Analyzing data on metastatic ovarian cancer using multi-omics
Official title: A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics
Run by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · NCT05251883 · Data updated 2026-11-12
This study looks at tissue samples from patients with metastatic ovarian cancer to see if understanding the cancer's genetic and molecular features can help find new treatment options.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 200 (estimated) |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | January 1, 2022 |
| Main results expected | December 2023 |
| Study ends | December 2026 |
| Registry record updated | May 19, 2023 |
| Trial ID | NCT05251883 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are females aged 18 and older who have been diagnosed with ovarian cancer and have not received prior anti-tumor treatments.
✕Probably not a fit
Patients with other malignant tumors, those who have received prior anti-tumor treatments, or those with significant neurological or psychiatric disorders may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on patients diagnosed with metastatic ovarian cancer, aiming to collect and analyze large tissue samples. By employing multi-omics approaches, the study seeks to map the genomic and transcriptomic characteristics of the cancer, exploring molecular mechanisms that could serve as new treatment targets. Additionally, a comprehensive database will be established to integrate various omics, imaging, pathology, and clinical data to investigate their relationships and implications for prognosis.
Why it matters
Potential benefit: If successful, this study could lead to the identification of new therapeutic targets for metastatic ovarian cancer, improving treatment options for patients.
How similar studies have gone: While multi-omics approaches are gaining traction in cancer research, this specific application to metastatic ovarian cancer is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. female, ≥18 years old; 2. diagnosed as ovarian cancer by imaging and pathology; 3. did not receive any anti-tumor drug treatment before surgery in the gynecology clinical department of the Sun Yat Sen Memorial Hospital of Sun Yat-Sen University; 4. received ovarian cancer surgery and Follow-up treatment; 5. Patients voluntarily participate in the research of this subject, have good compliance, and can complete the enrollment by the requirements of the trial; 6. Sign informed consent and agree to the collection and use of their data. Exclusion Criteria: 1. Patients who have received other anti-tumor treatments or received tumor surgery before enrollment; 2. Patients with malignant tumors in other parts; 3. Patients with uncontrollable neurological, psychiatric, or mental disorders; 4. Poor compliance and inability to Cooperate and describe treatment responders.
Where it's running
-
The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen Universit
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Huaiwu Lu, Study Director
- Email: luhuaiwu@mail.sysu.edu.cn
- Phone: +86 18688395806
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.