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Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation

Background: Accumulating evidence suggests that circular RNAs (circRNAs) are highly correlated with tumor progression and pathogenesis in breast cancer. Whereas, their regulatory roles and corresponding mechanisms in breast cancer are still not exhaustive. Thus, we intended to establish circRNA-medi...

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Autores principales: Lin, Hong, Long, Fangyi, Zhang, Xiqian, Wang, Pinghan, Wang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527282/
https://www.ncbi.nlm.nih.gov/pubmed/36200070
http://dx.doi.org/10.3389/fmolb.2022.1017036
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author Lin, Hong
Long, Fangyi
Zhang, Xiqian
Wang, Pinghan
Wang, Ting
author_facet Lin, Hong
Long, Fangyi
Zhang, Xiqian
Wang, Pinghan
Wang, Ting
author_sort Lin, Hong
collection PubMed
description Background: Accumulating evidence suggests that circular RNAs (circRNAs) are highly correlated with tumor progression and pathogenesis in breast cancer. Whereas, their regulatory roles and corresponding mechanisms in breast cancer are still not exhaustive. Thus, we intended to establish circRNA-mediated competive endogenous RNA (ceRNA) network to uncover the possible roles and clinical implications of circRNAs in breast cancer. Methods: Microarray and RNA-sequencing (RNA-seq) data were download from GEO and TCGA database to screen for differentially expressed RNAs (DEcircRNAs, DEmiRNAs, DEmRNAs) in breast cancer. By implementing online databases, we established ceRNA networks, performed gene set enrichment analysis, constructed protein-protein interaction (PPI) networks, and assessed the expression levels and prognostic significance of hub genes. Subsequently, we explored the functions of prognosis-related genes and constructed gene-drug interaction networks. Finally, the functional roles of DEcircRNAs in breast cancer were revealed via MTT and colony formation assay. Results: Based on the identified 8 DEcircRNAs, 25 miRNAs and 216 mRNAs, a ceRNA regulatory network was established. Further analysis revealed that prominent enrichments were transcription factor binding, transforming growth factor-beta (TGF-β) and Apelin signaling pathway etc. PPI network and survival curves analysis showed that elevated levels of hub genes (RACGAP1 and KPNA2) were associated with poorer prognosis. They were found to be positively relevant to cell cycle and proliferation. Then a prognostic sub-network of ceRNA was constructed, consisting of 2 circRNAs, 4 miRNAs and 2 mRNAs. The gene-drug interaction network showed that numerous drugs could regulate the expression of these two prognosis-related genes. Functional experiments showed that depletion of circ_0008812 and circ_0001583 could significantly inhibit the proliferation of MCF-7 cells. Conclusion: Our study constructed 4 prognostic regulatory axes that are significantly correlated with tumor prognosis in breast cancer patients, and uncover the roles of circ_0008812 and circ_0001583 in breast cancer, providing a new perspective into the molecular mechanisms of breast cancer pathogenesis.
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spelling pubmed-95272822022-10-04 Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation Lin, Hong Long, Fangyi Zhang, Xiqian Wang, Pinghan Wang, Ting Front Mol Biosci Molecular Biosciences Background: Accumulating evidence suggests that circular RNAs (circRNAs) are highly correlated with tumor progression and pathogenesis in breast cancer. Whereas, their regulatory roles and corresponding mechanisms in breast cancer are still not exhaustive. Thus, we intended to establish circRNA-mediated competive endogenous RNA (ceRNA) network to uncover the possible roles and clinical implications of circRNAs in breast cancer. Methods: Microarray and RNA-sequencing (RNA-seq) data were download from GEO and TCGA database to screen for differentially expressed RNAs (DEcircRNAs, DEmiRNAs, DEmRNAs) in breast cancer. By implementing online databases, we established ceRNA networks, performed gene set enrichment analysis, constructed protein-protein interaction (PPI) networks, and assessed the expression levels and prognostic significance of hub genes. Subsequently, we explored the functions of prognosis-related genes and constructed gene-drug interaction networks. Finally, the functional roles of DEcircRNAs in breast cancer were revealed via MTT and colony formation assay. Results: Based on the identified 8 DEcircRNAs, 25 miRNAs and 216 mRNAs, a ceRNA regulatory network was established. Further analysis revealed that prominent enrichments were transcription factor binding, transforming growth factor-beta (TGF-β) and Apelin signaling pathway etc. PPI network and survival curves analysis showed that elevated levels of hub genes (RACGAP1 and KPNA2) were associated with poorer prognosis. They were found to be positively relevant to cell cycle and proliferation. Then a prognostic sub-network of ceRNA was constructed, consisting of 2 circRNAs, 4 miRNAs and 2 mRNAs. The gene-drug interaction network showed that numerous drugs could regulate the expression of these two prognosis-related genes. Functional experiments showed that depletion of circ_0008812 and circ_0001583 could significantly inhibit the proliferation of MCF-7 cells. Conclusion: Our study constructed 4 prognostic regulatory axes that are significantly correlated with tumor prognosis in breast cancer patients, and uncover the roles of circ_0008812 and circ_0001583 in breast cancer, providing a new perspective into the molecular mechanisms of breast cancer pathogenesis. Frontiers Media S.A. 2022-09-19 /pmc/articles/PMC9527282/ /pubmed/36200070 http://dx.doi.org/10.3389/fmolb.2022.1017036 Text en Copyright © 2022 Lin, Long, Zhang, Wang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Lin, Hong
Long, Fangyi
Zhang, Xiqian
Wang, Pinghan
Wang, Ting
Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title_full Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title_fullStr Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title_full_unstemmed Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title_short Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
title_sort upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527282/
https://www.ncbi.nlm.nih.gov/pubmed/36200070
http://dx.doi.org/10.3389/fmolb.2022.1017036
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