RÉSUMÉ
The analysis of expression signatures is a powerful tool for the classification of cancer and other tissue samples. Several protocols and platforms are available on the market, and these lead to both confirmatory and complementary results. We review the main processing techniques for cross-platform comparisons and the different tissue sources for cancer profiling. Some examples and the cross-interpretation of bibliographic data related to prostate cancer are also presented.
Sujet(s)
Collecte de données/méthodes , Interprétation statistique de données , Analyse de profil d'expression de gènes/méthodes , Tumeurs de la prostate/traitement médicamenteux , Collecte de données/normes , Bases de données bibliographiques/normes , Humains , Mâle , Tumeurs de la prostate/génétique , ARN tumoral/analyse , Valeurs de référenceRÉSUMÉ
Programmed cell death, also known as apoptosis, is a normal physiologic process which occurs during embryonic development as well as in maintenance of tissue homeostasis. Increasing evidence suggests that alterations in cell death contribute to the pathogenesis of a number of human diseases, including cancer, viral infections, autoimmune diseases and acquired immunodeficiency syndrome (AIDS). The extraordinary research activity of the past few years has resulted in the characterization of the principal proteins involved in the apoptosis machinery. An area of particular interest has been the induction of apoptosis by two death receptor/ligand pairs, Fas/Fas Ligand and DR4-DR5/TRAIL. The identification of these molecules with the recruited signaling pathways could clarify their physiopathological implications, having a significant impact upon potential therapeutic interventions in diseases associated with cell survival alterations.