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Lipoprotein Lipase SNPs rs13702 and rs301 Correlate with Clinical Outcome in Chronic Lymphocytic Leukemia Patients
Authors:Ans Rombout  Basile Stamatopoulos  Laurence Lagneaux  Sofie Lust  Fritz Offner  Evelien Naessens  Hanne Vanderstraeten  Bruno Verhasselt  Jan Philippé
Institution:1Department of Clinical Chemistry, Microbiology and Immunology, Ghent University Hospital, Ghent University, Ghent, Belgium;2Laboratory of Clinical Therapy, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium;3Department of Hematology, Ghent University Hospital, Ghent University, Ghent, Belgium;Queen''s University Belfast, UNITED KINGDOM
Abstract:Chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world and is characterized by a heterogeneous clinical course. This variability in clinical course has spiked the search for prognostic markers able to predict patient evolution at the moment of diagnosis. Markers demonstrated to be of value are the mutation status of the immunoglobulin heavy chain variable region genes (IGHV) and lipoprotein lipase (LPL) expression. High LPL mRNA expression has been associated with short treatment free (TFS) and decreased overall survival (OS) in CLL. The LPL SNPs rs301 (T<C), rs328 (C<G) and rs13702 (T<C) have been associated with various metabolic disorders, but the association with CLL evolution is unknown. Here, in a cohort of 248 patients, we show that patients with the LPL SNP rs13702 wild-type T/T genotype had significantly shorter OS than patients with C/C and T/C genotypes (median time until CLL related death: 90 and 156 months respectively, p=0.008). The same was observed for LPL SNP rs301 (median time until CLL related death T/T: 102 and C/C, T/C: 144 months, p=0.03). Both SNPs rs301 and rs13702 were significantly associated with each other and notably, no association was found between IGHV status and presence of the SNP genotypes, indicating that these LPL SNPs are reliable prognostic markers that could add extra prognostic and predictive information to classical markers and help to improve the management of CLL.
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