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Genomic investigations of acute myeloid leukemia (AML) have demonstrated that several genes are recurrently mutated, leading to new genomic classifications, predictive biomarkers, and new therapeutic targets. Mutations of the FMS-like tyrosine kinase 3 ( FLT3 ) gene occur in approximately 30% of all AML cases, with the internal tandem duplication (ITD) representing the most common type of FLT3 mutation ( FLT3 -ITD; approximately 25% of all AML cases). FLT3 -ITD is a common driver mutation that presents with a high leukemic burden and confers a poor prognosis in patients with AML. The prognostic value of a FLT3 mutation in the tyrosine kinase domain ( FLT3 -TKD), which has a lower incidence in AML (approximately 7–10% of all cases), is uncertain. Accumulating evidence demonstrates that FLT3 mutational status evolves throughout the disease continuum. This so-called clonal evolution, together with the identification of FLT3 -ITD as a negative prognostic marker, serves to highlight the importance of FLT3 -ITD testing at diagnosis and again at relapse. Earlier identification of FLT3 mutations will help provide a better understanding of the patient’s disease and enable targeted treatment that may help patients achieve longer and more durable remissions. First-generation FLT3 inhibitors developed for clinical use are broad-spectrum, multikinase inhibitors; however, next-generation FLT3 inhibitors are more specific, more potent, and have fewer toxicities associated with off-target effects. Primary and secondary acquired resistance to FLT3 inhibitors remains a challenge and provides a rationale for combining FLT3 inhibitors with other therapies, both conventional and investigational. This review focuses on the pathological and prognostic role of FLT3 mutations in AML, clinical classification of the disease, recent progress with next-generation FLT3 inhibitors, and mechanisms of resistance to FLT3 inhibitors.

The authors identify 11 discrete genetic subsets of acute myeloid leukemia on the basis of the expression and coexpression of particular mutations. Prospective studies may elucidate distinct approaches to their management. Acute myeloid leukemia (AML) is characterized by clonal expansion of undifferentiated myeloid precursors, resulting in impaired hematopoiesis and bone marrow failure. Although many patients with AML have a response to induction chemotherapy, refractory disease is common, and relapse represents the major cause of treatment failure. 1 Cancer develops from somatically acquired driver mutations, which account for the myriad biologic and clinical complexities of the disease. A classification of cancers that is based on causality is likely to be durable, reproducible, and clinically relevant. This is already evident in the case of AML, for which there has been a progressive shift from . . .

Peter Campbell, Hartmut Döhner and colleagues present an analysis of genetic mutations and clinical information from 1,540 patients with acute myeloid leukemia, demonstrating the utility of clinical knowledge banks for personalized medicine. They show that use of their approach could reduce the number of hematopoietic cell transplants in patients with AML by up to 25% while maintaining survival rates. Underpinning the vision of precision medicine is the concept that causative mutations in a patient's cancer drive its biology and, by extension, its clinical features and treatment response. However, considerable between-patient heterogeneity in driver mutations complicates evidence-based personalization of cancer care. Here, by reanalyzing data from 1,540 patients with acute myeloid leukemia (AML), we explore how large knowledge banks of matched genomic–clinical data can support clinical decision-making. Inclusive, multistage statistical models accurately predicted likelihoods of remission, relapse and mortality, which were validated using data from independent patients in The Cancer Genome Atlas. Comparison of long-term survival probabilities under different treatments enables therapeutic decision support, which is available in exploratory form online. Personally tailored management decisions could reduce the number of hematopoietic cell transplants in patients with AML by 20–25% while maintaining overall survival rates. Power calculations show that databases require information from thousands of patients for accurate decision support. Knowledge banks facilitate personally tailored therapeutic decisions but require sustainable updating, inclusive cohorts and large sample sizes.

Almost half of patients with acute myeloid leukemia (AML) do not have detectable cytogenetic abnormalities. This study of more than 870 such patients determined the frequencies of mutations of the NPM1, FLT3, CEBPA, and MLL genes that affect the growth and differentiation of hematopoietic stem cells and showed that these mutations are associated with the treatment outcome. The authors propose that these mutations constitute a new basis for refining the risk classification of AML. This study of patients with cytogenetically normal AML determined the frequencies of mutations of genes that affect the growth and differentiation of hematopoietic stem cells and showed that these mutations are associated with the treatment outcome. Acute myeloid leukemia (AML) is a genetically heterogeneous disease in which somatic mutations that disturb cellular growth, proliferation, and differentiation accumulate in hematopoietic progenitor cells. The karyotype at the time of diagnosis provides the most important prognostic information in adults with AML, 1 – 3 but 40 to 50% of patients do not have clonal chromosomal aberrations. 1 – 3 All such cases of cytogenetically normal AML are currently categorized in the intermediate-risk group, yet this group is quite heterogeneous. 4 , 5 In recent years, acquired gene mutations, as well as deregulation of gene expression, have been identified. 6 – 8 Somatic mutations in AML include partial . . .

This study demonstrates that the genes expressed by peripheral-blood monocytes of adults with acute myeloid leukemia provide prognostic information over and above that provided by established indicators such as cytogenetic status. The authors analyzed the gene-expression profiles of samples obtained from 116 patients, who were subsequently assigned to receive various intensive treatments. They identified good- and poor-outcome classes of gene expression that were associated with differences in overall survival — even when the analysis was restricted to specimens with a normal karyotype. Genes expressed by monocytes identified good- and poor-outcome classes even with a normal karyotype. Acute myeloid leukemia (AML) is the most common acute leukemia in adults. Chemotherapy induces a complete remission in 70 to 80 percent of younger patients (age, 16 to 60 years), but many of them have a relapse and die of their disease. Myeloablative conditioning followed by allogeneic stem-cell transplantation can prevent relapse, but this approach is associated with a high treatment-related mortality. 1 Therefore, accurate predictors of the clinical outcome are needed to determine appropriate treatment for individual patients. (See Glossary.) Currently used prognostic indicators include age, cytogenetic findings, the white-cell count, and the presence or absence of an antecedent hematologic . . .

With the introduction of all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) acute promyelocytic leukemia (APL) has become from a detrimental to one of the most curable malignant diseases in humans. In particular, the chemotherapy-free regimen with ATO/ATRA has been proven to be highly effective in de novo APL and has become standard first-line therapy in younger adult, non-high-risk patients. Nevertheless, early death is still a major issue in APL, particularly in older patients, emphasizing the need of rapid diagnostics and supportive care together with immediate access to ATRA-based therapy. Despite the dramatic progress achieved in therapy of APL challenging situations occur, particularly in patients excluded from controlled studies with clinical knowledge mainly based on case reports and registries. Rapid identification and treatment of newly diagnosed patients as well as the management of toxicities and complications remain challenging. We offer up-to-date information and guidance regarding treatment of APL. Based on a literature review of existing scientific evidence we also discuss the approach to high-risk, elderly, pregnant and pediatric patients, treatment in patients with renal failure as well as of therapy-related or relapsed/refractory APL.

