The aim of this work is the identification of adjuvant molecules that can be associated to an oncoantigen-driven vaccination. By microarray analysis and data mining we have identified a set of drugs targeting genes that are associated to breast cancer stem cells (CSC): Atorvastatin, Bumetanide, Radafaxine, ICA 17043, YSL. In vitro characterization of one of these drugs, Atorvastatin. showed its ability to impair mammosphere formation, which is a peculiarity of normal and cancer stem cells. A mathematical model to simulate the effect of the combination of adjuvant and vaccination was designed and parameters defined on the basis of ErbB2-driven vaccination and Atorvastatin activity on CSC. The model suggests that reduction and halting of tumor mass increment can be reached by combining the effect of ErbB2 vaccination and 5 uM Atorvastatin as adjuvant.

Cancer Stem Cell based adjuvant for oncoantingen-driven vaccination

CORDERO, Francesca;FORNARI, CHIARA;CAVALLO, Federica;LANZARDO, Stefania;CONTI, Laura;MANINI, DANIELE;ARIGONI, MADDALENA;BALBO, Gianfranco;CALOGERO, Raffaele Adolfo
2011

Abstract

The aim of this work is the identification of adjuvant molecules that can be associated to an oncoantigen-driven vaccination. By microarray analysis and data mining we have identified a set of drugs targeting genes that are associated to breast cancer stem cells (CSC): Atorvastatin, Bumetanide, Radafaxine, ICA 17043, YSL. In vitro characterization of one of these drugs, Atorvastatin. showed its ability to impair mammosphere formation, which is a peculiarity of normal and cancer stem cells. A mathematical model to simulate the effect of the combination of adjuvant and vaccination was designed and parameters defined on the basis of ErbB2-driven vaccination and Atorvastatin activity on CSC. The model suggests that reduction and halting of tumor mass increment can be reached by combining the effect of ErbB2 vaccination and 5 uM Atorvastatin as adjuvant.
BCB’ 11: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine
Chicago
1-3 Agosto 2011
ACM Special Interest Group in Bioinformatics, Computational Biology, Biomedical Informatics
ACM SIGBioinformatics
1
15
9781450307963
F. Cordero; C. Fornari; F. Cavallo; S. Lanzardo; L. Conti; D. Manini; M. Arigoni; G. Balbo; R.A. Calogero
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/132574
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