This study represents an extension of our statistical studies of age-adjusted incidence rates (AAIRs) of 19 neoplasias from 47 population units of the world.
We have invented 2 data manipulation methods (topological data conversion and sequential regression analysis method) to estimate separately the intensities of each oncogene activation and tumor suppressor gene inactivation of a given tumor (marker tumor) relative to a counterpart tumor (reference tumor) in terms of r seq value.
This study prepared the r seq table of all permutations of tumor pairs for each of the 2 cancer genes and for each sex first, and then investigated the relation between the r seq profile of oncogene activation and that of tumor suppressor gene inactivation for each tumor.
A profile containing 16 (male) or 17 (female) r seq data was prepared for each tumor pair, for each cancer gene, and for each sex.
The extent of similarity between 2 r seq profiles was assessed by the 1st order regression analysis in terms of the correlation coefficient r value.
Results obtained are given as follows :
A) The proportions of both the tumor pairs with r seq values of less than - 0.90 in the oncogene activation tables of two sexes and those with r seq values of more than+0.90 in the tumor suppressor gene inactivation tables of the two sexes were all more than 50%. (...)
Mots-clés Pascal : Gène suppresseur tumeur, Gène onc, Gène onc cellulaire, Analyse régression, Analyse statistique, Etude statistique, Monde, Epidémiologie, Homme, Biologie moléculaire, Inactivation, Activation, Génétique
Mots-clés Pascal anglais : Tumor suppressor gene, Onc gene, C-Onc gene, Regression analysis, Statistical analysis, Statistical study, World, Epidemiology, Human, Molecular biology, Inactivation, Activation, Genetics
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0223745
Code Inist : 002B30A01A2. Création : 11/09/1998.