Background About half of AML patients achieving complete remission (CR) display measurable residual disease (MRD) and eventually relapse. FLYSYN is an Fc-optimized antibody for eradication of MRD directed to FLT3/CD135, which is abundantly expressed on AML cells. Methods This first-in-human, open-label, single-arm, multicenter trial included AML patients in CR with persisting or increasing MRD and evaluated safety/tolerability, pharmacokinetics and preliminary efficacy of FLYSYN at different dose levels administered intravenously (cohort 1–5: single dose of 0.5 mg/m 2 , 1.5 mg/m 2 , 5 mg/m 2 , 15 mg/m 2 , 45 mg/m 2 ; cohort 6: 15 mg/m 2 on day 1, 15 and 29). Three patients were treated per cohort except for cohorts 4 and 6, which were expanded to nine and ten patients, respectively. Primary objective was safety, and secondary efficacy objective was ≥ 1 log MRD reduction or negativity in bone marrow. Results Overall, 31 patients were treated, of whom seven patients (22.6%) experienced a transient decrease in neutrophil count (two grade 3, others ≤ grade 2). No infusion-related reaction or dose-limiting toxicity was observed. Adverse events (AEs) were mostly mild to moderate, with the most frequent AEs being hematologic events and laboratory abnormalities. Response per predefined criteria was documented in 35% of patients, and two patients maintained MRD negativity until end of study. Application of 45 mg/m 2 FLYSYN as single or cumulative dose achieved objective responses in 46% of patients, whereas 28% responded at lower doses. Conclusions FLYSYN monotherapy is safe and well-tolerated in AML patients with MRD. Early efficacy data are promising and warrant further evaluation in an up-coming phase II trial. Trial registration This clinical is registered on clinicaltrials.gov (NCT02789254).

IntroductionProstate cancer is the second most common cancer in men worldwide. When the disease becomes resistant to androgen-deprivation therapy, treatment options are sparse. To address the high medical need in castration-resistant prostate cancer (CRPC), we generated a novel PSMAxCD3 bispecific antibody termed CC-1. CC-1 binds to prostate-specific membrane antigen that is expressed on prostate cancer cells and tumour vessels, thereby allowing a dual anticancer effect.Methods and analysisThis first in human clinical study is a prospective and multicentre trial which enrols patients with metastatic CRPC after failure of established third-line therapy. CC-1 is applied after prophylactic interleukin-6 receptor blockade with tocilizumab (once 8 mg/kg body weight). Each patient receives at least one cycle of CC-1 over a time course of 7 days in an inpatient setting. If clinical benefit is observed, up to five additional cycles of CC-1 can be applied. The study is divided in two parts: (1) a dose escalation phase with intraindividual dose increase from 28 µg to the target dose of 1156 µg based on a modified fast titration design by Simon et al to determine safety, tolerability and the maximum tolerated dose (MTD) as primary endpoints and (2) a dose expansion phase with additional 14 patients on the MTD level of part (1) to identify first signs of efficacy. Secondary endpoints compromise overall safety, tumour response, survival and a translational research programme with, among others, the analysis of CC-1 half-life, the induced immune response, as well as the molecular profiling in liquid biopsies.Ethics and disseminationThe PSMAxCD3 study was approved by the Ethics Committee of The University Hospital Tübingen (100/2019AMG1) and the Paul-Ehrlich-Institut (3684/02). Clinical trial results will be published in peer-reviewed journals.Trial registration numbersClinicalTrials.gov Registry (NCT04104607) and ClinicalTrials.eu Registry (EudraCT2019-000238-20).

Background Acute myeloid leukemia (AML) is a heterogeneous disease with a poor prognosis. Dysregulation of the epigenetic machinery is a significant contributor to disease development. Some AML patients benefit from treatment with hypomethylating agents (HMAs), but no predictive biomarkers for therapy response exist. Here, we investigated whether unbiased genome-wide assessment of pre-treatment DNA-methylation profiles in AML bone marrow blasts can help to identify patients who will achieve a remission after an azacytidine-containing induction regimen. Results A total of n  = 155 patients with newly diagnosed AML treated in the AMLSG 12-09 trial were randomly assigned to a screening and a refinement and validation cohort. The cohorts were divided according to azacytidine-containing induction regimens and response status. Methylation status was assessed for 664,227 500-bp-regions using methyl-CpG immunoprecipitation-seq, resulting in 1755 differentially methylated regions (DMRs). Top regions were distilled and included genes such as WNT10A and GATA3 . 80% of regions identified as a hit were represented on HumanMethlyation 450k Bead Chips. Quantitative methylation analysis confirmed 90% of these regions (36 of 40 DMRs). A classifier was trained using penalized logistic regression and fivefold cross validation containing 17 CpGs. Validation based on mass spectra generated by MALDI-TOF failed (AUC 0.59). However, discriminative ability was maintained by adding neighboring CpGs. A recomposed classifier with 12 CpGs resulted in an AUC of 0.77. When evaluated in the non-azacytidine containing group, the AUC was 0.76. Conclusions Our analysis evaluated the value of a whole genome methyl-CpG screening assay for the identification of informative methylation changes. We also compared the informative content and discriminatory power of regions and single CpGs for predicting response to therapy. The relevance of the identified DMRs is supported by their association with key regulatory processes of oncogenic transformation and support the idea of relevant DMRs being enriched at distinct loci rather than evenly distribution across the genome. Predictive response to therapy could be established but lacked specificity for treatment with azacytidine. Our results suggest that a predictive epigenotype carries its methylation information at a complex, genome-wide level, that is confined to regions, rather than to single CpGs. With increasing application of combinatorial regimens, response prediction may become even more complicated.

