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Comprehensive analysis of normal adjacent to tumor transcriptomes
Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651823/ https://www.ncbi.nlm.nih.gov/pubmed/29057876 http://dx.doi.org/10.1038/s41467-017-01027-z |
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author | Aran, Dvir Camarda, Roman Odegaard, Justin Paik, Hyojung Oskotsky, Boris Krings, Gregor Goga, Andrei Sirota, Marina Butte, Atul J. |
author_facet | Aran, Dvir Camarda, Roman Odegaard, Justin Paik, Hyojung Oskotsky, Boris Krings, Gregor Goga, Andrei Sirota, Marina Butte, Atul J. |
author_sort | Aran, Dvir |
collection | PubMed |
description | Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the Genotype-Tissue Expression project and The Cancer Genome Atlas to comprehensively analyze the transcriptomes of healthy, NAT, and tumor tissues in 6506 samples across eight tissues and corresponding tumor types. Our analysis shows that NAT presents a unique intermediate state between healthy and tumor. Differential gene expression and protein–protein interaction analyses reveal altered pathways shared among NATs across tissue types. We characterize a set of 18 genes that are specifically activated in NATs. By applying pathway and tissue composition analyses, we suggest a pan-cancer mechanism of pro-inflammatory signals from the tumor stimulates an inflammatory response in the adjacent endothelium. |
format | Online Article Text |
id | pubmed-5651823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56518232017-10-25 Comprehensive analysis of normal adjacent to tumor transcriptomes Aran, Dvir Camarda, Roman Odegaard, Justin Paik, Hyojung Oskotsky, Boris Krings, Gregor Goga, Andrei Sirota, Marina Butte, Atul J. Nat Commun Article Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the Genotype-Tissue Expression project and The Cancer Genome Atlas to comprehensively analyze the transcriptomes of healthy, NAT, and tumor tissues in 6506 samples across eight tissues and corresponding tumor types. Our analysis shows that NAT presents a unique intermediate state between healthy and tumor. Differential gene expression and protein–protein interaction analyses reveal altered pathways shared among NATs across tissue types. We characterize a set of 18 genes that are specifically activated in NATs. By applying pathway and tissue composition analyses, we suggest a pan-cancer mechanism of pro-inflammatory signals from the tumor stimulates an inflammatory response in the adjacent endothelium. Nature Publishing Group UK 2017-10-20 /pmc/articles/PMC5651823/ /pubmed/29057876 http://dx.doi.org/10.1038/s41467-017-01027-z Text en © The Author(s) 2017 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/. |
spellingShingle | Article Aran, Dvir Camarda, Roman Odegaard, Justin Paik, Hyojung Oskotsky, Boris Krings, Gregor Goga, Andrei Sirota, Marina Butte, Atul J. Comprehensive analysis of normal adjacent to tumor transcriptomes |
title | Comprehensive analysis of normal adjacent to tumor transcriptomes |
title_full | Comprehensive analysis of normal adjacent to tumor transcriptomes |
title_fullStr | Comprehensive analysis of normal adjacent to tumor transcriptomes |
title_full_unstemmed | Comprehensive analysis of normal adjacent to tumor transcriptomes |
title_short | Comprehensive analysis of normal adjacent to tumor transcriptomes |
title_sort | comprehensive analysis of normal adjacent to tumor transcriptomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651823/ https://www.ncbi.nlm.nih.gov/pubmed/29057876 http://dx.doi.org/10.1038/s41467-017-01027-z |
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