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Analysis of long non-coding RNA expression profiles in ovarian cancer

Ovarian cancer is one of the major threats to female health. Identifying cancer cases at an early stage and selecting effective therapeutic drugs for patients is challenging. The number of studies concerning long non-coding RNAs (lncRNAs) is increasing rapidly; there is a large body of evidence indi...

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Detalles Bibliográficos
Autores principales: Shen, Liang, Liu, Wei, Cui, Jing, Li, Juan, Li, Changzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529754/
https://www.ncbi.nlm.nih.gov/pubmed/28789375
http://dx.doi.org/10.3892/ol.2017.6283
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author Shen, Liang
Liu, Wei
Cui, Jing
Li, Juan
Li, Changzhong
author_facet Shen, Liang
Liu, Wei
Cui, Jing
Li, Juan
Li, Changzhong
author_sort Shen, Liang
collection PubMed
description Ovarian cancer is one of the major threats to female health. Identifying cancer cases at an early stage and selecting effective therapeutic drugs for patients is challenging. The number of studies concerning long non-coding RNAs (lncRNAs) is increasing rapidly; there is a large body of evidence indicating that lncRNAs are crucial in oncogenic and tumor-suppression mechanisms. Therefore, in the present study, lncRNA expression in ovarian cancer was considered. All of the existing ovarian cancer microarray datasets in the Gene Expression Omnibus database were assessed and two met the criteria for the present study; these were designated the training and validation sets. A re-annotation pipeline method was established to annotate lncRNAs from existing probe sets. When comparing ovarian cancer with normal ovarian tissues, seven lncRNAs from the RefSeq database, based on their combined ability to classify tissue in the training set, were identified and validated with the validation set. Research into the molecular functions of the seven identified lncRNAs may contribute to the understanding of ovarian cancer oncogenesis; they may also be candidates for novel ovarian cancer biomarkers.
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spelling pubmed-55297542017-08-07 Analysis of long non-coding RNA expression profiles in ovarian cancer Shen, Liang Liu, Wei Cui, Jing Li, Juan Li, Changzhong Oncol Lett Articles Ovarian cancer is one of the major threats to female health. Identifying cancer cases at an early stage and selecting effective therapeutic drugs for patients is challenging. The number of studies concerning long non-coding RNAs (lncRNAs) is increasing rapidly; there is a large body of evidence indicating that lncRNAs are crucial in oncogenic and tumor-suppression mechanisms. Therefore, in the present study, lncRNA expression in ovarian cancer was considered. All of the existing ovarian cancer microarray datasets in the Gene Expression Omnibus database were assessed and two met the criteria for the present study; these were designated the training and validation sets. A re-annotation pipeline method was established to annotate lncRNAs from existing probe sets. When comparing ovarian cancer with normal ovarian tissues, seven lncRNAs from the RefSeq database, based on their combined ability to classify tissue in the training set, were identified and validated with the validation set. Research into the molecular functions of the seven identified lncRNAs may contribute to the understanding of ovarian cancer oncogenesis; they may also be candidates for novel ovarian cancer biomarkers. D.A. Spandidos 2017-08 2017-05-31 /pmc/articles/PMC5529754/ /pubmed/28789375 http://dx.doi.org/10.3892/ol.2017.6283 Text en Copyright: © Shen et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Shen, Liang
Liu, Wei
Cui, Jing
Li, Juan
Li, Changzhong
Analysis of long non-coding RNA expression profiles in ovarian cancer
title Analysis of long non-coding RNA expression profiles in ovarian cancer
title_full Analysis of long non-coding RNA expression profiles in ovarian cancer
title_fullStr Analysis of long non-coding RNA expression profiles in ovarian cancer
title_full_unstemmed Analysis of long non-coding RNA expression profiles in ovarian cancer
title_short Analysis of long non-coding RNA expression profiles in ovarian cancer
title_sort analysis of long non-coding rna expression profiles in ovarian cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529754/
https://www.ncbi.nlm.nih.gov/pubmed/28789375
http://dx.doi.org/10.3892/ol.2017.6283
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