Identifying Genetic Targets in Gynecological Tumors
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: RNA extraction and gene expression.
- Who it may be relevant to
- Registry conditions: Ovarian Cancer. Basic parameters: from 18 years · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Italy
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Identification of Genetic Targets in Gynecological Tumors Via a Triple in Silico Ex-vivo / in Vivo Approach
Overview
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.
Detailed description
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.
Interventions
- Other RNA extraction and gene expression
RNA extraction and gene expression
Primary outcome measures
- Gene expression profiling of selected target genes [Time frame: 18 months]
Secondary outcome measures (3)
- Protein expression analysis by immunohistochemistry [Time frame: 24 months]
- Functional in vitro validation [Time frame: 30 months]
- Transcriptome-wide analysis in recurrent cases [Time frame: 30 months]
Eligibility criteria
Inclusion criteria
- 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)
Exclusion criteria
- 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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Case-control
Study locations
Italy · 1 center
- Azienda USL IRCCS di Reggio Emilia — Reggio Emilia
Publications
- 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
Identifiers
NCT: NCT07169396 · 676/2021/TESS/AUSLRE