OBJECTIVERecent studies have suggested that there is a close relation between microRNA and acute leukemia (AL). The aim of this study was to investigate and better understand the classification and diagnosis of AL as well as pathogenesis and prognosis of this disease.

METHODSA total of 93 children with AL and and 12 cases of idiopathic thrombocytopenic purpura (as control group) were enrolled in this study. Microarray chip analysis of their bone marrow samples was conducted to evaluate the microRNA profiles. Quantitative real-time PCR was performed for validating the abnormal expression of microRNA.

RESULTSThe microRNA expression profiles were different between acute granulocytic leukemia and acute lymphoblastic leukemia and also between the three subtypes (M1, M2 and M3) of acute granulocytic leukemia according to FAB classification based on leukemic cell differentiation. These three subtypes of leukemia could be identified by unsupervised hierarchical cluster analysis of microRNA expression and had specific up-regulation of miR-335, miR-126 and miR-125b, respectively. However, in the M2 and M3 subtypes with positive AML1-ETO and PML-RARα, respectively, which have a better prognosis, the expressions of miR-126 and miR-125b were significantly higher than those with negative AML1-ETO and PML-RARα. Further more, miR-335 and miR-146 were up-regulated in acute granulocytic leukemia observed in this study, which are different from those reported for adult patients.

CONCLUSIONSmicroRNA cascade may serve as new biomarkers for the classification and diagnosis of pediatric AL. It is also suggested that there might be different pathogenesis and prognosis between AL types related to specific expression and regulation of microRNA.

Adolescent ; Child ; Child, Preschool ; Female ; Gene Expression Profiling ; Humans ; Infant ; Leukemia, Myeloid ; classification ; genetics ; metabolism ; Leukemia, Myeloid, Acute ; genetics ; metabolism ; Leukemia, Promyelocytic, Acute ; genetics ; metabolism ; Male ; MicroRNAs ; genetics ; metabolism ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; genetics ; metabolism

This study was aimed to explore the expression of erythropoietin receptor (EPOR) on acute leukemia cells and its clinical significance. Bone marrow of 40 patients with acute leukemia (AL) and 24 patients with normal bone marrow as control group were collected. Samples came from outpatients and inpatients in our hospital. EPOR mRNA was detected by reverse transcription-PCR. The results showed that there was EPOR expression on AL cells, the expression rate was 57.5%, and the average expression level (Gray value) was 0.3549 ± 0.2800, but both were lower than that in control group (p < 0.05). There was no significant statistic difference of expression rate between acute myelogenous leukemia (AML) and acute lymphoblastic leukemia (ALL) (p > 0.05), and expression level of AML EPOR was higher than that of ALL (p < 0.05). It is concluded that there is EPOR expression on AL cells, while the expression rate and expression level are lower than those in control group (p < 0.05). There is no significant statistic difference of the expression rate between AML and ALL (p > 0.05), and the expression level of AML EPOR is higher than that of ALL (p < 0.05).
Case-Control Studies ; Humans ; Leukemia, Myeloid, Acute ; genetics ; metabolism ; RNA, Messenger ; genetics ; Receptors, Erythropoietin ; genetics ; metabolism

OBJECTIVETo explore the expression of CC-chemokine Receptor 7 (CCR7) in adult acute leukemia patients, and to analyze the relationship of CCR7 expression with the clinical characteristics of patients.

METHODSThe expression of CCR7 in bone marrow samples from adult acute leukemia patients were detected by flow cytometry (FCM), the relationship of CCR7 expression with the clinical characteristics of patients such as sex, age, WBC count, blast cell ratio, CD56 expression, molecular biology, cell genetics, risk stratification, extramedullary infiltration was analyzed.

RESULTSThe expression rate of CCR7 in adult ALL and AML patients was 36.8% and 9.6%, respectively, and the expression level of CCR7 in ALL patients was higher than that in AML patients (P < 0.05). The extramedullary infiltration rate was 100% and 41.7 % for CCR7 positive and negative groups of ALL, respectively (P < 0.05). While the mean fluorescence intensity (MFI) in extramedullary infiltration group of ALL was higher than that in none-extramedullary infiltration group of ALL (50.00 ± 10.42 vs 18.14 ± 1.39), respectively (P < 0.05).

