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Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer

Accumulated evidence has demonstrated exosomes of cancer cells carry microRNAs (miRNAs) to non-malignant cells to induce metastasis. The present study aimed to identify crucial exosomal miRNAs for breast cancer (BC) using microarray data (GSE83669 and GSE50429) from Gene Expression Omnibus database,...

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Autores principales: Xin, Ying, Wang, Xueqiang, Meng, Kexin, Ni, Chao, Lv, Zhenye, Guan, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970063/
https://www.ncbi.nlm.nih.gov/pubmed/31763681
http://dx.doi.org/10.1042/BSR20190303
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author Xin, Ying
Wang, Xueqiang
Meng, Kexin
Ni, Chao
Lv, Zhenye
Guan, Dandan
author_facet Xin, Ying
Wang, Xueqiang
Meng, Kexin
Ni, Chao
Lv, Zhenye
Guan, Dandan
author_sort Xin, Ying
collection PubMed
description Accumulated evidence has demonstrated exosomes of cancer cells carry microRNAs (miRNAs) to non-malignant cells to induce metastasis. The present study aimed to identify crucial exosomal miRNAs for breast cancer (BC) using microarray data (GSE83669 and GSE50429) from Gene Expression Omnibus database, including exosomal samples from human BC cells (MCF7, MDA-MB-231) and normal mammary epithelial cell line (MCF10, MCF-10A), as well as original cell samples. Differentially expressed miRNAs (DEMs) were identified using EdgeR package, and mRNA targets were predicted using miRWalk2 database. The target genes were overlapped with BC genes from Comparative Toxicogenomics Database (CTD) to construct BC-related interaction network. Potential functions were analyzed by DAVID. The expression of crucial miRNAs and target genes were confirmed in other microarray datasets or TCGA sequencing data. Their associations with survival and other clinical characteristics were validated by Kaplan–Meier plotter and LinkedOmics database. As a result, 9 and 8 DEMs were identified to be shared in two datasets for exosomal and original cells, respectively. Further comparison showed that miR-455-5p was specifically differentially expressed in exosomes, and miR-1255a was commonly expressed in exosomal and original cells samples. miR-455-5p could interact with CDKN1B to influence cell cycle process and miR-1255a could regulate SMAD4 to participate in TGF-β signaling pathway. High expressed miR-455-5p (basal-like) and miR-1255a (overall) were associated with poor overall survival, while the high expression of their target genes was associated with excellent overall, recurrence-free or distant metastasis-free survival. In conclusion, the present study preliminarily indicates that exosomal miR-455-5p and miR-1255a may be novel therapeutic targets for BC.
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spelling pubmed-69700632020-01-24 Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer Xin, Ying Wang, Xueqiang Meng, Kexin Ni, Chao Lv, Zhenye Guan, Dandan Biosci Rep Bioinformatics Accumulated evidence has demonstrated exosomes of cancer cells carry microRNAs (miRNAs) to non-malignant cells to induce metastasis. The present study aimed to identify crucial exosomal miRNAs for breast cancer (BC) using microarray data (GSE83669 and GSE50429) from Gene Expression Omnibus database, including exosomal samples from human BC cells (MCF7, MDA-MB-231) and normal mammary epithelial cell line (MCF10, MCF-10A), as well as original cell samples. Differentially expressed miRNAs (DEMs) were identified using EdgeR package, and mRNA targets were predicted using miRWalk2 database. The target genes were overlapped with BC genes from Comparative Toxicogenomics Database (CTD) to construct BC-related interaction network. Potential functions were analyzed by DAVID. The expression of crucial miRNAs and target genes were confirmed in other microarray datasets or TCGA sequencing data. Their associations with survival and other clinical characteristics were validated by Kaplan–Meier plotter and LinkedOmics database. As a result, 9 and 8 DEMs were identified to be shared in two datasets for exosomal and original cells, respectively. Further comparison showed that miR-455-5p was specifically differentially expressed in exosomes, and miR-1255a was commonly expressed in exosomal and original cells samples. miR-455-5p could interact with CDKN1B to influence cell cycle process and miR-1255a could regulate SMAD4 to participate in TGF-β signaling pathway. High expressed miR-455-5p (basal-like) and miR-1255a (overall) were associated with poor overall survival, while the high expression of their target genes was associated with excellent overall, recurrence-free or distant metastasis-free survival. In conclusion, the present study preliminarily indicates that exosomal miR-455-5p and miR-1255a may be novel therapeutic targets for BC. Portland Press Ltd. 2020-01-17 /pmc/articles/PMC6970063/ /pubmed/31763681 http://dx.doi.org/10.1042/BSR20190303 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Bioinformatics
Xin, Ying
Wang, Xueqiang
Meng, Kexin
Ni, Chao
Lv, Zhenye
Guan, Dandan
Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title_full Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title_fullStr Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title_full_unstemmed Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title_short Identification of exosomal miR-455-5p and miR-1255a as therapeutic targets for breast cancer
title_sort identification of exosomal mir-455-5p and mir-1255a as therapeutic targets for breast cancer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970063/
https://www.ncbi.nlm.nih.gov/pubmed/31763681
http://dx.doi.org/10.1042/BSR20190303
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