Prognosis Of Acute Myeloid Leukemia Patients Research Articles

The Expression and Clinical Significance of USF1 in Newly Diagnosed Acute Myeloid Leukemia.

This study aimed to assess the expression level of upstream stimulator 1 (USF1) in the bone marrow of newly diagnosed acute myeloid leukemia (AML) patients and investigate its clinical and prognostic significance. Bone marrow samples from 60 newly diagnosed AML patients constituted the observation group, while 20 samples from healthy individuals formed the control group. Real-time quantitative PCR (qRT-PCR) was used to measure the USF1 expression in both groups and to analyze its correlation with clinicopathological features and prognosis in AML patients. Kaplan-Meier curves were utilized to assess the impact of USF1 on the overall survival (OS) in AML patients. The prognostic factors of AML were examined by using Cox regression analysis. A univariate analysis revealed a significantly higher USF1 expression in the AML patients compared to the control group (p < 0.001), with no difference in the clinicopathological features between the low-expression group and the control group. However, there was a significant difference between the high-expression group and the control group (p < 0.01). Moreover, the OS of the high USF1 expression group was notably shorter than of the low USF1 expression group (p < 0.0001). A multivariate analysis identified high USF1 expression and age ≥ 60 years as independent risk factors for a poor AML prognosis. High expression of USF1 is linked to a worse prognosis and shorter survival time in AML patients. USF1 may serve as an indicator of prognosis and survival in AML patients and could be a potential target for AML treatment.

Machine learning-based biomarker screening for acute myeloid leukemia prognosis and therapy from diverse cell-death patterns

Acute myeloid leukemia (AML) exhibits pronounced heterogeneity and chemotherapy resistance. Aberrant programmed cell death (PCD) implicated in AML pathogenesis suggests PCD-related signatures could serve as biomarkers to predict clinical outcomes and drug response. We utilized 13 PCD pathways, including apoptosis, pyroptosis, ferroptosis, autophagy, necroptosis, cuproptosis, parthanatos, entotic cell death, netotic cell death, lysosome-dependent cell death, alkaliptosis, oxeiptosis, and disulfidptosis to develop predictive models based on 73 machine learning combinations from 10 algorithms. Bulk RNA-sequencing, single-cell RNA-sequencing transcriptomic data, and matched clinicopathological information were obtained from the TCGA-AML, Tyner, and GSE37642-GPL96 cohorts. These datasets were leveraged to construct and validate the models. Additionally, in vitro experiments were conducted to substantiate the bioinformatics findings. The machine learning approach established a 6-gene pan-programmed cell death-related genes index (PPCDI) signature. Validation in two external cohorts showed high PPCDI associated with worse prognosis in AML patients. Incorporating PPCDI with clinical variables, we constructed several robust prognostic nomograms that accurately predicted prognosis of AML patients. Multi-omics analysis integrating bulk and single-cell transcriptomics revealed correlations between PPCDI and immunological features, delineating the immune microenvironment landscape in AML. Patients with high PPCDI exhibited resistance to conventional chemotherapy like doxorubicin but retained sensitivity to dasatinib and methotrexate (FDA-approved drugs for other leukemias), suggesting the potential of PPCDI to guide personalized therapy selection in AML. In summary, we developed a novel PPCDI model through comprehensive analysis of diverse programmed cell death pathways. This PPCDI signature demonstrates great potential in predicting clinical prognosis and drug sensitivity phenotypes in AML patients.

Changes in Serum HOXA9 , PCⅢ, SE-CAD Levels in AML Patients after Chemotherapy with DCAG Regimen and Their Relationship with Prognosis

To investigate the changes in serum homeobox A9 (HOXA9 ), soluble E-cadherin (SE-CAD) and type Ⅲ procollagen (PCⅢ) levels in acute myeloid leukemia (AML) patients after chemotherapy with DCAG regimen and their relationship with prognosis. The clinical data of 80 patients with relapsed/refractory AML diagnosed and treated in our hospital from March 2018 to December 2021 were retrospectively analyzed. According to different treatment regimen, the patients were divided into DCAG group (n=40) and CAG group (n=40). The clinical efficacy and changes of HOXA9 , SE-CAD and PCⅢ levels before and after treatment were compared. In addition, all patients were divided into remission group (n=58) and non-remission group (n=22) according to the clinical efficacy. Univariate and multivariate analyses were performed to analyze the risk factors affecting the prognosis of AML patients. The predictive efficacy of the three single indicators, HOXA9 , SE-CAD, and PC III, and their combination on prognosis was analyzed. Compared with before treatment, the levels of HOXA9 , SE-CAD and PCⅢ in both the DCAG and CAG groups were decreased after treatment, and the improvement of each indicator and the clinical efficacy in the DCAG group were significantly better than those in the CAG group (all P < 0.05). Multivariate analysis showed that increased bone marrow blast count, HOXA9 mRNA, SE-CAD and PCⅢ levels were independent risk factors affecting the efficacy of chemotherapy in AML patients (all P < 0.05). ROC curves showed that the combination of HOXA9 mRNA, SE-CAD and PCIII could effectively predict the prognosis of AML patients, with a sensitivity of 84.80% and a specificity of 88.20%. DCAG regimen can significantly improve the levels of HOXA9 mRNA, SE-CAD and PCⅢ in AML patients, these three indicators are all independent risk factors affecting the prognosis of AML patients, and the combination of the three indicators can effectively predict the prognosis of the patients.

Expression of lncRNA UCA1 in Acute Myeloid Leukemia Patients and Its Clinical Significance

To investigate the expression level of urothelial carcinoembryonic antigen 1 (lncRNA UCA1) in the bone marrow of acute myeloid leukemia (AML) patients, and to explore the clinical significance of lncRNA UCA1 expression level in AML patients. Bone marrow samples of 50 AML patients were collected as experimental group, and bone marrow samples of 20 iron deficiency anemia (IDA) patients were collected as control group. The relevant clinicopathological characteristics of AML patients were collected. Real-time quantitative PCR (qRT-PCR) was used to detect the expression level of lncRNA UCA1 in the experimental and control groups, and the relationships between lncRNA UCA1 expression and clinical pathological characteristics and prognosis in AML patients were analyzed. Kaplan-Meier curves were used to analyze the effect of lncRNA UCA1 on the overall survival (OS) of AML patients; And Cox regression model was used to analyze the factors affecting the prognosis of AML patients. Compared with the control group, the expression level of lncRNA UCA1 was significantly elevated in patients with AML (P < 0.001); The proportion of patients with hemoglobin lower than 90 g/L in lncRNA UCA1 high expression group was significantly higher than that in lncRNA UCA1 low expression group (P =0.004); The expression level of lncRNA UCA1 was higher in M1, M2, and M4 subtypes, while it was lower in M0 and M5 subtypes, and the difference was statistically significant (P =0.009). There were no significant difference in sex, age, white blood cell (WBC) count, platelet (PLT) count, bone marrow blasts , chemotherapy regimen and efficacy, karyotype, gene mutation, and prognostic risk stratification between patients in UCA1 high expression group and those in UCA1 low expression group (all P > 0.05). The OS of patients with high expression of lncRNA UCA1 was significantly shorter than that of patients with low expression of lncRNA UCA1 (P =0.0229). The expression level of lncRNA UCA1 is significantly upregulated in AML patients. High expression of lncRNA UCA1 is associated with poor clinicopathological features and poor prognosis. Therefore, lncRNA UCA1 can be used as a prognostic indicator and a potential therapeutic target for AML patients.

Targeting SLFN11-Regulated Pathways Restores Chemotherapy Sensitivity in AML

Chemoresistance represents an ongoing challenge in treating patients with acute myeloid leukemia (AML) and a better understanding of resistance mechanisms can lead to the development of novel AML therapies. Here we demonstrate that low expression of the DNA damage response gene Schlafen 11 (SLFN11) correlates with poor overall survival and worse prognosis in AML patients. Moreover, we show that SLFN11 plays an essential role in regulating chemotherapy sensitivity in AML. AML cells with suppressed levels of SLFN11 do not undergo apoptosis in response to cytarabine due to aberrant activation of the ATR/Chk1 pathway allowing for DNA damage repair, while sensitivity to cytarabine can be restored by inhibiting the ATR pathway. Importantly, SLFN11 knockout AML cells retain sensitivity to hypomethylating agents and the BCL-2 inhibitor venetoclax. Altogether, these results reveal SLFN11 as an important regulator and predictor of chemotherapy sensitivity in AML and suggest that targeting pathways suppressed by SLFN11 may offer potential combination therapies to enhance and optimize chemotherapy responses in AML.

