The pharmacodynamics of the p53-Mdm2 targeting drug Nutlin: the role of gene-switching noise
In this work we investigate, by means of a computational stochastic model, how tumor cells with wild-type p53 gene respond to the drug Nutlin, an agent that interferes with the Mdm2-mediated p53 regulation. In particular, we show how the stochastic gene-switching controlled by p53 can explain experi...
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description | In this work we investigate, by means of a computational stochastic model, how tumor cells with wild-type p53 gene respond to the drug Nutlin, an agent that interferes with the Mdm2-mediated p53 regulation. In particular, we show how the stochastic gene-switching controlled by p53 can explain experimental dose-response curves, i.e., the observed inter-cell variability of the cell viability under Nutlin action. The proposed model describes in some detail the regulation network of p53, including the negative feedback loop mediated by Mdm2 and the positive loop mediated by PTEN, as well as the reversible inhibition of Mdm2 caused by Nutlin binding. The fate of the individual cell is assumed to be decided by the rising of nuclear-phosphorylated p53 over a certain threshold. We also performed in silico experiments to evaluate the dose-response curve after a single drug dose delivered in mice, or after its fractionated administration. Our results suggest that dose-splitting may be ineffective at low doses and effective at high doses. This complex behavior can be due to the interplay among the existence of a threshold on the p53 level for its cell activity, the nonlinearity of the relationship between the bolus dose and the peak of active p53, and the relatively fast elimination of the drug. |
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In particular, we show how the stochastic gene-switching controlled by p53 can explain experimental dose-response curves, i.e., the observed inter-cell variability of the cell viability under Nutlin action. The proposed model describes in some detail the regulation network of p53, including the negative feedback loop mediated by Mdm2 and the positive loop mediated by PTEN, as well as the reversible inhibition of Mdm2 caused by Nutlin binding. The fate of the individual cell is assumed to be decided by the rising of nuclear-phosphorylated p53 over a certain threshold. We also performed in silico experiments to evaluate the dose-response curve after a single drug dose delivered in mice, or after its fractionated administration. Our results suggest that dose-splitting may be ineffective at low doses and effective at high doses. This complex behavior can be due to the interplay among the existence of a threshold on the p53 level for its cell activity, the nonlinearity of the relationship between the bolus dose and the peak of active p53, and the relatively fast elimination of the drug.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1003991</identifier><identifier>PMID: 25504419</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Animals ; Biology and Life Sciences ; Cell cycle ; Cell growth ; Cell Line, Tumor ; Computational Biology ; Dosage and administration ; Drug Delivery Systems ; Drug dosages ; Drug interactions ; Genes ; HCT116 Cells ; Humans ; Imidazole ; Imidazoles - pharmacokinetics ; Imidazoles - pharmacology ; Life Sciences ; Mathematical models ; Medicine and Health Sciences ; Mice ; Models, Biological ; Noise ; Pharmaceutical research ; Piperazines - pharmacokinetics ; Piperazines - pharmacology ; Proto-Oncogene Proteins c-mdm2 - genetics ; Proto-Oncogene Proteins c-mdm2 - metabolism ; Santé publique et épidémiologie ; Signal Transduction - drug effects ; Studies ; Tumor Suppressor Protein p53 - genetics ; Tumor Suppressor Protein p53 - metabolism ; Tumors</subject><ispartof>PLoS computational biology, 2014-12, Vol.10 (12), p.e1003991-e1003991</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2014 Puszynski et al 2014 Puszynski et al</rights><rights>2014 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Puszynski K, Gandolfi A, d'Onofrio A (2014) The Pharmacodynamics of the p53-Mdm2 Targeting Drug Nutlin: The Role of Gene-Switching Noise. 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In particular, we show how the stochastic gene-switching controlled by p53 can explain experimental dose-response curves, i.e., the observed inter-cell variability of the cell viability under Nutlin action. The proposed model describes in some detail the regulation network of p53, including the negative feedback loop mediated by Mdm2 and the positive loop mediated by PTEN, as well as the reversible inhibition of Mdm2 caused by Nutlin binding. The fate of the individual cell is assumed to be decided by the rising of nuclear-phosphorylated p53 over a certain threshold. We also performed in silico experiments to evaluate the dose-response curve after a single drug dose delivered in mice, or after its fractionated administration. Our results suggest that dose-splitting may be ineffective at low doses and effective at high doses. This complex behavior can be due to the interplay among the existence of a threshold on the p53 level for its cell activity, the nonlinearity of the relationship between the bolus dose and the peak of active p53, and the relatively fast elimination of the drug.