Drug and disease signature integration identifies synergistic combinations in glioblastoma
Inherent or acquired resistance to treatment of glioblastoma (GBM) is nearly universal. Here, the authors introduce a platform to identify synergistic drug combinations for patient-specific treatment of GBM based on gene expression signatures and small molecule perturbation-response profiles.
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2018-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-07659-z |
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doaj-27c294a5f7c843d6a3a8dc34a08977c6 |
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doaj-27c294a5f7c843d6a3a8dc34a08977c62021-05-11T10:28:12ZengNature Publishing GroupNature Communications2041-17232018-12-019111310.1038/s41467-018-07659-zDrug and disease signature integration identifies synergistic combinations in glioblastomaVasileios Stathias0Anna M. Jermakowicz1Marie E. Maloof2Michele Forlin3Winston Walters4Robert K. Suter5Michael A. Durante6Sion L. Williams7J. William Harbour8Claude-Henry Volmar9Nicholas J. Lyons10Claes Wahlestedt11Regina M. Graham12Michael E. Ivan13Ricardo J. Komotar14Jann N. Sarkaria15Aravind Subramanian16Todd R. Golub17Stephan C. Schürer18Nagi G. Ayad19Center for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineDepartment of Molecular and Cellular Pharmacology, Center for Computational Science, University of Miami Miller School of MedicineUniversity of Miami Brain Tumor Initiative, Department of Neurosurgery, University of Miami Miller School of MedicineSylvester Comprehensive Cancer Center, University of Miami Miller School of MedicineBascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, Interdisciplinary Stem Cell Institute, University of Miami Miller School of MedicineSylvester Comprehensive Cancer Center, University of Miami Miller School of MedicineBascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, Interdisciplinary Stem Cell Institute, University of Miami Miller School of MedicineCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineBroad Institute of Harvard and MITCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineSylvester Comprehensive Cancer Center, University of Miami Miller School of MedicineSylvester Comprehensive Cancer Center, University of Miami Miller School of MedicineSylvester Comprehensive Cancer Center, University of Miami Miller School of MedicineDepartment of Radiation Oncology, Mayo ClinicBroad Institute of Harvard and MITBroad Institute of Harvard and MITCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineCenter for Therapeutic Innovation, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of MedicineInherent or acquired resistance to treatment of glioblastoma (GBM) is nearly universal. Here, the authors introduce a platform to identify synergistic drug combinations for patient-specific treatment of GBM based on gene expression signatures and small molecule perturbation-response profiles.https://doi.org/10.1038/s41467-018-07659-z |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Vasileios Stathias Anna M. Jermakowicz Marie E. Maloof Michele Forlin Winston Walters Robert K. Suter Michael A. Durante Sion L. Williams J. William Harbour Claude-Henry Volmar Nicholas J. Lyons Claes Wahlestedt Regina M. Graham Michael E. Ivan Ricardo J. Komotar Jann N. Sarkaria Aravind Subramanian Todd R. Golub Stephan C. Schürer Nagi G. Ayad |
| spellingShingle |
Vasileios Stathias Anna M. Jermakowicz Marie E. Maloof Michele Forlin Winston Walters Robert K. Suter Michael A. Durante Sion L. Williams J. William Harbour Claude-Henry Volmar Nicholas J. Lyons Claes Wahlestedt Regina M. Graham Michael E. Ivan Ricardo J. Komotar Jann N. Sarkaria Aravind Subramanian Todd R. Golub Stephan C. Schürer Nagi G. Ayad Drug and disease signature integration identifies synergistic combinations in glioblastoma Nature Communications |
| author_facet |
Vasileios Stathias Anna M. Jermakowicz Marie E. Maloof Michele Forlin Winston Walters Robert K. Suter Michael A. Durante Sion L. Williams J. William Harbour Claude-Henry Volmar Nicholas J. Lyons Claes Wahlestedt Regina M. Graham Michael E. Ivan Ricardo J. Komotar Jann N. Sarkaria Aravind Subramanian Todd R. Golub Stephan C. Schürer Nagi G. Ayad |
| author_sort |
Vasileios Stathias |
| title |
Drug and disease signature integration identifies synergistic combinations in glioblastoma |
| title_short |
Drug and disease signature integration identifies synergistic combinations in glioblastoma |
| title_full |
Drug and disease signature integration identifies synergistic combinations in glioblastoma |
| title_fullStr |
Drug and disease signature integration identifies synergistic combinations in glioblastoma |
| title_full_unstemmed |
Drug and disease signature integration identifies synergistic combinations in glioblastoma |
| title_sort |
drug and disease signature integration identifies synergistic combinations in glioblastoma |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2018-12-01 |
| description |
Inherent or acquired resistance to treatment of glioblastoma (GBM) is nearly universal. Here, the authors introduce a platform to identify synergistic drug combinations for patient-specific treatment of GBM based on gene expression signatures and small molecule perturbation-response profiles. |
| url |
https://doi.org/10.1038/s41467-018-07659-z |
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