Systematic identification of non-coding pharmacogenomic landscape in cancer

Yue Wang; Zehua Wang; Jieni Xu; Jiang Li; Song Li; Min Zhang; Da Yang

doi:10.1038/s41467-018-05495-9

Nature Communications (Aug 2018)

Systematic identification of non-coding pharmacogenomic landscape in cancer

Yue Wang,
Zehua Wang,
Jieni Xu,
Jiang Li,
Song Li,
Min Zhang,
Da Yang

Affiliations

Yue Wang: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Zehua Wang: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Jieni Xu: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Jiang Li: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Song Li: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Min Zhang: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh
Da Yang: Center of Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh

DOI: https://doi.org/10.1038/s41467-018-05495-9
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 15

Abstract

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In this study the authors build lncRNA-drug response models for 265 anti-cancer agents across 27 cancer types. They report their cancer cell line based lncRNA EN-models are able to effectively predict therapeutic outcome for breast cancer, ovarian cancer, endometrial cancer and stomach cancer patients.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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