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Status |
Public on Oct 03, 2006 |
Title |
Mouse Stromal Response to Tumor Invasion |
Organism |
Mus musculus |
Experiment type |
Expression profiling by array
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Summary |
Primary and metastatic tumor growth induce host tissue responses that are believed to support tumor progression. Understanding the molecular changes within the tumor microenvironment during tumor progression may therefore be relevant not only for discovering potential therapeutic targets but also for identifying putative molecular signatures that may improve tumor classification and predict clinical outcome. To selectively address stromal gene expression changes during cancer progression we performed cDNA microarray analysis of laser-microdissected stromal cells derived from prostate intraepithelial neoplasia (PIN) and invasive cancer in a multistage model of prostate carcinogenesis. Human orthologs of genes identified in the stromal reaction to tumor progression in this mouse model were observed to be expressed in several human cancers and to cluster prostate and breast cancer patients into groups with statistically different clinical outcomes. Univariate Cox analysis showed that overexpression of these genes is associated with shorter survival and recurrence free periods. Taken together our observations provide evidence that the expression signature of the stromal response to tumor invasion in a mouse tumor model can be used to probe human cancer and provide a powerful prognostic indicator for some of the most frequent human malignancies. Keywords: disease state analysis
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Overall design |
Samples from 10 mice, 6 with invasive cancer and 4 with prostate intraepithelial neoplasia (PIN), were analyzed. The common reference (control) for all 10 samples was provided by pooled mRNA from the 4 PIN samples. In each of the 10 microarrays the control RNA (pooled from 4 PIN samples) was labeled with Cy3 and the test RNA (derived from each PIN lesion and invasive carcinoma) with Cy5.
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Contributor(s) |
Bacac M, Provero P, Mayran N, Stehle J, Fusco C, Stamenkovic I |
Citation(s) |
17183660 |
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Submission date |
Sep 30, 2006 |
Last update date |
Jan 17, 2013 |
Contact name |
Paolo Provero |
E-mail(s) |
paolo.provero@unito.it
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Organization name |
University of Turin
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Department |
Molecular Biotechnology and Health Sciences
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Street address |
Via Nizza 52
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City |
Torino |
ZIP/Postal code |
I-10100 |
Country |
Italy |
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Platforms (1) |
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Samples (10)
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Relations |
BioProject |
PRJNA97397 |