IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33189-w.html
   My bibliography  Save this article

HOXA9 has the hallmarks of a biological switch with implications in blood cancers

Author

Listed:
  • Laure Talarmain

    (Peter MacCallum Cancer Centre)

  • Matthew A. Clarke

    (University College London, Paul O’Gorman Building)

  • David Shorthouse

    (University College London)

  • Lilia Cabrera-Cosme

    (University of York)

  • David G. Kent

    (University of York)

  • Jasmin Fisher

    (University College London, Paul O’Gorman Building)

  • Benjamin A. Hall

    (University College London)

Abstract

Blood malignancies arise from the dysregulation of haematopoiesis. The type of blood cell and the specific order of oncogenic events initiating abnormal growth ultimately determine the cancer subtype and subsequent clinical outcome. HOXA9 plays an important role in acute myeloid leukaemia (AML) prognosis by promoting blood cell expansion and altering differentiation; however, the function of HOXA9 in other blood malignancies is still unclear. Here, we highlight the biological switch and prognosis marker properties of HOXA9 in AML and chronic myeloproliferative neoplasms (MPN). First, we establish the ability of HOXA9 to stratify AML patients with distinct cellular and clinical outcomes. Then, through the use of a computational network model of MPN, we show that the self-activation of HOXA9 and its relationship to JAK2 and TET2 can explain the branching progression of JAK2/TET2 mutant MPN patients towards divergent clinical characteristics. Finally, we predict a connection between the RUNX1 and MYB genes and a suppressive role for the NOTCH pathway in MPN diseases.

Suggested Citation

  • Laure Talarmain & Matthew A. Clarke & David Shorthouse & Lilia Cabrera-Cosme & David G. Kent & Jasmin Fisher & Benjamin A. Hall, 2022. "HOXA9 has the hallmarks of a biological switch with implications in blood cancers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33189-w
    DOI: 10.1038/s41467-022-33189-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33189-w
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-33189-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael T. Bocker & Francesca Tuorto & Günter Raddatz & Tanja Musch & Feng-Chun Yang & Mingjiang Xu & Frank Lyko & Achim Breiling, 2012. "Hydroxylation of 5-methylcytosine by TET2 maintains the active state of the mammalian HOXA cluster," Nature Communications, Nature, vol. 3(1), pages 1-12, January.
    2. Apostolos Klinakis & Camille Lobry & Omar Abdel-Wahab & Philmo Oh & Hiroshi Haeno & Silvia Buonamici & Inge van De Walle & Severine Cathelin & Thomas Trimarchi & Elisa Araldi & Cynthia Liu & Sherif Ib, 2011. "A novel tumour-suppressor function for the Notch pathway in myeloid leukaemia," Nature, Nature, vol. 473(7346), pages 230-233, May.
    3. Wen Xiong & James E. Ferrell, 2003. "A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision," Nature, Nature, vol. 426(6965), pages 460-465, November.
    4. Jose Ameijeiras-Alonso & Rosa M. Crujeiras & Alberto Rodríguez-Casal, 2019. "Mode testing, critical bandwidth and excess mass," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 900-919, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel Y Choi & Thomas W Wittig & Bryan M Kluever, 2020. "An evaluation of bird and bat mortality at wind turbines in the Northeastern United States," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-22, August.
    2. Qingnan Liang & Yuefan Huang & Shan He & Ken Chen, 2023. "Pathway centric analysis for single-cell RNA-seq and spatial transcriptomics data with GSDensity," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Mikael Juselius & Nikola Tarashev, 2022. "When uncertainty decouples expected and unexpected losses," BIS Working Papers 995, Bank for International Settlements.
    4. Mikael Juselius & Nikola Tarashev, 2022. "When uncertainty decouples expected and unexpected losses," BIS Working Papers 995, Bank for International Settlements.
    5. Julian Ramajo & Miguel A. Marquez & Geoffrey J. D. Hewings, 2021. "Addressing spatial dependence in technical efficiency estimation: A Spatial DEA frontier approach," Papers 2103.14063, arXiv.org.
    6. Isaac Cortés & Jimmy Reyes & Yuri A. Iriarte, 2024. "A Weighted Skew-Logistic Distribution with Applications to Environmental Data," Mathematics, MDPI, vol. 12(9), pages 1-21, April.
    7. repec:zbw:bofrdp:2022_004 is not listed on IDEAS
    8. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2024. "Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    9. Vo, Duc Hong & Vo, Long Hai & Ho, Chi Minh, 2022. "Regional convergence of nonrenewable energy consumption in Vietnam," Energy Policy, Elsevier, vol. 169(C).
    10. Jiegen Wu & Baoqiang Chen & Yadi Liu & Liang Ma & Wen Huang & Yihan Lin, 2022. "Modulating gene regulation function by chemically controlled transcription factor clustering," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    11. Deng, Liyuan & Huo, Siyu & Chen, Aihua & Liu, Zonghua, 2024. "Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33189-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.