ABSTRACT
New logical and statistical methods were used for the analysis of relationships between survival rate of solid tumor patients and immunological variables. These methods are based on the search of the regularities (syndromes) in the multidimensional space. The syndromes are the elements of partitions of allowable areas of variables. To estimate the statistical validity of found regularities the new technique based on Monte-Carlo computer simulation was used. The broad panel of monoclonal antibodies for lymphocyte differentiation antigens was used for subpopulation analysis. The two tasks are described. The purpose of the first task was the evaluation of significance of immunological parameters for prediction of one-year metastasis-free survival in non-metastatic osteosarcoma of extremities. The second task was the construction of the predicting algorithm for prognosis of two-year survival of patients with stomach cancer. The optimal sets of parameters for prediction of survival were found for both tasks. We found out the high predictive value of HLA DR(+) cells percentage in the 1st task, and the percentage of adhesion cells (CD50(+) lymphocytes) is the most significant parameter in the 2nd task. The predictive algorithms were developed.
ABSTRACT
The immunological tests were performed for blood samples from 30 patients with Wilson's disease and 37 healthy patients. The processed data included conventional statistical analysis and computer programs, consisting of new pattern recognition methods - method of statistically weighted syndromes and that of detecting the informative conjunctions. In Wilson's disease group the significant alterations of parameters were determined: the decrease of T lymphocytes amount and CD4/CD8 ratio; the increase of circulating immune complexes and IgM levels; and B lymphocytes and NK amount. The methods of pattern recognition allowed to generate the rule to discriminate the cases from Wilson's disease and control groups with 87% effectiveness. The most frequently observed combinations of the altered parameters' values were revealed, and then the subgroups of Wilson's disease cases were considered. They were characterised by activation of the humoral immunity and/or depression of the cellular one. The heterogeneity of the immunity modifications may be the reflection of both genetic polymorphism and stages of the immunity violation. Some essential features of the immune status of patients with Wilson's disease are discussed.