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Erschienen in: Medical Oncology 2/2010

01.06.2010 | Original Paper

Systematic analysis of microRNA involved in resistance of the MCF-7 human breast cancer cell to doxorubicin

verfasst von: Guo-Qing Chen, Zhi-Wei Zhao, Hong-Ying Zhou, Yuan-Jie Liu, Hui-Jun Yang

Erschienen in: Medical Oncology | Ausgabe 2/2010

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Abstract

Multidrug resistance remains a major clinical obstacle to successful treatment of breast cancer and leads to poor prognosis for the patients. Recently studies have shown that microRNAs play an important role in breast cancer cell resistance to chemotherapeutic agents. In this study, microRNA expression profiles of MCF-7/AdrVp and MCF-7 were analyzed using microarray and the results were confirmed by real-time RT-polymerase chain reaction. Gene Ontology (GO) and pathways mapping tools were employed to analyse systemically the biological processes and signaling pathways affected by differential expression microRNAs. Here, we showed that 181 human microRNAs were differentially expressed between two cell lines. Compared to MCF-7 cells, there were 16 microRNAs down-regulated and 165 microRNAs up-regulated in MCF-7/AdrVp. Western blot confirmed the correlation between specific microRNA expression and corresponding changes in protein levels of their targets, specifically those that have a documented role in cancer drug resistance. Furthermore, we validated that signaling pathway highlighted in the study was involved in drug resistance. These results indicated that breast cancer cell resistant to chemotherapy was associated with a group of microRNAs. GO and pathway mapping are valid and effective approach to analyse the function of microRNAs and the results could be a guideline for further investigation.
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Metadaten
Titel
Systematic analysis of microRNA involved in resistance of the MCF-7 human breast cancer cell to doxorubicin
verfasst von
Guo-Qing Chen
Zhi-Wei Zhao
Hong-Ying Zhou
Yuan-Jie Liu
Hui-Jun Yang
Publikationsdatum
01.06.2010
Verlag
Springer US
Erschienen in
Medical Oncology / Ausgabe 2/2010
Print ISSN: 1357-0560
Elektronische ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-009-9225-9

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