scholarly journals Nucleophosmin1 (NPM1) abnormality in hematologic malignancies, and therapeutic targeting of mutant NPM1 in acute myeloid leukemia

2020 ◽  
Vol 11 ◽  
pp. 204062071989981 ◽  
Author(s):  
Yingyu Chen ◽  
Jianda Hu

Nucleophosmin ( NPM1) is an abundant nucleolar protein that is implicated in a variety of biological processes and in the pathogenesis of several human malignancies. For hematologic malignancies, approximately one-third of anaplastic large-cell non-Hodgkin’s lymphomas were found to express a fusion between NPM1 and the catalytic domain of anaplastic lymphoma receptor tyrosine kinase. About 50–60% of acute myeloid leukemia patients with normal karyotype carry NPM1 mutations, which are characterized by cytoplasmic dislocation of the NPM1 protein. Nevertheless, NPM1 is overexpressed in various hematologic and solid tumor malignancies. NPM1 overexpression is considered a prognostic marker of recurrence and progression of cancer. Thus, NPM1 abnormalities play a critical role in several types of hematologic malignancies. This has led to intense interest in the development of an NPM1 targeting strategy for cancer therapy. The aim of this review is to summarize present knowledge on NPM1 origin, pathogenesis, and therapeutic interventions in hematologic malignancies.

Haematologica ◽  
2021 ◽  
Author(s):  
Eun-Ji Choi ◽  
Young-Uk Cho ◽  
Eun-Hye Hur ◽  
Seongsoo Jang ◽  
Nayoung Kim ◽  
...  

DDX41 mutations are associated with hematologic malignancies including myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), but the incidence in idiopathic cytopenia of undetermined significance (ICUS) is unknown. We investigated the incidence, genetic characteristics, and clinical features of DDX41 mutations in Korean patients with ICUS, MDS, or AML. We performed targeted deep sequencing of 61 genes including DDX41 in 457 patients with ICUS (n=75), MDS (n=210), or AML (n=172). The germline DDX41 mutations with causality were identified in 28 (6.1%) patients, of whom 27 (96.4%) had somatic mutations in the other position of DDX41. Germline origins of the DDX41 mutations were confirmed in all of the 11 patients who performed germline-based testing. Of the germline DDX41 mutations, p.V152G (n=10) was most common, followed by p.Y259C (n=8), p.A500fs (n=6), and p.E7* (n=3). Compared with non-mutated patients, DDX41-mutated patients showed male predominance, old age, normal karyotype, low leukocyte count, and hypocellular marrow at diagnosis. Three of the 4 ICUS patients with germline DDX41 mutations progressed to MDS. DDX41 mutations in Korean patients showed a high incidence and distinct mutation patterns, in that p.V152G was a unique germline variant. ICUS harboring germline DDX41 mutations may be regarded as a hereditary myeloid neoplasm. Germline DDX41 mutations are not uncommon and should be explored when treating the patients with myeloid malignancies.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1355-1355
Author(s):  
Michael Heuser ◽  
Laura Sly ◽  
Courteney Lai ◽  
Malina Leung ◽  
Grace Lin ◽  
...  

Abstract Leukemias are considered hierarchically organized being maintained by a leukemia stem cell (LSC). Whereas LSCs become the primary focus for targeted therapies, little is known about the pathways regulating LSC fidelity. Using retroviral gene transfer of MN1, NUP98HOXD13 (ND13), or HOXA9 oncogenes and limiting-dilution transplantation we modelled leukemias with different LSC frequencies, and characterized critical signaling pathways by loss-of-function analysis. Here we establish the concept that LSCs are heterogeneous based on the number of activated transcriptional networks, and functionally characterize downstream targets that are critical for LSC activity. Constitutive expression of the very potent myeloid oncogene MN1 with the ND13 fusion gene in murine bone marrow cells results in acute myeloid leukemia (AML) that is phenotypically very similar to MN1-induced AML. However, limiting dilution analysis showed that the LSC frequency was 33 fold higher in MN1+ND13 cells compared to MN1 cells, and disease latency at the limiting dilution was significantly shorter in the combination model (p=.009). Whereas MN1-LSCs expanded 68-fold over a period of 6 days, MN1+ND13-LSCs expanded 131-fold more than MN1-LSCs as determined by the competitive repopulation unit (CRU) assay. To screen for functional differences of the two models we screened for differential cytokine responses in vitro. Interestingly, MN1+ND13 expressing cells proliferated in response to GM-CSF, whereas MN1 cells or ND13 cells did not. This was confirmed as well for MN1+HOXA9 expressing cells and their MN1+CTL or HOXA9+CTL expressing counterparts. We found that Stat1, Stat3, Stat5, and Erk1/2 were selectively phosphorylated upon cytokine stimulation in MN1+ND13 and MN1+HOXA9 cells compared to single-oncogene transduced cells. To test the role of Stat1 and Stat5b for LSC fidelity Stat1 −/− and Stat5b −/− cells were co-transduced with MN1 and HOXA9 and compared to wildtype cells in vitro and in vivo. Stat1 −/− cells transduced with MN1+HOXA9 proliferated slower than wildtype cells in response to GM-CSF but not with IL3/IL6/SCF. Proliferation of Stat5b −/− cells transduced with MN1+HOXA9 proliferated slower than wildtype cells in response to both GM-CSF and IL3/IL6/SCF (p<.05). CRU assays with MN1+HOXA9-transduced Stat1 −/− and Stat5b −/− cells demonstrated that the day 6 CRU was 6 and 77 fold reduced, respectively, compared to wildtype cells. As MN1 and HOXA9 are upregulated in distinct subsets of normal karyotype AML we speculated that their combined overexpression may model subsets of complex karyotype AML. We performed gene set enrichment analysis on cytogenetic subsets of previously published gene expression data from 285 AML patients. 12 of 13 Stat-related pathways were enriched in complex karyotype patients compared to 4 and 8 of 13 Stat-related pathways in inv(16) and normal karyotype AML, respectively, thus supporting a critical role of Stat activation in LSCs of AML with multiple active pathways like complex karyotype AML. In conclusion we demonstrate considerable heterogeneity of LSC fidelity depending on the number of activated oncogenes and establish a critical role of Stat1 and Stat5b in mediating this LSC fidelity. Stat1 and Stat5b may become important therapeutic targets in complex karyotype AML.


2011 ◽  
Vol 2 (5) ◽  
pp. 585-592 ◽  
Author(s):  
B. Salvatori ◽  
I. Iosue ◽  
N. Djodji Damas ◽  
A. Mangiavacchi ◽  
S. Chiaretti ◽  
...  

2007 ◽  
Vol 42 (3) ◽  
pp. 250 ◽  
Author(s):  
Sang-Ho Kim ◽  
Yeo-Kyeoung Kim ◽  
Il-Kwon Lee ◽  
Deog-Yeon Jo ◽  
Jong-Ho Won ◽  
...  

2014 ◽  
Vol 93 (6) ◽  
pp. 957-963 ◽  
Author(s):  
Noriyoshi Iriyama ◽  
Norio Asou ◽  
Yasushi Miyazaki ◽  
Shunichiro Yamaguchi ◽  
Shinya Sato ◽  
...  

2009 ◽  
Vol 84 (8) ◽  
pp. 532-534 ◽  
Author(s):  
Felicetto Ferrara ◽  
Clelia Criscuolo ◽  
Cira Riccardi ◽  
Tiziana Izzo ◽  
Mariangela Pedata ◽  
...  

