Cargando…
A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia
We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,22...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785360/ https://www.ncbi.nlm.nih.gov/pubmed/26960563 http://dx.doi.org/10.1038/srep22811 |
_version_ | 1782420396208816128 |
---|---|
author | Liu, Xiaoming Yang, Jiasheng Zhang, Yi Fang, Yun Wang, Fayou Wang, Jun Zheng, Xiaoqi Yang, Jialiang |
author_facet | Liu, Xiaoming Yang, Jiasheng Zhang, Yi Fang, Yun Wang, Fayou Wang, Jun Zheng, Xiaoqi Yang, Jialiang |
author_sort | Liu, Xiaoming |
collection | PubMed |
description | We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,226. Functional enrichment analysis shows that the DRA genes are significantly enriched in genes associated with cell cycle and plasma membrane. Moreover, there might be two patterns of DRA genes between genders. There are significantly shared DRA genes between male and female for most drugs, while very little DRA genes tend to be shared between the two genders for a few drugs targeting sex-specific cancers (e.g., PD-0332991 for breast cancer and ovarian cancer). Our analyses also show substantial difference for DRA genes between young and old samples, suggesting the necessity of considering the age effects for personalized medicine in cancers. Lastly, differential module and key driver analyses confirm cell cycle related modules as top differential ones for drug sensitivity. The analyses also reveal the role of TSPO, TP53, and many other immune or cell cycle related genes as important key drivers for DRA network modules. These key drivers provide new drug targets to improve the sensitivity of cancer therapy. |
format | Online Article Text |
id | pubmed-4785360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47853602016-03-11 A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia Liu, Xiaoming Yang, Jiasheng Zhang, Yi Fang, Yun Wang, Fayou Wang, Jun Zheng, Xiaoqi Yang, Jialiang Sci Rep Article We have studied drug-response associated (DRA) gene expressions by applying a systems biology framework to the Cancer Cell Line Encyclopedia data. More than 4,000 genes are inferred to be DRA for at least one drug, while the number of DRA genes for each drug varies dramatically from almost 0 to 1,226. Functional enrichment analysis shows that the DRA genes are significantly enriched in genes associated with cell cycle and plasma membrane. Moreover, there might be two patterns of DRA genes between genders. There are significantly shared DRA genes between male and female for most drugs, while very little DRA genes tend to be shared between the two genders for a few drugs targeting sex-specific cancers (e.g., PD-0332991 for breast cancer and ovarian cancer). Our analyses also show substantial difference for DRA genes between young and old samples, suggesting the necessity of considering the age effects for personalized medicine in cancers. Lastly, differential module and key driver analyses confirm cell cycle related modules as top differential ones for drug sensitivity. The analyses also reveal the role of TSPO, TP53, and many other immune or cell cycle related genes as important key drivers for DRA network modules. These key drivers provide new drug targets to improve the sensitivity of cancer therapy. Nature Publishing Group 2016-03-10 /pmc/articles/PMC4785360/ /pubmed/26960563 http://dx.doi.org/10.1038/srep22811 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Liu, Xiaoming Yang, Jiasheng Zhang, Yi Fang, Yun Wang, Fayou Wang, Jun Zheng, Xiaoqi Yang, Jialiang A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title | A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title_full | A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title_fullStr | A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title_full_unstemmed | A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title_short | A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia |
title_sort | systematic study on drug-response associated genes using baseline gene expressions of the cancer cell line encyclopedia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785360/ https://www.ncbi.nlm.nih.gov/pubmed/26960563 http://dx.doi.org/10.1038/srep22811 |
work_keys_str_mv | AT liuxiaoming asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT yangjiasheng asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT zhangyi asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT fangyun asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT wangfayou asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT wangjun asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT zhengxiaoqi asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT yangjialiang asystematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT liuxiaoming systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT yangjiasheng systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT zhangyi systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT fangyun systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT wangfayou systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT wangjun systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT zhengxiaoqi systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia AT yangjialiang systematicstudyondrugresponseassociatedgenesusingbaselinegeneexpressionsofthecancercelllineencyclopedia |