Prognostic Breast Cancer Signature Identified from 3D Culture Model Accurately Predicts Clinical Outcome across Independent Datasets One of the major tenets in breast cancer research is that early detection is vital for patient survival by increasing treatment options. To that end, we have previously used a novel unsupervised approach to [...]

Signatures from 3D mammary acini predict survival in two large independent datasets of breast cancer patients. Predicting clinical outcome and therapy responses of breast cancer patients is challenging and several groups have used transcriptional profiling of “training sets” (i.e. sets of patients with known outcome) to develop expression signatures. The [...]

Transcriptome Profiling in Clinical Breast Cancer: From 3D Culture Models to Prognostic Signatures 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 [...]

Gene Expression Signature in Organized and Growth-Arrested Mammary Acini Predicts Good Outcome in Breast Cancer Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene [...]

Global gene expression analysis indicates that multiple pathways are affected during growth arrest of non-malignant human mammary epithelial cells in three dimensional cell cultures The growth arrest of non-malignant human mammary epithelial cells (HMEC) in Matrigel provides a three dimensional model system in which to study a normal cell process [...]

High-sensitivity array analysis of gene expression for the early detection of disseminated breast tumor cells in peripheral blood Early detection is an effective means of reducing cancer mortality. Here, we describe a highly sensitive high-throughput screen that can identify panels of markers for the early detection of solid tumor cells [...]