scholarly journals Integrative study of EZH2 mutational status, copy number, protein expression and H3K27 trimethylation in AML/MDS patients

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Julia Stomper ◽  
Ruth Meier ◽  
Tobias Ma ◽  
Dietmar Pfeifer ◽  
Gabriele Ihorst ◽  
...  

Abstract Background Mutations in the EZH2 gene are recurrently found in patients with myeloid neoplasms and are associated with a poor prognosis. We aimed to characterize genetic and epigenetic alterations of EZH2 in 58 patients (51 with acute myeloid leukemia and 7 with myelodysplastic or myeloproliferative neoplasms) by integrating data on EZH2 mutational status, co-occurring mutations, and EZH2 copy number status with EZH2 protein expression, histone H3K27 trimethylation, and EZH2 promoter methylation. Results EZH2 was mutated in 6/51 acute myeloid leukemia patients (12%) and 7/7 patients with other myeloid neoplasms. EZH2 mutations were not overrepresented in patients with chromosome 7q deletions or losses. In acute myeloid leukemia patients, EZH2 mutations frequently co-occurred with CEBPA (67%), ASXL1 (50%), TET2 and RAD21 mutations (33% each). In EZH2-mutated patients with myelodysplastic or myeloproliferative neoplasms, the most common co-mutations were in ASXL1 (100%), NRAS, RUNX1, and STAG2 (29% each). EZH2 mutations were associated with a significant decrease in EZH2 expression (p = 0.0002), which was similar in patients with chromosome 7 aberrations and patients with intact chromosome 7. An association between EZH2 protein expression and H3K27 trimethylation was observed in EZH2-unmutated patients (R2 = 0.2, p = 0.01). The monoallelic state of EZH2 was not associated with EZH2 promoter hypermethylation. In multivariable analyses, EZH2 mutations were associated with a trend towards an increased risk of death (hazard ratio 2.51 [95% confidence interval 0.87–7.25], p = 0.09); similarly, low EZH2 expression was associated with elevated risk (hazard ratio 2.54 [95% confidence interval 1.07–6.04], p = 0.04). Conclusions Perturbations of EZH2 activity in AML/MDS occur on different, genetic and non-genetic levels. Both low EZH2 protein expression and, by trend, EZH2 gene mutations predicted inferior overall survival of AML patients receiving standard chemotherapy.

2021 ◽  
Author(s):  
Ayobami Matthew Olajuyin ◽  
Sharon Ibialate Georgewill ◽  
Adefunke Kafayat Olajuyin ◽  
Jamiyu Ayodeji Saliu ◽  
Malachy I. Okeke ◽  
...  

Abstract BackgroundCluster of Differentiation 80 and CD 86 can also be called B7-1 and B7-2 respectively. They are proteins fundamentally expressed on antigen-presenting cells (APCs), including induced dendritic cells (IDCs), langerhans cells, germinal center dendritic cells (GCDCs), activated monocytes, macrophages and B-cells. They are considered to be a possible therapeutic target and biomarker of great significance. However, there are still inconsistent pieces of information and their clinical importance is yet to be established. MethodsHere we investigated CD 80 and 86 as biomarkers by utilizing several large genomic data collections. (The Cancer Genome Atlas, Cancer Cell Line Encyclopedia, Quantitative proteomics Cancer cell line Encyclopedia Genotype-Tissue Expression,) and analyzed CD 80 and CD 86 expression in thousands of normal and cancer samples and cell lines along with their clinical survival analysis.ResultsThis study presented that CD 86 was expressed more in post-treatment blood cancer in the blood and post-treatment blood cancer in the bone marrow while it was expressed least in normal tissues and cell lines. The Hodgkin lymphoma cell line L428 cell lysate illustrated that there was a high relative protein expression of 6.6 for the CD 86 gene. it indicated that cancer in the esophagus had the highest copy number value and indicated a medium level amplification of the CD 86 gene and prostate cancer had a hemizygous deletion of the CD 86 gene with the least copy number value. Furthermore, on the non-Hodgkin lymphoma cell line REC1, illustrated the highest relative protein expression of the CD 86 gene among the other types of cancer cell line, its protein expression value was 8.19. Also, for cancer type leukemia, the subtype acute myeloid leukemia showed a significant relative protein expression. The acute myeloid leukemia cell line EOL1 indicated that there was a high relative protein expression of 6.5. However, the protein expression for CD 80 is yet to be elucidated.ConclusionsTaken together, CD 80 ad 86 may be potential biomarkers of great clinical significance. The Kaplan Meier plots unveiled that CD 86 and CD 80 were significantly associated with overall survival analysis in the Large B-cell lymphoma, and the different tumor types.


