Ancillary Study GOG 158: Survival Analysis Based on Reclassification to a Two-Tier Grading System
NCT ID: NCT00837993
Last Updated: 2012-12-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
241 participants
OBSERVATIONAL
2007-08-31
2012-12-31
Brief Summary
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* To reclassify the histologic grade of the serous ovarian cancer specimens of patients enrolled on Gynecologic Oncology Group (GOG) protocol 158 using a two-tier system.
Secondary Objective:
* To determine the overall and progression-free survival of patients with serous carcinoma of the ovary treated on GOG protocol 158 when reclassified according to tumor grade (low vs. high).
Tertiary Objective:
* To correlate histologic grade with other prognostic factors.
Detailed Description
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Conditions
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Keywords
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Survival Analysis
Survival Analysis Based on Reclassification to a Two-tier Grading System: Review of Pathology Slides for Patients participating on Protocol COG 158.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
FEMALE
No
Sponsors
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Gynecologic Oncology Group
NETWORK
M.D. Anderson Cancer Center
OTHER
Responsible Party
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Principal Investigators
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Diane C. Bodurka, MD, BS
Role: PRINCIPAL_INVESTIGATOR
UT MD Anderson Cancer Center
Locations
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UT MD Anderson Cancer Center
Houston, Texas, United States
Countries
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References
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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.
Related Links
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UT MD Anderson Cancer Center
Other Identifiers
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2007-0509
Identifier Type: -
Identifier Source: org_study_id