Identifying Genomic Predictors of Recurrence After Adjuvant Chemotherapy
Identifying Genomic Predictors of Recurrence After Adjuvant Chemotherapy
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 whether cancer will come back after treatment.
PURPOSE: This laboratory study is identifying genes that may help predict recurrence in women with breast cancer treated with chemotherapy.
OBJECTIVES:
OUTLINE: This is a multicenter study.
Tissue samples are examined for association of RNA expression and clinical factors (e.g., tumor size, nodal status, hormone receptor status, age, menopause status), as well as estrogen receptor, progesterone receptor, and HER-2/neu expression by immunohistochemistry and other studies.
PROJECTED ACCRUAL: A total of 900 patients will be accrued for this study.
DISEASE CHARACTERISTICS:
Diagnosis of breast cancer
No locally advanced, inflammatory, or metastatic breast cancer
Previously treated with 4 courses of anthracycline-containing chemotherapy (i.e., doxorubicin and docetaxel OR doxorubicin and cyclophosphamide)
Enrolled on clinical trial ECOG-E2197
Adequate tumor material available in ECOG Pathology Coordination Center
Previously consented to future cancer-related research
Hormone receptor status known
PATIENT CHARACTERISTICS:
PRIOR CONCURRENT THERAPY: