ArticleBioMed research international2014
A systematic analysis of miRNA-mRNA paired variations reveals widespread miRNA misregulation in breast cancer.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Lactylation-mediated miRNA regulation in cancer therapy resistance.Journal of translational medicine · 2025Review
- Machine Learning Based Network Analysis Determined Clinically Relevant miRNAs in Breast Cancer.Frontiers in genetics · 2020Article
- Elementary screening of lymph node metastatic-related genes in gastric cancer based on the co-expression network of messenger RNA, microRNA and long non-coding RNA.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2018Article
- Genetic variants in microRNA and microRNA biogenesis pathway genes and breast cancer risk among women of African ancestry.Human genetics · 2016Article
- MicroRNA-20a-5p contributes to hepatic glycogen synthesis through targeting p63 to regulate p53 and PTEN expression.Journal of cellular and molecular medicine · 2016Article
- Genome-wide analysis of microRNA and mRNA expression signatures in cancer.Acta pharmacologica Sinica · 2015Review
- Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.BMC systems biology · 2015Review
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Authors and funding
8 authors.
Funding
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Abstract
MicroRNAs (miRNAs) are a class of small noncoding RNAs that can regulate gene expression by binding to target mRNAs and induce translation repression or RNA degradation. There have been many studies indicating that both miRNAs and mRNAs display aberrant expression in breast cancer. Previously, most researches into the molecular mechanism of breast cancer examined miRNA expression patterns and mRNA expression patterns separately. In this study, we systematically analysed miRNA-mRNA paired variations (MMPVs), which are miRNA-mRNA pairs whose pattern of regulation can vary in association with biopathological features, such as the oestrogen receptor (ER), TP53 and human epidermal growth factor receptor 2 (HER2) genes, survival time, and breast cancer subtypes. We demonstrated that the existence of MMPVs is general and widespread but that there is a general unbalance in the distribution of MMPVs among the different biopathological features. Furthermore, based on studying MMPVs that are related to multiple biopathological features, we propose a potential crosstalk mechanism between ER and HER2.
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