Analyzing data on metastatic ovarian cancer using multi-omics
A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics
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 |
|---|---|
| Enrollment | 200 (estimated) |
| Ages | 18 Years and up |
| Sex | Female |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT05251883 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: 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.
Eligibility criteria
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 this trial is running
Guangzhou, Guangdong
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.