Studies of gene expression profiling have been successfully used for the identification of
molecules to be employed as potential prognosticators. In analogy with gene expression
profiling, we have previously proposed an original method to identify the immunophenotypic
signature of chronic lymphocytic leukemia (CLL) subsets with different prognosis, named
surface-antigen expression profiling. According to this method, expression data for surface
markers can be successfully analyzed by data mining tools identical to those employed in …