Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer
Studies have shown the difference appearing among the prognosis of patients in different age groups. However, the molecular mechanism implicated in this disparity have not been elaborated. In this study, expression profiles of female breast cancer (BRCA) associated mRNAs, lncRNAs and miRNAs were dow...
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doaj-304087b947e54bc48e4f3fbc83f8f5462021-04-21T06:13:07ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-04-011210.3389/fgene.2021.603544603544Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast CancerZhi-Qin Liu0Gao-Tao Zhang1Li Jiang2Chun-Qing Li3Que-Ting Chen4Du-Qiang Luo5Key Laboratory of Pharmaceutical Quality Control of Hebei Province, Institute of Life Science and Green Development, College of Pharmaceutical Science, Hebei University, Baoding, ChinaKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Life Science, Hebei University, Baoding, ChinaKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Life Science, Hebei University, Baoding, ChinaKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Life Science, Hebei University, Baoding, ChinaDepartment of Breast Surgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, ChinaKey Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education, College of Life Science, Hebei University, Baoding, ChinaStudies have shown the difference appearing among the prognosis of patients in different age groups. However, the molecular mechanism implicated in this disparity have not been elaborated. In this study, expression profiles of female breast cancer (BRCA) associated mRNAs, lncRNAs and miRNAs were downloaded from the TCGA database. The sample were manually classified into three groups according to their age at initial pathological diagnosis: young (age ≤ 39 years), elderly (age ≥ 65 years), and intermediate (age 40–64 years). lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) network was respectively constructed for different age BRCA. Then, the biological functions of differentially expressed mRNAs (DEmRNAs) in ceRNA network were further investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, survival analysis was used to identify prognostic biomarkers for different age BRCA patients. We identified 13 RNAs, 38 RNAs and 40 RNAs specific to patients aged ≤ 39 years, aged 40–64 years, and aged ≥ 65 years, respectively. Furthermore, the unique pathways were mainly enriched in cytokine-cytokine receptor interaction in patients aged 40–64 years, and were mainly enriched in TGF-beta signaling pathway in patients aged ≥ 65 years. According to the survival analysis, AGAP11, has-mir-301b, and OSR1 were respectively functioned as prognostic biomarkers in young, intermediate, and elderly group. In summary, our study identified the differences in the ceRNA regulatory networks and provides an effective bioinformatics basis for further understanding of the pathogenesis and predicting outcomes for different age BRCA.https://www.frontiersin.org/articles/10.3389/fgene.2021.603544/fullagebreast cancerceRNA networklncRNAmiRNA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhi-Qin Liu Gao-Tao Zhang Li Jiang Chun-Qing Li Que-Ting Chen Du-Qiang Luo |
spellingShingle |
Zhi-Qin Liu Gao-Tao Zhang Li Jiang Chun-Qing Li Que-Ting Chen Du-Qiang Luo Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer Frontiers in Genetics age breast cancer ceRNA network lncRNA miRNA |
author_facet |
Zhi-Qin Liu Gao-Tao Zhang Li Jiang Chun-Qing Li Que-Ting Chen Du-Qiang Luo |
author_sort |
Zhi-Qin Liu |
title |
Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer |
title_short |
Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer |
title_full |
Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer |
title_fullStr |
Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer |
title_full_unstemmed |
Construction and Comparison of ceRNA Regulatory Network for Different Age Female Breast Cancer |
title_sort |
construction and comparison of cerna regulatory network for different age female breast cancer |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2021-04-01 |
description |
Studies have shown the difference appearing among the prognosis of patients in different age groups. However, the molecular mechanism implicated in this disparity have not been elaborated. In this study, expression profiles of female breast cancer (BRCA) associated mRNAs, lncRNAs and miRNAs were downloaded from the TCGA database. The sample were manually classified into three groups according to their age at initial pathological diagnosis: young (age ≤ 39 years), elderly (age ≥ 65 years), and intermediate (age 40–64 years). lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) network was respectively constructed for different age BRCA. Then, the biological functions of differentially expressed mRNAs (DEmRNAs) in ceRNA network were further investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, survival analysis was used to identify prognostic biomarkers for different age BRCA patients. We identified 13 RNAs, 38 RNAs and 40 RNAs specific to patients aged ≤ 39 years, aged 40–64 years, and aged ≥ 65 years, respectively. Furthermore, the unique pathways were mainly enriched in cytokine-cytokine receptor interaction in patients aged 40–64 years, and were mainly enriched in TGF-beta signaling pathway in patients aged ≥ 65 years. According to the survival analysis, AGAP11, has-mir-301b, and OSR1 were respectively functioned as prognostic biomarkers in young, intermediate, and elderly group. In summary, our study identified the differences in the ceRNA regulatory networks and provides an effective bioinformatics basis for further understanding of the pathogenesis and predicting outcomes for different age BRCA. |
topic |
age breast cancer ceRNA network lncRNA miRNA |
url |
https://www.frontiersin.org/articles/10.3389/fgene.2021.603544/full |
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