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Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer

BACKGROUND: In gastric cancer (GC), circular RNAs (circRNAs) mainly play an important role in miRNA sponge, which not only indicate long‐term survival and prognosis but also increase resistance to the apoptosis. The purpose of the study is to explore new circRNAs and their underlying mechanisms in G...

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Autores principales: Wei, Shuxun, Teng, Shifeng, Yao, Jun, Gao, Wenchao, Zang, Jia, Wang, Guangyong, Hu, Zhiqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666747/
https://www.ncbi.nlm.nih.gov/pubmed/32902196
http://dx.doi.org/10.1002/cam4.3035
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author Wei, Shuxun
Teng, Shifeng
Yao, Jun
Gao, Wenchao
Zang, Jia
Wang, Guangyong
Hu, Zhiqian
author_facet Wei, Shuxun
Teng, Shifeng
Yao, Jun
Gao, Wenchao
Zang, Jia
Wang, Guangyong
Hu, Zhiqian
author_sort Wei, Shuxun
collection PubMed
description BACKGROUND: In gastric cancer (GC), circular RNAs (circRNAs) mainly play an important role in miRNA sponge, which not only indicate long‐term survival and prognosis but also increase resistance to the apoptosis. The purpose of the study is to explore new circRNAs and their underlying mechanisms in GC. METHOD: Through rigorous retrieval strategies, we used the sva package to analyze and identify differentially expressed circRNAs (DECs) from three Gene Expression Omnibus microarray datasets (GSE83521, GSE89143, and GSE78092). Online website CSCD and CircInteractome were used to reveal the binding sites between miRNAs and DECs. The possible target miRNAs of the DECs identified based on miRNAs, and Cytoscape was used to create a regulatory network of circRNA‐miRNA‐mRNA and identified the hub genes which were further validated using The Cancer Genome Atlas database and Human Protein Atlas. RESULTS: Twenty‐eight DECs were obtained using the sva package. A regulatory network of circRNA‐miRNA‐mRNA (competing endogenous RNA) containing 15 circRNAs, 24 miRNAs, and 158 genes was identified. A protein‐protein interaction network based on the 158 genes was established, and further determined that 10 hub genes (SKA1, ANLN, CHEK1, SKA3, TOP2A, BIRC5, RRM2, NCAPG2, FANCI, and RAD51) were associated with some cancer‐related pathways based on the functional enrichment analysis. Finally, six hub genes (BIRC5, TOP2A, FANCI, NCAPG2, RAD51, and RRM2) were proven to influence the overall survival of GC. CONCLUSION: Our study established a circRNA‐miRNA‐mRNA regulatory network and defined six circRNA‐related hub genes in GC, which could serve as potential therapeutic targets or prognostic biomarker for GC treatment.
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spelling pubmed-76667472020-11-20 Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer Wei, Shuxun Teng, Shifeng Yao, Jun Gao, Wenchao Zang, Jia Wang, Guangyong Hu, Zhiqian Cancer Med Cancer Biology BACKGROUND: In gastric cancer (GC), circular RNAs (circRNAs) mainly play an important role in miRNA sponge, which not only indicate long‐term survival and prognosis but also increase resistance to the apoptosis. The purpose of the study is to explore new circRNAs and their underlying mechanisms in GC. METHOD: Through rigorous retrieval strategies, we used the sva package to analyze and identify differentially expressed circRNAs (DECs) from three Gene Expression Omnibus microarray datasets (GSE83521, GSE89143, and GSE78092). Online website CSCD and CircInteractome were used to reveal the binding sites between miRNAs and DECs. The possible target miRNAs of the DECs identified based on miRNAs, and Cytoscape was used to create a regulatory network of circRNA‐miRNA‐mRNA and identified the hub genes which were further validated using The Cancer Genome Atlas database and Human Protein Atlas. RESULTS: Twenty‐eight DECs were obtained using the sva package. A regulatory network of circRNA‐miRNA‐mRNA (competing endogenous RNA) containing 15 circRNAs, 24 miRNAs, and 158 genes was identified. A protein‐protein interaction network based on the 158 genes was established, and further determined that 10 hub genes (SKA1, ANLN, CHEK1, SKA3, TOP2A, BIRC5, RRM2, NCAPG2, FANCI, and RAD51) were associated with some cancer‐related pathways based on the functional enrichment analysis. Finally, six hub genes (BIRC5, TOP2A, FANCI, NCAPG2, RAD51, and RRM2) were proven to influence the overall survival of GC. CONCLUSION: Our study established a circRNA‐miRNA‐mRNA regulatory network and defined six circRNA‐related hub genes in GC, which could serve as potential therapeutic targets or prognostic biomarker for GC treatment. John Wiley and Sons Inc. 2020-09-09 /pmc/articles/PMC7666747/ /pubmed/32902196 http://dx.doi.org/10.1002/cam4.3035 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Biology
Wei, Shuxun
Teng, Shifeng
Yao, Jun
Gao, Wenchao
Zang, Jia
Wang, Guangyong
Hu, Zhiqian
Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title_full Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title_fullStr Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title_full_unstemmed Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title_short Develop a circular RNA–related regulatory network associated with prognosis of gastric cancer
title_sort develop a circular rna–related regulatory network associated with prognosis of gastric cancer
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666747/
https://www.ncbi.nlm.nih.gov/pubmed/32902196
http://dx.doi.org/10.1002/cam4.3035
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