Systematic identification of non-coding pharmacogenomic landscape in cancer

In this study the authors build lncRNA-drug response models for 265 anti-cancer agents across 27 cancer types. They report their cancer cell line based lncRNA EN-models are able to effectively predict therapeutic outcome for breast cancer, ovarian cancer, endometrial cancer and stomach cancer patien...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yue Wang, Zehua Wang, Jieni Xu, Jiang Li, Song Li, Min Zhang, Da Yang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Q
Acceso en línea:https://doaj.org/article/fee06fe94cdb4d0d90df7243859b2fbc
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:fee06fe94cdb4d0d90df7243859b2fbc
record_format dspace
spelling oai:doaj.org-article:fee06fe94cdb4d0d90df7243859b2fbc2021-12-02T16:56:44ZSystematic identification of non-coding pharmacogenomic landscape in cancer10.1038/s41467-018-05495-92041-1723https://doaj.org/article/fee06fe94cdb4d0d90df7243859b2fbc2018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05495-9https://doaj.org/toc/2041-1723In this study the authors build lncRNA-drug response models for 265 anti-cancer agents across 27 cancer types. They report their cancer cell line based lncRNA EN-models are able to effectively predict therapeutic outcome for breast cancer, ovarian cancer, endometrial cancer and stomach cancer patients.Yue WangZehua WangJieni XuJiang LiSong LiMin ZhangDa YangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Yue Wang
Zehua Wang
Jieni Xu
Jiang Li
Song Li
Min Zhang
Da Yang
Systematic identification of non-coding pharmacogenomic landscape in cancer
description In this study the authors build lncRNA-drug response models for 265 anti-cancer agents across 27 cancer types. They report their cancer cell line based lncRNA EN-models are able to effectively predict therapeutic outcome for breast cancer, ovarian cancer, endometrial cancer and stomach cancer patients.
format article
author Yue Wang
Zehua Wang
Jieni Xu
Jiang Li
Song Li
Min Zhang
Da Yang
author_facet Yue Wang
Zehua Wang
Jieni Xu
Jiang Li
Song Li
Min Zhang
Da Yang
author_sort Yue Wang
title Systematic identification of non-coding pharmacogenomic landscape in cancer
title_short Systematic identification of non-coding pharmacogenomic landscape in cancer
title_full Systematic identification of non-coding pharmacogenomic landscape in cancer
title_fullStr Systematic identification of non-coding pharmacogenomic landscape in cancer
title_full_unstemmed Systematic identification of non-coding pharmacogenomic landscape in cancer
title_sort systematic identification of non-coding pharmacogenomic landscape in cancer
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/fee06fe94cdb4d0d90df7243859b2fbc
work_keys_str_mv AT yuewang systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT zehuawang systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT jienixu systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT jiangli systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT songli systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT minzhang systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
AT dayang systematicidentificationofnoncodingpharmacogenomiclandscapeincancer
_version_ 1718382778595147776