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A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma

BACKGROUND: Oncogenes promote the development of therapeutic targets against subsets of cancers. Only several hundred oncogenes have been identified, primarily via mutation-based approaches, in the human genome. Transcriptional overexpression is a less-explored mechanism through which oncogenes can...

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Autores principales: Piqué, Daniel G., Montagna, Cristina, Greally, John M., Mar, Jessica C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462018/
https://www.ncbi.nlm.nih.gov/pubmed/30820027
http://dx.doi.org/10.1038/s41416-019-0387-8
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author Piqué, Daniel G.
Montagna, Cristina
Greally, John M.
Mar, Jessica C.
author_facet Piqué, Daniel G.
Montagna, Cristina
Greally, John M.
Mar, Jessica C.
author_sort Piqué, Daniel G.
collection PubMed
description BACKGROUND: Oncogenes promote the development of therapeutic targets against subsets of cancers. Only several hundred oncogenes have been identified, primarily via mutation-based approaches, in the human genome. Transcriptional overexpression is a less-explored mechanism through which oncogenes can arise. METHODS: Here, a new statistical approach, termed oncomix, which captures transcriptional heterogeneity in tumour and adjacent normal (i.e., tumour-free) mRNA expression profiles, was developed to identify oncogene candidates that were overexpressed in a subset of breast tumours. RESULTS: Intronic DNA methylation was strongly associated with the overexpression of chromobox 2 (CBX2), an oncogene candidate that was identified using our method but not through prior analytical approaches. CBX2 overexpression in breast tumours was associated with the upregulation of genes involved in cell cycle progression and with poorer 5-year survival. The predicted function of CBX2 was confirmed in vitro, providing the first experimental evidence that CBX2 promotes breast cancer cell growth. CONCLUSIONS: Oncomix is a novel approach that captures transcriptional heterogeneity between tumour and adjacent normal tissue, and that has the potential to uncover therapeutic targets that benefit subsets of cancer patients. CBX2 is an oncogene candidate that should be further explored as a potential drug target for aggressive types of breast cancer.
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spelling pubmed-64620182019-09-11 A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma Piqué, Daniel G. Montagna, Cristina Greally, John M. Mar, Jessica C. Br J Cancer Article BACKGROUND: Oncogenes promote the development of therapeutic targets against subsets of cancers. Only several hundred oncogenes have been identified, primarily via mutation-based approaches, in the human genome. Transcriptional overexpression is a less-explored mechanism through which oncogenes can arise. METHODS: Here, a new statistical approach, termed oncomix, which captures transcriptional heterogeneity in tumour and adjacent normal (i.e., tumour-free) mRNA expression profiles, was developed to identify oncogene candidates that were overexpressed in a subset of breast tumours. RESULTS: Intronic DNA methylation was strongly associated with the overexpression of chromobox 2 (CBX2), an oncogene candidate that was identified using our method but not through prior analytical approaches. CBX2 overexpression in breast tumours was associated with the upregulation of genes involved in cell cycle progression and with poorer 5-year survival. The predicted function of CBX2 was confirmed in vitro, providing the first experimental evidence that CBX2 promotes breast cancer cell growth. CONCLUSIONS: Oncomix is a novel approach that captures transcriptional heterogeneity between tumour and adjacent normal tissue, and that has the potential to uncover therapeutic targets that benefit subsets of cancer patients. CBX2 is an oncogene candidate that should be further explored as a potential drug target for aggressive types of breast cancer. Nature Publishing Group UK 2019-03-01 2019-04-02 /pmc/articles/PMC6462018/ /pubmed/30820027 http://dx.doi.org/10.1038/s41416-019-0387-8 Text en © The Author(s) 2019 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Piqué, Daniel G.
Montagna, Cristina
Greally, John M.
Mar, Jessica C.
A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title_full A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title_fullStr A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title_full_unstemmed A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title_short A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma
title_sort novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate cbx2 in invasive breast carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462018/
https://www.ncbi.nlm.nih.gov/pubmed/30820027
http://dx.doi.org/10.1038/s41416-019-0387-8
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