Literature DB >> 31369171

Transcriptional networks in acute myeloid leukemia.

Julie A I Thoms1, Dominik Beck2,3, John E Pimanda1,3,4.   

Abstract

Acute myeloid leukemia (AML) is a complex disease characterized by a diverse range of recurrent molecular aberrations that occur in many different combinations. Components of transcriptional networks are a common target of these aberrations, leading to network-wide changes and deployment of novel or developmentally inappropriate transcriptional programs. Genome-wide techniques are beginning to reveal the full complexity of normal hematopoietic stem cell transcriptional networks and the extent to which they are deregulated in AML, and new understandings of the mechanisms by which AML cells maintain self-renewal and block differentiation are starting to emerge. The hope is that increased understanding of the network architecture in AML will lead to identification of key oncogenic dependencies that are downstream of multiple network aberrations, and that this knowledge will be translated into new therapies that target these dependencies. Here, we review the current state of knowledge of network perturbation in AML with a focus on major mechanisms of transcription factor dysregulation, including mutation, translocation, and transcriptional dysregulation, and discuss how these perturbations propagate across transcriptional networks. We will also review emerging mechanisms of network disruption, and briefly discuss how increased knowledge of network disruption is already being used to develop new therapies.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  acute myeloid leukemia; epigenetics; transcription factors; transcriptional networks

Mesh:

Substances:

Year:  2019        PMID: 31369171     DOI: 10.1002/gcc.22794

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  7 in total

Review 1.  Preleukemic and leukemic evolution at the stem cell level.

Authors:  Jacob Stauber; John M Greally; Ulrich Steidl
Journal:  Blood       Date:  2021-02-25       Impact factor: 22.113

2.  The dynamic alteration of transcriptional regulation by crucial TFs during tumorigenesis of gastric cancer.

Authors:  Beiqin Yu; Wentao Dai; Li Pang; Qingqing Sang; Fangyuan Li; Junxian Yu; Haoran Feng; Jianfang Li; Junyi Hou; Chao Yan; Liping Su; Zhenggang Zhu; Yuan-Yuan Li; Bingya Liu
Journal:  Mol Med       Date:  2022-04-14       Impact factor: 6.354

3.  Endogenous retroviruses are a source of enhancers with oncogenic potential in acute myeloid leukaemia.

Authors:  Özgen Deniz; Mamataz Ahmed; Christopher D Todd; Ana Rio-Machin; Mark A Dawson; Miguel R Branco
Journal:  Nat Commun       Date:  2020-07-14       Impact factor: 14.919

4.  Biological characteristics of aging in human acute myeloid leukemia cells: the possible importance of aldehyde dehydrogenase, the cytoskeleton and altered transcriptional regulation.

Authors:  Maria Hernandez-Valladares; Elise Aasebø; Frode Berven; Frode Selheim; Øystein Bruserud
Journal:  Aging (Albany NY)       Date:  2020-12-20       Impact factor: 5.682

5.  Glycosphingolipid-Glycan Signatures of Acute Myeloid Leukemia Cell Lines Reflect Hematopoietic Differentiation.

Authors:  Di Wang; Tao Zhang; Katarina Madunić; Antonius A de Waard; Constantin Blöchl; Oleg A Mayboroda; Marieke Griffioen; Robbert M Spaapen; Christian G Huber; Guinevere S M Lageveen-Kammeijer; Manfred Wuhrer
Journal:  J Proteome Res       Date:  2022-02-15       Impact factor: 4.466

Review 6.  Super enhancers: Pathogenic roles and potential therapeutic targets for acute myeloid leukemia (AML).

Authors:  Ziyang Cao; Yi Shu; Jinxia Wang; Chunxia Wang; Tienan Feng; Li Yang; Jingbo Shao; Lin Zou
Journal:  Genes Dis       Date:  2022-03-23

7.  A KMT2A-AFF1 gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes.

Authors:  Joe R Harman; Ross Thorne; Max Jamilly; Marta Tapia; Nicholas T Crump; Siobhan Rice; Ryan Beveridge; Edward Morrissey; Marella F T R de Bruijn; Irene Roberts; Anindita Roy; Tudor A Fulga; Thomas A Milne
Journal:  Genome Res       Date:  2021-06-04       Impact factor: 9.043

  7 in total

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