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.

  • News & Views
  • Published:

PRECISION ONCOLOGY

Cancer cell lines as patient avatars for drug response prediction

Patient-derived cancer cell lines could address two major challenges in oncology: real-time drug response prediction and the creation of massive knowledge banks. A new study showcases the power of this approach for precision oncology.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: A wealth of biological models for cancer research.

References

  1. Hutter, C. & Zenklusen, J. C. Cell 173, 283–285 (2018).

    Article  CAS  Google Scholar 

  2. Sanchez-Vega, F. et al. Cell 173, 321–337 (2018).

    Article  CAS  Google Scholar 

  3. Iorio, F. et al. Cell 166, 740–754 (2016).

    Article  CAS  Google Scholar 

  4. Lee, J.-K. et al. Nat. Genet. https://doi.org/10.1038/s41588-018-0209-6 (2018).

  5. van de Wetering, M. et al. Cell 161, 933–945 (2015).

    Article  Google Scholar 

  6. Vlachogiannis, G. et al. Science 359, 920–926 (2018).

    Article  CAS  Google Scholar 

  7. Lee, S. H. et al. Cell 173, 515–528 (2018).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ultan McDermott.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

McDermott, U. Cancer cell lines as patient avatars for drug response prediction. Nat Genet 50, 1350–1351 (2018). https://doi.org/10.1038/s41588-018-0245-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41588-018-0245-2

This article is cited by

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer