Surface-antigen expression profiling of B cell chronic lymphocytic leukemia: from the signature of specific disease subsets to the identification of markers with prognostic relevance

Journal of Translational Medicine
Antonella ZucchettoValter Gattei

Abstract

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 recently proposed a novel method to identify the immunophenotypic signature of B-cell chronic lymphocytic leukemia subsets with different prognosis, named surface-antigen expression profiling. According to this approach, surface marker expression data can be analysed by data mining tools identical to those employed in gene expression profiling studies, including unsupervised and supervised algorithms, with the aim of identifying the immunophenotypic signature of B-cell chronic lymphocytic leukemia subsets with different prognosis. Here we provide an overview of the overall strategy employed for the development of such an "outcome class-predictor" based on surface-antigen expression signatures. In addition, we will also discuss how to transfer the obtained information into the routine clinical practice by providing a flow-chart indicating how to select the most relevant antigens and build-up a prognostic scoring system by weighing each antigen according to its predictive power. Although referred to B-cell chronic lymphocytic leukemia, ...Continue Reading

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Citations

Dec 3, 2013·Leukemia & Lymphoma·Pauline Y HuangRichard I Christopherson
Oct 26, 2011·Leukemia & Lymphoma·Pauline Y HuangRichard I Christopherson
May 28, 2010·Journal of Cellular Physiology·Jose Diaz-RomeroPierre Mainil-Varlet

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Methods Mentioned

BETA
flow cytometry

Software Mentioned

PAM
GEP
PAM ( prediction analysis for microarray )
Cluster
TreeView

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