Publications by authors named "G V Gerashchenko"

Unlabelled: The study aimed to identify the clinically relevant gene variants in colon adenocarcinoma samples of Ukrainian patients using the NGS Comprehensive Cancer Panel (CCP) to implement them conveniently in clinical practice.

Methods: We have studied 20 samples of Ukrainian patients with colorectal adenocarcinomas of various differentiation grades. To identify the clinically relevant gene variants, the CCP data were filtered using the Franklin by Genoox database.

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CYP-dependent metabolites play a critical role in regulating the cell cycle, as well as the proliferative, invasive, and migratory activity of cancer cells. We conducted a study to analyze the relative gene expression of various () in 41 pairs of prostate samples (tumor and conventional normal tissues) using qPCR. Our analysis determined significant individual variability in the expression levels of all studied both in the tumor and in conventionally normal groups.

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Article Synopsis
  • The study aimed to identify and analyze the variants of SARS-CoV-2 in COVID-19 patients from different regions of Ukraine, focusing on the relationship between virus genetics and COVID-19 spread.
  • Samples were collected from 401 patients during 2021-2022, and whole genome sequencing was used for genotyping SARS-CoV-2 variants.
  • Results revealed three main variants (Alpha, Delta, and Omicron) across three pandemic waves, each with distinct genetic changes and epidemiological patterns, indicating effective anti-epidemic measures in Ukraine despite low vaccination rates.
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DNA hypermethylation and mutations are key mechanisms for the downregulation of tumor suppressor genes. NotI-microarrays allowed us to detect hypermethylation and/or deletions in 180 NotI sites associated with 188 genes of human chromosome 3, in 24 paired (tumor/normal) colon samples. The most frequent aberrations (in more than 20% of tumor samples) were detected in the promoter regions of 20 genes.

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Aim: To assess relative expression (RE) levels of CAF-, TAM-specific, immune defense-associated genes in prostate tumors and to show correlation of RE with clinical, pathological and molecular characteristics, with the aim to define clinically significant specific alterations in a gene expression pattern.

Methods: RE of 23 genes was analyzed by a quantitative polymerase chain reaction in 37 freshly frozen samples of prostate cancer tissues of a different Gleason score (GS) and at various tumor stages, compared with RE in 37 paired conventionally normal prostate tissue (CNT) samples and 20 samples of prostate adenomas.

Results: Differences in RE were shown for 11 genes out of 23 studied, when tumor samples were compared with corresponding CNTs.

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