3 research outputs found
Predictive markers in cancer patient diagnosis, classification and prediction of therapy outcome using leukaemia as a model
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.peer-reviewe