Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of cellular diversity for genetic and phenotypic features

Cancer therapy exerts a strong selection pressure that shapes tumor evolution, yet our knowledge of how tumors change during treatment is limited. Here we report the analysis of cellular heterogeneity for genetic and phenotypic features and their spatial distribution in breast tumors pre- and post-n...

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Bibliografische gegevens
Hoofdauteurs: Almendro, Vanessa, Cheng, Yu-Kang, Randles, Amanda, Itzkovitz, Shalev, Marusyk, Andriy, Ametller, Elisabet, Gonzalez-Farre, Xavier, Muñoz, Montse, Russnes, Hege G., Helland, Åslaug, Rye, Inga H., Borresen-Dale, Anne-Lise, Maruyama, Reo, van Oudenaarden, Alexander, Dowsett, Mitchell, Jones, Robin L., Reis-Filho, Jorge, Gascon, Pere, Gönen, Mithat, Michor, Franziska, Polyak, Kornelia
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2014
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3928845/
https://ncbi.nlm.nih.gov/pubmed/24462293
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.celrep.2013.12.041
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