Investigating XXXX physiology through gene expression patterns.

@entity5 @entity1 @entity519 @entity3
Clinical evidence shows that @entity5 is an independent prognostic indicator of poor @entity1 outcome. @entity5 have altered physiologic processes, including increased regions of angiogenesis, @entity3 , increased distant metastasis and altered apoptotic programs. Since @entity519 is a potent controller of gene expression, identifying @entity519 -regulated genes is a means to investigate the molecular response to @entity519 stress. Traditional experimental approaches have identified physiologic changes in @entity519 cells. Recent studies have identified @entity519 -responsive genes that may define the mechanism(s) underlying these physiologic changes. For example, the regulation of glycolytic genes by @entity519 can explain some characteristics of the Warburg effect. The converse of this logic is also true. By identifying new classes of @entity519 -regulated gene(s), we can infer the physiologic pressures that require the induction of these genes and their protein products. Furthermore, these physiologically driven @entity519 gene expression changes give us insight as to the poor outcome of @entity1 with @entity5 . Approximately 1-1.5% of the genome is transcriptionally responsive to @entity519 . However, there is significant heterogeneity in the transcriptional response to @entity519 between different cell types. Moreover, the coordinated change in the expression of families of genes supports the model of physiologic pressure leading to expression changes. Understanding the evolutionary pressure to develop a ' @entity519 response' provides a framework to investigate the biology of the @entity5 microenvironment.
