Overexpression of suppressive microRNAs, miR-30a and miR-200c are associated with improved survival of breast cancer patients

Kawaguchi, Tsutomu; Yan, Li; Qi, Qianya; Peng, Xuan; Gabriel, Emmanuel; Young, Joseph C.; Liu, Song; Takabe, Kazuaki

doi:10.1038/s41598-017-16112-y

Cited by 62 publications

(65 citation statements)

References 82 publications

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“…netDx selected pathways with themes similar to the Luminal A gene expression‐based predictor previously mentioned (Fig B), including cell cycle regulation and DNA damage repair (Appendix Fig S4A). DIABLO identified a range of features correlated with outcome, such as the known link of mir‐30a overexpression with improved survival in both luminal and basal tumors (Kawaguchi et al , ). It also highlighted individual genes present in the pathways found by netDx (Appendix Fig S4B), for example, CENPA and AURKB in Aurora signaling pathways.…”

Section: Discussionmentioning

confidence: 99%

netDx: interpretable patient classification using integrated patient similarity networks

Pai

Hui

Isserlin

et al. 2019

Molecular Systems Biology

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Patient classification has widespread biomedical and clinical applications, including diagnosis, prognosis, and treatment response prediction. A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. A clinical predictor based on genomic data needs to be interpretable to drive hypothesis‐driven research into new treatments. We describe netDx, a novel supervised patient classification framework based on patient similarity networks, which meets these criteria. In a cancer survival benchmark dataset integrating up to six data types in four cancer types, netDx significantly outperforms most other machine‐learning approaches across most cancer types. Compared to traditional machine‐learning‐based patient classifiers, netDx results are more interpretable, visualizing the decision boundary in the context of patient similarity space. When patient similarity is defined by pathway‐level gene expression, netDx identifies biological pathways important for outcome prediction, as demonstrated in breast cancer and asthma. netDx can serve as a patient classifier and as a tool for discovery of biological features characteristic of disease. We provide a free software implementation of netDx with automation workflows.

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Section: Discussionmentioning

confidence: 99%

netDx: interpretable patient classification using integrated patient similarity networks

Pai

Hui

Isserlin

et al. 2019

Molecular Systems Biology

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“…In previous studies, a substantial number of drug‐metabolizing enzymes under the regulatory control of the AhR signaling pathway have been shown to be modulated by miRNAs and certain miRNAs have been shown to be differently expressed in cancer tissues in comparison to normal tissues . Also the distinct role of estrogen receptor in developing cancer has been documented so far .…”

Section: Discussionmentioning

confidence: 99%

“…Another extensively investigated miRNA is miR‐206, which regulates cell cycle arrest and inhibits estrogen‐induced cell proliferation . miR‐206 also suppresses cell migration in breast cancer cells by the inhibition of the ERα expression . In accordance, the expression of miR‐133a is downregulated in breast cancer cells.…”

Section: Introductionmentioning

confidence: 99%

Aryl hydrocarbon‐estrogen alpha receptor‐dependent expression of miR‐206, miR‐27b, and miR‐133a suppress cell proliferation and migration in MCF‐7 cells

Mobini

Tamaddon

Fardid

et al. 2019

J Biochem & Molecular Tox

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The underlying functions of miR‐206, miR‐133a, miR‐27b, and miR‐21, and their link to the estrogen receptor alpha (ERα) and aryl hydrocarbon receptor (AhR) signaling pathways remain largely unexplored. In this study, we detect the expression of miR‐206, miR‐133a, miR‐27b, and miR‐21 in MCF‐7 through quantificational real‐time polymerase chain reaction assay along with the activation/inhibition of ERα and AhR receptors. Aside from this, cell proliferation and migration as well as AhR‐dependent CYP1A1 enzyme activity were measured. Here, we found that the forced increased expression of miR‐206, miR‐133a, and miR‐27b were closely associated with the suppression of MCF‐7 cell proliferation and migration. The anti‐proliferative‐metastatic effect of miR‐206, miR‐133a, and miR‐27b was probably mediated by targeting the ERα and AhR signaling pathways. Considered together, our study indicated that the overexpression of miR‐206, miR‐133a, and miR‐27b might be potential biomarkers for prognosis and therapeutic strategies in breast cancer.

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“…[25,26]. Its upregulation, nevertheless, was associated with increased sensitivity to radiation treatment, and it is associated with better overall survival in ER positive breast cancer [27,28]. miR-200c belongs to a cluster of miRNAs known as the miR-200bc/429 cluster.…”

Section: Discussionmentioning

confidence: 99%

miRNA expression in advanced Algerian breast cancer tissues

et al. 2020

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Breast cancer is one of the commonest cancers among Algerian females. Compared to Western populations, the median age of diagnosis of breast cancer is much lower in Algeria. The objective of this study is to explore the expression of several miRNAs reported to be deregulated in breast cancer. The miRNAs miR-21, miR-125b, miR-100, miR-425-5p, miR-200c, miR-183 and miR-182 were studied on tumor and normal adjacent Algerian breast tissues using quantitative reverse transcription real time PCR, and the results were analyzed according to clinical characteristics. Compared to the normal adjacent tissues, miR-21, miR-183, miR-182, miR-425-5p and miR-200c were found to be upregulated while miR-100 and miR-125b were insignificantly deregulated. A positive correlation was noted among miR-183, miR-182 and miR-200c and among miR-425-5p, miR-183, miR-200c and miR-21. Further global miRNA microarray profiling studies can aid in finding ethnic specific miRNA biomarkers in the Algerian breast cancer population.

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Overexpression of suppressive microRNAs, miR-30a and miR-200c are associated with improved survival of breast cancer patients

Cited by 62 publications

References 82 publications

netDx: interpretable patient classification using integrated patient similarity networks

netDx: interpretable patient classification using integrated patient similarity networks

Aryl hydrocarbon‐estrogen alpha receptor‐dependent expression of miR‐206, miR‐27b, and miR‐133a suppress cell proliferation and migration in MCF‐7 cells

miRNA expression in advanced Algerian breast cancer tissues

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