Linked Life Data

15759031

Source:http://linkedlifedata.com/resource/pubmed/id/15759031

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2005-4-26
pubmed:abstractText
Prognostic predictions in B-cell chronic lymphocytic leukemia (B-CLL) at early clinical stage are based on biological disease parameters, such as ZAP-70 and CD38 protein levels, genomic aberrations as well as immunoglobulin variable heavy chain gene (IgV(H)) mutation status. In the current study, ZAP-70 and CD38 expressions were examined by flow cytometry in 252 patients with B-CLL. Cytoplasmic ZAP-70 expression in more than 20% (ZAP-70(+)) and surface CD38 expression on more than 30% (CD38(+)) of B-CLL cells were associated with an unfavorable clinical course. The levels of ZAP-70 and CD38 did not change over time in the majority of patients where sequential samples were available for analysis. Combined analysis of ZAP-70 and CD38 yielded discordant results in 73 patients (29.0%), whereas 120 patients (47.6%) were concordantly negative and 59 patients (23.4%) were concordantly positive for ZAP-70 and CD38 expression. Median treatment-free survival times in patients whose leukemic cells were ZAP-70(+)CD38(+) was 30 months as compared to 130 months in patients with a ZAP-70(-)CD38(-) status. In patients with discordant ZAP-70/CD38 results, the median treatment-free survival time was 43 months. Thus, ZAP-70 and CD38 expression analyses provided complementary prognostic information identifying three patient subgroups with good, intermediate and poor prognosis. Over-representation of high-risk genomic aberrations such as 17p deletion or 11q deletion and distribution of the IgV(H) mutation status in B-CLL discordant for ZAP-70/CD38 pointed toward a distinct biologic background of the observed disease subgroups. This finding was also supported by microarray-based gene expression profiling in a subset of 35 patients. The expression of 37 genes differed significantly between the three groups defined by their expression of ZAP-70 and CD38, including genes that are involved in regulation of cell survival and chemotherapy resistance.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0887-6924
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
750-8
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed-meshheading:15759031-ADP-ribosyl Cyclase, pubmed-meshheading:15759031-Adult, pubmed-meshheading:15759031-Aged, pubmed-meshheading:15759031-Aged, 80 and over, pubmed-meshheading:15759031-Antigens, CD, pubmed-meshheading:15759031-Antigens, CD38, pubmed-meshheading:15759031-Chromosome Aberrations, pubmed-meshheading:15759031-Disease Progression, pubmed-meshheading:15759031-Female, pubmed-meshheading:15759031-Gene Expression Profiling, pubmed-meshheading:15759031-Gene Expression Regulation, Enzymologic, pubmed-meshheading:15759031-Gene Expression Regulation, Leukemic, pubmed-meshheading:15759031-Humans, pubmed-meshheading:15759031-Immunoglobulin Heavy Chains, pubmed-meshheading:15759031-In Situ Hybridization, Fluorescence, pubmed-meshheading:15759031-Leukemia, Lymphocytic, Chronic, B-Cell, pubmed-meshheading:15759031-Male, pubmed-meshheading:15759031-Membrane Glycoproteins, pubmed-meshheading:15759031-Middle Aged, pubmed-meshheading:15759031-Mutation, pubmed-meshheading:15759031-Oligonucleotide Array Sequence Analysis, pubmed-meshheading:15759031-Predictive Value of Tests, pubmed-meshheading:15759031-Protein-Tyrosine Kinases, pubmed-meshheading:15759031-Reproducibility of Results, pubmed-meshheading:15759031-Survival Analysis, pubmed-meshheading:15759031-ZAP-70 Protein-Tyrosine Kinase
pubmed:year
2005
pubmed:articleTitle
Combined analysis of ZAP-70 and CD38 expression as a predictor of disease progression in B-cell chronic lymphocytic leukemia.
pubmed:affiliation
Department of Hematology and Oncology, Georg-August-University Goettingen, Germany. jan.duerig@uni-essen.de
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't