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Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance
BACKGROUND: Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understanding the time course of molecular changes responsible for t...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966898/ https://www.ncbi.nlm.nih.gov/pubmed/29792227 http://dx.doi.org/10.1186/s13073-018-0545-2 |
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author | Stein-O’Brien, Genevieve Kagohara, Luciane T. Li, Sijia Thakar, Manjusha Ranaweera, Ruchira Ozawa, Hiroyuki Cheng, Haixia Considine, Michael Schmitz, Sandra Favorov, Alexander V. Danilova, Ludmila V. Califano, Joseph A. Izumchenko, Evgeny Gaykalova, Daria A. Chung, Christine H. Fertig, Elana J. |
author_facet | Stein-O’Brien, Genevieve Kagohara, Luciane T. Li, Sijia Thakar, Manjusha Ranaweera, Ruchira Ozawa, Hiroyuki Cheng, Haixia Considine, Michael Schmitz, Sandra Favorov, Alexander V. Danilova, Ludmila V. Califano, Joseph A. Izumchenko, Evgeny Gaykalova, Daria A. Chung, Christine H. Fertig, Elana J. |
author_sort | Stein-O’Brien, Genevieve |
collection | PubMed |
description | BACKGROUND: Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understanding the time course of molecular changes responsible for the development of acquired resistance could enable optimization of patients’ treatment options. Clinically, acquired therapeutic resistance can only be studied at a single time point in resistant tumors. METHODS: To determine the dynamics of these molecular changes, we obtained high throughput omics data (RNA-sequencing and DNA methylation) weekly during the development of cetuximab resistance in a head and neck cancer in vitro model. The CoGAPS unsupervised algorithm was used to determine the dynamics of the molecular changes associated with resistance during the time course of resistance development. RESULTS: CoGAPS was used to quantify the evolving transcriptional and epigenetic changes. Applying a PatternMarker statistic to the results from CoGAPS enabled novel heatmap-based visualization of the dynamics in these time course omics data. We demonstrate that transcriptional changes result from immediate therapeutic response or resistance, whereas epigenetic alterations only occur with resistance. Integrated analysis demonstrates delayed onset of changes in DNA methylation relative to transcription, suggesting that resistance is stabilized epigenetically. CONCLUSIONS: Genes with epigenetic alterations associated with resistance that have concordant expression changes are hypothesized to stabilize the resistant phenotype. These genes include FGFR1, which was associated with EGFR inhibitors resistance previously. Thus, integrated omics analysis distinguishes the timing of molecular drivers of resistance. This understanding of the time course progression of molecular changes in acquired resistance is important for the development of alternative treatment strategies that would introduce appropriate selection of new drugs to treat cancer before the resistant phenotype develops. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0545-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5966898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59668982018-05-24 Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance Stein-O’Brien, Genevieve Kagohara, Luciane T. Li, Sijia Thakar, Manjusha Ranaweera, Ruchira Ozawa, Hiroyuki Cheng, Haixia Considine, Michael Schmitz, Sandra Favorov, Alexander V. Danilova, Ludmila V. Califano, Joseph A. Izumchenko, Evgeny Gaykalova, Daria A. Chung, Christine H. Fertig, Elana J. Genome Med Research BACKGROUND: Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understanding the time course of molecular changes responsible for the development of acquired resistance could enable optimization of patients’ treatment options. Clinically, acquired therapeutic resistance can only be studied at a single time point in resistant tumors. METHODS: To determine the dynamics of these molecular changes, we obtained high throughput omics data (RNA-sequencing and DNA methylation) weekly during the development of cetuximab resistance in a head and neck cancer in vitro model. The CoGAPS unsupervised algorithm was used to determine the dynamics of the molecular changes associated with resistance during the time course of resistance development. RESULTS: CoGAPS was used to quantify the evolving transcriptional and epigenetic changes. Applying a PatternMarker statistic to the results from CoGAPS enabled novel heatmap-based visualization of the dynamics in these time course omics data. We demonstrate that transcriptional changes result from immediate therapeutic response or resistance, whereas epigenetic alterations only occur with resistance. Integrated analysis demonstrates delayed onset of changes in DNA methylation relative to transcription, suggesting that resistance is stabilized epigenetically. CONCLUSIONS: Genes with epigenetic alterations associated with resistance that have concordant expression changes are hypothesized to stabilize the resistant phenotype. These genes include FGFR1, which was associated with EGFR inhibitors resistance previously. Thus, integrated omics analysis distinguishes the timing of molecular drivers of resistance. This understanding of the time course progression of molecular changes in acquired resistance is important for the development of alternative treatment strategies that would introduce appropriate selection of new drugs to treat cancer before the resistant phenotype develops. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0545-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-23 /pmc/articles/PMC5966898/ /pubmed/29792227 http://dx.doi.org/10.1186/s13073-018-0545-2 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 Stein-O’Brien, Genevieve Kagohara, Luciane T. Li, Sijia Thakar, Manjusha Ranaweera, Ruchira Ozawa, Hiroyuki Cheng, Haixia Considine, Michael Schmitz, Sandra Favorov, Alexander V. Danilova, Ludmila V. Califano, Joseph A. Izumchenko, Evgeny Gaykalova, Daria A. Chung, Christine H. Fertig, Elana J. Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title | Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title_full | Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title_fullStr | Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title_full_unstemmed | Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title_short | Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
title_sort | integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966898/ https://www.ncbi.nlm.nih.gov/pubmed/29792227 http://dx.doi.org/10.1186/s13073-018-0545-2 |
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