Identifying Genetic Targets in Gynecological Tumors
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: RNA extraction and gene expression.
- Кому может быть актуально
- Состояния в реестре: Ovarian Cancer. Базовые параметры: от 18 лет · Женщины.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Италия
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
Identification of Genetic Targets in Gynecological Tumors Via a Triple in Silico Ex-vivo / in Vivo Approach
Обзор
This observational study aims to identfy genetic targets involved in the pathogenesis of gynecological tumors, with a focus on high-grade serous ovarian carcinoma. Using a triple approach - in silico, ex vivo and in vitro - the study will investigate the role of gonadotropins and their related signaling pathways in the epithelial ovarian cancers. Gene and protein expression levels will be evaluated through transcriptomic analysis, immunohistochemistry and functional assays on tumor cell lines. The goal is to uncover potential diagnostic or therapeutic targets in gynecological malignancies.
Подробное описание
Ovarian cancer is the leading cause of death among gynecological malignanciens. High-grade serous ovarian carcinoma (HGSOC) represents the most common and aggressive subtype. Growing evidence suggests that gonadotropins and their receptors (FSHR and LHCGR), as well as membrane estrogen receptors (GPER), may play a significant role in ovarian carcinogenesis by modulating proliferative and anti-apoptotic signals. The GEN EX CO 2021 study is a monocentric, observational project conducted at AUSL-IRCCS Reggio Emilia. It is both prospective and retrospective, and it aims to identify gene expression patterns that differentiate ovarian tumor tissues from normal ovarian epithelium. The study uses a triple experimental approach:
* In silico: differentially expressed genes were identified from public datasets (GSE18521 and GSE26712) via transcriptomic analysis and pathway analysis; * Ex vivo: mRNA and protein expression will be assessed in fresh-frozen and FFPE tissue samples from patients with HGSOC and other rare epithelial ovarian tumor subtypes (e.g., mesonephric-like, mucinous, endometrioid, clear cell); * In vitro: functional experiments using ovarian cancer cell lines (e.g., A2780, KGN, HGL5) will evaluate the effects of gene overexpression or silencing on cell viability, apoptosis and proliferation.
Participants include both prospective cases and retrospective samples, as well as control tissues from patients undergoing surgery for benign conditions. Gene expressions will be assessed through digital PCR, while protein levels will be analyzed via immunohistochemistry. Functional studies will explore the biological impact of selected genes on tumor cell behavior. Data will be collected using a secure, coded e-CRF in compliance with ethical and privacy regulations. The ultimate goal is to identify novel molecular targets that could inform future diagnostic or therapeutic approaches in ovarian cancer.
Вмешательства
- Другое RNA extraction and gene expression
RNA extraction and gene expression
Первичные конечные точки
- Gene expression profiling of selected target genes [Срок оценки: 18 months]
Вторичные конечные точки (3)
- Protein expression analysis by immunohistochemistry [Срок оценки: 24 months]
- Functional in vitro validation [Срок оценки: 30 months]
- Transcriptome-wide analysis in recurrent cases [Срок оценки: 30 months]
Критерии участия
Критерии включения
- Adult women ≥18 years old
- Histologically confirmed diagnosis of epithelial ovarian cancer (including high- grade serous, endometrioid, mucinous, clear cell, or mesonephric-like histotypes)
- Signed informed consent (for prospective cases) or ethically approved waiver (for retrospective samples)
Критерии исключения
- Refusal to sign informed consent
- Diagnosis of low-grade or non-epithelial ovarian tumors
- Patients whose clinical or pathological data are unavailable or insufficient for study inclusion
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Модель наблюдения
- Случай-контроль
Центры проведения
Италия · 1 центр
- Azienda USL IRCCS di Reggio Emilia — Reggio Emilia
Публикации
- Zheng W, Lu JJ, Luo F, Zheng Y, Feng Yj, Felix JC, Lauchlan SC, Pike MC. Ovarian epithelial tumor growth promotion by follicle-stimulating hormone and inhibition of the effect by luteinizing hormone. Gynecol Oncol. 2000 Jan;76(1):80-8. doi: 10.1006/gyno.1999.5628. PMID 10620446
- Zhang Z, Jia L, Feng Y, Zheng W. Overexpression of follicle-stimulating hormone receptor facilitates the development of ovarian epithelial cancer. Cancer Lett. 2009 Jun 8;278(1):56-64. doi: 10.1016/j.canlet.2008.12.024. Epub 2009 Jan 31. PMID 19181441
- Czogalla B, Partenheimer A, Jeschke U, von Schonfeldt V, Mayr D, Mahner S, Burges A, Simoni M, Melli B, Benevelli R, Bertini S, Casarini L, Trillsch F. beta-arrestin 2 Is a Prognostic Factor for Survival of Ovarian Cancer Patients Upregulating Cell Proliferation. Front Endocrinol (Lausanne). 2020 Sep 18;11:554733. doi: 10.3389/fendo.2020.554733. eCollection 2020. PMID 33042017
- Casarini L, Lazzaretti C, Paradiso E, Limoncella S, Riccetti L, Sperduti S, Melli B, Marcozzi S, Anzivino C, Sayers NS, Czapinski J, Brigante G, Poti F, La Marca A, De Pascali F, Reiter E, Falbo A, Daolio J, Villani MT, Lispi M, Orlando G, Klinger FG, Fanelli F, Rivero-Muller A, Hanyaloglu AC, Simoni M. Membrane Estrogen Receptor (GPER) and Follicle-Stimulating Hormone Receptor (FSHR) Heteromeric PMID 33299978
Идентификаторы
NCT: NCT07169396 · 676/2021/TESS/AUSLRE