Although it is increasingly evident that cancer is influenced by signals emanating from tumor stroma, little is known regarding how changes in stromal gene expression affect epithelial tumor progression. We used laser capture microdissection to compare gene expression profiles of tumor stroma from 53 primary breast tumors and derived signatures strongly associated with clinical outcome. We present a new stroma-derived prognostic predictor (SDPP) that stratifies disease outcome independently of standard clinical prognostic factors and published expression-based predictors. The SDPP predicts outcome in several published whole tumor-derived expression data sets, identifies poor-outcome individuals from multiple clinical subtypes, including lymph node-negative tumors, and shows increased accuracy with respect to previously published predictors, especially for HER2-positive tumors. Prognostic power increases substantially when the predictor is combined with existing outcome predictors. Genes represented in the SDPP reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression.

The Listeria monocytogenes surface protein InlB promotes bacterial entry into mammalian cells. Here, we identify a cellular surface receptor required for InlB-mediated entry. Treatment of mammalian cells with InlB protein or infection with L. monocytogenes induces rapid tyrosine phosphorylation of Met, a receptor tyrosine kinase (RTK) for which the only known ligand is Hepatocyte Growth Factor (HGF). Like HGF, InlB binds to the extracellular domain of Met and induces "scattering" of epithelial cells. Experiments with Met-positive and Met-deficient cell lines demonstrate that Met is required for InlB-dependent entry of L. monocytogenes. InlB is a novel Met agonist that induces bacterial entry through exploitation of a host RTK pathway.