Pharmaceutical Sciences Faculty Publications
Parallel Analysis of Transcript and Translation Profiles: Identification of Metastasis-Related Signal Pathways Differentially Regulated by Drug and Genetic Modifications
Document Type
Article
Publication Date
7-1-2006
Journal Title
Journal of Proteome Research
ISSN
1535-3893
Volume
5
Issue
7
First Page
1555
Last Page
1567
DOI
10.1021/pr0504283
PubMed ID
16823962
PubMed Central® ID
PMC1501083
Abstract
Tumor metastasis is a complex multistep process normally involving dysregulation of multiple signal transduction pathways. In this study, we developed a novel approach to efficiently define dysreguated pathways associated with metastasis by comparing global gene and protein expressions of two distinct metastasis-suppressed models. Consequently, we identified common features shared by the two models which are potentially associated with metastasis. The efficiency of metastasis from the highly aggressive polyoma middle T-induced mouse mammary tumors was suppressed by either prolonged caffeine exposure or by breeding the animal to a low metastatic mouse strain. Molecular profiles of the primary tumors from both metastasis-suppressed classes were then derived to identify molecules and pathways that might underlie a common mechanism of metastasis. A number of differentially regulated genes and proteins were identified, including genes encoding basement membrane components, which were inversely related to metastatic efficiency. In addition, the analysis revealed that the Stat signal transduction pathways were potentially associated with metastasis inhibition, as demonstrated by enhanced Stat1 activation, and decreased Stat5 phosphorylation in both genetic and pharmacological modification models. Tumor cells of low-metastatic genotypes also demonstrated anti-apoptotic properties. The common changes of these pathways in all of the metastasis-suppressed systems suggest that they may be critical components in the metastatic cascade, at least in this model system. Our data demonstrate that analysis of common changes in genes and proteins in a metastatic-related context greatly decrease the complexity of data analysis, and may serve as a screening tool to identify biological important factors from large scale data.
Keywords
Animals, caffeine, central nervous system stimulants, crosses, genetic, gene expression regulation, neoplastic, mammary neoplasms, experimental, mammary tumor virus, transgenic, biological, signal transduction
Recommended Citation
Yang, Haiyan; Yu, Li-Rong; Yi, Ming; Lucas, David A.; Lukes, Luanne; Lancaster, Mindy; Chan, King C.; Issaq, Haleem J.; Stephens, Robert M.; Veenstra, Timothy D.; and et al, "Parallel Analysis of Transcript and Translation Profiles: Identification of Metastasis-Related Signal Pathways Differentially Regulated by Drug and Genetic Modifications" (2006). Pharmaceutical Sciences Faculty Publications. 395.
https://digitalcommons.cedarville.edu/pharmaceutical_sciences_publications/395