Over the last decade, discovery of novel therapeutic method has been attention by the researchers and has changed the therapeutic perspective of hematological malignancies. Although NK cell play a pivotal role in the elimination of abnormal and cancerous cells, there are evidence that NK cell are disarm in hematological malignancy. Chimeric antigen receptor NK (CAR-NK) cell therapy, which includes the engineering of NK cells to detect tumor-specific antigens and, as a result, clear of cancerous cells, has created various clinical advantage for several human malignancies treatment. In the current review, we summarized NK cell dysfunction and CAR-NK cell based immunotherapy to treat AML patient.

UNASSIGNED: Infections represent one of the most frequent causes of death of higher-risk MDS patients, as reported previously also by our group. Azacitidine Infection Risk Model (AIR), based on red blood cell (RBC) transfusion dependency, neutropenia <0.8 × 109/L, platelet count <50 × 109/L, albumin <35g/L, and ECOG performance status ≥2 has been proposed based on the retrospective data to estimate the risk of infection in azacitidine treated patients.
UNASSIGNED: The prospective non-intervention study aimed to identify factors predisposing to infection, validate the AIR score, and assess the impact of antimicrobial prophylaxis on the outcome of azacitidine-treated MDS/AML and CMML patients.
UNASSIGNED: We collected data on 307 patients, 57.6 % males, treated with azacitidine: AML (37.8%), MDS (55.0%), and CMML (7.1%). The median age at azacitidine treatment commencement was 71 (range, 18-95) years. 200 (65%) patients were assigned to higher risk AIR group. Antibacterial, antifungal, and antiviral prophylaxis was used in 66.0%, 29.3%, and 25.7% of patients, respectively. In total, 169 infectious episodes (IE) were recorded in 118 (38.4%) patients within the first three azacitidine cycles. In a multivariate analysis ECOG status, RBC transfusion dependency, IPSS-R score, and CRP concentration were statistically significant for infection development (p < 0.05). The occurrence of infection within the first three azacitidine cycles was significantly higher in the higher risk AIR group - 47.0% than in lower risk 22.4% (odds ratio (OR) 3.06; 95% CI 1.82-5.30, p < 0.05). Administration of antimicrobial prophylaxis did not have a significant impact on all-infection occurrence in multivariate analysis: antibacterial prophylaxis (OR 0.93; 0.41-2.05, p = 0.87), antifungal OR 1.24 (0.54-2.85) (p = 0.59), antiviral OR 1.24 (0.53-2.82) (p = 0.60).
UNASSIGNED: The AIR Model effectively discriminates infection-risk patients during azacitidine treatment. Antimicrobial prophylaxis does not decrease the infection rate.

UNASSIGNED: This study aims to elucidate the clinical features observed in cases of pediatric acute myeloid leukemia (AML) initially presenting with cardiac tamponade and to share treatment experiences.
UNASSIGNED: Five pediatric patients were initially diagnosed with AML accompanied by cardiac myeloid sarcoma (MS). The diagnosis was established by examining our hospital records and reviewing pertinent literature from 1990 to July 2023, accessible through MEDLINE/PubMed. We comprehensively assessed the clinical characteristics and treatment modalities employed for these patients.
UNASSIGNED: Five pediatric patients presented with acute symptoms, including shortness of breath, malaise, cough, and fever, leading to their hospitalization. Physical examination revealed irritability, hypoxia, tachypnea, tachycardia, and hypotension. Initial detection utilized chest X-ray or echocardiogram, leading to subsequent diagnoses based on pericardial effusion and/or bone marrow examination. Two patients received chemotherapy at the time of initial diagnosis, one with cytarabine and etoposide, and the other with cytarabine and cladribine. Post-treatment, their bone marrow achieved remission, and over a 2.5-year follow-up, their cardiac function remained favorable. Unfortunately, the remaining three patients succumbed within two weeks after diagnosis, either due to receiving alternative drugs or without undergoing chemotherapy.
UNASSIGNED: This is the first and largest case series of pediatric AML patients with cardiac MS, manifesting initially with cardiac tamponade. It highlights the rarity and high mortality associated with this condition. The critical factors for reducing mortality include identifying clinical manifestations, conducting thorough physical examinations, performing echocardiography promptly, initiating early and timely pericardial drainage, and avoiding cardiotoxic chemotherapy medications.

