Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.

ABSTRACT: Lymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. (Affymetrix Human U133 Plus 2.0 microarray chips). A model, including 241 genes was built and validated on an internal and external dataset performed with Affymetrix technology. All samples used for validation had the same characteristics as the initial tumors. The area under the ROC curve (AUC) for the internal dataset was 0.646 and 0.651

ORGANISM(S): Homo sapiens

SUBMITTER: Joke Allemeersch 

PROVIDER: E-GEOD-23177 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress