Literature DB >> 35995507

Disruption of Nurse-like Cell Differentiation as a Therapeutic Strategy for Chronic Lymphocytic Leukemia.

Giovanna Merchand-Reyes1, Ramasamy Santhanam2, Frank H Robledo-Avila3, Christoph Weigel2, Juan de Dios Ruiz-Rosado3, Xiaokui Mo4, Santiago Partida-Sánchez3, Jennifer A Woyach2, Christopher C Oakes2, Susheela Tridandapani2, Jonathan P Butchar1.   

Abstract

Chronic lymphocytic leukemia (CLL) is the most common adult leukemia, but, despite advances in treatment, many patients still experience relapse. CLL cells depend on interactions with supportive cells, and nurse-like cells (NLCs) are the major such cell type. However, little is known about how NLCs develop. Here, we performed DNA methylation analysis of CLL patient-derived NLCs using the 850K Illumina array, comparing CD14+ cells at day 1 (monocytes) versus day 14 (NLCs). We found a strong loss of methylation in AP-1 transcription factor binding sites, which may be driven by MAPK signaling. Testing of individual MAPK pathways (MEK, p38, and JNK) revealed a strong dependence on MEK/ERK for NLC development, because treatment of patient samples with the MEK inhibitor trametinib dramatically reduced NLC development in vitro. Using the adoptive transfer Eµ-TCL1 mouse model of CLL, we found that MEK inhibition slowed CLL progression, leading to lower WBC counts and to significantly longer survival time. There were also lower numbers of mouse macrophages, particularly within the M2-like population. In summary, NLC development depends on MEK signaling, and inhibition of MEK leads to increased survival time in vivo. Hence, targeting the MEK/ERK pathway may be an effective treatment strategy for CLL.
Copyright © 2022 by The American Association of Immunologists, Inc.

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Year:  2022        PMID: 35995507      PMCID: PMC9492647          DOI: 10.4049/jimmunol.2100931

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.426


  45 in total

1.  Blood-derived nurse-like cells protect chronic lymphocytic leukemia B cells from spontaneous apoptosis through stromal cell-derived factor-1.

Authors:  J A Burger; N Tsukada; M Burger; N J Zvaifler; M Dell'Aquila; T J Kipps
Journal:  Blood       Date:  2000-10-15       Impact factor: 22.113

2.  The ENCODE (ENCyclopedia Of DNA Elements) Project.

Authors: 
Journal:  Science       Date:  2004-10-22       Impact factor: 47.728

Review 3.  Src protein-tyrosine kinase structure, mechanism, and small molecule inhibitors.

Authors:  Robert Roskoski
Journal:  Pharmacol Res       Date:  2015-02-03       Impact factor: 7.658

Review 4.  The molecular pathogenesis of chronic lymphocytic leukaemia.

Authors:  Giulia Fabbri; Riccardo Dalla-Favera
Journal:  Nat Rev Cancer       Date:  2016-03       Impact factor: 60.716

5.  Nurse-like cells show deregulated expression of genes involved in immunocompetence.

Authors:  Nupur Bhattacharya; Susanne Diener; Irina S Idler; Judith Rauen; Sarah Häbe; Hauke Busch; Annett Habermann; Thorsten Zenz; Hartmut Döhner; Stephan Stilgenbauer; Daniel Mertens
Journal:  Br J Haematol       Date:  2011-05-25       Impact factor: 6.998

6.  Nurse like cells: chronic lymphocytic leukemia associated macrophages.

Authors:  Frédéric Boissard; Jean-Jacques Fournié; Camille Laurent; Mary Poupot; Loïc Ysebaert
Journal:  Leuk Lymphoma       Date:  2015-02-11

Review 7.  Chronic lymphocytic leukaemia: from genetics to treatment.

Authors:  Francesc Bosch; Riccardo Dalla-Favera
Journal:  Nat Rev Clin Oncol       Date:  2019-11       Impact factor: 66.675

8.  MEK1/2 inhibition by binimetinib is effective as a single agent and potentiates the actions of Venetoclax and ABT-737 under conditions that mimic the chronic lymphocytic leukaemia (CLL) tumour microenvironment.

Authors:  Kyle Crassini; Yandong Shen; William S Stevenson; Richard Christopherson; Chris Ward; Stephen P Mulligan; O Giles Best
Journal:  Br J Haematol       Date:  2018-05-16       Impact factor: 6.998

9.  RnBeads 2.0: comprehensive analysis of DNA methylation data.

Authors:  Fabian Müller; Michael Scherer; Yassen Assenov; Pavlo Lutsik; Jörn Walter; Thomas Lengauer; Christoph Bock
Journal:  Genome Biol       Date:  2019-03-14       Impact factor: 13.583

10.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.

Authors:  Andrew E Teschendorff; Francesco Marabita; Matthias Lechner; Thomas Bartlett; Jesper Tegner; David Gomez-Cabrero; Stephan Beck
Journal:  Bioinformatics       Date:  2012-11-21       Impact factor: 6.937

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