An integrated analysis to predict micro‐RNAs targeting both stemness and metastasis in breast cancer stem cells

Several evidences support the idea that a small population of tumour cells representing self‐renewal potential are involved in initiation, maintenance, metastasis, and outcomes of cancer therapy. Elucidation of microRNAs/genes regulatory networks activated in cancer stem cells (CSCs) is necessary fo...

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Veröffentlicht in:Journal of cellular and molecular medicine 2019-04, Vol.23 (4), p.2442-2456
Hauptverfasser: Rahimi, Mahsa, Sharifi‐Zarchi, Ali, Firouzi, Javad, Azimi, Mahnaz, Zarghami, Nosratollah, Alizadeh, Effat, Ebrahimi, Marzieh
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container_issue 4
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container_title Journal of cellular and molecular medicine
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creator Rahimi, Mahsa
Sharifi‐Zarchi, Ali
Firouzi, Javad
Azimi, Mahnaz
Zarghami, Nosratollah
Alizadeh, Effat
Ebrahimi, Marzieh
description Several evidences support the idea that a small population of tumour cells representing self‐renewal potential are involved in initiation, maintenance, metastasis, and outcomes of cancer therapy. Elucidation of microRNAs/genes regulatory networks activated in cancer stem cells (CSCs) is necessary for the identification of new targets for cancer therapy. The aim of the present study was to predict the miRNAs pattern, which can target both metastasis and self‐renewal pathways using integration of literature and data mining. For this purpose, mammospheres derived from MCF‐7, MDA‐MB231, and MDA‐MB468 were used as breast CSCs model. They had higher migration, invasion, and colony formation potential, with increasing in stemness‐ and EMT‐related genes expression. Our results determined that miR‐204, ‐200c, ‐34a, and ‐10b contemporarily could target both self‐renewal and EMT pathways. This core regulatory of miRNAs could increase the survival rate of breast invasive carcinoma via up‐regulation of OCT4, SOX2, KLF4, c‐MYC, NOTCH1, SNAI1, ZEB1, and CDH2 and down‐regulation of CDH1. The majority of those target genes were involved in the regulation of pluripotency, MAPK, WNT, Hedgehog, p53, and transforming growth factor β pathways. Hence, this study provides novel insights for targeting core regulatory of miRNAs in breast CSCs to target both self‐renewal and metastasis potential and eradication of breast cancer.
doi_str_mv 10.1111/jcmm.14090
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Elucidation of microRNAs/genes regulatory networks activated in cancer stem cells (CSCs) is necessary for the identification of new targets for cancer therapy. The aim of the present study was to predict the miRNAs pattern, which can target both metastasis and self‐renewal pathways using integration of literature and data mining. For this purpose, mammospheres derived from MCF‐7, MDA‐MB231, and MDA‐MB468 were used as breast CSCs model. They had higher migration, invasion, and colony formation potential, with increasing in stemness‐ and EMT‐related genes expression. Our results determined that miR‐204, ‐200c, ‐34a, and ‐10b contemporarily could target both self‐renewal and EMT pathways. This core regulatory of miRNAs could increase the survival rate of breast invasive carcinoma via up‐regulation of OCT4, SOX2, KLF4, c‐MYC, NOTCH1, SNAI1, ZEB1, and CDH2 and down‐regulation of CDH1. The majority of those target genes were involved in the regulation of pluripotency, MAPK, WNT, Hedgehog, p53, and transforming growth factor β pathways. 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subjects Breast cancer
breast cancer stem cell
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Cancer therapies
Cell adhesion & migration
Cell Movement - genetics
Cell Proliferation - genetics
Cell self-renewal
Data processing
E-cadherin
EMT
Epithelial-Mesenchymal Transition - genetics
Eradication
Female
Gene Expression Regulation, Neoplastic - genetics
Genes
Growth factors
Humans
Invasiveness
KLF4 protein
MAP kinase
MCF-7 Cells
Metastases
Metastasis
MicroRNAs
MicroRNAs - classification
MicroRNAs - genetics
Migration
miRNA
miRNAs
Myc protein
Neoplasm Metastasis
Neoplasm Proteins - classification
Neoplasm Proteins - genetics
Neoplastic Stem Cells - metabolism
Neoplastic Stem Cells - pathology
Oct-4 protein
Original
p53 Protein
Pluripotency
Regulation
self‐renewal
Snail protein
Stem cells
Transforming growth factor
Transforming growth factor-b
Tumors
Wnt protein
title An integrated analysis to predict micro‐RNAs targeting both stemness and metastasis in breast cancer stem cells
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