia (AML) is the largest and most heterogeneous cytogenetic AML subgroup. For the practicing clinician, it is difficult to summarize the prognostic information of the growing number of clinical and molecular markers. Our purpose was to develop a widely applicable prognostic model by combining well-established pretreatment patient and disease characteristics. Patients and Methods Two prognostic indices for CN-AML (PINA), one regarding overall survival (OS; PINAOS) and the other regarding relapse-free survival (RFS; PINARFS), were derived from data of 572 patients with CN-AML treated within the AML Cooperative Group 99 study ( www.aml-score.org ). Results On the basis of age (median, 60 years; range, 17 to 85 years), performance status, WBC count, and mutation status of NPM1, CEBPA, and FLT3-internal tandem duplication, patients were classified into the following three risk groups according to PINAOS and PINARFS: 29% of all patients and 32% of 381 responding patients had low-risk disease (5-year OS, 74%; 5-year RFS, 55%); 56% of all patients and 39% of responding patients had intermediate-risk disease (5-year OS, 28%; 5-year RFS, 27%), and 15% of all patients and 29% of responding patients had high-risk disease (5-year OS, 3%; 5-year RFS, 5%), respectively. PINAOS and PINARFS stratified outcome within European LeukemiaNet genetic groups. Both indices were confirmed on independent data from Cancer and Leukemia Group B/Alliance trials. Conclusion We have developed and validated, to our knowledge, the first prognostic indices specifically designed for adult patients of all ages with CN-AML that combine well-established molecular and clinical variables and that are easily applicable in routine clinical care. The integration of both clinical and molecular markers could provide a basis for individualized patient care through risk-adapted therapy of CN-AML.

Intensive induction therapy in acute myeloid leukemia (AML) as in some other systemic malignancies is a strategy fundamentally different from post-remission strategies. Approaches such as consolidation treatment, prolonged maintenance, and autologous or allogeneic transplantation in first remission are directed against the minimal residual disease in which a malignant cell population has survived induction treatment and shows resistance due to special genetic or kinetic features. In contrast, induction therapy deals with naive tumor cells possibly different from their counterparts in remission in terms of their kinetic status and sensitivity. Therefore, in AML the introduction of intensification strategies into the induction phase of treatment has been suggested as a new step in addition to intensification in the postremission phase. As expected from the dose effects observed in post-remission treatment with high-dose cytarabine (AraC) or longer treatment, similar dose effects have been found in induction treatment both from the incorporation of high-dose AraC and from the double-induction strategy used in patients up to 60 years of age. As a particular effect, patients with poor-risk AML according to an unfavorable karyotype, high LDH in serum, or a delayed response show longer survival following double induction containing high-dose AraC as compared to standard-dose AraC. A corresponding dose effect in the induction treatment of patients aged 60 years and older has been found with daunorubicin 60 vs 30 mg/m2 as part of the thioguanine/ AraC/daunorubicin (TAD) regimen with the higher dosage significantly increasing the response rate and survival in these older patients who represent a poor-risk group as a whole. Thus we have been able to demonstrate both in younger and older patients that a poor prognosis can be improved by a more intensive induction therapy. High-dose AraC in induction, however, exhibits cumulative toxicity in that repeated courses containing high-dose AraC in the post-remission period lead to long-lasting aplasias of about 6 weeks. Thus after intensive induction treatment, high-dose chemotherapy in remission may be practicable using stem-cell rescue and may contribute to a further improvement in the outcome in poor-risk as well as average-risk patients with AML. These approaches are currently under investigation by the German AML Cooperative Group (AMLCG). "The more intensive the better" is certainly not the way to go in the management of AML and other systemic malignancies but some increase in intensity may be possible and better.