In Silico Approach to Molecular Profiling of the Transition from Ovarian Epithelial Cells to Low-Grade Serous Ovarian Tumors for Targeted Therapeutic Insights

Asim Leblebici ¹, Ceren Sancar ², Bahar Tercan ³

⁰Department of Translational Oncology, Institute of Health Sciences, Dokuz Eylul University, 35340 Izmir, Turkey.

Current Issues in Molecular Biology +

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March 27, 2024

View abstract on PubMed

Summary

This study identifies key genes like FGFR3 and ERBB4 involved in ovarian serous carcinoma progression. These findings offer potential drug targets for personalized treatment strategies in low-grade serous ovarian carcinoma.

Area Of Science

Oncology
Genomics
Bioinformatics

Background

Low-grade invasive serous ovarian carcinoma (LGSC) progression involves complex genetic changes.
Understanding gene expression continuity from normal to malignant states is crucial for targeted therapies.

Purpose Of The Study

To identify differentially coexpressed genes and potential drug targets in LGSC.
To explore the biologic continuity from normal ovarian epithelium to LGSC.
To correlate gene expression with tumor microenvironmental factors.

Main Methods

Bioinformatics analysis integrating GEO database datasets (GPL570 platform).
Identification of gene expression changes during LGSC progression.
Correlation analysis between gene expression and tumor microenvironment.

Main Results

FGFR3, ITGB2, CD74, and IGF1 genes were upregulated in the borderline to LGSC transition.
ERBB4 and AR genes were upregulated from normal to LGSC transition.
SPP1 and ITGB2 genes correlated with macrophage infiltration in LGSC.

Conclusions

Identified key genes and pathways implicated in LGSC development.
Provides a framework for developing personalized therapeutic approaches for LGSC.
Results are preliminary in silico inferences requiring in vitro and in vivo validation.

Keywords:

borderline gene coexpression network in silico integrative data analysis low-grade serous ovarian cancer