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A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma
BACKGROUNDS: Osteosarcoma (OS) is easy to metastasis. Necroptosis-related long noncoding RNA (lncRNA) (NRlncRNA) plays a vital role in the tumorigenesis of many malignant tumors. Nonetheless, there have been few studies investigating the relations between NRlncRNA and OS. During the investigation, N...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283071/ https://www.ncbi.nlm.nih.gov/pubmed/35844445 http://dx.doi.org/10.1155/2022/8003525 |
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author | Zheng, Yixin Xu, Jie Lin, Jiexiang Lin, Yuan |
author_facet | Zheng, Yixin Xu, Jie Lin, Jiexiang Lin, Yuan |
author_sort | Zheng, Yixin |
collection | PubMed |
description | BACKGROUNDS: Osteosarcoma (OS) is easy to metastasis. Necroptosis-related long noncoding RNA (lncRNA) (NRlncRNA) plays a vital role in the tumorigenesis of many malignant tumors. Nonetheless, there have been few studies investigating the relations between NRlncRNA and OS. During the investigation, NRlncRNAs in OS were confirmed and characterized and their relationships with prognoses were investigated. METHODS: NRlncRNAs were downloaded from The Cancer Genome Atlas (TCGA) OS expression data and clinical-pathological information. First, univariate Cox regression and LASSO regression analyses were used to screen for prognostic-related NRlncRNAs. Second, multivariate regression analyses were used to establish a prognostic nomogram for predicting individual survival probability. Survival analyses demonstrated that high-risk patients (HRPs) had a poor prognosis. In addition, gene set enrichment analyses (GSEA) were used to identify gene function in high- and low-risk groups based on the survival mode. RESULTS: The 7 NRlncRNAs (AC004812.2, AC022915.1, AC073073.2, AC090559.1, AL512330.1, DDN-AS1, and SENCR) were shown to have a distinct difference and were used to construct an NRlncRNA signature. Using the signature as a risk score was an independent factor for OS patients. The signature divided OS patients into the high- and low-risk groups. Furthermore, the seven lncRNAs were significantly enriched in cell migration and metabolism. CONCLUSIONS: The 7 NRlncRNA survival models have the potential to serve as therapeutic targets and molecular biomarkers for patients with OS, as well as to precisely predict OS prognoses. |
format | Online Article Text |
id | pubmed-9283071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92830712022-07-15 A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma Zheng, Yixin Xu, Jie Lin, Jiexiang Lin, Yuan Comput Math Methods Med Research Article BACKGROUNDS: Osteosarcoma (OS) is easy to metastasis. Necroptosis-related long noncoding RNA (lncRNA) (NRlncRNA) plays a vital role in the tumorigenesis of many malignant tumors. Nonetheless, there have been few studies investigating the relations between NRlncRNA and OS. During the investigation, NRlncRNAs in OS were confirmed and characterized and their relationships with prognoses were investigated. METHODS: NRlncRNAs were downloaded from The Cancer Genome Atlas (TCGA) OS expression data and clinical-pathological information. First, univariate Cox regression and LASSO regression analyses were used to screen for prognostic-related NRlncRNAs. Second, multivariate regression analyses were used to establish a prognostic nomogram for predicting individual survival probability. Survival analyses demonstrated that high-risk patients (HRPs) had a poor prognosis. In addition, gene set enrichment analyses (GSEA) were used to identify gene function in high- and low-risk groups based on the survival mode. RESULTS: The 7 NRlncRNAs (AC004812.2, AC022915.1, AC073073.2, AC090559.1, AL512330.1, DDN-AS1, and SENCR) were shown to have a distinct difference and were used to construct an NRlncRNA signature. Using the signature as a risk score was an independent factor for OS patients. The signature divided OS patients into the high- and low-risk groups. Furthermore, the seven lncRNAs were significantly enriched in cell migration and metabolism. CONCLUSIONS: The 7 NRlncRNA survival models have the potential to serve as therapeutic targets and molecular biomarkers for patients with OS, as well as to precisely predict OS prognoses. Hindawi 2022-07-07 /pmc/articles/PMC9283071/ /pubmed/35844445 http://dx.doi.org/10.1155/2022/8003525 Text en Copyright © 2022 Yixin Zheng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zheng, Yixin Xu, Jie Lin, Jiexiang Lin, Yuan A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title | A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title_full | A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title_fullStr | A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title_full_unstemmed | A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title_short | A Novel Necroptosis-Related lncRNA Signature for Osteosarcoma |
title_sort | novel necroptosis-related lncrna signature for osteosarcoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283071/ https://www.ncbi.nlm.nih.gov/pubmed/35844445 http://dx.doi.org/10.1155/2022/8003525 |
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