ArticleCancer informatics2011
In silico analysis of combinatorial microRNA activity reveals target genes and pathways associated with breast cancer metastasis.
Article in Cancer informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- A comprehensively prognostic and immunological analysis of actin-related protein 2/3 complex subunit 5 in pan-cancer and identification in hepatocellular carcinoma.Frontiers in immunology · 2022Article
- A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer.Frontiers in genetics · 2019Article
- A distinct microRNA expression profile is associated with α[Neurobiology of disease · 2018Article
- Cortical Tubers: Windows into Dysregulation of Epilepsy Risk and Synaptic Signaling Genes by MicroRNAs.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
- Regulatory RNAs controlling vascular (dys)function by affecting TGF-ß family signalling.EXCLI journal · 2015Review
- The emerging role of miRNAs in inflammatory bowel disease: a review.Therapeutic advances in gastroenterology · 2015Review
- Experimental procedures to identify and validate specific mRNA targets of miRNAs.EXCLI journal · 2015Review
- Progesterone receptor and Stat5 signaling cross talk through RANKL in mammary epithelial cells.Molecular endocrinology (Baltimore, Md.) · 2013Article
- MicroRNA in cardiovascular calcification: focus on targets and extracellular vesicle delivery mechanisms.Circulation research · 2013Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Aberrant microRNA activity has been reported in many diseases, and studies often find numerous microRNAs concurrently dysregulated. Most target genes have binding sites for multiple microRNAs, and mounting evidence indicates that it is important to consider their combinatorial effect on target gene repression. A recent study associated the coincident loss of expression of six microRNAs with metastatic potential in breast cancer. Here, we used a new computational method, miR-AT!, to investigate combinatorial activity among this group of microRNAs. We found that the set of transcripts having multiple target sites for these microRNAs was significantly enriched with genes involved in cellular processes commonly perturbed in metastatic tumors: cell cycle regulation, cytoskeleton organization, and cell adhesion. Network analysis revealed numerous target genes upstream of cyclin D1 and c-Myc, indicating that the collective loss of the six microRNAs may have a focal effect on these two key regulatory nodes. A number of genes previously implicated in cancer metastasis are among the predicted combinatorial targets, including TGFB1, ARPC3, and RANKL. In summary, our analysis reveals extensive combinatorial interactions that have notable implications for their potential role in breast cancer metastasis and in therapeutic development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.