Cell
Volume 166, Issue 3, 28 July 2016, Pages 740-754
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A Landscape of Pharmacogenomic Interactions in Cancer

https://doi.org/10.1016/j.cell.2016.06.017Get rights and content
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Highlights

  • We integrate heterogeneous molecular data of 11,289 tumors and 1,001 cell lines

  • We measure the response of 1,001 cancer cell lines to 265 anti-cancer drugs

  • We uncover numerous oncogenic aberrations that sensitize to an anti-cancer drug

  • Our study forms a resource to identify therapeutic options for cancer sub-populations

Summary

Systematic studies of cancer genomes have provided unprecedented insights into the molecular nature of cancer. Using this information to guide the development and application of therapies in the clinic is challenging. Here, we report how cancer-driven alterations identified in 11,289 tumors from 29 tissues (integrating somatic mutations, copy number alterations, DNA methylation, and gene expression) can be mapped onto 1,001 molecularly annotated human cancer cell lines and correlated with sensitivity to 265 drugs. We find that cell lines faithfully recapitulate oncogenic alterations identified in tumors, find that many of these associate with drug sensitivity/resistance, and highlight the importance of tissue lineage in mediating drug response. Logic-based modeling uncovers combinations of alterations that sensitize to drugs, while machine learning demonstrates the relative importance of different data types in predicting drug response. Our analysis and datasets are rich resources to link genotypes with cellular phenotypes and to identify therapeutic options for selected cancer sub-populations.

Cited by (0)

17

Present address: Bioinformatics and Biostatistics Hub, C3BI, USR 3756 IP CNRS, Institut Pasteur, 75015 Paris, France

18

Present address: Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, 361102 Xiamen, China

19

Present address: Institute of Molecular Biology, Mainz 55128, Germany

20

Co-first author

21

Co-senior author