[Small Nucleolar RNAs and Long Non-Coding RNAs of the SNHG Family in the Pathogenesis of Ovarian Cancer].

The discovery of a class of long noncoding RNAs (lncRNAs), including lncRNAs of the small nucleolar RNA (snoRNA) host gene family, SNHG, has led to growing interest in the study of both snoRNAs themselves and the genes encoding them. Currently, of the 232 known snoRNA genes, only 32 have been confirmed to have lncRNAs. At the same time, a positive correlation has been shown between the expression of lncRNAs and snoRNAs encoded by a common host gene of the SNHG family. Thus, lncRNA of the SNHG1 gene correlates with snoRNAs SNORD22 and SNORD25-31, and lncRNA of the SNHG16 gene, with snoRNAs SNORD1A, SNORD1B, and SNORD1C. There is evidence that SNHG lncRNAs can participate in oncogenesis both through regulatory functions inherent to lncRNAs and by influencing ribosome biogenesis. At the same time, information has accumulated on the "extraribosomal" functions of snoRNAs. In addition to a brief excursion into the biological functions of snoRNAs and SNHG lncRNAs, we present a comprehensive review of data on the role of these two types of noncoding RNAs in the pathogenesis of ovarian cancer, the most insidious cancer of the female reproductive system. The influence of these regulatory RNAs on the main processes of ovarian oncogenesis, such as apoptosis, epithelial-mesenchymal transition, cell cycle control, and DNA methylation mechanisms in this type of cancer is considered. The prospects for clinical application of regulatory RNAs due to their influence on the level of drug resistance are also discussed.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-08-28
DOI
https://doi.org/10.31857/s0026898425030045,edn:pugshm
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Small Nucleolar RNAs and Long Non-Coding RNAs of the SNHG Family in the Pathogenesis of Ovarian Cancer].

Э. А. Брага, A. M. Burdennyy, В. И. Логинов, Mikhail Fridman et al.
PubMed
Cancer-related molecular mechanisms research
article

[Small Nucleolar RNAs and Long Non-Coding RNAs of the SNHG Family in the Pathogenesis of Ovarian Cancer].

Э. А. Брага, A. M. Burdennyy, В. И. Логинов, Mikhail Fridman, N. E. Kushlinskii
article en

Abstract

The discovery of a class of long noncoding RNAs (lncRNAs), including lncRNAs of the small nucleolar RNA (snoRNA) host gene family, SNHG, has led to growing interest in the study of both snoRNAs themselves and the genes encoding them. Currently, of the 232 known snoRNA genes, only 32 have been confirmed to have lncRNAs. At the same time, a positive correlation has been shown between the expression of lncRNAs and snoRNAs encoded by a common host gene of the SNHG family. Thus, lncRNA of the SNHG1 gene correlates with snoRNAs SNORD22 and SNORD25-31, and lncRNA of the SNHG16 gene, with snoRNAs SNORD1A, SNORD1B, and SNORD1C. There is evidence that SNHG lncRNAs can participate in oncogenesis both through regulatory functions inherent to lncRNAs and by influencing ribosome biogenesis. At the same time, information has accumulated on the "extraribosomal" functions of snoRNAs. In addition to a brief excursion into the biological functions of snoRNAs and SNHG lncRNAs, we present a comprehensive review of data on the role of these two types of noncoding RNAs in the pathogenesis of ovarian cancer, the most insidious cancer of the female reproductive system. The influence of these regulatory RNAs on the main processes of ovarian oncogenesis, such as apoptosis, epithelial-mesenchymal transition, cell cycle control, and DNA methylation mechanisms in this type of cancer is considered. The prospects for clinical application of regulatory RNAs due to their influence on the level of drug resistance are also discussed.

PubMedVol. 59(3)
Institute of Biochemical Physics NM Emanuel (RU), Vavilov Institute of General Genetics (RU)
Openalex Percentile: Top 71%
Cancer-related molecular mechanisms research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.