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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...

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Autores principales: Wang, Luqing, Hu, Yanjun, Xiang, Xiaohong, Qu, Kai, Teng, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
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.
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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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