Analysis of Factors Influencing Overall Survival and Prognosis of AML Patients Over 50 Years Old

To explore the overall survival and prognostic factors of patients over 50 years old with acute myeloid leukemia (AML). The clinical data of 222 AML patients aged over 50 years in our hospital from January 2016 and June 2021 were retrospectively analyzed. Kaplan-Meier method was used to evaluate the overall survival (OS) rate, and Cox regression model to evaluate the prognostic factors. The 1-year and 3-year OS rates of all patients were 46.8% and 28.8%, respectively. The recurrence rate of patients who achieved remission during follow-up time was 57%. Both univariate and multivariate analysis showed that advanced age, MLL family fusion gene, PHF6 gene mutation, TP53 gene mutation, intolerance to standard chemotherapy, incomplete remission, complex karyotype, +mar karyotype and inv(3) karyotype were significantly correlated with prognosis (all P <0.05). Negative fusion gene and positive AML- ETO fusion gene had no obvious survival advantage in this population. In patients with complete remission, there was no significant survival advantage in those who achieved minimal residual disease negative. AML patients aged over 50 years have a poor outcome and high recurrence rate. The prognosis is affected by multiple factors and has its own characteristics.

ITGAM sustains MAPK signaling and serves as an adverse prognostic factor and therapeutic target in acute myeloid leukemia.

Acute myeloid leukemia (AML) is the second most frequently occurring type of leukemia in adults. Despite breakthroughs in genetics, the prognosis of AML patients remains dismal. The aim of this study is to find new therapeutic targets and diagnostic markers for AML and to explore their mechanisms of action. The expression patterns of integrin subunit alpha M (ITGAM) were investigated across different cell types using the Human Protein Atlas (HPA) database. The ITGAM levels across cancer types were analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA) database. Prognostic correlations in AML individuals were evaluated using The Cancer Genome Atlas (TGCA) database. ITGAM-associated functions were evaluated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The AML cells were transfected with short-hairpin RNA targeting ITGAM or a control, and subsequently subjected to analysis in order to ascertain the impact of ITGAM on proliferation and apoptosis. The expression of ITGAM was significantly higher in the AML patient samples compared to the control samples. High ITGAM expression was significantly associated with poor overall survival (OS). The knockdown of ITGAM in the AML cells resulted in a decrease in proliferation and an increase in apoptosis. This was accompanied by cell cycle arrest at the G1 phase and a downregulation of protein production for cyclin D1, cyclin E1, cyclin-dependent kinase 2 (CDK2), and cyclin-dependent kinase 4 (CDK4). A pathway analysis and a western blot analysis revealed that ITGAM positively regulated mitogen-activated protein kinase (MAPK) signaling by silencing attenuated p38 MAPK (P38), c-Jun N-terminal kinase (JNK), and extracellular signal-regulated kinase (ERK) phosphorylation, while the total protein levels remained unchanged. ITGAM can serve as a potential prognostic biomarker and therapeutic target for AML. ITGAM production was elevated in AML and indicated poor survival. Silencing ITGAM suppressed AML cell viability and induced apoptosis by blocking cell cycle progression, likely by impeding the activation of the MAPK pathway. Further investigations that directly target the ITGAM-MAPK axis may offer novel strategies for mitigating AML pathogenesis and overcoming chemotherapy resistance.

Pathogenic spectrum and drug resistance of bloodstream infection in patients with acute myeloid leukaemia: a single centre retrospective study.

