title: Inconsistency in large pharmacogenomic studies.
abstract: Two large-scale pharmacogenomic studies were published recently in this journal. Genomic data are well correlated between studies; however, the measured drug response data are highly discordant. Although the source of inconsistencies remains uncertain, it has potential implications for using these outcome measures to assess gene-drug associations or select potential anticancer drugs on the basis of their reported results.
authors.affiliation: 1] Institut de Recherches Cliniques de Montréal, University of Montreal, Montreal, Quebec, Canada [2] Ontario Cancer Institute, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5G 2M9, Canada.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Haibe-Kains
authors.affiliation: Institut de Recherches Cliniques de Montréal, University of Montreal, Montreal, Quebec, Canada.
authors.forename: Nehme
authors.initials: N
authors.lastname: El-Hachem
authors.affiliation: Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.
authors.forename: Nicolai Juul
authors.initials: NJ
authors.lastname: Birkbak
authors.affiliation: Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02215, USA.
authors.forename: Andrew C
authors.initials: AC
authors.lastname: Jin
authors.affiliation: 1] Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02215, USA [2].
authors.forename: Andrew H
authors.initials: AH
authors.lastname: Beck
authors.affiliation: 1] Department of Biostatistics and Computational Biology and Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Radiation Oncology & Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA [3] Department of Radiation Oncology, Maastricht University, Maastricht 6200 MD, The Netherlands [4].
authors.forename: Hugo J W L
authors.initials: HJ
authors.lastname: Aerts
authors.affiliation: 1] Department of Biostatistics and Computational Biology and Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [3].
authors.forename: John
authors.initials: J
authors.lastname: Quackenbush
mesh_terms: D000970:Antineoplastic Agents / Q000494:pharmacology*; D019540:Area Under Curve; D002460:Cell Line; D019008:Drug Resistance, Neoplasm / Q000187:drug effects / Q000235:genetics; D020869:Gene Expression Profiling; D015894:Genome, Human / Q000235:genetics; D006801:Humans; D020128:Inhibitory Concentration 50; D009369:Neoplasms / Q000188:drug therapy / Q000235:genetics / Q000473:pathology; D010597:Pharmacogenetics; D015203:Reproducibility of Results
chemical_list: D000970:Antineoplastic Agents