title: Transcriptome profiling in clinical breast cancer: from 3D culture models to prognostic signatures.
abstract: Early detection has been one of the most effective strategies to control the growing cancer burden. The power of earlier detection has been demonstrated by the impact of pap-smear, mammography, and PSA tests on cancer patient treatment and survival. These tests benefit patients independent of their genetic background or race. However, in many cases, we are still losing the battle against cancer because patients that initially presented with low-grade disease progress rapidly to aggressive forms of the disease. As of yet, we have limited means to predict a particular patient's fate or to specifically treat subtypes of cancer. A combination of earlier detection and targeted therapy, based on information from transcriptome analysis, could be a powerful ally in this battle. The theme of this review article is to briefly summarize innovative strategies using three-dimensional (3D) cell cultures of human mammary epithelial cells to predict clinical outcome in breast cancer. This strategy has the potential to further enhance our understanding of breast cancer biology and to contribute to the identification of biologically significant bio-markers that are also useful drug targets.
authors.affiliation: Department of Cancer Biology, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA. Marcia.V.Fournier@gsk.com
authors.forename: Marcia V
authors.initials: MV
authors.lastname: Fournier
authors.forename: Katherine J
authors.initials: KJ
authors.lastname: Martin
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism*; D001943:Breast Neoplasms / Q000175:diagnosis / Q000235:genetics / Q000378:metabolism / Q000628:therapy; D018929:Cell Culture Techniques / Q000379:methods*; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D011379:Prognosis; D015996:Survival Rate; D014158:Transcription, Genetic; D016896:Treatment Outcome; D014407:Tumor Cells, Cultured
chemical_list: D014408:Biomarkers, Tumor