2017 ◽  
Vol 35 (9) ◽  
pp. 934-946 ◽  
Author(s):  
Lars Bullinger ◽  
Konstanze Döhner ◽  
Hartmut Döhner

In recent years, our understanding of the molecular pathogenesis of myeloid neoplasms, including acute myeloid leukemia (AML), has been greatly advanced by genomics discovery studies that use novel high-throughput sequencing techniques. AML, similar to most other cancers, is characterized by multiple somatically acquired mutations that affect genes of different functional categories, a complex clonal architecture, and disease evolution over time. Patterns of mutations seem to follow specific and temporally ordered trajectories. Mutations in genes encoding epigenetic modifiers, such as DNMT3A, ASXL1, TET2, IDH1, and IDH2, are commonly acquired early and are present in the founding clone. The same genes are frequently found to be mutated in elderly individuals along with clonal expansion of hematopoiesis that confers an increased risk for the development of hematologic cancers. Furthermore, such mutations may persist after therapy, lead to clonal expansion during hematologic remission, and eventually lead to relapsed disease. In contrast, mutations involving NPM1 or signaling molecules (eg, FLT3, RAS) typically are secondary events that occur later during leukemogenesis. Genetic data are now being used to inform disease classification, risk stratification, and clinical care of patients. Two new provisional entities, AML with mutated RUNX1 and AML with BCR- ABL1, have been included in the current update of the WHO classification of myeloid neoplasms and AML, and mutations in three genes— RUNX1, ASXL1, and TP53—have been added in the risk stratification of the 2017 European LeukemiaNet recommendations for AML. Integrated evaluation of baseline genetics and assessment of minimal residual disease are expected to further improve risk stratification and selection of postremission therapy. Finally, the identification of disease alleles will guide the development and use of novel molecularly targeted therapies.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1364-1364 ◽  
Author(s):  
Anna B. Halpern ◽  
Megan Othus ◽  
Kelda Gardner ◽  
Genevieve Alcorn ◽  
Mary-Elizabeth M. Percival ◽  
...  

