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      Proteome and Phosphoproteome Changes Associated with Prognosis in Acute Myeloid Leukemia

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          Abstract

          Acute myeloid leukemia (AML) is a hematological cancer that mainly affects the elderly. Although complete remission (CR) is achieved for the majority of the patients after induction and consolidation therapies, nearly two-thirds relapse within a short interval. Understanding biological factors that determine relapse has become of major clinical interest in AML. We utilized liquid chromatography tandem mass spectrometry (LC-MS/MS) to identify the protein changes and protein phosphorylation events associated with AML relapse in primary cells from 41 AML patients at time of diagnosis. Patients were defined as relapse-free if they had not relapsed within a five-year clinical follow-up after AML diagnosis. Relapse was associated with increased expression of RNA processing proteins and decreased expression of V-ATPase proteins. We also observed an increase in phosphorylation events catalyzed by cyclin-dependent kinases (CDKs) and casein kinase 2 (CSK2). The biological relevance of the proteome findings was supported by cell proliferation assays using inhibitors of V-ATPase (bafilomycin), CSK2 (CX-4945), CDK4/6 (abemaciclib) and CDK2/7/9 (SNS-032). While bafilomycin preferentially inhibited the cells from relapse patients, the kinase inhibitors were less efficient in these cells. This suggests that therapy against the upregulated kinases could also target the factors inducing their upregulation rather than their activity. This study, therefore, presents markers that could help predict AML relapse and direct therapeutic strategies.

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          Most cited references94

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          Prognostic relevance of integrated genetic profiling in acute myeloid leukemia.

          Acute myeloid leukemia (AML) is a heterogeneous disease with respect to presentation and clinical outcome. The prognostic value of recently identified somatic mutations has not been systematically evaluated in a phase 3 trial of treatment for AML. We performed a mutational analysis of 18 genes in 398 patients younger than 60 years of age who had AML and who were randomly assigned to receive induction therapy with high-dose or standard-dose daunorubicin. We validated our prognostic findings in an independent set of 104 patients. We identified at least one somatic alteration in 97.3% of the patients. We found that internal tandem duplication in FLT3 (FLT3-ITD), partial tandem duplication in MLL (MLL-PTD), and mutations in ASXL1 and PHF6 were associated with reduced overall survival (P=0.001 for FLT3-ITD, P=0.009 for MLL-PTD, P=0.05 for ASXL1, and P=0.006 for PHF6); CEBPA and IDH2 mutations were associated with improved overall survival (P=0.05 for CEBPA and P=0.01 for IDH2). The favorable effect of NPM1 mutations was restricted to patients with co-occurring NPM1 and IDH1 or IDH2 mutations. We identified genetic predictors of outcome that improved risk stratification among patients with AML, independently of age, white-cell count, induction dose, and post-remission therapy, and validated the significance of these predictors in an independent cohort. High-dose daunorubicin, as compared with standard-dose daunorubicin, improved the rate of survival among patients with DNMT3A or NPM1 mutations or MLL translocations (P=0.001) but not among patients with wild-type DNMT3A, NPM1, and MLL (P=0.67). We found that DNMT3A and NPM1 mutations and MLL translocations predicted an improved outcome with high-dose induction chemotherapy in patients with AML. These findings suggest that mutational profiling could potentially be used for risk stratification and to inform prognostic and therapeutic decisions regarding patients with AML. (Funded by the National Cancer Institute and others.).
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            Detecting overlapping protein complexes in protein-protein interaction networks.

            We introduce clustering with overlapping neighborhood expansion (ClusterONE), a method for detecting potentially overlapping protein complexes from protein-protein interaction data. ClusterONE-derived complexes for several yeast data sets showed better correspondence with reference complexes in the Munich Information Center for Protein Sequence (MIPS) catalog and complexes derived from the Saccharomyces Genome Database (SGD) than the results of seven popular methods. The results also showed a high extent of functional homogeneity.
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              MYC as a regulator of ribosome biogenesis and protein synthesis.

              MYC regulates the transcription of thousands of genes required to coordinate a range of cellular processes, including those essential for proliferation, growth, differentiation, apoptosis and self-renewal. Recently, MYC has also been shown to serve as a direct regulator of ribosome biogenesis. MYC coordinates protein synthesis through the transcriptional control of RNA and protein components of ribosomes, and of gene products required for the processing of ribosomal RNA, the nuclear export of ribosomal subunits and the initiation of mRNA translation. We discuss how the modulation of ribosome biogenesis by MYC may be essential to its physiological functions as well as its pathological role in tumorigenesis.
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                Author and article information

                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                17 March 2020
                March 2020
                : 12
                : 3
                : 709
                Affiliations
                [1 ]Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Elise.Aasebo@ 123456uib.no (E.A.); Sushma.Bartaula@ 123456uib.no (S.B.-B.); Tomasz.Stokowy@ 123456uib.no (T.S.); Marc.Vaudel@ 123456uib.no (M.V.); Oystein.Bruserud@ 123456uib.no (Ø.B.)
                [2 ]The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; Frode.Berven@ 123456uib.no (F.S.B.); Frode.Selheim@ 123456uib.no (F.S.)
                [3 ]The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway; stein.doskeland@ 123456uib.no
                [4 ]Department for Medical Genetics, Haukeland University Hospital, 5021 Bergen, Norway; Randi.Hovland@ 123456uib.no
                [5 ]Department of Biological Sciences, University of Bergen, 5006 Bergen, Norway
                [6 ]Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; Emmet.Mc.Cormack@ 123456uib.no
                [7 ]Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark; t.batth@ 123456cpr.ku.dk (T.S.B.); jesper.olsen@ 123456cpr.ku.dk (J.V.O.)
                Author notes
                [* ]Correspondence: Maria.Hernandez-Valladares@ 123456uib.no ; Tel.: +47-5558-6368
                [†]

                F.S. and M.H.-V. share last authorship.

                Author information
                https://orcid.org/0000-0002-6939-8059
                https://orcid.org/0000-0003-0017-8338
                Article
                cancers-12-00709
                10.3390/cancers12030709
                7140113
                32192169
                0584265d-fc7c-40ae-b0ae-84030ded8ef8
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 February 2020
                : 13 March 2020
                Categories
                Article

                acute myeloid leukemia,proteome,phosphoproteome,kinase,v-atpase,markers,patient relapse,mass spectrometry

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