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Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
BACKGROUND: Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood. RESULTS: Here, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340535/ https://www.ncbi.nlm.nih.gov/pubmed/34348664 http://dx.doi.org/10.1186/s12864-021-07876-9 |
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author | Dimitrakopoulos, Christos Hindupur, Sravanth Kumar Colombi, Marco Liko, Dritan Ng, Charlotte K. Y. Piscuoglio, Salvatore Behr, Jonas Moore, Ariane L. Singer, Jochen Ruscheweyh, Hans-Joachim Matter, Matthias S. Mossmann, Dirk Terracciano, Luigi M. Hall, Michael N. Beerenwinkel, Niko |
author_facet | Dimitrakopoulos, Christos Hindupur, Sravanth Kumar Colombi, Marco Liko, Dritan Ng, Charlotte K. Y. Piscuoglio, Salvatore Behr, Jonas Moore, Ariane L. Singer, Jochen Ruscheweyh, Hans-Joachim Matter, Matthias S. Mossmann, Dirk Terracciano, Luigi M. Hall, Michael N. Beerenwinkel, Niko |
author_sort | Dimitrakopoulos, Christos |
collection | PubMed |
description | BACKGROUND: Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood. RESULTS: Here, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 ‘mediators’ that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC. CONCLUSIONS: This study suggests that targeting pathways such as YAP1 or GRB2 signaling and pathways regulating global histone acetylation could be beneficial in treating HCC with hyperactive mTOR signaling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07876-9. |
format | Online Article Text |
id | pubmed-8340535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83405352021-08-06 Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma Dimitrakopoulos, Christos Hindupur, Sravanth Kumar Colombi, Marco Liko, Dritan Ng, Charlotte K. Y. Piscuoglio, Salvatore Behr, Jonas Moore, Ariane L. Singer, Jochen Ruscheweyh, Hans-Joachim Matter, Matthias S. Mossmann, Dirk Terracciano, Luigi M. Hall, Michael N. Beerenwinkel, Niko BMC Genomics Research Article BACKGROUND: Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood. RESULTS: Here, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 ‘mediators’ that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC. CONCLUSIONS: This study suggests that targeting pathways such as YAP1 or GRB2 signaling and pathways regulating global histone acetylation could be beneficial in treating HCC with hyperactive mTOR signaling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07876-9. BioMed Central 2021-08-04 /pmc/articles/PMC8340535/ /pubmed/34348664 http://dx.doi.org/10.1186/s12864-021-07876-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Dimitrakopoulos, Christos Hindupur, Sravanth Kumar Colombi, Marco Liko, Dritan Ng, Charlotte K. Y. Piscuoglio, Salvatore Behr, Jonas Moore, Ariane L. Singer, Jochen Ruscheweyh, Hans-Joachim Matter, Matthias S. Mossmann, Dirk Terracciano, Luigi M. Hall, Michael N. Beerenwinkel, Niko Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title | Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title_full | Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title_fullStr | Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title_full_unstemmed | Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title_short | Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
title_sort | multi-omics data integration reveals novel drug targets in hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340535/ https://www.ncbi.nlm.nih.gov/pubmed/34348664 http://dx.doi.org/10.1186/s12864-021-07876-9 |
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