Background: Optimal treatment for medically less fit adults with acute myeloid leukemia (AML) remains uncertain. Retrospective data suggest intensive therapy may lead to better outcomes in these patients. However, these findings must be interpreted cautiously because of the possibility of selection bias and other confounders. Ideally, the optimal treatment intensity is defined via randomized trial but whether patients and their physicians are amenable to such a study is unknown. We therefore designed a trial (NCT03012672) to 1) evaluate the feasibility of randomization between intensive and non-intensive therapy in this population and 2) examine the impact of treatment intensity on response rate and survival. We used CLAG-M as high-dose cytarabine-based intensive induction therapy. Rather than selecting different classes of drugs in the 2 treatment arms- which may have different modes of action and therefore confound the question of treatment intensity - we used reduced-dose ("mini") CLAG-M as the non-intensive comparator. Methods: Adults ≥18 years were eligible if they had untreated AML or high-grade myeloid neoplasms (≥10% blasts in blood or marrow) and were medically less fit as defined by having a "treatment related mortality" (TRM) score of ≥13.1, corresponding to a >10-15% 28-day mortality with intensive chemotherapy. Left ventricular ejection fraction ≤45% was the only organ function exclusion. Patient-physician pairs were first asked if they were amenable to randomized treatment allocation. If so, they were randomized 1:1 to mini- vs. regular-dose CLAG-M. If not, in order to evaluate our secondary endpoints, the patient or physician could choose the treatment arm and still enroll on study. Patients and physicians then completed surveys elucidating their decision-making processes. Up to 2 induction courses were given with mini- vs. regular-dose CLAG-M: cladribine 2 or 5 mg/m2/day (days 1-5), cytarabine 100 or 2,000 mg/m2/day (days 1-5), G-CSF 300 or 480µcg/day for weight </≥76kg in both arms (days 0-5), and mitoxantrone 6 or 18 mg/m2/day (days 1-3). CLAG at identical doses was used for post-remission therapy for up to 4 (regular-dose CLAG) or 12 (mini-CLAG) cycles. The primary endpoint was feasibility of randomization, defined as ≥26/50 of patient-physician pairs agreeing to randomization. Secondary outcomes included rate of complete remission (CR) negative for measurable ("minimal") residual disease (MRD), rate of CR plus CR with incomplete hematologic recovery (CR+CRi), and overall survival (OS). Results: This trial enrolled 33 patients. Only 3 (9%) patient/physician pairs agreed to randomization and thus randomization was deemed infeasible (primary endpoint). Eighteen pairs chose mini-CLAG-M and 12 regular-dose CLAG-M for a total of 19 subjects in the lower dose and 14 subjects in the higher dose arms. The decision favoring lower dose treatment was made largely by the physician in 5/18 (28%) cases, the patient in 11/18 (61%) cases and both in 2/18 (11%). The decision favoring the higher dose arm was made by the patient in most cases 9/12 (75%), both physician and patient in 2/12 (16%) and the physician in only 1/12 (8%) cases. Despite the limitations of lack of randomization, patients' baseline characteristics were well balanced with regard to age, performance status, TRM score, lab values and cytogenetic/mutational risk categories (Table 1). One patient was not yet evaluable for response or TRM at data cutoff. Rates of MRDneg CR were comparable: 6/19 (32%) in the lower and 3/14 (21%) in the higher dose groups (p=0.70). CR+CRi rates were also similar in both arms (43% vs. 56% in lower vs. higher dose arms; p=0.47). Three (16%) patients experienced early death in the lower dose arm vs. 1 (7%) in the higher dose arm (p=0.43). With a median follow up of 4.2 months, there was no survival difference between the two groups (median OS of 6.1 months in the lower vs. 4.7 months in the higher dose arm; p=0.81; Figure 1). Conclusions: Randomization of medically unfit patients to lower- vs. higher-intensity therapy was not feasible, and physicians rarely chose higher intensity therapy in this patient group. Acknowledging the limitation of short follow-up time and small sample size, our trial did not identify significant differences in outcomes between intensive and non-intensive chemotherapy. Analysis of differences in QOL and healthcare resource utilization between groups is ongoing. Disclosures Halpern: Pfizer Pharmaceuticals: Research Funding; Bayer Pharmaceuticals: Research Funding. Othus:Celgene: Other: Data Safety and Monitoring Committee. Gardner:Abbvie: Speakers Bureau. Percival:Genentech: Membership on an entity's Board of Directors or advisory committees; Pfizer Inc.: Research Funding; Nohla Therapeutics: Research Funding. Scott:Incyte: Consultancy; Novartis: Consultancy; Agios: Consultancy; Celgene: Consultancy. Becker:AbbVie, Amgen, Bristol-Myers Squibb, Glycomimetics, Invivoscribe, JW Pharmaceuticals, Novartis, Trovagene: Research Funding; Accordant Health Services/Caremark: Consultancy; The France Foundation: Honoraria. Oehler:Pfizer Inc.: Research Funding; Blueprint Medicines: Consultancy. Walter:BioLineRx: Consultancy; Astellas: Consultancy; Argenx BVBA: Consultancy; BiVictriX: Consultancy; Agios: Consultancy; Amgen: Consultancy; Amphivena Therapeutics: Consultancy, Equity Ownership; Boehringer Ingelheim: Consultancy; Boston Biomedical: Consultancy; Covagen: Consultancy; Daiichi Sankyo: Consultancy; Jazz Pharmaceuticals: Consultancy; Seattle Genetics: Research Funding; Race Oncology: Consultancy; Aptevo Therapeutics: Consultancy, Research Funding; Kite Pharma: Consultancy; New Link Genetics: Consultancy; Pfizer: Consultancy, Research Funding. OffLabel Disclosure: Cladribine is FDA-approved for Hairy Cell Leukemia. Here we describe its use for AML, where is is also widely used with prior publications supporting its use


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1427-1427 ◽  
Author(s):  
Tristan Knight ◽  
Xinan Qiao ◽  
Holly Edwards ◽  
Hai Lin ◽  
Jeffrey W. Taub ◽  
...  

