Molecular Predictors of Loco-Regional Recurrence in Node Positive Breast Cancer
Molecular Predictors of Loco-Regional Recurrence in Node Positive Breast Cancer
RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors identify and learn more about biomarkers related to cancer. It may also help doctors predict whether cancer will come back after treatment.
PURPOSE: This research trial is studying genes that may predict local recurrence in samples from patients with breast cancer. treated on NSABP-B-28
OBJECTIVES:
OUTLINE: RNA extracted from paraffin-embedded tissue samples are analyzed for gene expression profile by Ribogreen assay and RT-PCR. Results are then compared and analyzed with each patient clinical-pathologic factors, including tumor size, patient age, number of positive nodes (1-3, 4+), tumor grade, and surgery type (mastectomy or lumpectomy).
DISEASE CHARACTERISTICS:
Diagnosed with breast cancer and enrolled on NSABP-B-28.
Primary tumor tissue samples available
Treated with cyclophosphamide and doxorubicin hydrochloride and tamoxifen with or without paclitaxel
PATIENT CHARACTERISTICS:
PRIOR CONCURRENT THERAPY: