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Paolo Ghia, M.D., Ph.D.
Instituto Scientifico San Raffaele (Italy) |
GENETICS
Dissecting CLL heterogeneity by proteomic analysis
Grant awarded in 2005
Abstract:
CLL researchers are working to define which patients should be treated, when
and how. It is important to look at the molecular differences of CLL which translates
into remarkable clinical differences. The presence of somatic mutations in the
immunoglobulin variable region (IGHV) genes and the expression of CD38 and ZAP-70
are examples that link biology to prognosis. We have used a proteomic approach
to establish the protein expression profile of CLL cells from different subsets
of patients.
We focused on the proteins involved in the transduction of signals delivered
by the stimulation of surface antigen receptors, as these proteins might be responsible
for a more persistent cell proliferation and/or prevention of apoptosis. We have
discovered that a discriminating molecule is hematopoietic-lineage-cell-specific
protein 1 (HS1), a protein pivotal in the signal cascade triggered by the B-cell-receptor
stimulation. In 40 CLL cases we found that patients with aggressive disease expressed
most HS1 protein in the phosphorylated form, while patients with stable disease
had most HS1 in the unphosphorylated form. These observations have led us to ask
three questions: 1) Can HS1 be used to build an integrated prognostic card for
individual CLL patients? 2) Can HS1 be targeted for therapeutic purposes? 3) Can
we detect other proteins that might become selective therapeutic targets?
To answer these questions we have devised the following experimental plan:
1) The prognostic significance of phosphorylated HS1 and its relationship with
other prognostic markers will be evaluated in a large cohort of patients
2) The possibility of therapeutically targeting the phosphorylated form of HS1
will be investigated to provide the basis for designing specific inhibitors.
3) As preliminary data show that other proteins are differentially expressed in
different CLL subsets, their expression pattern and functional role will be studied.
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