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Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years
BACKGROUND: Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. M...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082628/ https://www.ncbi.nlm.nih.gov/pubmed/33910626 http://dx.doi.org/10.1186/s13690-021-00588-2 |
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author | Zheng, Rongjiong Zheng, Mengdi Wang, Mingming Lu, Feijie Hu, Meiling |
author_facet | Zheng, Rongjiong Zheng, Mengdi Wang, Mingming Lu, Feijie Hu, Meiling |
author_sort | Zheng, Rongjiong |
collection | PubMed |
description | BACKGROUND: Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. METHODS: In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA). RESULTS: These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways. CONCLUSIONS: Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00588-2. |
format | Online Article Text |
id | pubmed-8082628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80826282021-04-29 Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years Zheng, Rongjiong Zheng, Mengdi Wang, Mingming Lu, Feijie Hu, Meiling Arch Public Health Research BACKGROUND: Lung squamous cell carcinoma (LSCC) is a form of cancer that is associated with high rates of relapse, poor responsiveness to therapy, and a relatively poor prognosis. The relationship between long non-coding RNA (lncRNA) expression and LSCC patient prognosis remains to be established. METHODS: In the present study, we discovered that lncRNAs were differentially expressed in LSCC tumor tissues relative to normal control tissues, and we explored the prognostic relevance of these lncRNA expression patterns using data from the Cancer Genome Atlas (TCGA). RESULTS: These multidimensional data were analyzed in order to identify lncRNA signatures that were associated with LSCC patient survival outcomes. Kaplan-Meier survival curves revealed prognostic capabilities for three of these lncRNAs (LINC02555, APCDD1L-DT and OTX2-AS1). A Cox regression analysis revealed this three-lncRNA signature to be significantly associated with patient survival. Further GO and KEGG analyses revealed that the predicted target genes of these three lncRNAs were also potentially involved in cancer-associated pathways. CONCLUSIONS: Together these results thus indicate that this novel three-lncRNA signature can be used to predict LSCC patient prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00588-2. BioMed Central 2021-04-28 /pmc/articles/PMC8082628/ /pubmed/33910626 http://dx.doi.org/10.1186/s13690-021-00588-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Zheng, Rongjiong Zheng, Mengdi Wang, Mingming Lu, Feijie Hu, Meiling Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title | Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title_full | Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title_fullStr | Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title_full_unstemmed | Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title_short | Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
title_sort | identification of a prognostic long noncoding rna signature in lung squamous cell carcinoma: a population-based study with a mean follow-up of 3.5 years |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082628/ https://www.ncbi.nlm.nih.gov/pubmed/33910626 http://dx.doi.org/10.1186/s13690-021-00588-2 |
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