Unlabelled: This retrospective analysis was designed to confirm the predictive role of urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor type I (PAI-1) in the outcome of early stage, node-negative breast cancer patients.
Patients And Methods: Node-negative patients having not received adjuvant chemotherapy, and for whom frozen samples were available, were selected.
Results: Among the 169 patients included, 56.
Hepatic and lung metastases are the leading causes of mortality and major indicators of aggressiveness in colorectal cancer. The underlying molecular mechanisms contributing to the development of metastasis are still unclear. Here, we designed a novel approach to explore gene expression profiles associated with metastasis in human colorectal cancer (hCRC).
View Article and Find Full Text PDFAnn Pharm Fr
September 2005
Proteasome-mediated proteolysis is a mechanism for mediating important regulatory proteins within the cell. Proteins that have been targeted for degradation by the proteasome are convalently tagged with a poly-ubiquitin protein chain prior to be recognized by the 19S subunit of proteasome. This degradation system controls the expression of a wide variety of cellular targets including tumor suppressors such as p53, inhibitor of nuclear factor NFkappaB, cyclin-dependent kinase inhibitors such as p21 and p27.
View Article and Find Full Text PDFMucin O-glycosylation is characterized in cancer by aberrant expression of immature carbohydrate structures (Tn, T, and sialyl-Tn antigens). The UDP-N-acetyl-D-galactosamine: polypeptide N-acetylgalactosaminyltransferases (ppGalNAc-T) family enzymes regulate the initial steps of mucin O-glycosylation and could be responsible for the altered glycosylation observed in cancer. Considering that we recently found the ppGalNAc-T6 mRNA expressed in breast carcinomas, we produced a highly specific monoclonal antibody (MAb T6.
View Article and Find Full Text PDFCompletion of the working draft of the human genome has made it possible to analyze the expression of genes according to their position on the chromosomes. Here, we used a transcriptome data analysis approach involving for each gene the calculation of the correlation between its expression profile and those of its neighbors. We used the U133 Affymetrix transcriptome data set for a series of 130 invasive ductal breast carcinomas to construct chromosomal maps of gene expression correlation (transcriptome correlation map).
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