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Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer
Ovarian cancer is the most lethal gynecologic malignancy, characterized by late diagnosis, frequent relapse, and easy development of chemoresistance. Recent studies suggest that lncRNAs are involved in ovarian cancer onset and progression, as well as the resistance in paclitaxel-containing chemother...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609994/ https://www.ncbi.nlm.nih.gov/pubmed/28969062 http://dx.doi.org/10.18632/oncotarget.19828 |
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author | Wang, Luqing Hu, Yanjun Xiang, Xiaohong Qu, Kai Teng, Yue |
author_facet | Wang, Luqing Hu, Yanjun Xiang, Xiaohong Qu, Kai Teng, Yue |
author_sort | Wang, Luqing |
collection | PubMed |
description | Ovarian cancer is the most lethal gynecologic malignancy, characterized by late diagnosis, frequent relapse, and easy development of chemoresistance. Recent studies suggest that lncRNAs are involved in ovarian cancer onset and progression, as well as the resistance in paclitaxel-containing chemotherapy. However, the genome-wide expression pattern and associated functional implications of lncRNAs in paclitaxel-resistant ovarian cancer cells remain undetermined. In the present study, we identified a panel of lncRNAs aberrantly expressed in both paclitaxel resistant ovarian cancer tissues and cell lines, including XR_948297, XR_947831, XR_938728, XR_938392, NR_103801, NR_073113, and NR_036503. Moreover, the seven-lncRNA signature showed a relatively high predictive accuracy of chemoresistance with an area under the ROC curve (AUC) of 0.93, and was associated with progression-free survival inovarian cancer patients (HR=2.05, p=0.015). Our function prediction demonstrated that the seven-lncRNA signature was positively correlated with a cluster containing 129 genes enriched in insulin secretion-related pathway. Our findings suggest that the seven-lncRNA signature may be utilized as potent biomarkers for predicting chemoresistance for ovarian cancer patients with paclitaxel-containing chemotherapy. |
format | Online Article Text |
id | pubmed-5609994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56099942017-09-29 Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer Wang, Luqing Hu, Yanjun Xiang, Xiaohong Qu, Kai Teng, Yue Oncotarget Research Paper Ovarian cancer is the most lethal gynecologic malignancy, characterized by late diagnosis, frequent relapse, and easy development of chemoresistance. Recent studies suggest that lncRNAs are involved in ovarian cancer onset and progression, as well as the resistance in paclitaxel-containing chemotherapy. However, the genome-wide expression pattern and associated functional implications of lncRNAs in paclitaxel-resistant ovarian cancer cells remain undetermined. In the present study, we identified a panel of lncRNAs aberrantly expressed in both paclitaxel resistant ovarian cancer tissues and cell lines, including XR_948297, XR_947831, XR_938728, XR_938392, NR_103801, NR_073113, and NR_036503. Moreover, the seven-lncRNA signature showed a relatively high predictive accuracy of chemoresistance with an area under the ROC curve (AUC) of 0.93, and was associated with progression-free survival inovarian cancer patients (HR=2.05, p=0.015). Our function prediction demonstrated that the seven-lncRNA signature was positively correlated with a cluster containing 129 genes enriched in insulin secretion-related pathway. Our findings suggest that the seven-lncRNA signature may be utilized as potent biomarkers for predicting chemoresistance for ovarian cancer patients with paclitaxel-containing chemotherapy. Impact Journals LLC 2017-08-02 /pmc/articles/PMC5609994/ /pubmed/28969062 http://dx.doi.org/10.18632/oncotarget.19828 Text en Copyright: © 2017 Wang et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Wang, Luqing Hu, Yanjun Xiang, Xiaohong Qu, Kai Teng, Yue Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title | Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title_full | Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title_fullStr | Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title_full_unstemmed | Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title_short | Identification of long non-coding RNA signature for paclitaxel-resistant patients with advanced ovarian cancer |
title_sort | identification of long non-coding rna signature for paclitaxel-resistant patients with advanced ovarian cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609994/ https://www.ncbi.nlm.nih.gov/pubmed/28969062 http://dx.doi.org/10.18632/oncotarget.19828 |
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