Abstract | BACKGROUND: DESIGN AND METHODS: Receiver operating characteristics (ROC) analysis and multivariate general linear models (GLMs) were used to investigate the most significant cut-off values of these biomarkers and their prognostic impact. RESULTS: Our findings estimated that the optimal cut-off for IgVh mutation status and for ZAP-70 protein expression was 97% and 16.5% respectively and a high concordance between the two was demonstrated. We identified 30% as being the best-cut-off for 17p-, 11q- and 6q-. In univariate analysis 17p- was found to be a significant predictor of the event only for the whole population. Multivariate analysis including all biological parameters, identified 11q deletion as the only significant regressor. CONCLUSIONS: We assessed that IgVh mutational status, ZAP-70 protein and 6q- are powerful prognostic markers. Analyses of all these factors revealed that 11q deletion was the strongest predictor of disease progression in B-CLL.
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Authors | Alessandra Trojani, Marco Montillo, Michele Nichelatti, Alessandra Tedeschi, Chiara Colombo, Silvio Veronese, Maria Angela Mura, Francesca Ricci, Barbara Scarpati, Anna Colosimo, Milena Lodola, Enrica Morra |
Journal | Cancer biomarkers : section A of Disease markers
(Cancer Biomark)
Vol. 6
Issue 1
Pg. 1-9
( 2010)
ISSN: 1875-8592 [Electronic] Netherlands |
PMID | 20164537
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Biomarkers, Tumor
- Immunoglobulin Heavy Chains
- Immunoglobulin Variable Region
- ZAP-70 Protein-Tyrosine Kinase
- ZAP70 protein, human
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Topics |
- Adult
- Aged
- Area Under Curve
- Biomarkers, Tumor
(analysis)
- Cell Separation
- Cytogenetics
(methods)
- Female
- Flow Cytometry
- Gene Deletion
- Humans
- Immunoglobulin Heavy Chains
(genetics)
- Immunoglobulin Variable Region
(genetics)
- In Situ Hybridization, Fluorescence
- Leukemia, Lymphocytic, Chronic, B-Cell
(genetics, pathology)
- Male
- Middle Aged
- Mutation
- Prognosis
- ROC Curve
- Sensitivity and Specificity
- ZAP-70 Protein-Tyrosine Kinase
(biosynthesis)
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