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Journals / Hacettepe Journal of Biology and Chemistry / 2026 / Volume: 54 Issue: 3

Potential Diagnostic Gene Set and Pathway Alterations in Ovarian Cancer

Over Kanserinde Potansiyel Tanısal Gen Seti ve Yolak Değişiklikleri

Ece Gümüşoğlu-Acar(ISTANBUL UNIVERSITY, FACULTY OF SCIENCE)0000-0003-3807-0330
Berkcan Dogan(BURSA ULUDAG UNIVERSITY, SCHOOL OF MEDICINE)0000-0001-8061-8131
Mehmet Ulaş Bilir(ISTANBUL UNIVERSITY)0000-0001-8469-705X
Tugce Senturk Kirmizitas(ISTANBUL UNIVERSITY)0000-0001-6235-251X
Samet Topuz(ISTANBUL UNIVERSITY, İSTANBUL FACULTY OF MEDICINE)0000-0002-9069-0185
Tuba Gunel(İstanbul Üniversitesi)0000-0003-3514-5210
Pages
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Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Gene Expression Profiling Interactive Analysis (GEPIA) was used for pathological stage and overall survival analysis in the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. qRT-PCR results revealed that FOS (P-value = 0.0089), MMP-9 (P-value = 0.0029), and VEGFA (P-value = 0.0434) were upregulated.

📌 3 Key Takeaways

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Objective & Hypothesis:Ovarian cancer (OC) is the eighth leading cause of cancer-related deaths among women.
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Key Findings & Data:The expression profiling of Fos Proto-Oncogene, Activator Protein-1 Transcription Factor Subunit (FOS), FOS Like 2, Activator Protein-1 Transcription Factor Subunit (FOSL2), Activator Protein-1 Transcription Factor Subunit Jun Proto-Oncogene (JUN), Matrix Metalloproteinases 2 (MMP-2), Matrix Metalloproteinases 9 (MMP-9) and Tissue Inhibitor of Metalloproteinase 2 (TIMP-2) and Vascular Endothelial Growth Factor (VEGFA) was performed using quantitative real-time PCR (qRT-PCR) in healthy ovary tissues (n=10) and high-grade serous OC tissues (n=10).
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Conclusion & Impact:Gene Expression Profiling Interactive Analysis (GEPIA) was used for pathological stage and overall survival analysis in the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. qRT-PCR results revealed that FOS (P-value = 0.0089), MMP-9 (P-value = 0.0029), and VEGFA (P-value = 0.0434) were upregulated.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:ovarian cancer · gene expression · diagnosis

Abstract

Ovarian cancer (OC) is the eighth leading cause of cancer-related deaths among women. This study aimed to evaluate multiple functional genes involved in OC pathogenesis and diagnosis. The expression profiling of Fos Proto-Oncogene, Activator Protein-1 Transcription Factor Subunit (FOS), FOS Like 2, Activator Protein-1 Transcription Factor Subunit (FOSL2), Activator Protein-1 Transcription Factor Subunit Jun Proto-Oncogene (JUN), Matrix Metalloproteinases 2 (MMP-2), Matrix Metalloproteinases 9 (MMP-9) and Tissue Inhibitor of Metalloproteinase 2 (TIMP-2) and Vascular Endothelial Growth Factor (VEGFA) was performed using quantitative real-time PCR (qRT-PCR) in healthy ovary tissues (n=10) and high-grade serous OC tissues (n=10). Functional gene set and pathway analysis were conducted by the g: profiler web server. Gene Expression Profiling Interactive Analysis (GEPIA) was used for pathological stage and overall survival analysis in the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. qRT-PCR results revealed that FOS (P-value = 0.0089), MMP-9 (P-value = 0.0029), and VEGFA (P-value = 0.0434) were upregulated. FOSL2 (P-value = 0.0271), JUN (P-value = 0.0041), and TIMP-2 (P-value = 0.0062) were downregulated. Pathway enrichment analysis showed that the relaxin signaling pathway was the most significant (FDR=9.38e-08) biological pathway. The FOSL2 and TIMP-2 are significant in overall survival and pathological stage analysis, respectively. The analyzed genes may have the potential for personalized diagnosis and treatment.

Özet

Over kanseri (OK), kadınlarda kansere bağlı ölümlerin sekizinci en yaygın nedenidir. Bu çalışmada, OK patogenezi ve tanısında rol oynayabilecek çeşitli fonksiyonel genlerin taraması hedeflenmiştir. ‘Fos Proto-Oncogene, Activator Protein-1 Transcription Factor Subunit’ (FOS), ‘FOS Like 2, Activator Protein-1 Transcription Factor Subunit’ (FOSL2), ‘Activator Protein-1 Transcription Factor Subunit Jun Proto-Oncogene’ (JUN), ‘Matrix Metalloproteinases 2’ (MMP-2), ‘Matrix Metalloproteinases 9’ (MMP-9) and ‘Tissue Inhibitor of Metalloproteinase 2’ (TIMP-2) ve ‘Vascular Endothelial Growth Factor’ (VEGFA) genlerinin ekspresyon profilleri, sağlıklı over dokularında (n=10) ve yüksek dereceli seröz OK tümör dokularında (n=10) kantitatif gerçek zamanlı PCR (qRT-PCR) kullanılarak gerçekleştirilmiştir. Fonksiyonel gen seti ve yolak analizi, g: profiler web sunucusu tarafından gerçekleştirilmiştir. ‘Genotype-Tissue Expression’ (GTEx) ve ‘The Cancer Genome Atlas’ (TCGA) veri setlerinde patolojik evre ve genel sağkalım analizi için ‘Gene Expression Profiling Interactive Analysis’ (GEPIA) kullanılmıştır. qRT-PCR sonuçları, FOS (P-değeri = 0,0089), MMP-9 (P-değeri = 0,0029) ve VEGFA (P-değeri = 0,0434) genlerinin ekspresyonunun arttığını göstermektedir. FOSL2 (P-değeri = 0,0271), JUN (P-değeri = 0,0041) ve TIMP-2 (P-değeri = 0,0062) genlerinin ise ekspresyonu azalmıştır. Yolak zenginleştirme analizi relaksin sinyal yolağının en önemli (FDR=9.38e-08) biyolojik yolak olduğunu göstermiştir. FOSL2 ve TIMP-2, sırasıyla genel sağkalım ve patolojik evre analizinde önemlidir. Analiz edilen genler, kişiselleştirilmiş tanı ve tedavi için potansiyel taşımaktadır.

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Cite This Article

Gümüşoğlu-Acar, E., Dogan, B., Bilir, M. U., Kirmizitas, T. S., Topuz, S., Gunel, T. (2026). Potential Diagnostic Gene Set and Pathway Alterations in Ovarian Cancer. Hacettepe Journal of Biology and Chemistry, Volume: 54 Issue: 3. https://doi.org/10.15671/hjbc.1796263

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