Blood, 1 June 2007, Vol. 109, No. 11, pp. 4973-4979.
Prepublished online as a Blood First Edition Paper on February 6, 2007; DOI 10.1182/blood-2006-11-054916.
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NEOPLASIA
CLLU1 expression analysis adds prognostic information to risk prediction in chronic lymphocytic leukemia
Pär Josefsson1,
Christian H. Geisler1,
Henrik Leffers2,
Jørgen H. Petersen2,4,
Mette K. Andersen3,
Jesper Jurlander1, and
Anne Mette Buhl1
1 The Leukemia Laboratory, Department of Hematology, Rigshospitalet and University of Copenhagen, Denmark;
2 University Department of Growth and Reproduction, Rigshospitalet and University of Copenhagen, Denmark;
3 Department of Clinical Genetics and
4 Department of Biostatistics, Rigshospitalet and University of Copenhagen, Denmark
We recently identified a disease-specific gene CLLU1 in chronic lymphocytic leukemia (CLL) and also demonstrated that high CLLU1 expression levels predict poor clinical outcome. To validate this finding, we measured CLLU1 mRNA expression levels by real-time reverse transcriptase–polymerase chain reaction (RT-PCR) in 175 patients with CLL. Analyses of IgVH mutational status, ZAP-70 expression, CD38 expression, and chromosomal aberrations were also performed. High levels of CLLU1 expression were associated with shorter overall survival (P < .001), with a 7% increase in risk of early death by each doubling of the CLLU1 expression level. Stratification for age at diagnosis demonstrated a strong prognostic significance of CLLU1 expression in patients younger than 70 years (P < .001), but not in patients aged 70 or older (P = .61). The prognostic significance of IgVH mutational status and ZAP-70 expression had a similar age-dependent variation. Multivariate analysis in the younger age group showed that CLLU1 expression analysis added further prognostic information within all prognostic subgroups, with the exception of patients with unmutated IgVH CLL. Only CLLU1 expression and IgVH mutational status had independent predictive power. Thus, analysis of CLLU1 expression is highly applicable in risk prediction in CLL for patients of an age eligible for risk stratification.

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