Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

CANCER PROTEOMICS

Prognostic hallmarks in AML

Nature Biomedical Engineering volume 3, pages 847–849 (2019)Cite this article

Subjects

A data-clustering method that incorporates prior knowledge of biological context reveals prognostic signatures of proteomic expression in patients with acute myeloid leukaemia.

The prognosis of acute myeloid leukaemia (AML) currently relies on markers of cytogenetic abnormalities, on the patients’ ability to perform specific tasks, and on age, white-blood-cell counts and other biomarkers1. These evaluations are sufficient to stratify patients into three groups: favourable prognosis, intermediate prognosis and unfavourable prognosis2. New data sources (such as mutations in the genes FLT3, CEBPA and NPM1; ref. 3) are being explored to improve prognosis accuracy and to enable patient-specific treatment decisions. For example, recent strategies enable the stratification of patients with normal cytogenetics yet diverse survival rates3. Advances in gene-expression profiling are also better capturing the inter-patient and intra-patient variabilities in the mutations driving cancer3,4; however, these techniques cannot capture mechanisms of post-translational modification and regulation5, as the expression of a gene is not a reliable indicator of changes at the protein level.

This is a preview of subscription content

Access options

Buy article

Get time limited or full article access on ReadCube.

$32.00

Buy

All prices are NET prices.

Fig. 1: Overview of the MetaGalaxy analysis.
Fig. 2: Functional patterns observed in the hypoxia functional group.

References

  1. Liersch, R., Müller-Tidow, C., Berdel, W. E. & Krug, U. Br. J. Haematol. 165, 17–38 (2014).

    Article  Google Scholar 

  2. Grimwade, D. et al. Blood 92, 2322–2333 (1998).

    CAS  Article  Google Scholar 

  3. Mrózek, K., Marcucci, G., Paschka, P., Whitman, S. P. & Bloomfield, C. D. Blood 109, 431–448 (2007).

    Article  Google Scholar 

  4. Bullinger, L. et al. N. Engl. J. Med. 350, 1605–1616 (2004).

    CAS  Article  Google Scholar 

  5. Guhaniyogi, J. & Brewer, G. Gene 265, 11–23 (2001).

    CAS  Article  Google Scholar 

  6. Ding, J., Condon, A. & Shah, S. P. Nat. Commun. 9, 2002 (2018).

    Article  Google Scholar 

  7. Fan, J. & Li, R. in Proc. International Congress of Mathematicians 595–622 (European Mathematical Society, 2006).

  8. Hu, C. W. et al. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-019-0387-2 (2019).

    Article  PubMed  Google Scholar 

  9. Hoff, F. W. et al. Proteomics Clin. Appl. 13, e1800133 (2019).

    Article  Google Scholar 

  10. Kanehisa, M., Sato, Y., Furumichi, M., Morishima, K. & Tanabe, M. Nucleic Acids Res. 47, 590–595 (2019).

    Article  Google Scholar 

  11. Kanehisa, M. & Goto, S. Nucleic Acids Res. 28, 27–30 (2000).

    CAS  Article  Google Scholar 

  12. Hu, C. W., Kornblau, S. M., Slater, J. H. & Qutub, A. A. Sci. Rep. 5, 1–12 (2015).

    Google Scholar 

  13. Manzoni, C. et al. Brief. Bioinform. 19, 286–302 (2018).

    CAS  Article  Google Scholar 

  14. Hegde, P. S., White, I. R. & Debouck, C. Curr. Opin. Biotechnol. 14, 647–651 (2003).

    CAS  Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biochemistry, University of Cambridge, Cambridge, UK

    Matthew A. Clarke & Jasmin Fisher

  2. UCL Cancer Institute, University College London, London, UK

    Jasmin Fisher

Authors
  1. Matthew A. Clarke
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jasmin Fisher
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jasmin Fisher.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Clarke, M.A., Fisher, J. Prognostic hallmarks in AML. Nat Biomed Eng 3, 847–849 (2019). https://doi.org/10.1038/s41551-019-0474-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41551-019-0474-4

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing