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Inconsistency in large pharmacogenomic studies
Open accessAbstract
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.
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“Even when marker-based predictions can be made, they do not guarantee patient response, as many are the result of correlations from population-based studies4, 5.”
From Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate (2016) · cites this paper as [5]
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Research works printed but not linked: 1
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Metadata
- Authors
- Haibe-Kains, B., El-Hachem, N., Birkbak, N. J., Jin, A. C., Beck, A. H., Aerts, H. J. W. L., & Quackenbush, J.
- Affiliations
- Technical University of Denmark (DK)
- Beth Israel Deaconess Medical Center (US)
- Brigham and Women's Hospital (US)
- Dana-Farber Cancer Institute (US)
- Venue
- Nature
- Published
- 2013-11-27
- Volume
- 504
- Issue
- 7480
- Pages
- 389-393
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4237165
- OpenAlex
- W2011474181
- Cited by
- 499
- References
- 18
- Citations by year
- 2026: 16 · 2025: 16 · 2024: 14 · 2023: 30 · 2022: 33 · 2021: 44 · 2020: 41 · 2019: 43 · 2018: 51 · 2017: 58 · 2016: 60 · 2015: 46 · 2014: 43 · 2013: 4
- FWCI
- 55.38
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- Funders
- National Cancer Institute (CA 087969, U19CA148065, P01CA087969)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Keywords
- pharmacogenomics, cancer cell lines, drug sensitivity, data inconsistency, drug response biomarkers, anticancer drug selection, drug-gene interactions
- MeSH terms
- Antineoplastic Agents, Cell Line, Humans, Neoplasms, Pharmacogenetics, Reproducibility of Results, Genome, Human, Drug Resistance, Neoplasm, Area Under Curve, Inhibitory Concentration 50, Gene Expression Profiling
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