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Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network
Gastric cancer (GC) is a common type of cancer, and identification of novel diagnostic biomarkers associated with this disease is important. The present study aimed to identify novel diagnostic biomarkers associated with the prognosis of GC, using an integrated bioinformatics approach. Differentiall...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063256/ https://www.ncbi.nlm.nih.gov/pubmed/33907566 http://dx.doi.org/10.3892/ol.2021.12717 |
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author | Jiang, Yuyou Zhang, Xianqin Rong, Li Hou, Yi Song, Jing Zhang, Wanfeng He, Min Xie, Yan Li, Yue Song, Fangzhou |
author_facet | Jiang, Yuyou Zhang, Xianqin Rong, Li Hou, Yi Song, Jing Zhang, Wanfeng He, Min Xie, Yan Li, Yue Song, Fangzhou |
author_sort | Jiang, Yuyou |
collection | PubMed |
description | Gastric cancer (GC) is a common type of cancer, and identification of novel diagnostic biomarkers associated with this disease is important. The present study aimed to identify novel diagnostic biomarkers associated with the prognosis of GC, using an integrated bioinformatics approach. Differentially expressed long non-coding RNAs (lncRNAs) associated with GC were identified using Gene Expression Omnibus datasets (GSE58828, GSE72305 and GSE99416) and The Cancer Genome Atlas database. A competing endogenous RNA network that incorporated five lncRNAs [long intergenic non-protein coding RNA 501 (LINC00501), LINC00365, SOX21 antisense divergent transcript 1 (SOX21-AS1), GK intronic transcript 1 (GK-IT1) and DLEU7 antisense RNA 1 (DLEU7-AS1)], 29 microRNAs and 114 mRNAs was constructed. Gene Ontology and protein-protein interaction network analyses revealed that these lncRNAs may be involved in ‘biological regulation’, ‘metabolic process’, ‘cell communication’, ‘developmental process’, ‘cell proliferation’, ‘reproduction’ and the ‘cell cycle’. The results of receiver operating characteristic curve analysis demonstrated that LINC00501 (AUC=0.819), LINC00365 (AUC=0.580), SOX21-AS1 (AUC=0.736), GK-IT1 (AUC=0.823) and DLEU7-AS1 (AUC=0.932) had the potential to become valuable diagnostic biomarkers for GC. Associations with clinicopathological characteristics demonstrated that LINC00501 expression was significantly associated with sex (P=0.015) and tumor grade (P=0.022). Furthermore, LINC00365 expression was significantly associated with lymph node metastasis (P=0.025). Gene set enrichment analysis revealed that LINC00501, LINC00365 and SOX21-AS1 were enriched in signaling pathways associated with GC. Reverse transcription-quantitative PCR analysis demonstrated that LINC00501 expression (P=0.043) was significantly upregulated in GC tissues, whereas the expression levels of LINC00365 (P=0.033) and SOX21-AS1 (P=0.037) were significantly downregulated in GC tissues. Taken together, the results of the present study suggest that LINC00501, LINC00365, SOX21-AS1, GK-IT1 and DLEU7-AS1 may be used as novel diagnostic biomarkers for GC, and may be functionally associated with GC development and progression. |
format | Online Article Text |
id | pubmed-8063256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-80632562021-04-26 Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network Jiang, Yuyou Zhang, Xianqin Rong, Li Hou, Yi Song, Jing Zhang, Wanfeng He, Min Xie, Yan Li, Yue Song, Fangzhou Oncol Lett Articles Gastric cancer (GC) is a common type of cancer, and identification of novel diagnostic biomarkers associated with this disease is important. The present study aimed to identify novel diagnostic biomarkers associated with the prognosis of GC, using an integrated bioinformatics approach. Differentially expressed long non-coding RNAs (lncRNAs) associated with GC were identified using Gene Expression Omnibus datasets (GSE58828, GSE72305 and GSE99416) and The Cancer Genome Atlas database. A competing endogenous RNA network that incorporated five lncRNAs [long intergenic non-protein coding RNA 501 (LINC00501), LINC00365, SOX21 antisense divergent transcript 1 (SOX21-AS1), GK intronic transcript 1 (GK-IT1) and DLEU7 antisense RNA 1 (DLEU7-AS1)], 29 microRNAs and 114 mRNAs was constructed. Gene Ontology and protein-protein interaction network analyses revealed that these lncRNAs may be involved in ‘biological regulation’, ‘metabolic process’, ‘cell communication’, ‘developmental process’, ‘cell proliferation’, ‘reproduction’ and the ‘cell cycle’. The results of receiver operating characteristic curve analysis demonstrated that LINC00501 (AUC=0.819), LINC00365 (AUC=0.580), SOX21-AS1 (AUC=0.736), GK-IT1 (AUC=0.823) and DLEU7-AS1 (AUC=0.932) had the potential to become valuable diagnostic biomarkers for GC. Associations with clinicopathological characteristics demonstrated that LINC00501 expression was significantly associated with sex (P=0.015) and tumor grade (P=0.022). Furthermore, LINC00365 expression was significantly associated with lymph node metastasis (P=0.025). Gene set enrichment analysis revealed that LINC00501, LINC00365 and SOX21-AS1 were enriched in signaling pathways associated with GC. Reverse transcription-quantitative PCR analysis demonstrated that LINC00501 expression (P=0.043) was significantly upregulated in GC tissues, whereas the expression levels of LINC00365 (P=0.033) and SOX21-AS1 (P=0.037) were significantly downregulated in GC tissues. Taken together, the results of the present study suggest that LINC00501, LINC00365, SOX21-AS1, GK-IT1 and DLEU7-AS1 may be used as novel diagnostic biomarkers for GC, and may be functionally associated with GC development and progression. D.A. Spandidos 2021-06 2021-04-08 /pmc/articles/PMC8063256/ /pubmed/33907566 http://dx.doi.org/10.3892/ol.2021.12717 Text en Copyright: © Jiang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/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 Jiang, Yuyou Zhang, Xianqin Rong, Li Hou, Yi Song, Jing Zhang, Wanfeng He, Min Xie, Yan Li, Yue Song, Fangzhou Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title | Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title_full | Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title_fullStr | Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title_full_unstemmed | Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title_short | Integrative analysis of the gastric cancer long non-coding RNA-associated competing endogenous RNA network |
title_sort | integrative analysis of the gastric cancer long non-coding rna-associated competing endogenous rna network |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063256/ https://www.ncbi.nlm.nih.gov/pubmed/33907566 http://dx.doi.org/10.3892/ol.2021.12717 |
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