Correlation of clinical data with proteomics profiles in 24 patients with B-cell chronic lymphocytic leukemia

The development of human cancer is caused by complex molecular perturbation s leading to variable clinical behavior often even in single disease entiti es. To prove that expression profiling on the protein level can be correlat ed with clinical data we systematically compared in a pilot study the prote in expression patterns obtained by 2-dimensional gel electrophoresis with c linical features in human B-cell chronic lymphocytic leukemia (B-CLL), a di sease characterized by broad clinical variability. Statistical methods were devised to analyze the spot pattern from 24 patient samples. This analysis allowed the identification of proteins that clearly discriminated between the patient groups with defined chromosomal characteristics or whose expres sion levels did correlate with clinical parameters such as patient survival . This report demonstrates that the correlation of large-scale protein expr ession profiles with clinical data can be used to gain new insights into mo lecular aspects of a disease, The data described here show that B-CLL patie nt populations with shorter survival times exhibit changed levels of redox enzymes, heat shock protein 27 and protein disulfide isomerase. These molec ules may be potentially involved in drug resistance. (C) 2001 Wiley-Liss, I nc.