Collecting specimens and data for early detection and prevention of ovarian cancer
Official title: Northwestern Ovarian Cancer Early Detection & Prevention Program: A Specimen and Data Study
Run by Northwestern University · NCT00005095 · Data updated 2026-11-12
This study is trying to find better ways to detect and prevent ovarian cancer early by collecting blood and tissue samples from people at high risk.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | Women only |
| Enrollment | 6000 (estimated) |
| Sponsor | Northwestern University Academic / other |
| Locations | 1 site (Chicago, Illinois) |
| Status | Recruiting |
| Started | March 2000 |
| Main results expected | December 2030 |
| Study ends | December 2040 |
| Registry record updated | February 28, 2025 |
| Trial ID | NCT00005095 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include women at increased risk for ovarian cancer due to family history or genetic predisposition.
✕Probably not a fit
Patients without a family history of ovarian cancer or those not deemed at increased risk by a genetic counselor 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 aims to improve strategies for the early detection and prevention of ovarian cancer, particularly among high-risk populations. It involves the collection of specimens and data to develop sensitive tumor markers and identify new prevention approaches. Participants will undergo periodic specimen collection, including blood and tissue samples, and may complete questionnaires to assess psychological functioning. The study focuses on understanding and managing ovarian cancer and related gynecological malignancies.
Why it matters
Potential benefit: If successful, this study could lead to improved early detection methods and prevention strategies for ovarian cancer, potentially saving lives.
How similar studies have gone: Other studies have shown promise in developing early detection methods for ovarian cancer, making this approach both relevant and potentially impactful.
Who can join: the full rules
Show full inclusion / exclusion criteria
DISEASE CHARACTERISTICS:
* Meets one of the following criteria:
* Considered to be at increased risk for developing ovarian cancer, as defined by one of the following:
* Has at least one first-degree relative (mother, sister, or daughter) with ovarian, primary peritoneal, or fallopian tube cancer
* Has at least two first or second degree relatives diagnosed before age 50 with either ovarian, primary peritoneal, fallopian tube, and/or pancreatic cancer who have tested positive for hereditary cancer syndrome that includes an increased risk of gynecologic cancer (e.g., BRCA1/2 or Lynch Syndrome)or have increased risk as deemed by a certified genetic counselor
* A personal or family history of a hereditary cancer syndrome that includes an increased risk of gynecologic cancer
* Increased risk as deemed by a certified genetic counselor
* Undergoing surgery for a gynecologic condition, including any of the following:
* Diagnosis of a reproductive cancer
* Benign gynecological condition (e.g., uterine leiomyomata, endometriosis, pelvic inflammatory disease, or follicular or corpus luteum ovarian cysts)
* Highly suspicious adnexal mass
* Risk-reducing prophylactic oophorectomy
PATIENT CHARACTERISTICS:
Age
* Between the ages of 18 and 80
Where it's running
-
Robert H. Lurie Comprehensive Cancer Center at Northwestern University
Chicago, Illinois, United States Recruiting
Study contacts
- Study coordinator: Takelia Walker
- Email: takelia-watson@northwestern.edu
- Phone: 3125034802
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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.