Integrative Analysis of Gene Expression and Promoter Methylation to Differentiate High-Grade Serous Ovarian Cancer from Benign Tumors

<b>Background:</b> Ovarian cancer (OC) is the third most common and second most lethal onco-gynecological disease in the world, with high-grade serous ovarian cancer (HGSOC) making up the majority of OC cases worldwide. The current serological biomarkers used for OC diagnosis are lacking sensitivity and specificity, thus new biomarkers are greatly needed. Recently, the chromatin remodeling complex gene <i>ARID1A</i>, Notch and Wnt pathway gene expression, as well as <i>HOX</i>-related gene promoter methylation have been linked with promoting OC. <b>Methods:</b> In this pilot study, 10 gene expression biomarkers and 4 promoter methylation biomarkers were examined as potential diagnostic and prognostic indicators of OC in 65 fresh-frozen gynecologic tumor tissues. <b>Results:</b> Out of 10 genes analyzed, the expression of eight biomarkers was significantly reduced in OC cases compared to benign, and <i>HOX</i>-related gene promoter methylation significantly increased in OC tumors. Out of 14 biomarkers, <i>CTNNB1</i> showed the best single biomarker separation of HGSOC from benign cases (AUC = 0.97), while a combination of the seven Notch pathway-related gene expressions (<i>NOTCH1</i>, <i>NOTCH2</i>, <i>NOTCH3</i>, <i>NOTCH4</i>, <i>DLL1</i>, <i>JAG2</i>, and <i>HES1</i>) demonstrated the best separation of HGSOC from the benign cases (AUC = 1). <b>Conclusions:</b> The combination of multiple gene expression or gene promoter methylation biomarkers shows great promise for the development of an effective biomarker-based diagnostic approach for OC.

Authors

Institutions

Publication Details

Journal
Biomedicines
Published
2025-02-11
DOI
https://doi.org/10.3390/biomedicines13020441
Citations
4
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
6.79

Funders

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

Integrative Analysis of Gene Expression and Promoter Methylation to Differentiate High-Grade Serous Ovarian Cancer from Benign Tumors

Rasa Sabaliauskaitė, Rūta Čiurlienė, Juozas Rimantas Lazutka, Ieva Vaicekauskaitė et al.
4 citations
Biomedicines
Ovarian cancer diagnosis and treatment
6.79
article

Integrative Analysis of Gene Expression and Promoter Methylation to Differentiate High-Grade Serous Ovarian Cancer from Benign Tumors

Rasa Sabaliauskaitė, Rūta Čiurlienė, Juozas Rimantas Lazutka, Ieva Vaicekauskaitė, Rugilė Gineikaitė, Paulina Kazlauskaitė
article en
4 citations

Abstract

<b>Background:</b> Ovarian cancer (OC) is the third most common and second most lethal onco-gynecological disease in the world, with high-grade serous ovarian cancer (HGSOC) making up the majority of OC cases worldwide. The current serological biomarkers used for OC diagnosis are lacking sensitivity and specificity, thus new biomarkers are greatly needed. Recently, the chromatin remodeling complex gene <i>ARID1A</i>, Notch and Wnt pathway gene expression, as well as <i>HOX</i>-related gene promoter methylation have been linked with promoting OC. <b>Methods:</b> In this pilot study, 10 gene expression biomarkers and 4 promoter methylation biomarkers were examined as potential diagnostic and prognostic indicators of OC in 65 fresh-frozen gynecologic tumor tissues. <b>Results:</b> Out of 10 genes analyzed, the expression of eight biomarkers was significantly reduced in OC cases compared to benign, and <i>HOX</i>-related gene promoter methylation significantly increased in OC tumors. Out of 14 biomarkers, <i>CTNNB1</i> showed the best single biomarker separation of HGSOC from benign cases (AUC = 0.97), while a combination of the seven Notch pathway-related gene expressions (<i>NOTCH1</i>, <i>NOTCH2</i>, <i>NOTCH3</i>, <i>NOTCH4</i>, <i>DLL1</i>, <i>JAG2</i>, and <i>HES1</i>) demonstrated the best separation of HGSOC from the benign cases (AUC = 1). <b>Conclusions:</b> The combination of multiple gene expression or gene promoter methylation biomarkers shows great promise for the development of an effective biomarker-based diagnostic approach for OC.

BiomedicinesVol. 13(2)
Vilnius University (LT), National Cancer Institute (LT)
Lietuvos Mokslo Taryba, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 4%
Ovarian cancer diagnosis and treatment
6.79
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.