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Journals / Doğu Karadeniz Sağlık Bilimleri Dergisi / 2026 / Cilt: 2 Sayı: Kongre Özel Sayısı Özel Sayı

THE EXPRESSION ANALYSIS OF SPECIFIC GENES IN OVARIAN CANCER

Over Kanserinde Belirli Genlerin Anlatım Analizi

Ece Gümüşoğlu-acar(ISTANBUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF MOLECULAR BIOLOGY AND GENETICS, MOLECULAR BIOLOGY AND GENETICS PR.)0000-0003-3807-0330
Berkcan Doğan(BURSA ULUDAG UNIVERSITY)0000-0001-8061-8131
Mehmet Ulaş Bilir(ISTANBUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF MOLECULAR BIOLOGY AND GENETICS, MOLECULAR BIOLOGY AND GENETICS PR.)0000-0001-8469-705X
Tugce Senturk-kirmizitas(ISTANBUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF MOLECULAR BIOLOGY AND GENETICS, MOLECULAR BIOLOGY AND GENETICS PR.)0000-0001-6235-251X
Samet Topuz(ISTANBUL UNIVERSITY, İSTANBUL FACULTY OF MEDICINE, İSTANBUL MEDICINE PR.)0000-0002-9069-0185
Tuba Gunel(ISTANBUL UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF MOLECULAR BIOLOGY AND GENETICS, MOLECULAR BIOLOGY AND GENETICS PR.)0000-0003-3514-5210
Pages
136–143
Publication Date
2023-10-31
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AI Summary & Key Takeaways

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

In conclusion, the results can indicate the new perspective for OC pathogenesis and treatment.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: Ovarian cancer (OC) is the most lethal gynecologic malignancy and frequently diagnosed at an advanced stage because of the inadequate number of biomarkers.
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Key Findings & Data:Method: The expression levels of seven genes (FOS, FOSL2, JUN, MMP-2, MMP-9, TIMP-2, and VEGFA) were identified by qRT-PCR.
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Conclusion & Impact:In conclusion, the results can indicate the new perspective for OC pathogenesis and treatment.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:gen anlatımı · biyobelirteç · over kanseri

Abstract

Aim: Ovarian cancer (OC) is the most lethal gynecologic malignancy and frequently diagnosed at an advanced stage because of the inadequate number of biomarkers. Therefore, identification of OC specific biological markers is a vital step for diagnosis and treatment response. Our goal is to examine functional gene sets which are possibly markers for ovarian cancer and their expression profiles in OC patients. We also aim to determine the potential genes for therapeutic targets for OC patients. Method: The expression levels of seven genes (FOS, FOSL2, JUN, MMP-2, MMP-9, TIMP-2, and VEGFA) were identified by qRT-PCR. The tumor-free control group consisted of total abdominal hysterectomy (n=1) and bilateral salpingo-oophorectomy (n=9) patients who underwent gynecologic procedures. High-grade serous OC epithelial samples (n=10) were used for the experiment group. Results and Conclusions: According to the qRT-PCR data, there is an increased expression of FOS (p=0.0089), MMP-9 (p=0.0029), VEGFA (p=0.0434) and decreased expression of FOSL2 (p=0.0271), JUN (p=0.0041), TIMP-2 (p=0.0062). In conclusion, the results can indicate the new perspective for OC pathogenesis and treatment. For future studies, these genes can be used in personalized diagnosis and therapy of OC.

Özet

Amaç: En ölümcül jinekolojik malignite olan over kanseri (OK), tanısal ve prognostik biyobelirteçlerin eksikliği nedeniyle genellikle ileri evrede teşhis edilir. Bu nedenle, OK'ye özgü biyolojik belirteçlerin tanımlanması, teşhis ve tedavi yanıtı için çok önemli bir adımdır. Amacımız, OK hastalarında over kanseri için potansiyel belirteç olan fonksiyonel gen setlerini ve ekspresyon profillerini incelemektir. Ayrıca OK hastaları için olası terapötik hedefler olabilecek genlerin potansiyelini belirlemeyi de amaçlarımızdandır. Yöntem: qRT-PCR kullanılarak yedi genin (FOS, FOSL2, JUN, MMP-2, MMP-9, TIMP-2 ve VEGFA) ekspresyon profilleri belirlenmiştir. Kontrol grubu, tümör oluşumu gözlenmeyen, jinekolojik prosedür uygulanan total abdominal histerektomi (n=1) ve bilateral salpingo-ooferektomi (n=9) hastalarından oluşturulmuştur. Deney grubu için yüksek dereceli seröz OC epitel örnekleri (n=10) kullanılmıştır. Bulgular ve Sonuçlar: qRT-PCR verilerine göre FOS (p=0,0089), MMP-9 (p=0,0029), VEGFA (p=0,0434) ekspresyonunda artış ve FOSL2 (p=0.0271), JUN (p=0.0041) ve TIMP-2 (p=0.0062) ekspresyonunda azalma tespit edilmiştir. Sonuç olarak, veriler OK patogenezi ve tedavisi ile ilgili yeni yaklaşımlar geliştirilmesini sağlayacaktır. Aday genler, gelecekte OK için kişiselleştirilmiş tanı ve tedaviyi geliştirebilecektir.

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Cite This Article

Gümüşoğlu-acar, E., Doğan, B., Bilir, M. U., Senturk-kirmizitas, T., Topuz, S., Gunel, T. (2023). THE EXPRESSION ANALYSIS OF SPECIFIC GENES IN OVARIAN CANCER. Doğu Karadeniz Sağlık Bilimleri Dergisi, Cilt: 2 Sayı: Kongre Özel Sayısı Özel Sayı, 136–143. https://doi.org/10.59312/ebshealth.1367196

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