Skip to main content

Advertisement

Log in

Microbiome genomics for cancer prediction

  • Cancer in Translation
  • Published:

From Nature Cancer

View current issue Submit your manuscript

Although cancer genomics is a powerful tool to understand cancer and develop diagnostic tools, the contribution of the microbiome in cancer diagnosis and clinical assessment is much less studied. Elinav, Greten and colleagues provide their respective views on how studying cancer metagenomes could facilitate identification, diagnosis and staging of different tumor types.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1: Microbial DNA signatures from tissue and blood to classify cancer.

References

  1. Viaud, S. et al. Science 342, 971–976 (2013).

    Article  CAS  Google Scholar 

  2. Sivan, A. et al. Science 350, 1084–1089 (2015).

    Article  CAS  Google Scholar 

  3. Gopalakrishnan, V. et al. Science 359, 97–103 (2018).

    Article  CAS  Google Scholar 

  4. Poore, G. D. et al. Nature 579, 567–574 (2020).

    Article  CAS  Google Scholar 

  5. Bullman, S. et al. Science 358, 1443–1448 (2017).

    Article  CAS  Google Scholar 

  6. Eisenhofer, R. et al. Trends Microbiol. 27, 105–117 (2019).

    Article  CAS  Google Scholar 

  7. Geller, L. T. et al. Science 357, 1156–1160 (2017).

    Article  CAS  Google Scholar 

  8. Zeevi, D. et al. Cell 163, 1079–1094 (2015).

    Article  CAS  Google Scholar 

  9. Nemet, I. et al. Cell 180, 862–877.e22 (2020).

    Article  CAS  Google Scholar 

  10. Riquelme, E. et al. Cell 178, 795–806.12 (2019).

    Article  CAS  Google Scholar 

  11. Ma, C. et al. Science 360, eaan5931 (2018).

    Article  Google Scholar 

  12. Human Microbiome Project Consortium. Nature 486, 207–214 (2012).

    Article  Google Scholar 

  13. Roy, S. & Trinchieri, G. Nat. Rev. Cancer 17, 271–285 (2017).

    Article  CAS  Google Scholar 

  14. Pagès, F. et al. Lancet 391, 2128–2139 (2018).

    Article  Google Scholar 

Download references

Acknowledgements

L.A. received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie Grant Agreement No. 842203. E.E. is the incumbent of the Sir Marc and Lady Tania Feldmann Professorial Chair, a senior fellow at the Canadian Institute of Advanced Research (CIFAR) and an international scholar at the Bill & Melinda Gates Foundation and the Howard Hughes Medical Institute. T.F.G. is supported by the Intramural Research Program of the NIH, NCI (ZIA BC 011344).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Eran Elinav or Tim F. Greten.

Ethics declarations

Competing interests

E.E. is a scientific consultant for DayTwo and BiomX.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Adlung, L., Elinav, E., Greten, T.F. et al. Microbiome genomics for cancer prediction. Nat Cancer 1, 379–381 (2020). https://doi.org/10.1038/s43018-020-0059-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43018-020-0059-x

  • Springer Nature America, Inc.

This article is cited by

Navigation