Literature DB >> 21136972

Integrative analysis of cancer pathway progression and coherence.

Ertugrul Dalkic1, Daniel Elwin Walter Nash, Mohammad Kasim Fassia, Christina Chan.   

Abstract

We analyzed the cancer pathways in the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. The database provides a collective of signaling pathway members involved in cancer progression. However, the KEGG cancer pathways, unlike signaling pathways, have not been analyzed extensively with gene expression and mutation data. We transformed the colorectal cancer pathway into discrete X and Y scales and analyzed the relative expression levels of adenoma and carcinoma samples as well as the distribution of mutation targets. The X scale corresponds to the downstream location in a pathway, whereas the Y scale corresponds to the stage of the tumor. The gene expression values of the early stage pathway members are significantly higher than of the rest of the pathway members in colorectal adenoma tissues. The colorectal cancer pathway shows some degree of coherence in the carcinoma samples. The correlated gene pairs responsible for the coherence of the colorectal cancer pathway in the carcinoma samples are supported, in part, by the literature and may suggest novel regulatory associations. Finally, there are more mutation targets in the nucleus as well as the late tumor stages of the KEGG colorectal cancer pathway.
Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2009        PMID: 21136972      PMCID: PMC3033602          DOI: 10.1002/prca.200800074

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  27 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Correlation of PIK3Ca mutations with gene expression and drug sensitivity in NCI-60 cell lines.

Authors:  David B Whyte; Susan L Holbeck
Journal:  Biochem Biophys Res Commun       Date:  2005-12-15       Impact factor: 3.575

3.  Characterization of the c-MYC-regulated transcriptome by SAGE: identification and analysis of c-MYC target genes.

Authors:  Antje Menssen; Heiko Hermeking
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  PDGFRalpha/beta expression correlates with the metastatic behavior of human colorectal cancer: a possible rationale for a molecular targeting strategy.

Authors:  Thomas C Wehler; Kirsten Frerichs; Claudine Graf; Daniel Drescher; Katrin Schimanski; Stefan Biesterfeld; Martin R Berger; Stephan Kanzler; Theodor Junginger; Peter R Galle; Markus Moehler; Ines Gockel; Carl C Schimanski
Journal:  Oncol Rep       Date:  2008-03       Impact factor: 3.906

6.  Modeling cancer progression via pathway dependencies.

Authors:  Elena J Edelman; Justin Guinney; Jen-Tsan Chi; Phillip G Febbo; Sayan Mukherjee
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

Review 7.  Genomic instability and colon cancer.

Authors:  William M Grady
Journal:  Cancer Metastasis Rev       Date:  2004 Jan-Jun       Impact factor: 9.264

Review 8.  Microsatellite instability in colorectal cancer.

Authors:  K Söreide; E A M Janssen; H Söiland; H Körner; J P A Baak
Journal:  Br J Surg       Date:  2006-04       Impact factor: 6.939

9.  From genomics to chemical genomics: new developments in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Masahiro Hattori; Kiyoko F Aoki-Kinoshita; Masumi Itoh; Shuichi Kawashima; Toshiaki Katayama; Michihiro Araki; Mika Hirakawa
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  A hierarchical approach employing metabolic and gene expression profiles to identify the pathways that confer cytotoxicity in HepG2 cells.

Authors:  Zheng Li; Shireesh Srivastava; Xuerui Yang; Sheenu Mittal; Paul Norton; James Resau; Brian Haab; Christina Chan
Journal:  BMC Syst Biol       Date:  2007-05-11
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