NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE18109 Query DataSets for GSE18109
Status Public on Dec 22, 2010
Title Propionibacterium acnes as a frequent inflammatory agent involved in prostate cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Prostate cancer is the second leading cause of male cancer deaths in the United States and Europe. Current evidence implicates an inflammatory mechanism as a cause of prostate carcinogenesis. Here we show that the bacterium Propionibacterium acnes (P. acnes) is prevalent in prostate glandular tissues: 70% of benign hyperplasia and 81% of cancer tissue samples tested positive for the bacterium. Live P. acnes bacteria were isolated from cancerous prostates and co-cultured with epithelial prostate cells to confirm they were cell invasive. Transcriptome and ELISA studies revealed that P. acnes induced a strong inflammatory response in prostate cells, resulting in the secretion of cytokines and chemokines such as interleukin (IL)-6 and IL-8. In addition, P. acnes triggered the COX prostaglandin and the plasminogen-matrix metalloproteinase (MMP) pathways. Strikingly, long-term exposure of non-tumorigenic prostate cells to P. acnes resulted in loss of E-cadherin, altered betacatenin levels and localization, increased cellular migration, and conferred anchorage- independent growth. Our work adds to the growing body of work highlighting the presence of viruses and bacteria in cancerous prostate tissues and strongly suggests that P. acnes infection could lead to malignant transformation of prostate cells.
 
Overall design Microarray experiments were performed as dual-color hybridizations. To compensate for dye-specific effects, a dye-reversal color-swap was applied. Ratio profiles comprising color-swap hybridizations were combined in an error-weighted fashion to create ratio experiments. A 1.5–fold change expression cut-off for ratio experiments was applied together with anti-correlation of color-swap ratio profiles rendering the microarray analysis highly significant (P-value > 0.01), robust and reproducible.
 
Contributor(s) Mollenkopf H, Fassi-Fehri L, Brueggemann H, Mak T, Meyer TF
Citation(s) 20943438
Submission date Sep 15, 2009
Last update date Feb 22, 2018
Contact name Hans-Joachim Mollenkopf
E-mail(s) mollenkopf@mpiib-berlin.mpg.de
Phone +49 30 28460 482
Organization name Max-Planck-Institute for Infection Biology
Lab Microarray/Genomics Core Facility
Street address Charitéplatz 1
City Berlin
ZIP/Postal code 10117
Country Germany
 
Platforms (1)
GPL4133 Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version)
Samples (10)
GSM452317 RWPE P6 vs. RWPE ni 24h
GSM452318 RWPE ni vs. RWPE P6 24h
GSM452319 RWPE P6 vs. RWPE ni 96h
Relations
BioProject PRJNA119403

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE18109_RAW.tar 6.9 Mb (http)(custom) TAR
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap