Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/25247
Title: Predictive markers in cancer patient diagnosis, classification and prediction of therapy outcome using leukaemia as a model
Authors: Grech, Godfrey
Baldacchino, Shawn
Saliba, Christian
Fenech, Anthony G.
Keywords: Protein-tyrosine kinase
Cancer -- Patients -- Treatment
Chronic myeloid leukemia
Acute myeloid leukemia
Issue Date: 2014
Publisher: Springer
Citation: Grech, G., Baldacchino, S., Saliba, C., & Fenech, A. (2013). Predictive markers in cancer patient diagnosis, classification and prediction of therapy outcome using leukaemia as a model. Conference: EPMA World Congress 2013. In The Epma Journal 2014, (5, Suppl. 1): A26.
Abstract: The characterisation of the molecular mechanism of disease allows classification of patients into subtypes and potentially identifies specific targets for therapeutic intervention. Tyrosine kinase mutations are central to specific targeted therapy. Investigation of kinase deregulation within particular patient groups, has led to identification of mutant tyrosine kinases associated with disease progression and therapy modulation. Biomarker-specific therapies emerged, taking a leading role in guided-therapy. The extensive use of the specific kinase inhibitors and the longevity of the treatment protocols due to the uncertainty of residual disease, gave rise to new challenges, namely secondary resistance to therapy. Although there are various mechanisms of acquired resistance, mutations in the drug target itself play a dominant role.
URI: https://www.um.edu.mt/library/oar//handle/123456789/25247
Appears in Collections:Scholarly Works - FacM&SPat



Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.