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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Nature Portfolio
2018
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oai:doaj.org-article:27c294a5f7c843d6a3a8dc34a08977c62021-12-02T17:32:49ZDrug and disease signature integration identifies synergistic combinations in glioblastoma10.1038/s41467-018-07659-z2041-1723https://doaj.org/article/27c294a5f7c843d6a3a8dc34a08977c62018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07659-zhttps://doaj.org/toc/2041-1723Inherent 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.Vasileios StathiasAnna M. JermakowiczMarie E. MaloofMichele ForlinWinston WaltersRobert K. SuterMichael A. DuranteSion L. WilliamsJ. William HarbourClaude-Henry VolmarNicholas J. LyonsClaes WahlestedtRegina M. GrahamMichael E. IvanRicardo J. KomotarJann N. SarkariaAravind SubramanianTodd R. GolubStephan C. SchürerNagi G. AyadNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018) |
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DOAJ |
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DOAJ |
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EN |
topic |
Science Q |
spellingShingle |
Science Q 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 |
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. |
format |
article |
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 |
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 Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/27c294a5f7c843d6a3a8dc34a08977c6 |
work_keys_str_mv |
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