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Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis

BACKGROUND: Osteosarcoma is the primary bone malignant neoplasm that often develops metastasis. Increasing evidences have shown that non-coding RNAs (ncRNAs) relate to the progression of osteosarcoma. However, the ncRNAs’ roles in osteosarcoma metastasis are still unknown. METHODS: Differentially ex...

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Autores principales: Fu, Yucheng, Liu, Qi, Bao, Qiyuan, Wen, Junxiang, Liu, Zhuochao, Hu, Yuehao, He, Guoyu, Peng, Cheng, Xu, Yiqi, Zhang, Weibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887822/
https://www.ncbi.nlm.nih.gov/pubmed/33593435
http://dx.doi.org/10.1186/s41065-021-00174-0
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author Fu, Yucheng
Liu, Qi
Bao, Qiyuan
Wen, Junxiang
Liu, Zhuochao
Hu, Yuehao
He, Guoyu
Peng, Cheng
Xu, Yiqi
Zhang, Weibin
author_facet Fu, Yucheng
Liu, Qi
Bao, Qiyuan
Wen, Junxiang
Liu, Zhuochao
Hu, Yuehao
He, Guoyu
Peng, Cheng
Xu, Yiqi
Zhang, Weibin
author_sort Fu, Yucheng
collection PubMed
description BACKGROUND: Osteosarcoma is the primary bone malignant neoplasm that often develops metastasis. Increasing evidences have shown that non-coding RNAs (ncRNAs) relate to the progression of osteosarcoma. However, the ncRNAs’ roles in osteosarcoma metastasis are still unknown. METHODS: Differentially expressed (DE) RNAs were identified from Gene Expression Omnibus (GEO) database. Protein-protein interaction (PPI) of DE messenger RNAs (DEmRNAs) was built through STRING database. The target mRNAs and long ncRNAs (lncRNAs) of microRNAs (miRNA) were predicted through miRDB, Targetscan and Genecode databases, which then cross-checked with previously obtained DERNAs to construct competing endogenous RNA (ceRNA) network. All networks were visualized via Cytoscape and the hub RNAs were screened out through Cytoscape plug-in Cytohubba. The gene functional and pathway analyses were performed through DAVID and MirPath databases. The survival analyses of hub RNAs were obtained through Kaplan-Meier (KM) survival curves. RESULTS: Five hundred sixty-four DEmRNAs, 16 DElncRNAs and 22 DEmiRNAs were screened out. GO functional and KEGG pathway analyses showed that DERNAs were significantly associated with tumor metastasis. The ceRNA network including 6 lncRNAs, 55 mRNAs and 20 miRNAs were constructed and the top 10 hub RNAs were obtained. Above all, PI3K/AKT signaling pathway was identified as the most important osteosarcoma metastasis-associated pathway and its hub ceRNA module was constructed. The survival analyses showed that the RNAs in hub ceRNA module closely related to osteosarcoma patients’ prognosis. CONCLUSIONS: The current study provided a new perspective on osteosarcoma metastasis. More importantly, the RNAs in hub ceRNA module might act as the novel therapeutic targets and prognostic factors for osteosarcoma patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-021-00174-0.
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spelling pubmed-78878222021-02-22 Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis Fu, Yucheng Liu, Qi Bao, Qiyuan Wen, Junxiang Liu, Zhuochao Hu, Yuehao He, Guoyu Peng, Cheng Xu, Yiqi Zhang, Weibin Hereditas Research BACKGROUND: Osteosarcoma is the primary bone malignant neoplasm that often develops metastasis. Increasing evidences have shown that non-coding RNAs (ncRNAs) relate to the progression of osteosarcoma. However, the ncRNAs’ roles in osteosarcoma metastasis are still unknown. METHODS: Differentially expressed (DE) RNAs were identified from Gene Expression Omnibus (GEO) database. Protein-protein interaction (PPI) of DE messenger RNAs (DEmRNAs) was built through STRING database. The target mRNAs and long ncRNAs (lncRNAs) of microRNAs (miRNA) were predicted through miRDB, Targetscan and Genecode databases, which then cross-checked with previously obtained DERNAs to construct competing endogenous RNA (ceRNA) network. All networks were visualized via Cytoscape and the hub RNAs were screened out through Cytoscape plug-in Cytohubba. The gene functional and pathway analyses were performed through DAVID and MirPath databases. The survival analyses of hub RNAs were obtained through Kaplan-Meier (KM) survival curves. RESULTS: Five hundred sixty-four DEmRNAs, 16 DElncRNAs and 22 DEmiRNAs were screened out. GO functional and KEGG pathway analyses showed that DERNAs were significantly associated with tumor metastasis. The ceRNA network including 6 lncRNAs, 55 mRNAs and 20 miRNAs were constructed and the top 10 hub RNAs were obtained. Above all, PI3K/AKT signaling pathway was identified as the most important osteosarcoma metastasis-associated pathway and its hub ceRNA module was constructed. The survival analyses showed that the RNAs in hub ceRNA module closely related to osteosarcoma patients’ prognosis. CONCLUSIONS: The current study provided a new perspective on osteosarcoma metastasis. More importantly, the RNAs in hub ceRNA module might act as the novel therapeutic targets and prognostic factors for osteosarcoma patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41065-021-00174-0. BioMed Central 2021-02-16 /pmc/articles/PMC7887822/ /pubmed/33593435 http://dx.doi.org/10.1186/s41065-021-00174-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fu, Yucheng
Liu, Qi
Bao, Qiyuan
Wen, Junxiang
Liu, Zhuochao
Hu, Yuehao
He, Guoyu
Peng, Cheng
Xu, Yiqi
Zhang, Weibin
Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title_full Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title_fullStr Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title_full_unstemmed Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title_short Development and analysis of long non-coding RNA-associated competing endogenous RNA network for osteosarcoma metastasis
title_sort development and analysis of long non-coding rna-associated competing endogenous rna network for osteosarcoma metastasis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887822/
https://www.ncbi.nlm.nih.gov/pubmed/33593435
http://dx.doi.org/10.1186/s41065-021-00174-0
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