CONCLUSIONCCR7 is higher expressed in adult acute leukemia cells, moreover its expression rate in ALL is higher than that in AML, and the expression of CCR7 is related with extramedullary infiltration in ALL.

Adult ; Bone Marrow ; metabolism ; Flow Cytometry ; Humans ; Leukemia, Myeloid, Acute ; genetics ; metabolism ; Leukocyte Count ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; genetics ; metabolism ; Receptors, CCR7 ; genetics ; metabolism

Bone Marrow Cells ; metabolism ; DNA-Activated Protein Kinase ; genetics ; metabolism ; Humans ; Leukemia ; genetics ; Nuclear Proteins ; genetics ; metabolism ; PTEN Phosphohydrolase ; genetics ; metabolism ; RNA, Messenger ; Telomerase ; genetics ; metabolism

OBJECTIVETo explore CBFbeta/MYH11 fusion transcripts and its expressing product CBFbeta/SMHHC fusion protein in mechanism of leukemogenesis.

METHODSCBFbeta/MYH11 fusion transcripts were detected by combined RT-PCR with sequencing. Transcription assays were examined using pM-CSFR-Luc as reporting plasmid, and subcellular localization of encoding proteins were assayed by double immunofluorescent staining and Western blot.

RESULTSTwo types of CBFbeta/MYH11 fusion transcripts were found in 26 patients with acute leukemia, most being of type A (23/26 cases, 92%) and a few of type D (2/26 cases, 8%). The inhibition of CBF-mediated M-CSFR promotor transactivation by CBFbeta/SMHHC fusion protein was increasing with the increase in amount of the fusion protein. CBFalpha subunit (AML1) located in nucleus, both CBFbeta subunit (CBFbeta) and CBFbeta/SMHHC located in cytoplasm. When AML1 and CBFbeta were coexpressed, CBFbeta still located mainly in cytoplasm, but when AML1 and CBFbeta/SMHHC were coexpressed, CBFbeta/SMHHC located mainly in nucleus.

CONCLUSIONS(1) The types of CBFbeta/MYH11 fusion transcripts of Chinese leukemia patients are almost the same as that reported in western literature. (2) CBFbeta/SMHHC inhibits CBF-mediated transactivation through competing with CBFbeta for binding to AML1.

Adult ; Female ; Humans ; Leukemia, Myelomonocytic, Acute ; genetics ; metabolism ; Male ; Oncogene Proteins, Fusion ; genetics ; metabolism ; Transcription, Genetic

CCAAT enhancer binding protein A (CEBPA) and its product transcription factor CCAAT enhancer binding protein α (C/EBPα) play pivotal roles in early granulocyte development. C/EBPα induces the transition and keeps the balance of differentiation and proliferation of myeloid progenitors. The mutation and dysregulation of CEBPA at transcription, translation or post-translation level lead to differentiation block and over proliferation of immature hematopoietic cells, which are important mechanisms of acute myeloid leukemia (AML). The mutation and dysregulation of CEBPA also provide clues for evaluating the outcome of AML patients and potential targets for differentiation-inducing therapies. This review focus on CEBPA mutation and AML, dysregulation of C/EBPα protein expression and AML, as well as C/EBPα protein and targeting therapy.
CCAAT-Enhancer-Binding Proteins ; genetics ; metabolism ; Humans ; Leukemia, Myeloid, Acute ; genetics ; metabolism ; Mutation

