Unknown

Dataset Information

Transcription profiling of human cohort of lymph node-negative breast cancer patients identifies a six-gene signature predicting breast cancer lung metastasis


ABSTRACT: The lungs are a frequent target of metastatic breast cancer cells, but the underlying molecular mechanisms are unclear. All existing data were obtained either using statistical association between gene expression measurements found in primary tumors and clinical outcome, or using experimentally derived signatures from mouse tumor models. Here, we describe a distinct approach that consists to utilize tissue surgically resected from lung metastatic lesions and compare their gene expression profiles with those from non-pulmonary sites, all coming from breast cancer patients. We demonstrate that the gene expression profiles of organ-specific metastatic lesions can be used to predict lung metastasis in breast cancer. We identified a set of 21 lung metastasis-associated genes. Using a cohort of

ORGANISM(S): Homo sapiens

SUBMITTER: Landemaine T 

PROVIDER: S-ECPF-GEOD-11078 | biostudies-other | 2008 Aug

REPOSITORIES: biostudies-other

Similar Datasets