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Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients

Dysregulated long noncoding RNAs (lncRNAs) are potential markers of several tumor prognoses. This study aimed to develop a lncRNA expression signature that can predict chemotherapeutic sensitivity for patients with advanced stage and high-grade serous ovarian cancer (HGS-OvCa) treated with platinum-...

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Autores principales: Liu, Rong, Zeng, Ying, Zhou, Cheng-Fang, Wang, Ying, Li, Xi, Liu, Zhao-Qian, Chen, Xiao-Ping, Zhang, Wei, Zhou, Hong-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428368/
https://www.ncbi.nlm.nih.gov/pubmed/28154416
http://dx.doi.org/10.1038/s41598-017-00050-w
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author Liu, Rong
Zeng, Ying
Zhou, Cheng-Fang
Wang, Ying
Li, Xi
Liu, Zhao-Qian
Chen, Xiao-Ping
Zhang, Wei
Zhou, Hong-Hao
author_facet Liu, Rong
Zeng, Ying
Zhou, Cheng-Fang
Wang, Ying
Li, Xi
Liu, Zhao-Qian
Chen, Xiao-Ping
Zhang, Wei
Zhou, Hong-Hao
author_sort Liu, Rong
collection PubMed
description Dysregulated long noncoding RNAs (lncRNAs) are potential markers of several tumor prognoses. This study aimed to develop a lncRNA expression signature that can predict chemotherapeutic sensitivity for patients with advanced stage and high-grade serous ovarian cancer (HGS-OvCa) treated with platinum-based chemotherapy. The lncRNA expression profiles of 258 HGS-OvCa patients from The Cancer Genome Atlas were analyzed. Results revealed that an eight-lncRNA signature was significantly associated with chemosensitivity in the multivariate logistic regression model, which can accurately predict the chemosensitivity of patients [Area under curve (AUC) = 0.83]. The association of a chemosensitivity predictor with molecular subtypes indicated the excellent prognosis performance of this marker in differentiated, mesenchymal, and immunoreactive subtypes (AUC > 0.8). The significant correlation between ZFAS1 expression and chemosensitivity was confirmed in 233 HGS-OvCa patients from the Gene Expression Omnibus datasets (GSE9891, GSE63885, and GSE51373). In vitro experiments demonstrated that the ZFAS1 expression was upregulated by cisplatin in A2008, HeyA8, and HeyC2 cell lines. This finding suggested that ZFAS1 may participate in platinum resistance. Therefore, the evaluation of the eight-lncRNA signature may be clinically implicated in the selection of platinum-resistant HGS-OvCa patients. The role of ZFAS1 in platinum resistance should be further investigated.
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spelling pubmed-54283682017-05-15 Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients Liu, Rong Zeng, Ying Zhou, Cheng-Fang Wang, Ying Li, Xi Liu, Zhao-Qian Chen, Xiao-Ping Zhang, Wei Zhou, Hong-Hao Sci Rep Article Dysregulated long noncoding RNAs (lncRNAs) are potential markers of several tumor prognoses. This study aimed to develop a lncRNA expression signature that can predict chemotherapeutic sensitivity for patients with advanced stage and high-grade serous ovarian cancer (HGS-OvCa) treated with platinum-based chemotherapy. The lncRNA expression profiles of 258 HGS-OvCa patients from The Cancer Genome Atlas were analyzed. Results revealed that an eight-lncRNA signature was significantly associated with chemosensitivity in the multivariate logistic regression model, which can accurately predict the chemosensitivity of patients [Area under curve (AUC) = 0.83]. The association of a chemosensitivity predictor with molecular subtypes indicated the excellent prognosis performance of this marker in differentiated, mesenchymal, and immunoreactive subtypes (AUC > 0.8). The significant correlation between ZFAS1 expression and chemosensitivity was confirmed in 233 HGS-OvCa patients from the Gene Expression Omnibus datasets (GSE9891, GSE63885, and GSE51373). In vitro experiments demonstrated that the ZFAS1 expression was upregulated by cisplatin in A2008, HeyA8, and HeyC2 cell lines. This finding suggested that ZFAS1 may participate in platinum resistance. Therefore, the evaluation of the eight-lncRNA signature may be clinically implicated in the selection of platinum-resistant HGS-OvCa patients. The role of ZFAS1 in platinum resistance should be further investigated. Nature Publishing Group UK 2017-02-02 /pmc/articles/PMC5428368/ /pubmed/28154416 http://dx.doi.org/10.1038/s41598-017-00050-w Text en © The Author(s) 2017 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, Rong
Zeng, Ying
Zhou, Cheng-Fang
Wang, Ying
Li, Xi
Liu, Zhao-Qian
Chen, Xiao-Ping
Zhang, Wei
Zhou, Hong-Hao
Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title_full Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title_fullStr Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title_full_unstemmed Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title_short Long noncoding RNA expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
title_sort long noncoding rna expression signature to predict platinum-based chemotherapeutic sensitivity of ovarian cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428368/
https://www.ncbi.nlm.nih.gov/pubmed/28154416
http://dx.doi.org/10.1038/s41598-017-00050-w
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