Large granular lymphocytic leukemia (LGLL) is a rare lymphoproliferative disorder of clonal expansion of cytotoxic T- or NK-cells in blood and bone marrow, and often associated with autoimmune disorders. According to the current WHO classification of the hematopoietic and lymphoid tissue tumors, the clonal LGL expansions are further classified as T-cell large granular lymphocytic leukemia (T-LGLL), chronic lymphoproliferative disorders of NK cells (CLPD-NK) and aggressive NK cell leukemia. Since there is a general lack of awareness of this disease, some patients may be misdiagnosed or some cases may be missed when diagnosis was done. At present, the pathogenesis of LGLL remains incomplete and unclear, and the therapeutic effects are unsatisfactory. For this reason, it is necessary to find prognostic marks and therapeutic targets of this disease. The constitutive activation of JAK/STAT pathway has been claimed to be involved in the development of LGLL. Recently, the somatic mutations in the SH2 domain of STAT3 in LGLL are frequently observed, which lead to the activation of JAK/STAT pathway. STAT3 is the first molecular markers that are highly specific for LGLL, and STAT3 mutations have been rarely detected in other tumor types studied, thus the STAT3 mutations can be used as molecular markers for LGLL diagnosis and can provide a novel therapeutic target for patients with LGLL.
Humans ; Janus Kinases ; genetics ; metabolism ; Leukemia, Large Granular Lymphocytic ; genetics ; metabolism ; Mutation ; STAT3 Transcription Factor ; genetics ; metabolism ; Signal Transduction

: AbstractObjective: To identify the expression and methylation patterns of lncRNA CASC15 in bone marrow (BM) samples of acute myeloid leukemia (AML) patients, and further explore its clinical significance. METHODS: Eighty-two de novo AML patients and 18 healthy donors were included in the study. Meanwhile, seven public datasets from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were included to confirm the expression and methylation data of CASC15. Receiver operating characteristic (ROC) curve analysis was applied to determine the discriminative capacity of CASC15 expression to identify AML. The patients were divided into CASC15high group and CASC15low group by X-tile method, and the prognostic value of CASC15 was identified by Kaplan-Meier method and univariate and multivariate Cox regression analysis. RESULTS: The expression level of CASC15 was significantly decreased in BM cells of AML patients compared with healthy donors (P<0.001). ROC curve analysis suggested that CASC15 expression might be a potential biomarker to discriminate AML from controls. The expression of CASC15 was high at the early stage of hematopoiesis, and reached a peak at the stage of multipotent progenitors differentiation, then decreased rapidly, and was at a range of low level fluctuations in the subsequent process. Among FAB subtypes, CASC15 expression in M0 was significantly higher than that in M1-M7. Clinically, CASC15low patients were more likely to have NPM1 mutations than CASC15high patients (P=0.048), while CASC15high patients had a significantly higher frequency of IDH1 and RUNX1 mutations (P=0.021 and 0.014, respectively). Moreover, CASC15low group had a shorter overall survival (OS) in patients with NPM1 mutations. Furthermore, multivariate analysis confirmed that CASC15 expression was a significant independent risk factor for OS in NPM1 mutated AML patients. In addition, CASC15 methylation level in BM samples of AML patients was significantly decreased compared with healthy donors. Patients with CASC15 high methylation had poor OS and disease-free survival. CONCLUSION The expression of CASC15 is decreased in AML, and low CASC15 expression may predict adverse prognosis in AML patients with NPM1 mutations. Moreover, CASC15 methylation level in AML is significantly decreased, and high CASC15 methylation may predict poor prognosis in AML.
Humans ; Leukemia, Myeloid, Acute/metabolism* ; Mutation ; Nuclear Proteins/genetics* ; Nucleophosmin/genetics* ; Prognosis ; RNA, Long Noncoding/genetics*

OBJECTIVETo detect the expression profile of NK ligands in acute leukemia cell lines and investigate the differential expression pattern between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML).

METHODSUsing quantitative real-time PCR, 23 NK ligands (MICA, MICB, ULBP-1, ULBP-2, ULBP-3, ULBP-4, HLA-E, HLA-G, CD48, NBTA, HLA-F, LLT-1, PVR, Nectin2, CD72, CD80, ICAM-1, LFA-3, CRACC, Fas, DR4, DR5, TNFR1) were detected in 6 acute leukemia cell lines, including 3 ALL cell lines (CEM, Jurkat T, Reh) and 3 AML cell lines (HL-60, KG-1a, NB4), respectively. Independent-samples t test analysis was performed to determine statistical significance.