2019 ◽  
Author(s):  
Christian Matek ◽  
Simone Schwarz ◽  
Karsten Spiekermann ◽  
Carsten Marr

AbstractReliable recognition of malignant white blood cells is a key step in the diagnosis of hematologic malignancies such as Acute Myeloid Leukemia. Microscopic morphological examination of blood cells is usually performed by trained human examiners, making the process tedious, time-consuming and hard to standardise.We compile an annotated image dataset of over 18,000 white blood cells, use it to train a convolutional neural network for leukocyte classification, and evaluate the network’s performance. The network classifies the most important cell types with high accuracy. It also allows us to decide two clinically relevant questions with human-level performance, namely (i) if a given cell has blast character, and (ii) if it belongs to the cell types normally present in non-pathological blood smears.Our approach holds the potential to be used as a classification aid for examining much larger numbers of cells in a smear than can usually be done by a human expert. This will allow clinicians to recognize malignant cell populations with lower prevalence at an earlier stage of the disease.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 4-4
Author(s):  
Ashley Zhang ◽  
Yuntao Liu ◽  
Shuning Wei ◽  
Benfa Gong ◽  
Chunlin Zhou ◽  
...  

Background BCOR gene is a transcription repressor that may influence normal hematopoiesis and is associated with poor prognosis in acute myeloid leukemia (AML) with normal karyotype. However, due to the rare mutation frequency in AML (3.8%-5%), clinical characteristics and prognosis of AML patients with BCOR mutation including abnormal karyotype are still unknown. In addition, the clonal evolution of AML patients with BCOR mutation has not been fully investigated. Methods By means of next generation of sequencing, we performed sequencing of 114 genes related to hematological diseases including BCOR on 509 newly diagnosed AML patients (except for acute promyelocytic leukemia) from March 2017 to April 2019. The 2017 European Leukemia Net (ELN) genetic risk stratification was used to evaluate prognosis. Overall survival (OS) was defined as the time from diagnosis to death or last follow-up. Relapse-free survival (RFS) was measured from remission to relapse or death. Clonal evolution was investigated through analyzing bone marrow samples at diagnosis, complete remission (CR) and relapse from the same patient. Result Among 509 AML patients, we found BCOR mutations in 23 patients (4.5%). BCOR mutations were enriched in patients with mutations of RUNX1 (p = 0.008) and BCORL1 (p = 0.0003). Patients with BCOR mutation were more at adverse ELN risk category compared to patients without BCOR mutation (p = 0.007). Besides, there was a larger proportion of patients with normal karyotype in BCOR mutation group but it had not reached statistical difference (62.5% vs 45.5%, p = 0.064). The abnormal karyotype in patients with BCOR mutations included trisomy 8, t(9;11), inv(3), -7 and complex karyotype.There were no significant differences in age, sex, white blood cell count, hemoglobin or platelet count between the two groups. More patients died during induction (13.0% vs 3.5%, p = 0.56) and fewer patients achieved CR after 2 cycles of chemotherapy when patients had BCOR mutations (69.6% vs 82.5%, p = 0.115) but the difference had not reached statistical difference . Patients with BCOR mutations had inferior 2-year OS (52.1% vs 70.7%, p = 0.0094) and 2-year RFS (29.8% vs 61.1%, p = 0.0090). After adjustment for ELN risk stratification, BCOR mutation was still remain a poor prognostic factor. However, the adverse prognostic impact of BCOR mutation is overcome by hematopoietic stem cell transplantation (HSCT), in which there was no difference between BCOR mutation group and wild type group (p = 0.474) (Figure 1). Through analysis of paired bone marrow sample at diagnosis, remission and relapse, we revealed the clonal evolution that BCOR mutation was only detected at diagnosis sample as a subclone and diminished at CR and relapse while TP53 mutation was only detected at relapse with a variant allele frequency (VAF) of 25.5%. We also found BCOR mutation at another patient's diagnosis and relapse sample while TP53 mutation was detected at relapse with VAF of 11.8%. Conclusion BCOR is associated with RUNX1 mutation and higher ELN risk. AML patients with BCOR mutation including normal and abnormal karyotype conferred a worse impact on OS that can be overcome by HSCT. BCOR mutation is a subclone at diagnosis or relapse in some patients, in which TP53 mutation clone occurred at relapse. Disclosures No relevant conflicts of interest to declare.


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