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Infectious Agents and Cancer
Published in: Infectious Agents and Cancer 1/2007

Open Access 01-12-2007 | Research article

Genome wide expression analysis in HPV16 Cervical Cancer: identification of altered metabolic pathways

Authors: Carlos Pérez-Plasencia, Guelaguetza Vázquez-Ortiz, Ricardo López-Romero, Patricia Piña-Sanchez, José Moreno, Mauricio Salcedo

Published in: Infectious Agents and Cancer | Issue 1/2007

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Abstract

Background

Cervical carcinoma (CC) is a leading cause of death among women worldwide. Human papilloma virus (HPV) is a major etiological factor in CC and HPV 16 is the more frequent viral type present. Our aim was to characterize metabolic pathways altered in HPV 16 tumor samples by means of transcriptome wide analysis and bioinformatics tools for visualizing expression data in the context of KEGG biological pathways.

Results

We found 2,067 genes significantly up or down-modulated (at least 2-fold) in tumor clinical samples compared to normal tissues, representing ~3.7% of analyzed genes. Cervical carcinoma was associated with an important up-regulation of Wnt signaling pathway, which was validated by in situ hybridization in clinical samples. Other up-regulated pathways were those of calcium signaling and MAPK signaling, as well as cell cycle-related genes. There was down-regulation of focal adhesion, TGF-β signaling, among other metabolic pathways.

Conclusion

This analysis of HPV 16 tumors transcriptome could be useful for the identification of genes and molecular pathways involved in the pathogenesis of cervical carcinoma. Understanding the possible role of these proteins in the pathogenesis of CC deserves further studies.
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Metadata
Title
Genome wide expression analysis in HPV16 Cervical Cancer: identification of altered metabolic pathways
Authors
Carlos Pérez-Plasencia
Guelaguetza Vázquez-Ortiz
Ricardo López-Romero
Patricia Piña-Sanchez
José Moreno
Mauricio Salcedo
Publication date
01-12-2007
Publisher
BioMed Central
Published in
Infectious Agents and Cancer / Issue 1/2007
Electronic ISSN: 1750-9378
DOI
https://doi.org/10.1186/1750-9378-2-16

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