RESULTSUsing β-actin as reference gene, the relative expression results showed that the expression of 4 NK ligands between ALL and AML is significantly different. Specifically, the level of ULBP-2 is higher in ALL (CEM: 1, Jurkat T: 0.617, Reh: 0.246) than that in AML (HL-60: 0.000, KG-1a: 0.003, NB4: 0.000)(P = 0.047). However, the expressions of CD48, PVR(PVR-1, PVR-2) and DR4 is higher in AML (HL-60: 13.987, 4.403, 10.334, 8.711; KG-1a: 5.387, 2.900, 7.315, 4.512; NB4: 7.763, 3.248, 7.049, 6.127) than that in ALL (CEM: 1, 1, 1, 1; Jurkat T: 2.035, 1.553, 3.888, 0.449; Reh: 1.559, 0.000, 0.000, 1.304) (P = 0.044, 0.014, 0.014, 0.011). And there're no significant differences between the rest 19 NK ligands.

CONCLUSIONSULBP-2, CD48, PVR and DR4 might play an important role in the distinct mechanisms in leukemogenesis between ALL and AML and could be potential targets for diagnosis and treatment.

Acute Disease ; Antigens, CD ; genetics ; metabolism ; CD48 Antigen ; Cell Line, Tumor ; GPI-Linked Proteins ; genetics ; metabolism ; HL-60 Cells ; Humans ; Intercellular Signaling Peptides and Proteins ; genetics ; metabolism ; Leukemia ; genetics ; metabolism ; Leukemia, Myeloid, Acute ; genetics ; metabolism ; Ligands ; Membrane Proteins ; genetics ; metabolism ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; genetics ; metabolism ; Real-Time Polymerase Chain Reaction ; Receptors, TNF-Related Apoptosis-Inducing Ligand ; genetics ; metabolism ; Receptors, Virus ; genetics ; metabolism

OBJECTIVE: To explore the expression patterns, prognostic implications, and biological role of leukotriene B4 receptor (LTB4R) in patients with acute myeloid leukemia (AML). METHODS: We collected the data of mRNA expression levels and clinical information of patients with AML from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database for mRNA expression analyses, survival analyses, Cox regression analyses and correlation analyses using R studio to assess the expression patterns and prognostic value of LTB4R. The correlation of LTB4R expression levels with clinical characteristics of the patients were analyzed using UALCAN. The co-expressed genes LTB4R were screened from Linkedomics and subjected to functional enrichment analysis. A protein-protein interaction network was constructed using STRING. GSEA analyses of the differentially expressed genes (DEGs) were performed based on datasets from TCGA-LAML stratified by LTB4R expression level. We also collected peripheral blood mononuclear cells (PBMCs) from AML patients and healthy donors for examination of the mRNA expression levels of LTB4R and immune checkpoint genes using qRT-PCR. We also examined serum LTB4R protein levels in the patients using ELISA. RESULTS: The mRNA expression level of LTB4R was significantly increased in AML patients (4.898±1.220 vs 2.252±0.215, P < 0.001), and an elevated LTB4R expression level was correlated with a poor overall survival (OS) of the patients (P=0.004, HR=1.74). LTB4R was identified as an independent prognostic factor for OS (P=0.019, HR=1.66) and was associated with FAB subtypes, cytogenetic risk, karyotype abnormalities and NPM1 mutations. The co- expressed genes of LTB4R were enriched in the functional pathways closely associated with AML leukemogenesis, including neutrophil inflammation, lymphocyte activation, signal transduction, and metabolism. The DEGs were enriched in differentiation, activation of immune cells, and cytokine signaling. Examination of the clinical serum samples also demonstrated significantly increased expressions of LTB4R mRNA (P=0.044) and protein (P=0.008) in AML patients, and LTB4R mRNA expression was positively correlated with the expression of the immune checkpoint HAVCR2 (r= 0.466, P=0.040). CONCLUSION LTB4R can serve as a novel biomarker and independent prognostic indicator of AML and its expression patterns provide insights into the crosstalk of leukemogenesis signaling pathways involving tumor immunity and metabolism.
Humans ; Leukemia, Myeloid, Acute/metabolism* ; Leukocytes, Mononuclear/metabolism* ; Prognosis ; RNA, Messenger/metabolism* ; Receptors, Leukotriene B4/genetics*