Ten Hypermethylated lncRNA Genes Are Specifically Involved in the Initiation, Progression, and Lymphatic and Peritoneal Metastasis of Epithelial Ovarian Cancer

<b></b> Our work aimed to evaluate and differentiate the role of ten lncRNA genes (<i>GAS5</i>, <i>HAND2-AS1</i>, <i>KCNK15-AS1</i>, <i>MAGI2-AS3</i>, <i>MEG3</i>, <i>SEMA3B-AS1</i>, <i>SNHG6</i>, <i>SSTR5-AS1</i>, <i>ZEB1-AS1</i>, and <i>ZNF667-AS1</i>) in the development and progression of epithelial ovarian cancer (EOC). A representative set of clinical samples was used: 140 primary tumors from patients without and with metastases and 59 peritoneal metastases. Using MS-qPCR, we demonstrated an increase in methylation levels of all ten lncRNA genes in tumors compared to normal tissues (<i>p</i> < 0.001). Using RT-qPCR, we showed downregulation and an inverse relationship between methylation and expression levels for ten lncRNAs (<i>r<sub>s</sub></i> < -0.5). We further identified lncRNA genes that were specifically hypermethylated in tumors from patients with metastases to lymph nodes (<i>HAND2-AS1</i>), peritoneum (<i>KCNK15-AS1</i>, <i>MEG3</i>, and <i>SEMA3B-AS1</i>), and greater omentum (<i>MEG3</i>, <i>SEMA3B-AS1</i>, and <i>ZNF667-AS1</i>). The same four lncRNA genes involved in peritoneal spread were associated with clinical stage and tumor extent (<i>p</i> < 0.001). Interestingly, we found a reversion from increase to decrease in the hypermethylation level of five metastasis-related lncRNA genes (<i>MEG3</i>, <i>SEMA3B-AS1</i>, <i>SSTR5-AS1</i>, <i>ZEB1-AS1</i>, and <i>ZNF667-AS1</i>) in 59 peritoneal metastases. This reversion may be associated with partial epithelial-mesenchymal transition (EMT) in metastatic cells, as indicated by a decrease in the level of the EMT marker, CDH1 mRNA (<i>p</i> < 0.01). Furthermore, novel mRNA targets and regulated miRNAs were predicted for a number of the studied lncRNAs using the NCBI GEO datasets and analyzed by RT-qPCR and transfection of SKOV3 and OVCAR3 cells. In addition, hypermethylation of <i>SEMA3B-AS1</i>, <i>SSTR5-AS1</i>, and <i>ZNF667-AS1</i> genes was proposed as a marker for overall survival in patients with EOC.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-11-04
DOI
https://doi.org/10.3390/ijms252111843
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ten Hypermethylated lncRNA Genes Are Specifically Involved in the Initiation, Progression, and Lymphatic and Peritoneal Metastasis of Epithelial Ovarian Cancer

Е. А. Филиппова, Э. А. Брага, A. M. Burdennyy, В. И. Логинов et al.
3 citations
International Journal of Molecular Sciences
Cancer-related molecular mechanisms research
0.86
article

Ten Hypermethylated lncRNA Genes Are Specifically Involved in the Initiation, Progression, and Lymphatic and Peritoneal Metastasis of Epithelial Ovarian Cancer

Е. А. Филиппова, Э. А. Брага, A. M. Burdennyy, В. И. Логинов, С. С. Лукина, Л. А. Урошлев, Danila M. Zaichenko, Н. Е. Кушлинский, Alexey A. Dmitriev, И. В. Пронина, М. В. Фридман, Iana R. Astafeva, Aleksey A. Moskovtsev, T. P. Kazubskaya
article en
3 citations

Abstract

<b></b> Our work aimed to evaluate and differentiate the role of ten lncRNA genes (<i>GAS5</i>, <i>HAND2-AS1</i>, <i>KCNK15-AS1</i>, <i>MAGI2-AS3</i>, <i>MEG3</i>, <i>SEMA3B-AS1</i>, <i>SNHG6</i>, <i>SSTR5-AS1</i>, <i>ZEB1-AS1</i>, and <i>ZNF667-AS1</i>) in the development and progression of epithelial ovarian cancer (EOC). A representative set of clinical samples was used: 140 primary tumors from patients without and with metastases and 59 peritoneal metastases. Using MS-qPCR, we demonstrated an increase in methylation levels of all ten lncRNA genes in tumors compared to normal tissues (<i>p</i> < 0.001). Using RT-qPCR, we showed downregulation and an inverse relationship between methylation and expression levels for ten lncRNAs (<i>r<sub>s</sub></i> < -0.5). We further identified lncRNA genes that were specifically hypermethylated in tumors from patients with metastases to lymph nodes (<i>HAND2-AS1</i>), peritoneum (<i>KCNK15-AS1</i>, <i>MEG3</i>, and <i>SEMA3B-AS1</i>), and greater omentum (<i>MEG3</i>, <i>SEMA3B-AS1</i>, and <i>ZNF667-AS1</i>). The same four lncRNA genes involved in peritoneal spread were associated with clinical stage and tumor extent (<i>p</i> < 0.001). Interestingly, we found a reversion from increase to decrease in the hypermethylation level of five metastasis-related lncRNA genes (<i>MEG3</i>, <i>SEMA3B-AS1</i>, <i>SSTR5-AS1</i>, <i>ZEB1-AS1</i>, and <i>ZNF667-AS1</i>) in 59 peritoneal metastases. This reversion may be associated with partial epithelial-mesenchymal transition (EMT) in metastatic cells, as indicated by a decrease in the level of the EMT marker, CDH1 mRNA (<i>p</i> < 0.01). Furthermore, novel mRNA targets and regulated miRNAs were predicted for a number of the studied lncRNAs using the NCBI GEO datasets and analyzed by RT-qPCR and transfection of SKOV3 and OVCAR3 cells. In addition, hypermethylation of <i>SEMA3B-AS1</i>, <i>SSTR5-AS1</i>, and <i>ZNF667-AS1</i> genes was proposed as a marker for overall survival in patients with EOC.

International Journal of Molecular SciencesVol. 25(21)
Engelhardt Institute of Molecular Biology (RU), Russian Medical Academy of Continuous Professional Education (RU), Research Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences (RU), Vavilov Institute of General Genetics (RU)
Russian Science Foundation
Good health and well-being
Openalex Percentile: Top 25%
Cancer-related molecular mechanisms research
0.86
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.