Abstract Introduction: FMS-like tyrosine kinase 3 (FLT3) is a receptor tyrosine kinase, and is mutated in approximately one third of acute myeloid leukemia (AML) patients; this mutation confers a poor prognosis. Two FLT3 mutations are commonly seen in AML: internal tandem duplications (ITD) in the juxtamembrane domain (~25% of AML), and point mutations in the receptor tyrosine kinase at codon 835 (D835) (~7% of AML). Both mutations result in constitutive FLT3 activation, causing downstream activation of multiple pathways, in particular, those involved in cell survival including the RAS-RAF-MEK-ERK, JAK-STAT5, and PI3K/AKT pathways. PI3K-AKT may also be activated by AXL, also a tyrosine kinase, via its targets PLC, Grb2, and PI3K. Logically, then, inhibition of FLT3 is a promising pharmacological approach for treating this subtype of AML. Gilteritinib (ASP-2215) is a novel dual inhibitor of FLT3 and AXL, exposure to which results in upregulation of FLT3 as a resistance mechanism. Previously, we found that the novel dual PI3K/histone deacetylase (HDAC) inhibitor CUDC-907 downregulates FLT3 expression in AML cells (Figure 1A). Additionally, inhibition of FLT3 and AXL by gilteritinib may not result in robust inactivation of both the PI3K-Akt and MEK/ERK pathways due to crosstalk between the two pathways. Thus, our hypothesis was that CUDC-907 would sensitize AML cells to gilteritinib, resulting in concurrent inhibition of all the downstream signaling pathways of FLT3 and AXL, leading to synergistic antileukemic activities again FLT3-mutated AML (Figure 1B). Methods: FLT3-ITD AML cell lines (MV4-11 and MOLM-13) and primary patient samples were treated with CUDC-907, gilteritinib, both, or neither for 24 hours, at clinically achievable concentrations. Annexin V/Propidium Iodide (PI) staining and flow cytometry analyses was performed, and combination indexes (CI) calculated; CI<1, CI=1, and CI>1 indicating synergistic, additive, or antagonistic effects, respectively. Western blots were performed after treatment for 0-24 hours to determine protein expression of relevant targets. Results: CUDC-907 and gilteritinib demonstrated potent synergistic antileukemic effects in FLT3-ITD AML cell lines and FLT3-ITD patient samples (AML#171, AML#180), the combination exceeding either in isolation (Figure 1C). These findings were confirmed via western blot, which showed accentuated upregulation of cleaved caspase3 with combination therapy, in both cell lines and one patient sample, demonstrating drug-induced apoptosis. We confirmed that CUDC-907 abolishes gilteritinib-induced expression of FLT3 in a time-dependent fashion in cell lines MV4-11 and MOLM-13 (Figure 1D). Gilteritinib treatment decreased p-AKT, p-S6, and p-STAT5, while inhibition of the ERK pathway, as assessed by p-ERK expression, varied amongst the samples (Figure 1E). CUDC-907 treatment decreased both p-AKT and p-ERK. MOLM-13 cells showed increased p-ERK following gilteritinib treatment and increased p-STAT5 after CUDC-907 treatment. In all samples, combination of gilteritinib with CUDC-907 resulted in decrease of p-STAT5 and p-S6, similar to gilteritinib treatment alone, and further reduction of p-AKT and p-ERK compared to single drug treatments. Gilteritinib treatment also reduced expression of anti-apoptotic protein Mcl-1, which was further decreased in combination treated cells. Subsequently, time-course analysis was performed in both cell lines; findings were consistent with prior observations, and confirmed that protein expression changed over time, in relation to gilteritinib/CUDC-907/combined treatment exposure. Conclusion: We confirmed that CUDC-907 and Gilteritinib synergistically induce apoptosis in both cell lines and primary patient samples derived from patients with FLT3-ITD AML, and that CUDC-907 abolishes Gilteritinib-induced FLT3 expression. Additionally, the combination cooperatively inhibits the PI3K-AKT, JAK-STAT, and RAS-RAF pathways, while preventing escape via alternative pathways. Our results provide a strong foundation for subsequent in vivo murine studies, and eventual clinical evaluation of the combination of gilteritinib and CUDC-907 for the treatment of AML. Figure 1. Figure 1. Disclosures Ge: MEI Pharma: Research Funding.


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