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Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer

Long non-coding RNAs (lncRNAs) play important roles in gastric cancer (GC), but the mechanism is not fully clear. ERICH3-AS1 (ERICH3 antisense RNA1) is affiliated with the non-coding RNA class which has proven to be involved in the prognostic of GC, but the function of ERICH3-AS1 is still unclear. I...

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Autores principales: Chen, Qiongyun, Huang, Xiaoqing, Dong, Xuan, Wu, Jingtong, Teng, Fei, Xu, Hongzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993749/
https://www.ncbi.nlm.nih.gov/pubmed/32025363
http://dx.doi.org/10.7717/peerj.8050
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author Chen, Qiongyun
Huang, Xiaoqing
Dong, Xuan
Wu, Jingtong
Teng, Fei
Xu, Hongzhi
author_facet Chen, Qiongyun
Huang, Xiaoqing
Dong, Xuan
Wu, Jingtong
Teng, Fei
Xu, Hongzhi
author_sort Chen, Qiongyun
collection PubMed
description Long non-coding RNAs (lncRNAs) play important roles in gastric cancer (GC), but the mechanism is not fully clear. ERICH3-AS1 (ERICH3 antisense RNA1) is affiliated with the non-coding RNA class which has proven to be involved in the prognostic of GC, but the function of ERICH3-AS1 is still unclear. In this study, we aim to explore the potential function of ERICH3-AS1 in the development of GC and analyze the prognostic role of ERICH3-AS1 in GC. We found that the lncRNA ERICH3-AS1 was significantly up-regulated in GC tissues in the analysis of The Cancer Genome Atlas (TCGA) data; the Kaplan-Meier analysis showed that the higher the expression of ERICH3-AS1 was, the earlier the recurrence and the poorer the prognosis would be in patients. Cox univariate and multivariate analyses revealed that ERICH3-AS1 was a risk factor of disease-free survival (DFS) (p < 0.05) and overall survival (OS) (p < 0.05) of patients. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, it demonstrated that the ERBB pathways, the mitogen-activated protein kinase (MAPK) pathways, the MTOR pathways, p53 pathways and Wnt pathways were differentially enriched in ERICH3-AS1 high expression phenotype. Furthermore, the correlation analysis showed that ERICH3-AS1 had significant correlations with apoptosis-related proteins such as BCL2L10 and CASP14; cell cycle-associated proteins CDK14 and invasion and migration-associated proteins such as MMP20, MMP26 and MMP27. In summary, we identified that increased ERICH3-AS1 might be a potential biomarker for diagnosis and independent prognostic factor of GC. Moreover, ERICH3-AS1 might participate in the oncogenesis and development of tumors via cell cycle and apoptosis pathway mediated by ERBB, MAPK, MTOR, p53 and Wnt pathways.
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spelling pubmed-69937492020-02-05 Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer Chen, Qiongyun Huang, Xiaoqing Dong, Xuan Wu, Jingtong Teng, Fei Xu, Hongzhi PeerJ Bioinformatics Long non-coding RNAs (lncRNAs) play important roles in gastric cancer (GC), but the mechanism is not fully clear. ERICH3-AS1 (ERICH3 antisense RNA1) is affiliated with the non-coding RNA class which has proven to be involved in the prognostic of GC, but the function of ERICH3-AS1 is still unclear. In this study, we aim to explore the potential function of ERICH3-AS1 in the development of GC and analyze the prognostic role of ERICH3-AS1 in GC. We found that the lncRNA ERICH3-AS1 was significantly up-regulated in GC tissues in the analysis of The Cancer Genome Atlas (TCGA) data; the Kaplan-Meier analysis showed that the higher the expression of ERICH3-AS1 was, the earlier the recurrence and the poorer the prognosis would be in patients. Cox univariate and multivariate analyses revealed that ERICH3-AS1 was a risk factor of disease-free survival (DFS) (p < 0.05) and overall survival (OS) (p < 0.05) of patients. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, it demonstrated that the ERBB pathways, the mitogen-activated protein kinase (MAPK) pathways, the MTOR pathways, p53 pathways and Wnt pathways were differentially enriched in ERICH3-AS1 high expression phenotype. Furthermore, the correlation analysis showed that ERICH3-AS1 had significant correlations with apoptosis-related proteins such as BCL2L10 and CASP14; cell cycle-associated proteins CDK14 and invasion and migration-associated proteins such as MMP20, MMP26 and MMP27. In summary, we identified that increased ERICH3-AS1 might be a potential biomarker for diagnosis and independent prognostic factor of GC. Moreover, ERICH3-AS1 might participate in the oncogenesis and development of tumors via cell cycle and apoptosis pathway mediated by ERBB, MAPK, MTOR, p53 and Wnt pathways. PeerJ Inc. 2020-01-28 /pmc/articles/PMC6993749/ /pubmed/32025363 http://dx.doi.org/10.7717/peerj.8050 Text en ©2020 Chen et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Chen, Qiongyun
Huang, Xiaoqing
Dong, Xuan
Wu, Jingtong
Teng, Fei
Xu, Hongzhi
Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title_full Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title_fullStr Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title_full_unstemmed Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title_short Long non-coding RNA ERICH3-AS1 is an unfavorable prognostic factor for gastric cancer
title_sort long non-coding rna erich3-as1 is an unfavorable prognostic factor for gastric cancer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993749/
https://www.ncbi.nlm.nih.gov/pubmed/32025363
http://dx.doi.org/10.7717/peerj.8050
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