Look who’s talking: deregulated signaling in colorectal cancer

Background: The phenotypic expression of any given heterogeneous tissue type is the composite of interactions between individual cell types governed principally by inherent, cell-specific molecular mechanisms. Materials and Methods: Using a combination of laser-capture microdissection, oligonucleoti...

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Bibliographic Details
Main Authors: Abba, Mohammed L. (Author) , Maier-Laufs, Stephanie (Author) , Benner, Axel (Author) , Allgayer, Heike (Author)
Format: Article (Journal)
Language:English
Published: 2012
In: Cancer genomics & proteomics
Year: 2012, Volume: 9, Issue: 1, Pages: 15-25
ISSN:1790-6245
Online Access:Verlag, Volltext: http://cgp.iiarjournals.org/content/9/1/15
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Author Notes:Mohammed Abba, Stephanie Laufs, Monireh Aghajany, Bernhard Korn, Axel Benner and Heike Allgayer
Description
Summary:Background: The phenotypic expression of any given heterogeneous tissue type is the composite of interactions between individual cell types governed principally by inherent, cell-specific molecular mechanisms. Materials and Methods: Using a combination of laser-capture microdissection, oligonucleotide microarrays, bioinformatic and statistical tools, we analyzed colorectal cancer tissues in order to spot the significant pathways that were differentially deregulated between the epithelial and stromal compartments and compared these alongside the ones of whole tissue dissection. Results: The stromal pathway profiles were very similar to the ones of whole tissue, in contrast to the epithelial input, with stroma emerging as the major determinant of the cancer phenotype. Differentially expressed genes in the epithelial compartment correlated significantly with the carbohydrate antigen 19-9 tumor marker. Conclusion: The accurate interpretation of data arising from the analysis of heterogeneous tissue structures lends itself to inherent biases of its constitutive components with each component presenting explorable analytical advantages.
Item Description:Gesehen am 04.12.2018
Physical Description:Online Resource
ISSN:1790-6245