A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer

The identification of these hub genes and pathways may represent an important step forward in our understanding of HGOC. While down-regulated genes may also hold biological significance, their analysis was beyond the scope of this study and warrants future investigation. Further experimental validation is needed to confirm the roles of the identified genes in disease pathogenesis and their potential as biomarkers and therapeutic targets.

Authors

Institutions

Publication Details

Journal
Journal of the Turkish-German Gynecological Association
Published
2026-03-03
DOI
https://doi.org/10.4274/jtgga.galenos.2025.2025-1-1
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer

Murat İşbilen, Güldal İnal Gültekin, Deryanaz Billur, Özlem Timirci Kahraman et al.
Journal of the Turkish-German Gynecological Association
Ovarian cancer diagnosis and treatment
article

A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer

Murat İşbilen, Güldal İnal Gültekin, Deryanaz Billur, Özlem Timirci Kahraman, Saliha Durmuş, Turgay İşbir, Esin Bayralı Ülker, İlhan Yaylım, Tunahan Çakır
article en

Abstract

The identification of these hub genes and pathways may represent an important step forward in our understanding of HGOC. While down-regulated genes may also hold biological significance, their analysis was beyond the scope of this study and warrants future investigation. Further experimental validation is needed to confirm the roles of the identified genes in disease pathogenesis and their potential as biomarkers and therapeutic targets.

Journal of the Turkish-German Gynecological AssociationVol. 27(1)
Yeditepe University (TR), Gebze Technical University (TR), Istanbul Aydın University (TR), HUN-REN Institute of Experimental Medicine (HU), Istanbul University (TR), Okan University (TR)
Good health and well-being
Openalex Percentile: Top 32%
Ovarian cancer diagnosis and treatment
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.

A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer — Murat İşbilen, Güldal İnal Gültekin, et al. · Journal of the Turkish-German Gynecological Association (2026) | TGRS Research Map | TGRS