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A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer
AIMS: Dysregulated long noncoding RNAs (lncRNAs) contributing to ovarian cancer (OC) development may serve as prognostic biomarker. We aimed to explore a lncRNA signature to serve as prognostic biomarker of OC. METHODS: Univariate Cox regression was conducted on the lncRNA expression dataset from th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191461/ https://www.ncbi.nlm.nih.gov/pubmed/34123783 http://dx.doi.org/10.3389/fonc.2021.624240 |
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author | Li, Hui Wang, Shuoer Yao, Qianlan Liu, Yan Yang, Jing Xu, Lun Yang, Gong |
author_facet | Li, Hui Wang, Shuoer Yao, Qianlan Liu, Yan Yang, Jing Xu, Lun Yang, Gong |
author_sort | Li, Hui |
collection | PubMed |
description | AIMS: Dysregulated long noncoding RNAs (lncRNAs) contributing to ovarian cancer (OC) development may serve as prognostic biomarker. We aimed to explore a lncRNA signature to serve as prognostic biomarker of OC. METHODS: Univariate Cox regression was conducted on the lncRNA expression dataset from the TCGA cohort, and 246 genes significantly associated with survival were retained for building a model. A random forest survival model was carried out, and a model was developed using 6 genes with the highest frequency. The selected genes were applied in a Cox multivariate regression model for prognostic prediction by calculating the risk score. We also used CCK-8, EdU, and colony formation assays to validate the function of these lncRNAs in OC cells. RESULTS: This study confirmed that the 6-lncRNA combined signature was related to OC prognosis. Systematic analysis demonstrated that lncRNA-associated genes were enriched in oncogenic signalling pathways. Five out of the 6 lncRNAs participated in OC proliferation. CONCLUSION: We established a 6-lncRNA combined signature for OC prognosis, which may serve as powerful prognostic biomarker for OC after further validation. |
format | Online Article Text |
id | pubmed-8191461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81914612021-06-11 A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer Li, Hui Wang, Shuoer Yao, Qianlan Liu, Yan Yang, Jing Xu, Lun Yang, Gong Front Oncol Oncology AIMS: Dysregulated long noncoding RNAs (lncRNAs) contributing to ovarian cancer (OC) development may serve as prognostic biomarker. We aimed to explore a lncRNA signature to serve as prognostic biomarker of OC. METHODS: Univariate Cox regression was conducted on the lncRNA expression dataset from the TCGA cohort, and 246 genes significantly associated with survival were retained for building a model. A random forest survival model was carried out, and a model was developed using 6 genes with the highest frequency. The selected genes were applied in a Cox multivariate regression model for prognostic prediction by calculating the risk score. We also used CCK-8, EdU, and colony formation assays to validate the function of these lncRNAs in OC cells. RESULTS: This study confirmed that the 6-lncRNA combined signature was related to OC prognosis. Systematic analysis demonstrated that lncRNA-associated genes were enriched in oncogenic signalling pathways. Five out of the 6 lncRNAs participated in OC proliferation. CONCLUSION: We established a 6-lncRNA combined signature for OC prognosis, which may serve as powerful prognostic biomarker for OC after further validation. Frontiers Media S.A. 2021-05-27 /pmc/articles/PMC8191461/ /pubmed/34123783 http://dx.doi.org/10.3389/fonc.2021.624240 Text en Copyright © 2021 Li, Wang, Yao, Liu, Yang, Xu and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Li, Hui Wang, Shuoer Yao, Qianlan Liu, Yan Yang, Jing Xu, Lun Yang, Gong A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title | A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title_full | A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title_fullStr | A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title_full_unstemmed | A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title_short | A Combined Long Noncoding RNA Signature as a Candidate Prognostic Biomarker for Ovarian Cancer |
title_sort | combined long noncoding rna signature as a candidate prognostic biomarker for ovarian cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191461/ https://www.ncbi.nlm.nih.gov/pubmed/34123783 http://dx.doi.org/10.3389/fonc.2021.624240 |
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