Expression level of lipoprotein lipase and dystrophin genes predict survival in B-cell chronic lymphocytic leukemia.

Mutational status of immunoglobulin variable region genes (VH-genes) is known as the strongest predictor of long term prognosis in B-CLL. However, applications in the routine clinical practice are time consuming, and therefore some other predictions are required. In this study, we have compared prognostic values of real time PCR quantification of the expression levels of four genes previously shown to be differentially expressed in V(H)-unmutated and mutated B-CLL subtypes: ZAP-70, ZBTB20, DMD and LPL. The study included 134 B-CLL patients. Expression levels of LPL and DMD genes were significantly correlated to mutational status, while expression levels of of ZAP-70 gene correlated only in CD19+ selected cases (N = 40). No correlation was observed for ZBTB20 gene. Expression levels of LPL and DMD predicted overall survival in the entire cohort of patients. Prognostic values of LPL gene expression levels were significant even for CLL patients with stage A. Quantitative RT-PCR assays for measuring LPL gene expression are robust enough to be introduced into routine clinical practice.

[DNA methylation profiling in cancer: from single nucleotides towards methylome].

Genomic DNA methylation pattern (methylome) represents epigenetic program of a cell. It controls expression of genetic information. In tumor cells, significant alterations in DNA methylation take place, which can be identified as one of the earliest and most consistent features of tumorigenesis. Detailed survey of methylcytosines' distribution in genome is extremely important for understanding of real tumor etiology and early diagnostics. Progress in the field has been hampered by the unavailability of methods for large-scale determination of methylation patterns. Nowadays, variety of techniques is in development that allow for highly parallel regime of samples analysis (high-throughput analysis) or large loci DNA profiling (large-scale analysis). Aim of the work is to consider the main trends in the field of new methods development. The principles of the most frequently used approaches to DNA methylation studies are reviewed as well as their application and results. Most attention is paid to DNA microarrays as a technology of choice for epigenetic tumor analysis (oligonucleotide microarrays, BAC-arrays etc.). Alternative DNA sequencing based techniques are discussed, which can soon take on the leadership. Results of a large-scale analysis can be used for identification of new epigenetic markers and epigenetic classification of neoplasia.