Biomarkers in Predicting Response in Patients With Advanced Ovarian Epithelial Cancer, Fallopian Tube Cancer, or Primary Peritoneal Cancer Treated on GOG-0172 or GOG-0182
ERCC1 Expression as a Predictor of Progression Free and Overall Survival in Patients With Epithelial Ovarian Cancer Treated on GOG Protocols 0172 and 0182
2 other identifiers
observational
513
0 countries
N/A
Brief Summary
RATIONALE: Studying samples of blood and tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how well patients will respond to treatment. PURPOSE: This research study is looking at biomarkers in predicting response in patients with advanced ovarian epithelial cancer, fallopian tube cancer, or primary peritoneal cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2010
CompletedFirst Submitted
Initial submission to the registry
February 23, 2010
CompletedFirst Posted
Study publicly available on registry
February 24, 2010
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2010
CompletedFebruary 24, 2010
February 1, 2010
28 days
February 23, 2010
February 23, 2010
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Association between ERCC1 tumor expression and progression-free and overall survival
Secondary Outcomes (1)
Association between ERCC1 polymorphisms and ERCC1 tumor expression
Interventions
Eligibility Criteria
Contact the study team to discuss eligibility requirements. They can help determine if this study is right for you.
Sponsors & Collaborators
- Gynecologic Oncology Grouplead
- National Cancer Institute (NCI)collaborator
Related Publications (1)
Rose PG, Java JJ, Salani R, Geller MA, Secord AA, Tewari KS, Bender DP, Mutch DG, Friedlander ML, Van Le L, Method MW, Hamilton CA, Lee RB, Wenham RM, Guntupalli SR, Markman M, Muggia FM, Armstrong DK, Bookman MA, Burger RA, Copeland LJ. Nomogram for Predicting Individual Survival After Recurrence of Advanced-Stage, High-Grade Ovarian Carcinoma. Obstet Gynecol. 2019 Feb;133(2):245-254. doi: 10.1097/AOG.0000000000003086.
PMID: 30633128DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Thomas C. Krivak, MD
University of Pittsburgh
Study Design
- Study Type
- observational
- Sponsor Type
- NETWORK
Study Record Dates
First Submitted
February 23, 2010
First Posted
February 24, 2010
Study Start
February 1, 2010
Primary Completion
March 1, 2010
Last Updated
February 24, 2010
Record last verified: 2010-02