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
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.
|Breast Cancer||Genetic: comparative genomic hybridization Genetic: microarray analysis Genetic: reverse transcriptase-polymerase chain reaction Other: diagnostic laboratory biomarker analysis|
|Study Design:||Time Perspective: Retrospective|
|Official Title:||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]|
- Disease-free survival
- Overall survival
- Distant disease-free recurrence
|Study Start Date:||July 2006|
|Study Completion Date:||October 2007|
|Primary Completion Date:||October 2007 (Final data collection date for primary outcome measure)|
- 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.
- 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.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00897091
|United States, Illinois|
|Cardinal Bernardin Cancer Center at Loyola University Medical Center|
|Maywood, Illinois, United States, 60153|
|Study Chair:||Kathy S. Albain, MD||Loyola University|