A Landscape of Pharmacogenomic Interactions in Cancer

A Landscape of Pharmacogenomic Interactions in Cancer

July 28, 2016 | Francesco Iorio, Theo A. Knijnenburg, Daniel J. Vis, ..., Julio Saez-Rodriguez, Ultan McDermott, Mathew J. Garnett
This study integrates heterogeneous molecular data from 11,289 tumors and 1,001 cancer cell lines to explore the pharmacogenomic landscape of cancer. The researchers identified numerous oncogenic alterations that sensitize or resist anti-cancer drugs and highlighted the importance of tissue lineage in mediating drug response. Logic-based modeling and machine learning were used to uncover combinations of alterations that enhance drug sensitivity and to determine the relative importance of different molecular data types in predicting drug response. The study provides a rich resource for identifying therapeutic options for selected cancer sub-populations, linking genotypes with cellular phenotypes, and advancing the development of precision medicine.This study integrates heterogeneous molecular data from 11,289 tumors and 1,001 cancer cell lines to explore the pharmacogenomic landscape of cancer. The researchers identified numerous oncogenic alterations that sensitize or resist anti-cancer drugs and highlighted the importance of tissue lineage in mediating drug response. Logic-based modeling and machine learning were used to uncover combinations of alterations that enhance drug sensitivity and to determine the relative importance of different molecular data types in predicting drug response. The study provides a rich resource for identifying therapeutic options for selected cancer sub-populations, linking genotypes with cellular phenotypes, and advancing the development of precision medicine.
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