Purpose: In the current study, we examined the functional significance and mechanism of action of S100P in pancreatic cancer cells. Experimental Design: S100P levels were increased in Panc-1 cells, which do not express S100P, by transfection with an S100P cDNA and S100P levels were reduced in BxPC3 cells, which express high levels of S100P, by small interfering RNA gene silencing. Effects of these manipulations on cell proliferation, resistance to apoptotic insults, cell migration, and invasion were estimated in vitro using standard assays. The influences of S100P on tumor growth in vivo were studied using xenograft mouse models. To identify the mechanisms involved in these responses, coimmunoprecipitation studies were conducted with S100P with receptor for advanced glycation end products (RAGE) and the effects of inhibiting RAGE using an antagonistic peptide were analyzed. Results: S100P levels correlated with the rates of cell proliferation, survival, migration, and invasion in both cell models in vitro. In vivo, increased S100P levels increased the growth of tumors in mice with s.c.-implanted Panc-1 cells and decreased S100P levels decreased tumor growth after orthotopic implantation of BxPC-3 cells. A direct interaction between S100P and RAGE was indicated by coimmunoprecipitation of these molecules from pancreatic cancer cells. A RAGE antagonist peptide inhibited this interaction and also inhibited the biological effects of S100P on these cells in vitro. Conclusions: These data suggest that S100P plays a major role in the aggressiveness of pancreatic cancer that is likely mediated by its ability to activate RAGE. Thus, interference with S100P may provide a novel approach for treatment of pancreatic cancer.

Human chromosome 1p35-p36 has long been suspected to harbor a tumor suppressor gene in pancreatic cancer and other tumors. We found that expression of rap1GAP, a gene located in this chromosomal region, is significantly downregulated in pancreatic cancer. Only a small percentage of preneoplastic pancreatic intraductal neoplasia lesions lost rap1GAP expression, whereas loss of rap1GAP expression occurred in 60% of invasive pancreatic cancers, suggesting that rap1GAP contributes to pancreatic cancer progression. In vitro and in vivo studies showed that loss of rap1GAP promotes pancreatic cancer growth, survival, and invasion, and may function through modulation of integrin activity. Furthermore, we showed a high frequency of loss of heterozygosity of rap1GAP in pancreatic cancer. Collectively, our data identify rap1GAP as a putative tumor suppressor gene in pancreatic cancer. (Cancer Res 2006; 66(2): 898-906)

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Inflammatory breast cancer (IBC) is an aggressive disease for which the spectrum of preclinical models was rather limited in the past. More recently, novel cell lines and xenografts have been developed. This study evaluates the transcriptome of an extended series of IBC preclinical models and performed a comparative analysis with patient samples to determine the extent to which the current models recapitulate the molecular characteristics of IBC observed clinically. We demonstrate that the IBC preclinical models are exclusively estrogen receptor (ER)-negative and of the basal-like subtype, which reflects to some extent the predominance of these subtypes in patient samples. The IBC-specific 79-signature we previously reported was retrained and discriminated between IBC and non-IBC preclinical models, but with a relatively high rate of false positive predictions. Further analyses of gene expression profiles revealed important roles for cell proliferation, MYC transcriptional activity, and TNFɑ/NFκB in the biology of IBC. Patterns of MYC expression and transcriptional activity were further explored in patient samples, which revealed interactions with ESR1 expression that are contrasting in IBC and nIBC and notable given the comparatively poor outcomes of ER+ IBC. Our analyses also suggest important roles for NMYC, MXD3, MAX, and MLX in shaping MYC signaling in IBC. Overall, we demonstrate that the IBC preclinical models can be used to unravel cancer cell intrinsic molecular features, and thus constitute valuable research tools. Nevertheless, the current lack of ER-positive IBC models remains a major hurdle, particularly since interactions with the ER pathway appear to be relevant for IBC.

Inflammatory breast cancer (IBC) is a unique breast cancer with a highly virulent course and low 5-and 10-year survival rates. Although IBC only accounts for 1-5% of breast cancers it is estimated to account for 10% of breast cancer deaths annually in the United States. The accuracy of diagnosis and classification of this unique cancer is a major concern within the medical community. Multimodality treatment includes preoperative chemotherapy, mastectomy, and radiation therapy is the therapeutic mainstay and has been shown to improve prognosis. The potential for inaccurate diagnosis and misclassification in cases of IBC is increased by many factors. This includes the misleading initial symptoms of IBC. The early signs of IBC will present in women who have inflammation of the skin of the affected breast, as well as red or purple coloration of the inflamed area. Molecular studies have shown unique signature genes that are hallmarks of IBC. The current article reviews multiple aspects of primary inflammatory breast cancer.