Bloodstream infection (BSI) represent a prevalent complication in haematological malignancies (HMs). Typically, Patients with BSI usually undergo empirical treatment pending pathogen identification. The timely and effective management of BSIs significantly influences patient prognosis. However, pathogen distribution in BSIs exhibits regional variation. In this study, we investigated the clinical characteristics, pathogen spectrum, drug resistance, risk factors of short-term prognosis and long-term prognostic factors of acute myeloid leukemia (AML) patients with BSI at Zhejiang Provincal People's Hospital. From 2019 to 2021, a total of 56 AML patients with BSI were treated in the Department of Haematology at Zhejiang Province People's Hospital. Data regarding pathogen spectrum and drug resistance were collected for analysis. The patients were stratified into non-survivor cohort and survivor cohort within 30 days after BSI, and the predictors of 30-days mortality were identified through both univariate and multivariate Logistic regression analyses. Furthermore, Kaplan-Meier survival analysis and Cox regression analysis were employed to ascertain the risk factors associated with poor prognosis in AML patients complicated by BSI. A total of 70 strains of pathogenic bacteria were isolated from 56 AML patients with BSI. Gram-negative bacteria constituted the predominant pathogens (71.4%), with Klebsiella pneumoniae being the most prevalent (22.9%). Gram-positive bacteria and fungi accounted for 22.9% and 5.7%, respectively. Univariate and multivariate analyses revealed significant differences in total protein, albumin levels, and the presence of septic shock between the non-survivor cohort and the survior cohort 30 days post-BSI. COX regression analysis showed that agranulocytosis duration exceeding 20 days (HR:3.854; 95% CI: 1.451-10.242) and septic shock (HR:3.788; 95% CI: 1.729-8.299) were independent risk factors for poor prognosis in AML patients complicated by BSI. Notably, the mortality rate within 30 days after Stenotrophomonas maltophilia infection was up to 71.4%. In this study, Gram-negative bacteria, predominantly Klebsiella pneumoniae, constituted the primary pathogens among AML patients with BSIs. Serum albumin levels and the presence of septic shock emerged as independent risk factors for mortality within 30 days among AML patients with BSI. In terms of long-term prognosis, extended agranulocytosis duration exceeding 20 days and septic shock were associated with elevated mortality rates in AML patients with BSI. Additionally, in our centre, Stenotrophomonas maltophilia infection was found to be associated with a poor prognosis. Early intervention for Stenotrophomonas maltophilia infection in our centre could potentially improve patient outcomes.

Lysosome-related genes predict acute myeloid leukemia prognosis and response to immunotherapy.

Acute myeloid leukemia (AML) is a highly aggressive and pathogenic hematologic malignancy with consistently high mortality. Lysosomes are organelles involved in cell growth and metabolism that fuse to form specialized Auer rods in AML, and their role in AML has not been elucidated. This study aimed to identify AML subtypes centered on lysosome-related genes and to construct a prognostic model to guide individualized treatment of AML. Gene expression data and clinical data from AML patients were downloaded from two high-throughput sequencing platforms. The 191 lysosomal signature genes were obtained from the database MsigDB. Lysosomal clusters were identified by unsupervised consensus clustering. The differences in molecular expression, biological processes, and the immune microenvironment among lysosomal clusters were subsequently analyzed. Based on the molecular expression differences between lysosomal clusters, lysosomal-related genes affecting AML prognosis were screened by univariate cox regression and multivariate cox regression analyses. Algorithms for LASSO regression analyses were employed to construct prognostic models. The risk factor distribution, KM survival curve, was applied to evaluate the survival distribution of the model. Time-dependent ROC curves, nomograms and calibration curves were used to evaluate the predictive performance of the prognostic models. TIDE scores and drug sensitivity analyses were used to explore the implication of the model for AML treatment. Our study identified two lysosomal clusters, cluster1 has longer survival time and stronger immune infiltration compared to cluster2. The differences in biological processes between the two lysosomal clusters are mainly manifested in the lysosomes, vesicles, immune cell function, and apoptosis. The prognostic model consisting of six prognosis-related genes was constructed. The prognostic model showed good predictive performance in all three data sets. Patients in the low-risk group survived significantly longer than those in the high-risk group and had higher immune infiltration and stronger response to immunotherapy. Patients in the high-risk group showed greater sensitivity to cytarabine, imatinib, and bortezomib, but lower sensitivity to ATRA compared to low -risk patients. Our prognostic model based on lysosome-related genes can effectively predict the prognosis of AML patients and provide reference evidence for individualized immunotherapy and pharmacological chemotherapy for AML.

High STAT4 expression correlates with poor prognosis in acute myeloid leukemia and facilitates disease progression by upregulating VEGFA expression.