Background About 50% of older patients with acute myeloid leukemia (AML) fail to attain complete remission (CR) following cytarabine plus anthracycline-based induction therapy. Salvage chemotherapy regimens are based on high-dose cytarabine (HiDAC), which is frequently combined with mitoxantrone (HAM regimen). However, CR rates remain low, with less than one-third of the patients achieving a CR. FLT3 -ITD has consistently been identified as an unfavorable molecular marker in both relapsed and refractory (r/r)-AML. One-quarter of patients who received midostaurin are refractory to induction therapy and relapse rate at 2 years exceeds 40%. The oral second-generation bis-aryl urea tyrosine kinase inhibitor quizartinib is a very selective FLT3 inhibitor, has a high capacity for sustained FLT3 inhibition, and has an acceptable toxicity profile. Methods In this multicenter, upfront randomized phase II trial, all patients receive quizartinib combined with HAM (cytarabine 3g/m 2 bidaily day one to day three, mitoxantrone 10mg/m 2 days two and three) during salvage therapy. Efficacy is assessed by comparison to historical controls based on the matched threshold crossing approach with achievement of CR, complete remission with incomplete hematologic recovery (CRi), or complete remission with partial recovery of peripheral blood counts (CRh) as primary endpoint. During consolidation therapy (chemotherapy and allogeneic hematopoietic cell transplantation), patients receive either prophylactic quizartinib therapy or measurable residual disease (MRD)-triggered preemptive continuation therapy with quizartinib according to up-front randomization. The matched threshold crossing approach is a novel study-design to enhance the classic single-arm trial design by including matched historical controls from previous clinical studies. It overcomes common disadvantages of single-armed and small randomized studies, since the expected outcome of the observed study population can be adjusted based on the matched controls with a comparable distribution of known prognostic and predictive factors. Furthermore, balanced treatment groups lead to stable statistical models. However, one of the limitations of our study is the inability to adjust for unobserved or unknown confounders. Addressing the primary endpoint, CR/CRi/CRh after salvage therapy, the maximal sample size of 80 patients is assessed generating a desirable power of the used adaptive design, assuming a logistic regression is performed at a one-sided significance level α =0.05, the aspired power is 0.8, and the number of matching partners per intervention patient is at least 1. After enrolling 20 patients, the trial sample size will be recalculated in an interim analysis based on a conditional power argument. Conclusion Currently, there is no commonly accepted standard for salvage chemotherapy treatment. The objective of the salvage therapy is to reduce leukemic burden, achieve the best possible remission, and perform a hemopoietic stem-cell transplantation. Thus, in patients with FLT3 -ITD mutation, the comparison of quizartinib with intensive salvage therapy versus chemotherapy alone appears as a logical consequence in terms of efficacy and safety. Ethics and dissemination Ethical approval and approvals from the local and federal competent authorities were granted. Trial results will be reported via peer-reviewed journals and presented at conferences and scientific meetings. Trial registration ClinicalTrials.gov NCT03989713; EudraCT Number: 2018-002675-17.