PMID: 9427785Jan 15, 1998Paper

Topological evidence of differential oncogene activation-tumor suppressor gene inactivation features in 10 human neoplasias, as revealed by sequential regression analysis of world cancer incidence data

Anticancer Research
M KodamaT Kodama

Abstract

Recent progress in the molecular biology of cancer research indicates that oncogene activation and tumor suppressor gene inactivation are the two key events in the carcinogenesis of humans as well as of animals. The purpose of this investigation was to assess separately the impact of oncogene activation and tumor suppressor gene inactivation on the genesis of a given neoplasia using the log-transformed age-adjusted incidence rates (log AAIRs) data from 47 cancer registration areas world wide. In practice, the sequential regression analysis test was applied to each of 15 (male) or 16 (female) tumor pairs, in which the neoplasia in question (marker tumor) was designated as the common x partner in the calculation of the 1st order regression equation. The correlation coefficient of the sequential regression analysis, r seq, served as an index of fitness to the equilibrium models of both oncogene activation and tumor suppressor gene inactivation, in which the expected values of r seq for sole oncogene activation and sole tumor suppressor gene inactivation were each -1.00 and +1.00. The calculation results with the sequential regression analysis were given as the profile of 15 (male) or 16 (female) r seq data for each marker tumor. T...Continue Reading

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