ArticleBMC medical genomics2013
Key genes for modulating information flow play a temporal role as breast tumor coexpression networks are dynamically rewired by letrozole.
Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Predicting functional and regulatory divergence of a drug resistance transporter gene in the human malaria parasite.BMC genomics · 2015Article
- Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.Advanced drug delivery reviews · 2015Review
- Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.BioData mining · 2015Article
- Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics.BMC systems biology · 2014Article
- Translational bioinformatics has now come of age: TBC 2012 collection.BMC medical genomics · 2013Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGenes do not act in isolation but instead as part of complex regulatory networks. To understand how breast tumors adapt to the presence of the drug letrozole, at the molecular level, it is necessary to consider how the expression levels of genes in these networks change relative to one another.
methodsUsing transcriptomic data generated from sequential tumor biopsy samples, taken at diagnosis, following 10-14 days and following 90 days of letrozole treatment, and a pairwise partial correlation statistic, we build temporal gene coexpression networks. We characterize the structure of each network and identify genes that hold prominent positions for maintaining network integrity and controlling information-flow.
resultsLetrozole treatment leads to extensive rewiring of the breast tumor coexpression network. Approximately 20% of gene-gene relationships are conserved over time in the presence of letrozole while 80% of relationships are condition dependent. The positions of influence within the networks are transiently held with few genes stably maintaining high centrality scores across the three time points.
conclusionsGenes integral for maintaining network integrity and controlling information flow are dynamically changing as the breast tumor coexpression network adapts to perturbation by the drug letrozole.
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