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Cell cycle</subject><subject>Cell growth</subject><subject>Cell Line, Tumor</subject><subject>Computational Biology</subject><subject>Dosage and administration</subject><subject>Drug Delivery Systems</subject><subject>Drug dosages</subject><subject>Drug interactions</subject><subject>Genes</subject><subject>HCT116 Cells</subject><subject>Humans</subject><subject>Imidazole</subject><subject>Imidazoles - pharmacokinetics</subject><subject>Imidazoles - pharmacology</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Mice</subject><subject>Models, Biological</subject><subject>Noise</subject><subject>Pharmaceutical research</subject><subject>Piperazines - pharmacokinetics</subject><subject>Piperazines - pharmacology</subject><subject>Proto-Oncogene Proteins c-mdm2 - genetics</subject><subject>Proto-Oncogene Proteins c-mdm2 - metabolism</subject><subject>Santé publique et épidémiologie</subject><subject>Signal Transduction - drug effects</subject><subject>Studies</subject><subject>Tumor Suppressor Protein p53 - genetics</subject><subject>Tumor Suppressor Protein p53 - metabolism</subject><subject>Tumors</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqVkktv1DAUhSMEomXgHyCIxIYuZvAjduIukEYV0JGGIkHZIVmOHxlXiT3YTqH_HqczrTqIDfIi1sl3ztW9vkXxEoIFxDV8d-XH4ES_2MrWLiAAmDH4qDiGhOB5jUnz-MH9qHgW41VmSMPo0-IIEQKqCrLj4sflRpfbjQiDkF7dODFYGUtvyjTp2f5ZDahMInQ6WdeVKoxdeTGm3rrTWyb4Xk98p52ex182yc3EOW-jfl48MaKP-sX-Oyu-f_xweXY-X3_5tDpbrueS0jrNa6AJM0KpmlQKQ6k0UAK10rQGs6pVEisImaK6oYoggVGjsW5roBTAjakInhWvd7nb3ke-H0zkkDYkt1w1KBOrHaG8uOLbYAcRbrgXlt8KPnRchGRlrzkiqq6NVBQYVmEhWYNEZQQlTAnQZmlWvN9XG9tBK6ldCqI_CD384-yGd_6aV4hiTEEOONkFbP6ynS_XfNIARBQRQK9hZt_uiwX_c9Qx8cFGqfteOO3Hqcc8ooYiPE3hzQ7tRG7DOuNzdTnhfIkZJahu8BS4-AeVj9L56b3Txmb9wHByYMhM0r9TJ8YY-erb1_9gLw7ZasfK4GMM2tyPAgI-bfjdQ_Jpw_l-w7Pt1cPp35vuVhr_AdQR9rU</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Puszynski, Krzysztof</creator><creator>Gandolfi, Alberto</creator><creator>d'Onofrio, Alberto</creator><general>Public Library of Science</general><general>PLOS</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141201</creationdate><title>The pharmacodynamics of the p53-Mdm2 targeting drug Nutlin: the role of gene-switching noise</title><author>Puszynski, Krzysztof ; Gandolfi, Alberto ; d'Onofrio, Alberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c667t-70e59fadd754d31cde0da2bcfbf394bdc3d119d6e86d52a328e3eb70dd038f453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Biology and Life Sciences</topic><topic>Cell cycle</topic><topic>Cell growth</topic><topic>Cell Line, Tumor</topic><topic>Computational Biology</topic><topic>Dosage and administration</topic><topic>Drug Delivery Systems</topic><topic>Drug dosages</topic><topic>Drug interactions</topic><topic>Genes</topic><topic>HCT116 Cells</topic><topic>Humans</topic><topic>Imidazole</topic><topic>Imidazoles - pharmacokinetics</topic><topic>Imidazoles - pharmacology</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Mice</topic><topic>Models, Biological</topic><topic>Noise</topic><topic>Pharmaceutical research</topic><topic>Piperazines - pharmacokinetics</topic><topic>Piperazines - pharmacology</topic><topic>Proto-Oncogene Proteins c-mdm2 - genetics</topic><topic>Proto-Oncogene Proteins c-mdm2 - metabolism</topic><topic>Santé publique et épidémiologie</topic><topic>Signal Transduction - drug effects</topic><topic>Studies</topic><topic>Tumor Suppressor Protein p53 - genetics</topic><topic>Tumor Suppressor Protein p53 - metabolism</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Puszynski, Krzysztof</creatorcontrib><creatorcontrib>Gandolfi, Alberto</creatorcontrib><creatorcontrib>d'Onofrio, Alberto</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Puszynski, Krzysztof</au><au>Gandolfi, Alberto</au><au>d'Onofrio, Alberto</au><au>Wang, Edwin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The pharmacodynamics of the p53-Mdm2 targeting drug Nutlin: the role of gene-switching noise</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>10</volume><issue>12</issue><spage>e1003991</spage><epage>e1003991</epage><pages>e1003991-e1003991</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>In this work we investigate, by means of a computational stochastic model, how tumor cells with wild-type p53 gene respond to the drug Nutlin, an agent that interferes with the Mdm2-mediated p53 regulation. In particular, we show how the stochastic gene-switching controlled by p53 can explain experimental dose-response curves, i.e., the observed inter-cell variability of the cell viability under Nutlin action. The proposed model describes in some detail the regulation network of p53, including the negative feedback loop mediated by Mdm2 and the positive loop mediated by PTEN, as well as the reversible inhibition of Mdm2 caused by Nutlin binding. The fate of the individual cell is assumed to be decided by the rising of nuclear-phosphorylated p53 over a certain threshold. We also performed in silico experiments to evaluate the dose-response curve after a single drug dose delivered in mice, or after its fractionated administration. Our results suggest that dose-splitting may be ineffective at low doses and effective at high doses. This complex behavior can be due to the interplay among the existence of a threshold on the p53 level for its cell activity, the nonlinearity of the relationship between the bolus dose and the peak of active p53, and the relatively fast elimination of the drug.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25504419</pmid><doi>10.1371/journal.pcbi.1003991</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Animals Biology and Life Sciences Cell cycle Cell growth Cell Line, Tumor Computational Biology Dosage and administration Drug Delivery Systems Drug dosages Drug interactions Genes HCT116 Cells Humans Imidazole Imidazoles - pharmacokinetics Imidazoles - pharmacology Life Sciences Mathematical models Medicine and Health Sciences Mice Models, Biological Noise Pharmaceutical research Piperazines - pharmacokinetics Piperazines - pharmacology Proto-Oncogene Proteins c-mdm2 - genetics Proto-Oncogene Proteins c-mdm2 - metabolism Santé publique et épidémiologie Signal Transduction - drug effects Studies Tumor Suppressor Protein p53 - genetics Tumor Suppressor Protein p53 - metabolism Tumors |
title | The pharmacodynamics of the p53-Mdm2 targeting drug Nutlin: the role of gene-switching noise |
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