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Assessment of pharmacogenomic agreement [version 1; referees: 3 approved]

Authors :
Zhaleh Safikhani
Nehme El-Hachem
Rene Quevedo
Petr Smirnov
Anna Goldenberg
Nicolai Juul Birkbak
Christopher Mason
Christos Hatzis
Leming Shi
Hugo JWL Aerts
John Quackenbush
Benjamin Haibe-Kains
Source :
F1000Research, Vol 5 (2016)
Publication Year :
2016
Publisher :
F1000 Research Ltd, 2016.

Abstract

In 2013 we published an analysis demonstrating that drug response data and gene-drug associations reported in two independent large-scale pharmacogenomic screens, Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Cell Line Encyclopedia (CCLE), were inconsistent. The GDSC and CCLE investigators recently reported that their respective studies exhibit reasonable agreement and yield similar molecular predictors of drug response, seemingly contradicting our previous findings. Reanalyzing the authors’ published methods and results, we found that their analysis failed to account for variability in the genomic data and more importantly compared different drug sensitivity measures from each study, which substantially deviate from our more stringent consistency assessment. Our comparison of the most updated genomic and pharmacological data from the GDSC and CCLE confirms our published findings that the measures of drug response reported by these two groups are not consistent. We believe that a principled approach to assess the reproducibility of drug sensitivity predictors is necessary before envisioning their translation into clinical settings.

Details

Language :
English
ISSN :
20461402
Volume :
5
Database :
Directory of Open Access Journals
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
edsdoj.4ff889a58ef74aa58f2a2faddabae771
Document Type :
article
Full Text :
https://doi.org/10.12688/f1000research.8705.1