Project description:Metastatic progression remains the major cause of death in human breast cancer. Cancer cells with cancer stem cell (CSC) properties drive initiation and growth of metastases at distant sites. We have previously established the breast cancer patient-derived tumor xenograft (PDX) mouse model in which CSC marker CD44+ cancer cells formed spontaneous microscopic metastases in the liver. In this PDX mouse, the expression levels of S100A10 and its family proteins were much higher in the CD44+ cancer cells metastasized to the liver than those at the primary site.
Project description:To investigate the properties of breast cancer stem cells, we generated sphere cells derived from adherent cells of breast cancer cell line, MCF-7, and obtained gene expression data of Illumina Gene Chip Arrays.
Project description:Breast cancer stem cells are considered estrogen receptor negative and estrogen insensitive. However, estrogens potentiate growth of the vast majority of breast tumors. In this study, we characterize the expression of estrogen receptors in breast cancer stem cells. We used microarrays to characterize the global gene expression underlying estrogen receptor activation versus inhibition in breast cancer cells from invasive breast cancers. Cancer cells from invasive breast carcinomas are treated with D (DPN), T (4OHT) or untreated (vehicle control).
Project description:Breast cancer stem cells are considered estrogen receptor negative and estrogen insensitive. However, estrogens potentiate growth of the vast majority of breast tumors. In this study, we characterize the expression of estrogen receptors in breast cancer stem cells. We used microarrays to characterize the global gene expression underlying estrogen receptor activation versus inhibition in breast cancer cells from invasive breast cancers.
Project description:To further compare gene expression profile between breast cancer stem cells (SP cells) and non-SP cells, we have employed illumina GEX microarray as a discovery platform to identify gene differential expression between SP with non-SP cells. SP analysis and sorting were done using a FACSVantage SE.The breast cancer cells were sorted into SP and non-SP cells.Total RNA was isolated from the FACS-sorted SP or non-SP cells, and gene expression signiture was detected by microarray.
Project description:Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells, are thought to be responsible for metastasis and chemoresistance.. In this study, based on whole transcriptome analysis from putative breast CSCs and reverse-engineering of transcription control networks, we were able to identify two networks associated to this phenotype.