3 years ago

Study of the possibility of the simple immunohistochemical cytocolorimetric assay application for a more accurate assessment of the prognosis of patients with pituitary adenomas

Pavel V. Nikitin, Marina V. Ryzhova, Lyudmila V. Shishkina, Svetlana V. Shugay, Irina V. Zubova

Publication date: Available online 9 November 2018

Source: World Neurosurgery

Author(s): Pavel V. Nikitin, Marina V. Ryzhova, Lyudmila V. Shishkina, Svetlana V. Shugay, Irina V. Zubova


Immunohistochemistry is one of the basic diagnostic techniques. Nevertheless, immunohistochemical examination results reflect mainly qualitative and less quantitative characteristics of cells proteomic status. Combined approach with the complex quantitative evaluation of markers expression using colorimetric analysis and computer technologies can expand the diagnostic capabilities of technique. We have studied such an approach developed by using the example of the proliferative marker Ki-67 expression in the pituitary adenomas.


We carried out retrospective, blind, randomized, comparative study of the Ki-67 expression activity in pituitary adenomas using the traditional Ki-67 labeling index (LI) and the simple immunohistochemical cytocolorimetric analysis developed by us with the immunohistochemical cytocolorimetric index (ICI) estimation as predictors of relapse, assessing the relationships of these indicators with the time before relapse.


It was found that in relapse-free group mean Ki-67 LI was 3.87±0.29%, while in relapse group – 4.01±0.29, the differences were not statistically significant. The average Ki-67 ICI in the relapse-free group was 24.16±0.51%, while Ki-67 ICI in relapse group was 30.68±0.64%, the differences were statistically significant. Correlation coefficient of ICI values ​​and time before relapse was -0.302, indicating the presence of a weak negative correlation.


In this research, we successfully tested ICI estimation method developed by us to assess the Ki-67 expression in pituitary adenomas. ICI technique can be used both as prognostic factor for relapse, and, in combination with other modern proteomic and genetic methods, as the basement for creation of new multimodal analyzing system for cells and tissues functional state assessment.

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