BACKGROUND: Acute myeloid leukemia, constituting a majority of leukemias, grapples with a 24% 5-year survival rate. Recent strides in research have unveiled fresh targets for drug therapies. LIM-only, a pivotal transcription factor within LIM proteins, oversees cell development and is implicated in tumor formation. Among these critical LIM proteins, CSRP1, a Cysteine-rich protein, emerges as a significant player in various diseases. Despite its recognition as a potential prognostic factor and therapeutic target in various cancers, the specific link between CSRP1 and acute myeloid leukemia remains unexplored. Our previous work, identifying CSRP1 in a prognostic model for AML patients, instigates a dedicated exploration into the nuanced role of CSRP1 in acute myeloid leukemia.
METHODS: R tool was conducted to analyze the public data. qPCR was applied to evaluate the expression of CSRP1 mRNA for clinical samples and cell line. Unpaired t test, Wilcoxon Rank Sum test, KM curves, spearman correlation test and Pearson correlation test were included in this study.
RESULTS: CSRP1 displays notable expression variations between normal and tumor samples in acute myeloid leukemia (AML). It stands out as an independent prognostic factor for AML patients, showing correlations with clinical factors like age and cytogenetics risk. Additionally, CSRP1 correlates with immune-related pathways, immune cells, and immune checkpoints in AML. Furthermore, the alteration of CSRP1 mRNA levels is observed upon treatment with a DNMT1 inhibitor for THP1 cells.
CONCLUSIONS: The CSRP1 has potential as a novel prognostic factor and appears to influence the immune response in acute myeloid leukemia. Additionally, there is an observed association between CSRP1 and DNA methylation in acute myeloid leukemia.

OBJECTIVE: Acute myeloid leukemia (AML) is a myeloproliferative neoplasm marked by abnormal clonal expansion of hematopoietic progenitor cells, displaying karyotypic aberrations and genetic mutations as prognostic indicators. The World Health Organization (WHO) and the European LeukemiaNet guidelines categorize BCR::ABL1 p190+ AML as high risk. This study explored the identification of the increased incidence of BCR::ABL1 p190+ in our AML population.
METHODS: This study included 96 AML patients stratified according to WHO guidelines. Subsequently, patients were screened for genetic abnormalities, such as BCR::ABL1 p 190+, PML::RARA, RUNX1::RUNX1T1, and CBFB::MYH11 by quantitative reverse transcription polymerase chain reaction (RT-qPCR) analysis.
RESULTS: Among 96 AML patients, 36 displayed BCR::ABL1 p190+, overcoming the expected global incidence. Age variations (19 to 78 years) showed no significant laboratory differences between BCR::ABL1 p190+ and non-BCR::ABL p190+ cases. The overall survival analysis revealed no statistically significant differences among the patients (p=0.786).
CONCLUSIONS: The analyzed population presented a higher frequency of BCR::ABL1 p190+ detection in adult AML patients when compared to what is described in the worldwide literature. Therefore, more studies are needed to establish the reason why this incidence is higher and what the best treatment approach should be in these cases.

BACKGROUND: Serious illness conversations may help patients avoid unwanted treatments. We previously piloted the telehealth Serious Illness Care Program (SICP) for older adults with acute myeloid leukemia and myelodysplastic syndrome.
OBJECTIVE: In this study, we aimed to understand the experience of the telehealth SICP from the clinician\'s perspective.
METHODS: We studied 10 clinicians who delivered the telehealth SICP to 20 older adults with acute myeloid leukemia or myelodysplastic syndrome. Quantitative outcomes included confidence and acceptability. Confidence was measured using a 22-item survey (range 1-7; a higher score is better). Acceptability was measured using an 11-item survey (5-point Likert scale). Hypothesis testing was performed at α=.10 (2-tailed) due to the pilot nature and small sample size. Clinicians participated in audio-recorded qualitative interviews at the end of the study to discuss their experience.
RESULTS: A total of 8 clinicians completed the confidence measure and 7 clinicians completed the acceptability measure. We found a statistically significant increase in overall confidence (mean increase of 0.5, SD 0.6; P=.03). The largest increase in confidence was in helping families with reconciliation and goodbye (mean 1.4, SD 1.5; P=.04). The majority of clinicians agreed that the format was simple (6/7, 86%) and easy to use (6/7, 86%). Clinicians felt that the telehealth SICP was effective in understanding their patients\' values about end-of-life care (7/7, 100%). A total of three qualitative themes emerged: (1) the telehealth SICP deepened relationships and renewed trust; (2) each telehealth SICP visit felt unique and personal in a positive way; and (3) uninterrupted, unrushed time optimized the visit experience.
CONCLUSIONS: The telehealth SICP increased confidence in having serious illness conversations while deepening patient-clinician relationships.
BACKGROUND: ClinicalTrials.gov NCT04745676; https://www.clinicaltrials.gov/study/NCT04745676.

