Novel linkages between DCE-MRI and genomic profiling in locally advanced and inflammatory breast cancer

Build and Download Custom Datasets

refine.bio helps you build ready-to-use datasets with normalized transcriptome data from all of the world’s genetic databases.

GSE52322

Homo sapiens

34 Downloadable Samples

Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Submitter Supplied Information

Description

Gene expression signatures have the capacity to identify clinically significant features of breast cancer and can predict which individual patients are likely to be resistant to neoadjuvant therapy, thus providing the opportunity to guide treatment decisions.

PubMed ID

16467094

Publication Title

Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy.

Total Samples

Submitter’s Institution

Duke University

Authors

Dressman HK, Hans C, Bild A, Olson JA, Rosen E, Marcom PK, Liotcheva VB, Jones EL, Vujaskovic Z, Marks J, Dewhirst MW, West M, Nevins JR, Blackwell K

Source Repository

Gene Expression Omnibus (GEO)

No rows found