- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00897091
S8814A Biomarkers in Predicting Outcome in Postmenopausal Women With Hormone Receptor-Positive, Node-Positive Breast Cancer Treated With Tamoxifen With or Without Cyclophosphamide, Doxorubicin, and Fluorouracil
Molecular Predictors of Outcome on CAF Plus Tamoxifen Versus Tamoxifen Alone in Postmenopausal Women With Node Positive, Receptor Positive Breast Cancer [NCI Correlative Science Reference No. # 8814A-ICSC]
RATIONALE: Studying samples of 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 patients will respond to treatment.
PURPOSE: This laboratory study is looking at biomarkers in predicting outcome in postmenopausal women with hormone receptor-positive, node-positive breast cancer treated with tamoxifen with or without cyclophosphamide, doxorubicin, and fluorouracil.
Study Overview
Status
Conditions
Detailed Description
OBJECTIVES:
Primary
- Determine the value of the Oncotype DX Recurrence Score for prediction of treatment benefit of cyclophosphamide, doxorubicin hydrochloride, and fluorouracil (CAF) chemotherapy, in terms of disease-free survival (DFS) and overall survival (OS), in postmenopausal patients with estrogen and/or progesterone receptor-positive, node-positive breast cancer treated on clinical trial SWOG-8814.
- Determine the overall prognostic value of the Oncotype DX Recurrence Score, in terms of DFS and OS, in patients treated with tamoxifen citrate alone or CAF with concurrent or sequential tamoxifen citrate.
Secondary
- Determine the optimal cut point (i.e., low, intermediate, and high recurrence risk) for the Recurrence Score in these patients.
- Determine the relationship between expression of any one of the 21 genes on the Oncotype DX gene panel with DFS and OS.
- Determine whether the expression of any of these genes are associated with CAF treatment benefit.
- Determine the relationship between the Oncotype DX Recurrence Score and DFS and OS in multivariate models, including number of positive nodes, tumor size, tumor grade, estrogen receptor, progesterone receptor, and HER2 and p53 status.
- Determine the relationship between quantitative reverse-transcriptase-polymerase chain reaction expression of up to 800 additional genes and prognosis and/or prediction of CAF benefit.
OUTLINE: This is a multicenter study.
Fixed paraffin-embedded breast tumor tissue samples (obtained from the SWOG Central Tumor Repository at the University of Colorado) are analyzed by the Oncotype DX panel containing the following 21 genes: BAG1, Bc12, CCNB1, CD68, SCUBE2, CTSL2, Esrt1, GRB7, GSTM1, HER2, Ki-67, MYBL2, PR, STK15, STMY3, SURV, B-actin, GAPDH, GUS, RPLPO, and TFRC. The Oncotype DX Recurrence Score is calculated for each patient. Analyses are performed to determine the relationship between the Recurrence Score and gene expression and prognosis/prediction of therapy (tamoxifen citrate alone or cyclophosphamide, doxorubicin hydrochloride, and fluorouracil with concurrent or sequential tamoxifen citrate) benefit as well as to determine the relationship between clinical and demographic covariates and disease-free and overall survival.
Samples are also analyzed by reverse-transcriptase-polymerase chain reaction for exploratory analysis of up to 800 additional genes that may be prognostic and/or predict the likelihood of therapy benefit.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Illinois
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Maywood, Illinois, United States, 60153
- Cardinal Bernardin Cancer Center at Loyola University Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
DISEASE CHARACTERISTICS:
Histologically confirmed breast cancer
- Node-positive disease (pT1-3a, pN1-2 [clinical N0-1], M0)
- Previously enrolled in SWOG-8814, a treatment clinical trial, and in SWOG-9445, a companion tissue banking study
Tumor block or unstained sections available from initial diagnosis in the SWOG archive
- Sufficient tumor in block or unstained sections
- Patients for whom only unstained slides are available must have acceptable reverse-transcriptase-polymerase chain reaction (RT-PCR) profiles
- Sufficient RNA (≥ 300 ng) for RT-PCR analysis with the Oncotype DX 21 gene assay
- Average normalized cycle threshold for the 5 reference genes ≤ 35
- Follow-up data from the SWOG-8814 clinical trial obtained from the patient
Hormone receptor status:
- Estrogen and/or progesterone receptor positive tumor
PATIENT CHARACTERISTICS:
- Female
- Postmenopausal
PRIOR CONCURRENT THERAPY:
- See Disease Characteristics
Study Plan
How is the study designed?
Design Details
- Time Perspectives: Retrospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
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Overall survival
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Disease-free survival
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Secondary Outcome Measures
Outcome Measure |
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Distant disease-free recurrence
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Collaborators and Investigators
Sponsor
Collaborators
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- CDR0000528264
- U10CA032102 (U.S. NIH Grant/Contract)
- S8814A-ICSC (Other Identifier: SWOG)
- GHI-01-024 (Other Identifier: Genomic Health)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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