The aim of our study is to explore the mechanism of transcription-4 (STAT4) in acute myeloid leukemia (AML). STAT4 level in AML bone marrow samples/cells was analyzed using bioinformatics and quantitative real-time PCR. The correlation between high STAT4 expression and the prognosis of AML patients was analyzed. The viability, apoptosis, and angiogenesis of AML cells were detected. The levels of STAT4, vascular endothelial growth factor A (VEGFA), and apoptosis-related proteins (Bcl-2 and Bax) in transfected AML cells were examined. STAT4 level was upregulated in AML. STAT4 silencing decreased the viability and angiogenesis, yet increased the apoptosis of AML cells, while overexpressed STAT4 did conversely. VEGFA silencing counteracted the impacts of overexpressed STAT4 upon promoting viability and angiogenesis as well as repressing the apoptosis of AML cells. High STAT4 expression was correlated with poor prognosis of AML patients and facilitated disease progression via upregulating VEGFA expression.

Clinical prognostic value of different NPM1 mutations in acute myeloid leukemia patients.

Acute myeloid leukemia (AML) patients with various nucleophosmin 1 (NPM1) mutations are controversial in the prognosis. This study aimed to investigate the prognosis of patients according to types of NPM1 mutations (NPM1mut). Bone marrow samples of 528 patients newly diagnosed with AML, were collected for morphology, immunology, cytogenetics, and molecular biology examinations. Gene mutations were detected by next-generation sequencing (NGS) technology. About 25.2% of cases exhibited NPM1mut. 83.5% of cases were type A, while type B and D were respectively account for 2.3% and 3.0%. Furthermore, 15 cases of rare types were identified, of which 2 cases have not been reported. Clinical characteristics were similar between patients with A-type NPM1 mutations (NPM1A - type mut) and non-A-type NPM1 mutations (NPM1non - A-type mut). Event-free survival (EFS) was significantly different between patients with low NPM1non - A-type mut variant allele frequency (VAF) and low NPM1A - type mut VAF (median EFS = 3.9 vs. 8.5 months, P = 0.020). The median overall survival (OS) of the NPM1non - A-type mutFLT3-ITDmut group, the NPM1A - type mutFLT3-ITDmut group, the NPM1non - A-type mutFLT3-ITDwt group, and the NPM1A - type mutFLT3-ITDwt group were 3.9, 10.7, 17.3 and 18.8 months, while the median EFS of the corresponding groups was 1.4, 5.0, 7.6 and 9.2 months (P < 0.0001 and P = 0.004, respectively). No significant difference was observed in OS and EFS between patients with NPM1A - type mut and NPM1non - A-type mut. However, types of NPM1 mutations and the status of FLT3-ITD mutations may jointly have an impact on the prognosis of AML patients.

UBE2C promotes the proliferation of acute myeloid leukemia cells through PI3K/AKT activation

This study aims to investigate the role and mechanism of tubiquitin-conjugating enzyme E2 C (UBE2C) in acute myeloid leukemia (AML). Initially, UBE2C expression in leukemia was analyzed using the Cancer Genome Atlas database. Further, we silenced UBE2C expression using small-hairpin RNA (sh-RNA). UBE2C expression was detected via the quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) and Western blot analysis. Apoptotic events and reactive oxygen species (ROS) levels were detected by flow cytometry. A xenograft model of leukemia cells were established, and the protein levels of UBE2C, KI-67, and cleaved-caspase 3 were detected by immunohistochemistry. We reported an overexpression of UBE2C in leukemia patients and cell lines (HL60, THP-1, U937, and KG-1 cells). Moreover, a high expression level of UBE2C was correlated with a dismal prognosis in AML patients. UBE2C knockdown inhibited the viability and promoted apoptosis in AML cells by regulating the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT) signaling pathway. Furthermore, UBE2C knockdown increased cellular Fe2+ and ROS levels, and enhanced erastin-induced ferroptosis in a proteasome-dependent manner. UBE2C knockdown also suppressed the tumor formation of AML cells in the mouse model. In summary, our findings suggest that UBE2C overexpression promotes the proliferation and inhibits ferroptosis in AML cells by activating the PI3K/AKT pathway.

