Colon adenocarcinoma histological grading based on multivariable analysis of the status of tumor cell nuclear apparatus.

Abstract

The aim of the work: development of a model of histological grading of colon adenocarcinoma (AC) based on multivariable logistic regression analysis of the status of tumor cell nuclear apparatus. In the current study, biopsy material and material obtained during surgical treatment of patients with colon AC or benign colon neoplasms were analyzed using histological, morphometric, densitometric, immunohistochemical methods and mathematical modelling. To improve separation of tumors of adjacent grades different models with different coefficients and different set of parameters are required. Thus, the key parameters for classifying benign neoplasms from AC are: average DNA content, proportion of viable cancer cells, number of nucleolar organizers, proliferation index, and expression level of p53. The Model for separating AC G1 from G2 is characterized by a similar set of parameters and contains the average size of a nucleolar organizer regions as an additional parameter. The difference between AC G2 and G3 is more vague, and these histological types are distinguished by only two features, by Bcl-2 and p53 tumor expression level. The proposed model for grade estimating for patients with colon AC demonstrated good quality.