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Results of expression microarray analysis of tumor tissue from patients with colorectal cancer

https://doi.org/10.31146/1682-8658-ecg-227-7-68-74

Abstract

The aim of the study was to evaluate the expression profile and search for markers of progression in tumor tissue in colorectal cancer. Materials and Methods - Tumor tissue samples obtained from videocolonoscopy in patients with verified colorectal cancer served as the material for the study. A total of 37 specimens were involved in the study. Of these, there were 14 samples with a “favorable” prognosis and 23 with an “unfavorable” prognosis. The quality and quantity of ribonucleic acid in the eluted solution were evaluated using an IMPLEN nanospectrophotometer (Germany). A SurePrint G3 HumanGeneExpv3 ArrayKit microarray kit (Agilent, USA) was used to assess gene expression. Microarrays were scanned on an InnoScan 1100 AL (USA) with subsequent image processing using Mapix Software (USA). For the procedure of searching for differentially expressed genes, we used the Moderated t-statistics method, which is implemented in the limma package. Results - Based on the scatter plot, the most divergent genes in samples with and without progression were selected. The following markers were selected: Marker9 (GZMB), Marker5 (CXCL11), Marker3 (SYNE4), Marker20 (MIR4432HG), Marker19 (ZDHHC11), Marker11 (COL17A1), Marker13 (ZDHHC11B), Marker17 (AGR3). Low-expressing genes mainly affected DNA replication and cell cycle pathways, whereas high-expressing genes affected metabolic pathways. Conclusions - We found an association of long-term outcomes with the expression of the gene combination ZDHHC11, MIR4432HG, and GZMB. Further study of this gene combination and increased sampling will allow the construction of a test system for predicting the course and response to treatment of patients with colorectal cancer.

About the Authors

E. P. Kulikov
Ryazan State Medical University
Russian Federation


S. A. Mertsalov
Ryazan State Medical University
Russian Federation


V. V. Strel’Nikov
Scientific institution Medical Genetic Research Center named after Academican N. P. Bochkov
Russian Federation


A. I. Kalinkin
Scientific institution Medical Genetic Research Center named after Academican N. P. Bochkov
Russian Federation


E. I. Shumskaya
Ryazan State Medical University
Russian Federation


R. O. Piskunov
Ryazan State Medical University
Russian Federation


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Review

For citations:


Kulikov E.P., Mertsalov S.A., Strel’Nikov V.V., Kalinkin A.I., Shumskaya E.I., Piskunov R.O. Results of expression microarray analysis of tumor tissue from patients with colorectal cancer. Experimental and Clinical Gastroenterology. 2024;(7):68-74. (In Russ.) https://doi.org/10.31146/1682-8658-ecg-227-7-68-74

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