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Cancer cell lines as patient avatars for drug response prediction

Nature Geneticsvolume 50pages13501351 (2018) | Download Citation

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.

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  1. 1.

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

  2. 2.

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

  3. 3.

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

  4. 4.

    Lee, J.-K. et al. Nat. Genet. (2018).

  5. 5.

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

  6. 6.

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

  7. 7.

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

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Author information


  1. IMED Oncology, AstraZeneca, Cambridge, UK

    • Ultan McDermott


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The author declares no competing interests.

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Correspondence to Ultan McDermott.

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