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  Integrative analysis of cancer-related signaling pathways

Kessler, T., Hache, H., & Wierling, C. (2013). Integrative analysis of cancer-related signaling pathways. Frontiers in Physiology, 4, 4:124-4:124. doi:10.3389/fphys.2013.00124.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-05F8-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-CE57-1
Genre: Journal Article

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Copyright Date:
2013
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2013 Kessler, Hache and Wierling.

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 Creators:
Kessler, T.1, Author              
Hache, H.1, Author              
Wierling, C.1, Author              
Affiliations:
1Systems Biology (Christoph Wierling), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479656              

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Free keywords: modeling of signaling pathway, cancer gene expression, expression signature, sample stratification, microarray analysis
 Abstract: Identification and classification of cancer types and subtypes is a major issue in current cancer research. Whole genome expression profiling of cancer tissues is often the basis for such subtype classifications of tumors and different signatures for individual cancer types have been described. However, the search for best performing discriminatory gene-expression signatures covering more than one cancer type remains a relevant topic in cancer research as such a signature would help understanding the common changes in signaling networks in these disease types. In this work, we explore the idea of a top down approach for sample stratification based on a module-based network of cancer relevant signaling pathways. For assembly of this network, we consider several of the most established cancer pathways. We evaluate our sample stratification approach using expression data of human breast and ovarian cancer signatures. We show that our approach performs equally well to previously reported methods besides providing the advantage to classify different cancer types. Furthermore, it allows to identify common changes in network module activity of those cancer samples.

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Language(s): eng - English
 Dates: 2013-06-04
 Publication Status: Published online
 Pages: 19
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fphys.2013.00124
ISSN: 1664-042X (Electronic)1664-042X (Linking)
 Degree: -

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Title: Frontiers in Physiology
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Research Foundation
Pages: 19 Volume / Issue: 4 Sequence Number: - Start / End Page: 4:124 - 4:124 Identifier: Other: 1664-042X
CoNE: https://pure.mpg.de/cone/journals/resource/1664-042X