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Analysis of miRNA functional synergistic network in breast cancer
Geng X.1; Kong X.1; Chen Q.2; Su S.2; Hu Y.2
2017-06-22
Conference Name6th International Conference on Bioinformatics and Biomedical Science, ICBBS 2017
Source PublicationACM International Conference Proceeding Series
VolumePart F130950
Pages22-29
Conference Date22 June 2017through 24 June 2017
Conference PlaceSingapore
Abstract

In view of the importance of microRNAs (miRNAs) in breast cancer, it is of great significance to provide a better understanding on the synergistic regulations of miRNAs in breast cancer for developing relevant diagnosis and therapy strategies. We collected the differentially expressed miRNAs (DE-miRNAs) in breast cancer from public databases and literatures, retrieved the predicted target genes of DE-miRNAs from miRecords, and further used ClueGO to perform KEGG functional enrichment analysis. Moreover, the complex synergistic relationships among DE-miRNAs were demonstrated by constructing miRNA-miRNA functional synergistic networks and sub-networks. The results indicate that both up- and down-regulated miRNAs play essential roles in the tumorigenesis, progression, metastasis, angiogenesis, and/or immune escaping of breast cancer. Furthermore, we found that the synergistic effect is stronger among miRNA family members than non-family miRNAs. The miR-15 family, miR-203, miR-579, miR-495, and miR-432, play a significant synergistic role in the initiation and development of breast cancer. These findings might provide new insights in understanding the mechanisms of breast tumorigenesis mediated by miRNAs, as well as contribute to the diagnosis and treatment of breast cancer.

KeywordBreast Cancer Differentially Expressed Micrornas Functional Synergistic Network Mir-15 Family
DOI10.1145/3121138.3121188
URLView the original
Language英語English
Scopus ID2-s2.0-85032631389
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Shanghai University of Traditional Chinese Medicine
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Geng X.,Kong X.,Chen Q.,et al. Analysis of miRNA functional synergistic network in breast cancer[C], 2017, 22-29.
APA Geng X.., Kong X.., Chen Q.., Su S.., & Hu Y. (2017). Analysis of miRNA functional synergistic network in breast cancer. ACM International Conference Proceeding Series, Part F130950, 22-29.
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