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Updated: May 2, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
Published on: October 19, 2014
Clinical application of targeted and genome-wide technologies: can we predict treatment responses in chronic
Reem Alsolami1, Samantha Jl Knight2, Anna Schuh3
1Oxford National Institute for Health Research Biomedical Research Centre, University of Oxford, Oxford, UK ; King Abdulaziz University, Faculty of Applied Medical Sciences, Jeddah, Saudi Arabia.
Abstract:
Chronic lymphocytic leukemia (CLL) is low-grade lymphoma of mature B cells and it is considered to be the most common type of hematological malignancy in the western world. CLL is characterized by a chronically relapsing course and clinical and biological heterogeneity. Many patients do not require any treatment for years. Although important progress has been made in the treatment of CLL, none of the conventional treatment options are curative. Recurrent chromosomal abnormalities have been identified and are associated with prognosis and pathogenesis of the disease. More recently, unbiased genome-wide technologies have identified multiple additional recurrent aberrations. The precise predictive value of these has not been established, but it is likely that the genetic heterogeneity observed at least partly reflects the clinical variability. The present article reviews our current knowledge of predictive markers in CLL using whole-genome technologies.
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