A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia

BackgroundImmunogenic cell death (ICD) is closely related to anti-tumor therapy and regulates the tumor microenvironment (TME). This study aims to explore the molecular characteristics of ICD in acute myeloid leukemia (AML) and to analyze the value of ICD-related biomarkers in TME indication, prognosis prediction, and treatment response evaluation in AML.MethodsSingle-sample gene set enrichment analysis was used to calculate the ICD score. LASSO regression was used to construct a prognostic risk score model. We also analyzed differences in clinical characteristics, immune landscape, immunotherapy response, and chemotherapy sensitivity between high-risk and low-risk patients.ResultsThis study identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune landscape between different ICD subtypes. Subsequently, a novel ICD-related prognostic risk score model was developed, which accurately predicted the prognosis of AML patients and was validated in nine AML cohorts. Moreover, there were significant correlations between risk scores and clinicopathological factors, somatic mutations, TME characteristics, immune cell infiltration, immunotherapy response, and chemosensitivity. We further validated the model gene expression in a clinically real-world cohort.ConclusionsThe novel ICD-related signatures identified and validated by us can serve as promising biomarkers for predicting clinical outcomes, chemotherapy sensitivity, and immunotherapy response in AML patients, guiding the establishment of personalized and accurate treatment strategies for AML.Graphical

Duocarmycin SA Reduces Proliferation and Increases Apoptosis in Acute Myeloid Leukemia Cells In Vitro.

Acute myeloid leukemia (AML) is a hematological malignancy that is characterized by an expansion of immature myeloid precursors. Despite therapeutic advances, the prognosis of AML patients remains poor and there is a need for the evaluation of promising therapeutic candidates to treat the disease. The objective of this study was to evaluate the efficacy of duocarmycin Stable A (DSA) in AML cells in vitro. We hypothesized that DSA would induce DNA damage in the form of DNA double-strand breaks (DSBs) and exert cytotoxic effects on AML cells within the picomolar range. Human AML cell lines Molm-14 and HL-60 were used to perform 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide (MTT), DNA DSBs, cell cycle, 5-ethynyl-2-deoxyuridine (EdU), colony formation unit (CFU), Annexin V, RNA sequencing and other assays described in this study. Our results showed that DSA induced DNA DSBs, induced cell cycle arrest at the G2M phase, reduced proliferation and increased apoptosis in AML cells. Additionally, RNA sequencing results showed that DSA regulates genes that are associated with cellular processes such as DNA repair, G2M checkpoint and apoptosis. These results suggest that DSA is efficacious in AML cells and is therefore a promising potential therapeutic candidate that can be further evaluated for the treatment of AML.

Effects of BMAL2 on Aerobic Glycolysis and Cell Proliferation in Acute Myeloid Leukemia Cells

To explore the expression of basic helix-loop-helix ARNT like 2 (BMAL2) in acute myeloid leukemia (AML) patients and its correlation with prognosis, and analyze its effects on the aerobic glycolysis and proliferation of AML cells. The expressions of BMAL2 in bone marrow mononuclear cells (BMMCs) of AML patients and normal control group were detected by RT-qPCR. The correlation of BMAL2 expression with prognosis of AML patients was analyzed using public database of National Center for Biotechnology Information (NCBI). The interfering in BMAL2 expression of HL-60 and Kasumi-1 cells was performed using lentiviral vector-mediated shRNA. Cell glucose metabolism and proliferation were detected by using glucose uptake experiment, lactate content test, CCK-8 assay and cell colony formation test. The expression level of BMAL2 mRNA in BMMCs of AML patients was significantly higher than normal control group (P < 0.01). The overall survival time of AML patients with high expression of BMAL2 was significantly shorter than those with low expression of BMAL2 (P < 0.05). Knockdown of BMAL2 significantly reduced glucose uptake and lactate production in AML cell line HL-60 and Kasumi-1 cells. The results of RT-PCR and Western blot showed that BMAL2 promoted aerobic glycolysis by enhancing the expression of HIF1A in AML cells, thereby promoting cell proliferation. BMAL2 is highly expressed in AML patients, and promotes aerobic glycolysis by enhancing the expression of HIF1A, thereby promoting cell proliferation.

