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Gene Expression Profiling of Pancreatic Cancer Reveals a Significant Deregulation of the TGF-β Pathway and the Discovery of Genes for Prognosis

  • We have re-analyzed previously published gene expression data from ninety-four pancreatic ductal adenocarcinomas (PDAC) samples. We determined the gene expression profile of genes differentially expressed in PDAC compared to non-malignant pancreatic tissue. Using the 100 top-ranked genes, we were able to discriminate between PDAC and non-malignant pancreatic tissue. A hierarchical cluster analysis revealed only a 6 % false discovery rate. The prognostic strength of these discriminative genes was underscored by a SVM classification and 3-fold cross validation with an 89 % correct class assignment. The annotation of the 100 top-ranked genes revealed that most of the genes were involved in the processes of signal transduction, cell adhesion, extracellular matrix organization and cell migration. The most greatly affected signal cascade was the transforming growth factor β receptor signaling pathway, which was significantly enriched in the top-ranked genes. Furthermore, we identified eleven genes that were associated with good prognosis.

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Metadaten
Author:Andreas Klein, Heike Pospisil
URN:urn:nbn:de:kobv:526-opus4-6519
DOI:https://doi.org/10.14205/2311-0309.2014.02.01.3
ISSN:2311-0309
Parent Title (English):Global Journal of Human Genetics & Gene Therapy
Document Type:Article
Language:English
Year of Publication:2014
Publishing Institution:Technische Hochschule Wildau
Release Date:2016/07/12
Tag:TGF-β; gene expression profiling; pancreatic ductal adenocarcinoma
Volume:2
Issue:1
First Page:30
Last Page:39
Source:A. Klein and H. Pospisil: Gene Expression Profiling of Pancreatic Cancer Reveals a Significant Deregulation of the TGF-β Pathway and the Discovery of Genes for Prognosis. Global Journal of Human Genetics & Gene Therapy, 2014, Vol. 2, No. 1
Faculties an central facilities:Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Licence (German):Creative Commons - CC BY-NC 3.0 - Namensnennung-Nicht kommerziell 3.0 Unported
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