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      XPO1 inhibition with selinexor synergizes with proteasome inhibition in neuroblastoma by targeting nuclear export of IkB

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          Highlights

          • XPO1 is overabundant in high-risk neuroblastoma and correlates with poor survival.

          • Neuroblastoma cells are sensitive to XPO1 inhibition with selinexor.

          • Use of selinexor results in nuclear retention of IkB, diminishing NF-kB activity.

          • Selinexor and bortezomib act synergistically through promotion of apoptosis.

          • Synergy is mediated in part, through IkB regulation of NF-kB activity.

          Abstract

          Across many cancer types in adults, upregulation of the nuclear-to-cytoplasmic transport protein Exportin-1 (XPO1) correlates with poor outcome and responsiveness to selinexor, an FDA-approved XPO1 inhibitor. Similar data are emerging in childhood cancers, for which selinexor is being evaluated in early phase clinical studies. Using proteomic profiling of primary tumor material from patients with high-risk neuroblastoma, as well as gene expression profiling from independent cohorts, we have demonstrated that XPO1 overexpression correlates with poor patient prognosis. Neuroblastoma cell lines are also sensitive to selinexor in the low nanomolar range. Based on these findings and knowledge that bortezomib, a proteasome inhibitor, blocks degradation of XPO1 cargo proteins, we hypothesized that combination treatment with selinexor and bortezomib would synergistically inhibit neuroblastoma cellular proliferation. We observed that selinexor promoted nuclear retention of IkB and that bortezomib augmented the ability of selinexor to induce cell-cycle arrest and cell death by apoptosis. This synergy was abrogated through siRNA knockdown of IkB. The synergistic effect of combining selinexor and bortezomib in vitro provides rationale for further investigation of this combination treatment for patients with high-risk neuroblastoma.

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          Most cited references62

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          Universal sample preparation method for proteome analysis.

          We describe a method, filter-aided sample preparation (FASP), which combines the advantages of in-gel and in-solution digestion for mass spectrometry-based proteomics. We completely solubilized the proteome in sodium dodecyl sulfate, which we then exchanged by urea on a standard filtration device. Peptides eluted after digestion on the filter were pure, allowing single-run analyses of organelles and an unprecedented depth of proteome coverage.
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            Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips.

            Mass spectrometry (MS)-based proteomics measures peptides derived from proteins by proteolytic cleavage. Before performing the analysis by matrix-assisted laser desorption/ionization-tandem mass spectrometry (MALDI-MS/MS), nanoelectrospray-MS/MS (NanoES-MS/MS) or liquid chromatography-MS/MS (LC-MS/MS), the peptide mixtures need to be cleaned, concentrated and often selectively enriched or pre-fractionated, for which we employ simple, self-made and extremely economical stop-and-go-extraction tips (StageTips). StageTips are ordinary pipette tips containing very small disks made of beads with reversed phase, cation-exchange or anion-exchange surfaces embedded in a Teflon mesh. The fixed nature of the beads allows flexible combination of disks with different surfaces to obtain multi-functional tips. Disks containing different surface functionalities and loose beads such as titania and zirconia for phosphopeptide enrichment can be combined. Incorporation into an automated workflow has also been demonstrated. Desalting and concentration takes approximately 5 min while fractionation or enrichment takes approximately 30 min.
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              Pvclust: an R package for assessing the uncertainty in hierarchical clustering.

              Pvclust is an add-on package for a statistical software R to assess the uncertainty in hierarchical cluster analysis. Pvclust can be used easily for general statistical problems, such as DNA microarray analysis, to perform the bootstrap analysis of clustering, which has been popular in phylogenetic analysis. Pvclust calculates probability values (p-values) for each cluster using bootstrap resampling techniques. Two types of p-values are available: approximately unbiased (AU) p-value and bootstrap probability (BP) value. Multiscale bootstrap resampling is used for the calculation of AU p-value, which has superiority in bias over BP value calculated by the ordinary bootstrap resampling. In addition the computation time can be enormously decreased with parallel computing option.
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                Author and article information

                Contributors
                Journal
                Transl Oncol
                Transl Oncol
                Translational Oncology
                Neoplasia Press
                1936-5233
                09 May 2021
                August 2021
                09 May 2021
                : 14
                : 8
                : 101114
                Affiliations
                [a ]Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue Ullmann 813 Bronx, NY 10461, United States
                [b ]Karyopharm Therapeutics, Newton MA, United States
                [c ]Clinical Pathology, Children's Hospital Los Angeles, United States
                [d ]Pathology and Laboratory Medicine, University of Pennsylvania, United States
                [e ]Genetics, Genomics and Informatics, University of Tennessee Health Science Center, United States
                [f ]Department of Pediatrics, Albert Einstein College of Medicine, United States
                [g ]Department of Neuroscience, Albert Einstein College of Medicine, United States
                Author notes
                [* ]Corresponding author. basia.galinski@ 123456einsteinmed.org
                Article
                S1936-5233(21)00106-6 101114
                10.1016/j.tranon.2021.101114
                8131731
                33975179
                d44b01e9-1f79-4923-9af6-658917f47c71
                © 2021 The Authors. Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 8 February 2021
                : 12 April 2021
                : 23 April 2021
                Categories
                Original Research

                neuroblastoma,exportin-1,selinexor,bortezomib,ikb,nf-kb,xpo1, exportin-1,sel, selinexor,veh, vehicle,nuc, nuclear compartment,cyto, cytoplasmic compartment,btz, bortezomib,ci, combination index,fa, fraction affected,nt, non-targeting sirna pool,co, combination treatment,r.lu.s, relative luciferase units

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