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Gene expression profiling identifies ARSD as a new marker of disease progression and the sphingolipid metabolism as a potential novel metabolism in chronic lymphocytic leukemia.
- Source :
-
Cancer biomarkers : section A of Disease markers [Cancer Biomark] 2011-2012; Vol. 11 (1), pp. 15-28. - Publication Year :
- 2011
-
Abstract
- Background: Several studies demonstrated IGVH mutational status and ZAP70 expression as the most relevant prognostic markers in Chronic Lymphocytic Leukemia (CLL), suggesting the separation of two patient subgroups: with good mutated ZAP70 negative (MTZAP70(-) and poor unmutated ZAP70 positive (UMZAP70(+)) prognosis.<br />Design and Methods: We determined the gene expression of B cells in 112 CLL patients divided into three classes: class 1 with MTZAP70(-), class 2 with UMZAP70(+), and class 3 included both UMZAP70(-) and MTZAP70(+).<br />Results: We found LPL, AGPAT2, MBOAT1, CHPT1, AGPAT4, PLD1 genes encoding enzymes involved in lipid metabolism overexpressed in UMZAP70(+). In addition, this study identified ARSD, a gene belonging to the sphingolipid metabolism, as a new gene significantly overexpressed in UMZAP70(+) compared to MTZAP70(-). Western blots confirmed that ARSD protein levels were significantly different between the 3 classes of patients and normal controls. Statistical analysis identified a significant correlation between ARSD and IGVH; however, both ARSD protein level and IGVH were independently associated with the need for therapy of CLL patients.<br />Conclusions: ARSD is a novel prognostic factor as the time to start therapy is shorter in patients with high levels of ARSD protein and sphingolipid metabolism could represent a new biological mechanism in CLL.
- Subjects :
- Adult
Aged
Arylsulfatases metabolism
Biomarkers, Tumor metabolism
Cluster Analysis
Disease Progression
Female
Genes
Humans
Immunoglobulin Heavy Chains genetics
Kaplan-Meier Estimate
Leukemia, Lymphocytic, Chronic, B-Cell mortality
Leukemia, Lymphocytic, Chronic, B-Cell pathology
Logistic Models
Male
Middle Aged
Multivariate Analysis
Oligonucleotide Array Sequence Analysis
Prognosis
Proportional Hazards Models
Transcriptome
ZAP-70 Protein-Tyrosine Kinase genetics
Arylsulfatases genetics
Biomarkers, Tumor genetics
Leukemia, Lymphocytic, Chronic, B-Cell enzymology
Sphingolipids metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1875-8592
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cancer biomarkers : section A of Disease markers
- Publication Type :
- Academic Journal
- Accession number :
- 22820137
- Full Text :
- https://doi.org/10.3233/CBM-2012-0259