Abstract 6322: CCTx-001 CAR T-cells targeting the AML specific antigen IL-1RAP show robust pre-clinical anti-tumor efficacy

Abstract Despite significant advancements in acute myeloid leukemia (AML) treatment, patients with relapsed/refractory (r/r) AML have limited therapeutic options. Novel approaches are urgently needed. CAR T-cell therapy has shown remarkable success in hematological malignancies. However, its application in AML has been hampered by the absence of highly AML-specific antigens, making current CAR T-cell AML therapies under development poorly tolerated and effective. This pre-clinical study introduces a novel CAR T-cell therapy, CCTx-001, specifically designed to target IL-1RAP, a 78-kDa transmembrane glycoprotein. IL-1RAP, is highly expressed on AML cells but not on healthy hematopoietic stem and progenitor cells (CD34+ HSPC). Additionally, transcriptomic analyses reveal a correlation between high IL-1RAP expression and poor prognosis in AML patients. IL-1RAP's predominant presence on myeloid leukemia cells, coupled with their dependence to IL-1RAP-related pathways for their survival, presents a promising avenue for CAR T-cell therapy without the risk of treatment-induced antigen loss. CCTx-001, an autologous CAR T-cell therapy, was developed to target IL-1RAP on AML cells. It comprises CD8+ and CD4+ T-cells transduced with a highly specific anti-IL-1RAP Single-Chain Variable Fragment (scFv), an IgG1 hinge region, CD28, 4-1BB co-stimulatory domains, and a CD3ζ activation domain. In vitro experiments confirmed CCTx-001's efficacy in killing AML cell lines and primary AML cells of varying IL-1RAP expression levels, also demonstrating cytotoxicity and cytokine release that was dependent on the (E:T) ratio and target expression. Furthermore, in vivo studies using immunocompromised NCG mice confirmed CCTx-001's ability to target IL-1RAP and inhibit the growth of IL-1RAP-positive human AML tumor xenografts, leading to increased survival time. Biodistribution analyses confirmed the successful adoptive transfer, expansion and persistence of CCTx-001 CAR T-cells in vivo, only when injected into IL-1RAP-expressing tumor-bearing mice, which correlated with reduced levels of circulating AML cells. The promising preclinical data presented herein warrant the evaluation of CCTx-001 CAR T-cell therapy in clinical trials for r/r AML patients. CCTx-001 CAR T-cell therapy offers a potential breakthrough in addressing the unmet medical needs of AML patients with resistant or refractory disease. Citation Format: Edouard De Dreuzy, Soha Reda El Sayed, Delphine Genin, Clementine Primus, Lucie Bouquet, Alexis Collette, Olivier Favre-Bulle, Erik Rutjens, Jens Hasskarl, Ksenija Pavletic, Marina Deschamps, Christophe Ferrand, Richard C. A. Sainson. CCTx-001 CAR T-cells targeting the AML specific antigen IL-1RAP show robust pre-clinical anti-tumor efficacy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6322.

CD7-positive leukemic blasts with DNMT3A mutations predict poor prognosis in patients with acute myeloid leukemia.

DNMT3A mutations can be detected in premalignant hematopoietic stem cells and are primarily associated with clonal hematopoiesis of indeterminate potential; however, current evidence does not support assigning them to a distinct European Leukemia Net (ELN) prognostic risk stratification. CD7 is a lymphoid antigen expressed on blasts in approximately 30% of acute myeloid leukemia (AML), and its role in AML remains unclear and depends on subgroup evaluation. This study investigated the prognostic value of DNMT3A mutation combined with CD7 expression in AML. We retrospectively analyzed the clinical data of 297 newly diagnosed non-M3 AML patients. According to the DNMT3A mutation and CD7 expression in AML cells, patients were divided into the DNMT3A-mutated/CD7-positive (CD7+), DNMT3A-mutated/CD7-negative (CD7-), DNMT3A-wild-type/CD7+, and DNMT3A-wild-type/CD7- groups. The DNMT3A-mutated/CD7+ group had lower complete remission rates and higher relapse rates. Importantly, these patients had significantly shorter overall survival (OS) and relapse-free survival (RFS). Furthermore, multivariate analysis showed that CD7+ with DNMT3A mutation was an independent risk factor for OS and RFS. CD7+ with DNMT3A mutation predicts a poor prognosis in AML patients, and the immunophenotype combined with molecular genetic markers can help to further refine the current risk stratification of AML.

