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Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3

BACKGROUND: Small molecule Nutlin-3 reactivates p53 in cancer cells by interacting with the complex between p53 and its repressor Mdm-2 and causing an increase in cancer cell apoptosis. Therefore, Nutlin-3 has potent anticancer properties. Clinical and experimental studies of Nutlin-3 showed that so...

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Autores principales: Boyarskikh, Ulyana, Pintus, Sergey, Mandrik, Nikita, Stelmashenko, Daria, Kiselev, Ilya, Evshin, Ivan, Sharipov, Ruslan, Stegmaier, Philip, Kolpakov, Fedor, Filipenko, Maxim, Kel, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836833/
https://www.ncbi.nlm.nih.gov/pubmed/29504919
http://dx.doi.org/10.1186/s12920-018-0330-5
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author Boyarskikh, Ulyana
Pintus, Sergey
Mandrik, Nikita
Stelmashenko, Daria
Kiselev, Ilya
Evshin, Ivan
Sharipov, Ruslan
Stegmaier, Philip
Kolpakov, Fedor
Filipenko, Maxim
Kel, Alexander
author_facet Boyarskikh, Ulyana
Pintus, Sergey
Mandrik, Nikita
Stelmashenko, Daria
Kiselev, Ilya
Evshin, Ivan
Sharipov, Ruslan
Stegmaier, Philip
Kolpakov, Fedor
Filipenko, Maxim
Kel, Alexander
author_sort Boyarskikh, Ulyana
collection PubMed
description BACKGROUND: Small molecule Nutlin-3 reactivates p53 in cancer cells by interacting with the complex between p53 and its repressor Mdm-2 and causing an increase in cancer cell apoptosis. Therefore, Nutlin-3 has potent anticancer properties. Clinical and experimental studies of Nutlin-3 showed that some cancer cells may lose sensitivity to this compound. Here we analyze possible mechanisms for insensitivity of cancer cells to Nutlin-3. METHODS: We applied upstream analysis approach implemented in geneXplain platform (genexplain.com) using TRANSFAC® database of transcription factors and their binding sites in genome and using TRANSPATH® database of signal transduction network with associated software such as Match™ and Composite Module Analyst (CMA). RESULTS: Using genome-wide gene expression profiling we compared several lung cancer cell lines and showed that expression programs executed in Nutlin-3 insensitive cell lines significantly differ from that of Nutlin-3 sensitive cell lines. Using artificial intelligence approach embed in CMA software, we identified a set of transcription factors cooperatively binding to the promoters of genes up-regulated in the Nutlin-3 insensitive cell lines. Graph analysis of signal transduction network upstream of these transcription factors allowed us to identify potential master-regulators responsible for maintaining such low sensitivity to Nutlin-3 with the most promising candidate mTOR, which acts in the context of activated PI3K pathway. These finding were validated experimentally using an array of chemical inhibitors. CONCLUSIONS: We showed that the Nutlin-3 insensitive cell lines are actually highly sensitive to the dual PI3K/mTOR inhibitor NVP-BEZ235, while no responding to either PI3K –specific LY294002 nor Bcl-XL specific 2,3-DCPE compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0330-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-58368332018-03-07 Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3 Boyarskikh, Ulyana Pintus, Sergey Mandrik, Nikita Stelmashenko, Daria Kiselev, Ilya Evshin, Ivan Sharipov, Ruslan Stegmaier, Philip Kolpakov, Fedor Filipenko, Maxim Kel, Alexander BMC Med Genomics Research BACKGROUND: Small molecule Nutlin-3 reactivates p53 in cancer cells by interacting with the complex between p53 and its repressor Mdm-2 and causing an increase in cancer cell apoptosis. Therefore, Nutlin-3 has potent anticancer properties. Clinical and experimental studies of Nutlin-3 showed that some cancer cells may lose sensitivity to this compound. Here we analyze possible mechanisms for insensitivity of cancer cells to Nutlin-3. METHODS: We applied upstream analysis approach implemented in geneXplain platform (genexplain.com) using TRANSFAC® database of transcription factors and their binding sites in genome and using TRANSPATH® database of signal transduction network with associated software such as Match™ and Composite Module Analyst (CMA). RESULTS: Using genome-wide gene expression profiling we compared several lung cancer cell lines and showed that expression programs executed in Nutlin-3 insensitive cell lines significantly differ from that of Nutlin-3 sensitive cell lines. Using artificial intelligence approach embed in CMA software, we identified a set of transcription factors cooperatively binding to the promoters of genes up-regulated in the Nutlin-3 insensitive cell lines. Graph analysis of signal transduction network upstream of these transcription factors allowed us to identify potential master-regulators responsible for maintaining such low sensitivity to Nutlin-3 with the most promising candidate mTOR, which acts in the context of activated PI3K pathway. These finding were validated experimentally using an array of chemical inhibitors. CONCLUSIONS: We showed that the Nutlin-3 insensitive cell lines are actually highly sensitive to the dual PI3K/mTOR inhibitor NVP-BEZ235, while no responding to either PI3K –specific LY294002 nor Bcl-XL specific 2,3-DCPE compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0330-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-13 /pmc/articles/PMC5836833/ /pubmed/29504919 http://dx.doi.org/10.1186/s12920-018-0330-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Boyarskikh, Ulyana
Pintus, Sergey
Mandrik, Nikita
Stelmashenko, Daria
Kiselev, Ilya
Evshin, Ivan
Sharipov, Ruslan
Stegmaier, Philip
Kolpakov, Fedor
Filipenko, Maxim
Kel, Alexander
Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title_full Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title_fullStr Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title_full_unstemmed Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title_short Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
title_sort computational master-regulator search reveals mtor and pi3k pathways responsible for low sensitivity of nci-h292 and a427 lung cancer cell lines to cytotoxic action of p53 activator nutlin-3
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836833/
https://www.ncbi.nlm.nih.gov/pubmed/29504919
http://dx.doi.org/10.1186/s12920-018-0330-5
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