Identification of a six-lncRNA signature associated with recurrence of ovarian cancer

Abstract Ovarian cancer (OvCa) is the leading cause of death among all gynecological malignancies, and recurrent OvCa is almost always incurable. In this study, we developed a signature based on long non-coding RNAs (lncRNAs) associated with OvCa recurrence to facilitate personalized OvCa therapy. l...

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Autores principales:	Kai Yang, Yan Hou, Ang Li, Zhenzi Li, Wenjie Wang, Hongyu Xie, Zhiwei Rong, Ge Lou, Kang Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b67d894967bf4b8c896e9b06dc84e44a
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spelling	oai:doaj.org-article:b67d894967bf4b8c896e9b06dc84e44a2021-12-02T11:53:13ZIdentification of a six-lncRNA signature associated with recurrence of ovarian cancer10.1038/s41598-017-00763-y2045-2322https://doaj.org/article/b67d894967bf4b8c896e9b06dc84e44a2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00763-yhttps://doaj.org/toc/2045-2322Abstract Ovarian cancer (OvCa) is the leading cause of death among all gynecological malignancies, and recurrent OvCa is almost always incurable. In this study, we developed a signature based on long non-coding RNAs (lncRNAs) associated with OvCa recurrence to facilitate personalized OvCa therapy. lncRNA expression data were extracted from GSE9891 and GSE30161. LASSO (least absolute shrinkage and selection operator) penalized regression was used to identify an lncRNA-based signature using the GSE9891 training cohort. The signature was then validated in GSE9891 internal and GSE30161 external validation cohorts. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to explore the possible functions of identified lncRNAs. A six-lncRNA signature (RUNX1-IT1, MALAT1, H19, HOTAIRM1, LOC100190986 and AL132709.8) was identified in the training cohort and validated in internal and external validation cohorts using the LASSO method (P < 0.05). This signature was also independent of other clinical factors according to multivariate and sub-group analyses. The identified lncRNAs are involved in cancer-related biological processes and pathways. We selected a highly reliable signature based on six lncRNAs associated with OvCa recurrence. This six-lncRNA signature is a promising method to personalize ovarian cancer therapy and may improve patient quality of life quality according to patients’ condition in the future.Kai YangYan HouAng LiZhenzi LiWenjie WangHongyu XieZhiwei RongGe LouKang LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kai Yang Yan Hou Ang Li Zhenzi Li Wenjie Wang Hongyu Xie Zhiwei Rong Ge Lou Kang Li Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
description	Abstract Ovarian cancer (OvCa) is the leading cause of death among all gynecological malignancies, and recurrent OvCa is almost always incurable. In this study, we developed a signature based on long non-coding RNAs (lncRNAs) associated with OvCa recurrence to facilitate personalized OvCa therapy. lncRNA expression data were extracted from GSE9891 and GSE30161. LASSO (least absolute shrinkage and selection operator) penalized regression was used to identify an lncRNA-based signature using the GSE9891 training cohort. The signature was then validated in GSE9891 internal and GSE30161 external validation cohorts. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to explore the possible functions of identified lncRNAs. A six-lncRNA signature (RUNX1-IT1, MALAT1, H19, HOTAIRM1, LOC100190986 and AL132709.8) was identified in the training cohort and validated in internal and external validation cohorts using the LASSO method (P < 0.05). This signature was also independent of other clinical factors according to multivariate and sub-group analyses. The identified lncRNAs are involved in cancer-related biological processes and pathways. We selected a highly reliable signature based on six lncRNAs associated with OvCa recurrence. This six-lncRNA signature is a promising method to personalize ovarian cancer therapy and may improve patient quality of life quality according to patients’ condition in the future.
format	article
author	Kai Yang Yan Hou Ang Li Zhenzi Li Wenjie Wang Hongyu Xie Zhiwei Rong Ge Lou Kang Li
author_facet	Kai Yang Yan Hou Ang Li Zhenzi Li Wenjie Wang Hongyu Xie Zhiwei Rong Ge Lou Kang Li
author_sort	Kai Yang
title	Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
title_short	Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
title_full	Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
title_fullStr	Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
title_full_unstemmed	Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
title_sort	identification of a six-lncrna signature associated with recurrence of ovarian cancer
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/b67d894967bf4b8c896e9b06dc84e44a
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Identification of a six-lncRNA signature associated with recurrence of ovarian cancer

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