Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer

Aim. This study aimed to investigate the expression profiles of circRNAs and candidate circRNA-miRNA-mRNA network in BC. Methods. Differentially expressed circRNAs, miRNAs, and mRNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) between BC and normal breast tissue samples were screened by analyzing raw data o...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Rui Huang, Hao Yu, Xiao Zhong
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
Materias:
Acceso en línea:https://doaj.org/article/8ee7d1796eaf498da3d657f69fe901b4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:8ee7d1796eaf498da3d657f69fe901b4
record_format dspace
spelling oai:doaj.org-article:8ee7d1796eaf498da3d657f69fe901b42021-11-08T02:36:08ZIdentification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer1741-428810.1155/2021/2916398https://doaj.org/article/8ee7d1796eaf498da3d657f69fe901b42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2916398https://doaj.org/toc/1741-4288Aim. This study aimed to investigate the expression profiles of circRNAs and candidate circRNA-miRNA-mRNA network in BC. Methods. Differentially expressed circRNAs, miRNAs, and mRNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) between BC and normal breast tissue samples were screened by analyzing raw data of the RNA sequencing profile. The expression levels of hub genes in 48 pairs of cancerous and tumor-free breast tissues surgically resected from BC patients were determined by RT-qPCR analysis. Results. A total of 145 DEcircRNAs, 140 DEmiRNAs, and 2451 DEmRNAs between BC and normal breast tissue samples were screened out. There were 5 pairs of upcircRNA-downmiRNA-upmRNA network and 20 pairs of downcircRNA-upmiRNA-downmRNA network. EIF4EBP1, DUSP1, EGR2, EZH1, and CBX7 were found to be correlated with overall survival of the patients with BC. The expression level of EIF4EBP1 was increased and the expression levels of DUSP1, EGR2, EZH1, and CBX7 were decreased in cancerous breast tissues compared to tumor-free breast tissues p<0.0001. The RT-qPCR results from 48 BC patients were consistent with the bioinformatics results. Conclusion. This study provides a novel perspective to study circRNA-miRNA-mRNA network in BC and assists in the identification of new potential biomarkers to be used for diagnostic and prognostic purposes.Rui HuangHao YuXiao ZhongHindawi LimitedarticleOther systems of medicineRZ201-999ENEvidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Other systems of medicine
RZ201-999
spellingShingle Other systems of medicine
RZ201-999
Rui Huang
Hao Yu
Xiao Zhong
Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
description Aim. This study aimed to investigate the expression profiles of circRNAs and candidate circRNA-miRNA-mRNA network in BC. Methods. Differentially expressed circRNAs, miRNAs, and mRNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) between BC and normal breast tissue samples were screened by analyzing raw data of the RNA sequencing profile. The expression levels of hub genes in 48 pairs of cancerous and tumor-free breast tissues surgically resected from BC patients were determined by RT-qPCR analysis. Results. A total of 145 DEcircRNAs, 140 DEmiRNAs, and 2451 DEmRNAs between BC and normal breast tissue samples were screened out. There were 5 pairs of upcircRNA-downmiRNA-upmRNA network and 20 pairs of downcircRNA-upmiRNA-downmRNA network. EIF4EBP1, DUSP1, EGR2, EZH1, and CBX7 were found to be correlated with overall survival of the patients with BC. The expression level of EIF4EBP1 was increased and the expression levels of DUSP1, EGR2, EZH1, and CBX7 were decreased in cancerous breast tissues compared to tumor-free breast tissues p<0.0001. The RT-qPCR results from 48 BC patients were consistent with the bioinformatics results. Conclusion. This study provides a novel perspective to study circRNA-miRNA-mRNA network in BC and assists in the identification of new potential biomarkers to be used for diagnostic and prognostic purposes.
format article
author Rui Huang
Hao Yu
Xiao Zhong
author_facet Rui Huang
Hao Yu
Xiao Zhong
author_sort Rui Huang
title Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
title_short Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
title_full Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
title_fullStr Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
title_full_unstemmed Identification of Novel CircRNA-miRNA-mRNA Regulatory Network and Its Prognostic Prediction in Breast Cancer
title_sort identification of novel circrna-mirna-mrna regulatory network and its prognostic prediction in breast cancer
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/8ee7d1796eaf498da3d657f69fe901b4
work_keys_str_mv AT ruihuang identificationofnovelcircrnamirnamrnaregulatorynetworkanditsprognosticpredictioninbreastcancer
AT haoyu identificationofnovelcircrnamirnamrnaregulatorynetworkanditsprognosticpredictioninbreastcancer
AT xiaozhong identificationofnovelcircrnamirnamrnaregulatorynetworkanditsprognosticpredictioninbreastcancer
_version_ 1718443205666537472