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Integrated systems‐genetic analyses reveal a network target for delaying glioma progression

OBJECTIVE: To identify a convergent, multitarget proliferation characteristic for astrocytoma transformation that could be targeted for therapy discovery. METHODS: Using an integrated functional genomics approach, we prioritized networks associated with astrocytoma progression using the following cr...

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Autores principales: Laaniste, Liisi, Srivastava, Prashant K., Stylianou, Julianna, Syed, Nelofer, Cases‐Cunillera, Silvia, Shkura, Kirill, Zeng, Qingyu, Rackham, Owen J. L., Langley, Sarah R., Delahaye-Duriez, Andree, O'Neill, Kevin, Williams, Matthew, Becker, Albert, Roncaroli, Federico, Petretto, Enrico, Johnson, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764637/
https://www.ncbi.nlm.nih.gov/pubmed/31420939
http://dx.doi.org/10.1002/acn3.50850
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author Laaniste, Liisi
Srivastava, Prashant K.
Stylianou, Julianna
Syed, Nelofer
Cases‐Cunillera, Silvia
Shkura, Kirill
Zeng, Qingyu
Rackham, Owen J. L.
Langley, Sarah R.
Delahaye-Duriez, Andree
O'Neill, Kevin
Williams, Matthew
Becker, Albert
Roncaroli, Federico
Petretto, Enrico
Johnson, Michael R.
author_facet Laaniste, Liisi
Srivastava, Prashant K.
Stylianou, Julianna
Syed, Nelofer
Cases‐Cunillera, Silvia
Shkura, Kirill
Zeng, Qingyu
Rackham, Owen J. L.
Langley, Sarah R.
Delahaye-Duriez, Andree
O'Neill, Kevin
Williams, Matthew
Becker, Albert
Roncaroli, Federico
Petretto, Enrico
Johnson, Michael R.
author_sort Laaniste, Liisi
collection PubMed
description OBJECTIVE: To identify a convergent, multitarget proliferation characteristic for astrocytoma transformation that could be targeted for therapy discovery. METHODS: Using an integrated functional genomics approach, we prioritized networks associated with astrocytoma progression using the following criteria: differential co‐expression between grade II and grade III IDH1‐mutated and 1p/19q euploid astrocytomas, preferential enrichment for genetic risk to cancer, association with patient survival and sample‐level genomic features. Drugs targeting the identified multitarget network characteristic for astrocytoma transformation were computationally predicted using drug transcriptional perturbation data and validated using primary human astrocytoma cells. RESULTS: A single network, M2, consisting of 177 genes, was associated with glioma progression on the basis of the above criteria. Functionally, M2 encoded physically interacting proteins regulating cell cycle processes and analysis of genome‐wide gene‐regulatory interactions using mutual information and DNA–protein interactions revealed the known regulators of cell cycle processes FoxM1, B‐Myb, and E2F2 as key regulators of M2. These results suggest functional disruption of M2 via gene mutation or altered expression as a convergent pathway regulating astrocytoma transformation. By considering M2 as a multitarget drug target regulating astrocytoma transformation, we identified several drugs that are predicted to restore M2 expression in anaplastic astrocytoma toward its low‐grade profile and of these, we validated the known antiproliferative drug resveratrol as down‐regulating multiple nodes of M2 including at nanomolar concentrations achievable in human cerebrospinal fluid by oral dosing. INTERPRETATION: Our results identify M2 as a multitarget network characteristic for astrocytoma progression and encourage M2‐based drug screening to identify new compounds for preventing glioma transformation.
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spelling pubmed-67646372019-09-30 Integrated systems‐genetic analyses reveal a network target for delaying glioma progression Laaniste, Liisi Srivastava, Prashant K. Stylianou, Julianna Syed, Nelofer Cases‐Cunillera, Silvia Shkura, Kirill Zeng, Qingyu Rackham, Owen J. L. Langley, Sarah R. Delahaye-Duriez, Andree O'Neill, Kevin Williams, Matthew Becker, Albert Roncaroli, Federico Petretto, Enrico Johnson, Michael R. Ann Clin Transl Neurol Research Articles OBJECTIVE: To identify a convergent, multitarget proliferation characteristic for astrocytoma transformation that could be targeted for therapy discovery. METHODS: Using an integrated functional genomics approach, we prioritized networks associated with astrocytoma progression using the following criteria: differential co‐expression between grade II and grade III IDH1‐mutated and 1p/19q euploid astrocytomas, preferential enrichment for genetic risk to cancer, association with patient survival and sample‐level genomic features. Drugs targeting the identified multitarget network characteristic for astrocytoma transformation were computationally predicted using drug transcriptional perturbation data and validated using primary human astrocytoma cells. RESULTS: A single network, M2, consisting of 177 genes, was associated with glioma progression on the basis of the above criteria. Functionally, M2 encoded physically interacting proteins regulating cell cycle processes and analysis of genome‐wide gene‐regulatory interactions using mutual information and DNA–protein interactions revealed the known regulators of cell cycle processes FoxM1, B‐Myb, and E2F2 as key regulators of M2. These results suggest functional disruption of M2 via gene mutation or altered expression as a convergent pathway regulating astrocytoma transformation. By considering M2 as a multitarget drug target regulating astrocytoma transformation, we identified several drugs that are predicted to restore M2 expression in anaplastic astrocytoma toward its low‐grade profile and of these, we validated the known antiproliferative drug resveratrol as down‐regulating multiple nodes of M2 including at nanomolar concentrations achievable in human cerebrospinal fluid by oral dosing. INTERPRETATION: Our results identify M2 as a multitarget network characteristic for astrocytoma progression and encourage M2‐based drug screening to identify new compounds for preventing glioma transformation. John Wiley and Sons Inc. 2019-08-17 /pmc/articles/PMC6764637/ /pubmed/31420939 http://dx.doi.org/10.1002/acn3.50850 Text en © 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Laaniste, Liisi
Srivastava, Prashant K.
Stylianou, Julianna
Syed, Nelofer
Cases‐Cunillera, Silvia
Shkura, Kirill
Zeng, Qingyu
Rackham, Owen J. L.
Langley, Sarah R.
Delahaye-Duriez, Andree
O'Neill, Kevin
Williams, Matthew
Becker, Albert
Roncaroli, Federico
Petretto, Enrico
Johnson, Michael R.
Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title_full Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title_fullStr Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title_full_unstemmed Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title_short Integrated systems‐genetic analyses reveal a network target for delaying glioma progression
title_sort integrated systems‐genetic analyses reveal a network target for delaying glioma progression
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764637/
https://www.ncbi.nlm.nih.gov/pubmed/31420939
http://dx.doi.org/10.1002/acn3.50850
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