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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References
Hutter, C. & Zenklusen, J. C. Cell 173, 283–285 (2018).
Sanchez-Vega, F. et al. Cell 173, 321–337 (2018).
Iorio, F. et al. Cell 166, 740–754 (2016).
Lee, J.-K. et al. Nat. Genet. https://doi.org/10.1038/s41588-018-0209-6 (2018).
van de Wetering, M. et al. Cell 161, 933–945 (2015).
Vlachogiannis, G. et al. Science 359, 920–926 (2018).
Lee, S. H. et al. Cell 173, 515–528 (2018).
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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
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DOI: https://doi.org/10.1038/s41588-018-0245-2