Prognostic implications of cGAS and STING gene expression in acute myeloid leukemia.

Acute myeloid leukemia (AML) is one of the most threatening hematological malignances. cGAS-STING pathway plays an important role in tumor immunity and development. However, the prognostic role of cGAS-STING pathway in AML remains unknown. Firstly, The expression of cGAS and STING was analyzed by bioinformatics analysis. Subsequently, Bone marrow samples were collected from 120 AML patients and 15 healthy individuals in an independent cohort. The cGAS and STING expression was significantly elevated in AML patients compared with healthy controls. Patients with high cGAS and STING expression had a higher NRAS/KRAS mutation rate and lower complete remission (CR) rate. High cGAS and STING expression was significantly associated with lower overall survival (OS) and disease-free survival (DFS). Our findings revealed that the expression levels of cGAS and STING in AML are elevated. High expression of cGAS and STING correlated with worse OS and DFS and may be a useful biomarker for inferior prognosis in AML patients.

Regulatory function and mechanism research for m6A modification WTAP via SUCLG2-AS1- miR-17-5p-JAK1 axis in AML

Acute myeloid leukemia (AML), characterized by the abnormal accumulation of immature marrow cells in the bone marrow, is a malignant tumor of the blood system. Currently, the pathogenesis of AML is not yet clear. Therefore, this study aims to explore the mechanisms underlying the development of AML. Firstly, we identified a competing endogenous RNA (ceRNA) SUCLG2-AS1-miR-17-5p-JAK1 axis through bioinformatics analysis. Overexpression of SUCLG2-AS1 inhibits proliferation, migration and invasion and promotes apoptosis of AML cells. Secondly, luciferase reporter assay and RIP assay validated that SUCLG2-AS1 functioned as ceRNA for sponging miR-17-5p, further leading to JAK1 underexpression. Additionally, the results of MeRIP-qPCR and m6A RNA methylation quantification indicted that SUCLG2-AS1(lncRNA) had higher levels of m6A RNA methylation compared with controls, and SUCLG2-AS1 is regulated by m6A modification of WTAP in AML cells. WTAP, one of the main regulatory components of m6A methyltransferase complexes, proved to be highly expressed in AML and elevated WTAP is associated with poor prognosis of AML patients. Taken together, the WTAP-SUCLG2-AS1-miR-17-5p-JAK1 axis played essential roles in the process of AML development, which provided a novel therapeutic target for AML.

Endogenous retroviruses Suppressyn and Syncytin-2 as innovative prognostic biomarkers in Acute Myeloid Leukemia.

Emerging evidence has proven that human endogenous retroviruses (HERVs) play a critical role in the pathogenesis of Acute Myeloid Leukemia (AML), whereas the specific HERVs influencing the prognosis of AML patients have yet to be fully understood. In this study, a systematic exploration was achieved to identify potential prognostic HERVs for AML, sourced from TCGA and GTEx database. Differential analysis and functional enrichment studies were conducted using GO, KEGG, GSEA, and GSVA. The ESTIMATE algorithm was applied to explore the immune infiltration of HERVs in AML. A prognostic risk-score model was evaluated with predicted yearly accuracy using ROC analysis. Two HERVs Suppressyn and Syncytin-2, were identified as promising prognostic biomarkers, with high discrimination ability based on ROC analysis between AML and healthy cohorts from TCGA. Their expression was notably higher in AML patients compared to those in healthy individuals but correlates with favorable clinical outcomes in sub-groups such as white race, lower WBC counts, favorable and intermediate risks, and NPM1 or IDH1 mutation. Suppressyn and Syncytin-2 participated in immune-related pathways and exhibited correlations with multiple immune infiltration cells, such as T cells, mast cells, and tumor-associated macrophages. Finally, we developed a prognostic risk-scoring model combining Suppressyn and Syncytin-2, where a high risk-score is associated with better prognosis. Collectively, our findings revealed that Suppressyn and Syncytin-2 may act as valuable diagnostic and prognostic biomarkers for individuals with AML, while highlighting links between HERV activation, immunogenicity, and future therapeutic targets.