Selectin-independent adhesion during ovarian cancer metastasis.

PURPOSE: Ovarian cancer (OvCa) progression mainly takes place by intraperitoneal spread. Adhesion of tumor cells to the mesothelial cells which form the inner surface of the peritoneum is a crucial step in this process. Cancer cells use in principle different molecules of the leukocyte adhesion cascade to facilitate adhesion. This cascade is initiated by selectin-ligand interactions followed by integrin - extracellular matrix protein interactions. Here we address the question whether all tumor cells predominantly employ selectin-dependent leukocyte-like adhesion cascade (SDAC) or whether they use integrin mediated adhesion for OvCa progression as well. METHODS: A comparative transcriptomic analysis of the human OvCa cell lines OVCAR8 and SKOV3 was performed. Intraperitoneal xenograft model of OVCAR8 cells was used to determine whether there is a correlation between SDAC gene expression and the metastatic potential of the control cells and the cells overexpressing c-Fos. Transcriptomic analysis of OVCAR8 and SKOV3 samples was performed using microarrays. RESULTS: One-third of the protein-coding genes involved in SDAC exhibited lower expression levels in OVCAR8 than in SKOV3 cells. In contrast to SKOV3 cells, c-Fos overexpression in OVCAR8 cells did not significantly influence the expression of SDAC genes. Intraperitoneal xenograft model of OVCAR8 cells unexpectedly demonstrated that the aggressiveness of OVCAR8 tumors was not depended on the c-Fos expression level and was comparable to that of SKOV3 control tumors. Gene expression analysis of tumors suggests that SKOV3-derived tumor progression was mainly depended on SDAC. Progression of OVCAR8 tumors relied on other cell adhesion molecules that do not interact with selectins. CONCLUSIONS: High expression of c-Fos in ovarian cancer cells is not always associated with reduced metastatic potential. Low expression level of SDAC genes may not ensure low OvCa metastatic potential hence alternative adhesion mechanisms involving laminin-integrin interactions exist as well.

The Transcriptome of Type I Murine Astrocytes under Interferon-Gamma Exposure and Remyelination Stimulus.

Astrocytes are considered to be an important contributor to central nervous system (CNS) disorders, particularly multiple sclerosis. The transcriptome of these cells is greatly affected by cytokines released by lymphocytes, penetrating the blood-brain barrier-in particular, the classical pro-inflammatory cytokine interferon-gamma (IFNγ). We report here the transcriptomal profiling of astrocytes treated using IFNγ and benztropine, a putative remyelinization agent. Our findings indicate that the expression of genes involved in antigen processing and presentation in astrocytes are significantly upregulated upon IFNγ exposure, emphasizing the critical role of this cytokine in the redirection of immune response towards self-antigens. Data reported herein support previous observations that the IFNγ-induced JAK-STAT signaling pathway may be regarded as a valuable target for pharmaceutical interventions.

miRNome of inflammatory breast cancer.

BACKGROUND: Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters. METHODS: miRNA expression profiles of 13 IBC and 17 non-IBC patients were characterized using comprehensive Affymetrix GeneChip miRNA 3.0 microarray platform. Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets. RESULTS: 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression. In addition, a minimal predictive set of 4 miRNAs characteristic for the IBC phenotype and associated with the TP53 mutational status in breast cancer patients was identified. CONCLUSIONS: We have characterized the complete miRNome of inflammatory breast cancer and found differentially expressed miRNAs which reliably classify the patients to IBC and non-IBC groups. We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression. Furthermore a minimal IBC-related predictive set of 4 miRNAs associated with the TP53 mutational status and survival for breast cancer patients was identified.