NLP SNP

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.

NCT00897091 Breast Cancer Genetic: comparative genomic hybridization Genetic: microarray analysis Genetic: reverse transcriptase-polymerase chain reaction Other: diagnostic laboratory biomarker analysis

MeSH: Breast Neoplasms

HPO: Breast carcinoma Neoplasm of the breast

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. --- S8814A ---

Primary Outcomes

Measure: Disease-free survival

Measure: Overall survival

Secondary Outcomes

Measure: Distant disease-free recurrence

HPO Nodes

Breast carcinoma

Genes 51

RAD51 RAD51C RAD51D CDKN2A KRAS MRE11 SLC22A18 STK11 MSH6 KLLN BRIP1 BRCA1 ATR BRCA2 PIK3CA PPM1D POLD1 NTHL1 POLE ESR1 WRN CHEK2 APC BARD1 MLH1 NBN COL14A1 AKT1 PRKN MSH2 FGFR2 IDH1 IDH2 CTNNB1 RB1CC1 PTEN MDM2 AAGAB CDH1 RNF43 PALLD PALB2 OPCML SEC23B TP53 SDHB SDHC SDHD SMAD4 TWIST1 RAD50