Genetic association between SUMO-specific protease 1 (SENP1) and acute myeloid leukemia (AML) has been validated. However, the mechanism by which SENP1 affects AML proliferation, apoptosis, and autophagy remains unknown. The levels of SENP1 and polypyrimidine tract-binding protein 1 (PTBP1) were measured in AML patients, AML cell lines, and xenograft tissues. The effects of SENP1 on AML proliferation, apoptosis, and BECN1-dependent autophagy were assessed through in vitro and in vivo loss- or gain-of-function experiments. SUMOylation analysis using immunoprecipitation (IP), RNA pull-down, RIP, and RNA stability assays were used to explore the molecular mechanism of SENP1 in AML development. The SENP1 level was elevated in AML samples. Silencing SENP1 impeded the development of AML, as evidenced by the inhibition of proliferation and promotion of G1 phase arrest and apoptosis resulting from SENP1 depletion in AML cells. Moreover, silencing of SENP1 restrained BECN1-depentent autophagy in AML cells. In addition, the overexpression of BECN1 or PTBP1 partially neutralized the effect of SENP1 knockdown on AML cell behavior. Mechanistically, SENP1 mediated PTBP1 deSUMOylation, which then directly interacted with BECN1 mRNA and enhanced its stability. In vivo experiments further confirmed the repressive effects of SENP1 suppression on AML development. Collectively, the SENP1/PTBP1/BECN1 signaling axis has been identified as a significant therapeutic target for enhancing AML treatment.

Acute myeloid leukemia (AML) is a common and catastrophic hematological neoplasm with high mortality rates. Conventional therapies, including chemotherapy, hematopoietic stem cell transplantation (HSCT), immune therapy, and targeted agents, have unsatisfactory outcomes for AML patients due to drug toxicity, off-target effects, drug resistance, drug side effects, and AML relapse and refractoriness. These intrinsic limitations of current treatments have promoted the development and application of nanomedicine for more effective and safer leukemia therapy. In this review, the classification of nanoparticles applied in AML therapy, including liposomes, polymersomes, micelles, dendrimers, and inorganic nanoparticles, is reviewed. In addition, various strategies for enhancing therapeutic targetability in nanomedicine, including the use of conjugating ligands, biomimetic-nanotechnology, and bone marrow targeting, which indicates the potential to reverse drug resistance, are discussed. The application of nanomedicine for assisting immunotherapy is also involved. Finally, the advantages and possible challenges of nanomedicine for the transition from the preclinical phase to the clinical phase are discussed.

Understanding the global epidemiology of AML is critical for assessing therapeutic demand and informing healthcare resource allocation. This study estimated current and future AML incidence in 27 countries, described AML survival trends in the United States, and calculated average years of life lost (AYLL). Incidence rates were age-standardized using rates from IARC\'s Cancer Incidence in Five Continents and SEER databases and ranged from 0.70 to 3.23 cases per 100,000 persons. Crude incidence rates were projected from 2024 to 2040; growth varied from +1% to +46%. Median overall survival was derived from SEER databases and increased from 4 to 11 months over the last 40 years. Median AYLL of 18.6 years was estimated for 27 countries. This study projected significant growth in new AML diagnoses over the next two decades. Despite improvements in survival over the last four decades, median survival among AML patients remains poor highlighting the need for novel treatments.

Acute myeloid leukemia (AML) is a heterogenous blood cancer with a dismal prognosis. It emanates from leukemic stem cells (LSCs) arising from the genetic transformation of hematopoietic stem cells (HSCs). LSCs hold prognostic value, but their molecular and immunophenotypic heterogeneity poses challenges: there is no single marker for identifying all LSCs across AML samples. We hypothesized that imaging flow cytometry (IFC) paired with artificial intelligence-driven image analysis could visually distinguish LSCs from HSCs based solely on morphology. Initially, a seven-color IFC panel was employed to immunophenotypically identify LSCs and HSCs in bone marrow samples from five AML patients and ten healthy donors, respectively. Next, we developed convolutional neural network (CNN) models for HSC-LSC discrimination using brightfield (BF), side scatter (SSC), and DNA images. Classification using only BF images achieved 86.96% accuracy, indicating significant morphological differences. Accuracy increased to 93.42% when combining BF with DNA images, highlighting differences in nuclear morphology, although DNA images alone were inadequate for accurate HSC-LSC discrimination. Model development using SSC images revealed minor granularity differences. Performance metrics varied substantially between AML patients, indicating considerable morphologic variations among LSCs. Overall, we demonstrate proof-of-concept results for accurate CNN-based HSC-LSC differentiation, instigating the development of a novel technique within AML monitoring.