Project description:subpopulation of breat cancer using gene expression data and clinical data Keywords: breast cancer survival and metastasis analysis
Project description:Gene expression profiling of breast tumors for prognosis of local reccurence. Dual channel arrays with a tumor sample in one channel and a common reference in the other channel.
Project description:SNP Expression profiling of human breast cancer: 29 tumor samples, 4 pure normal breat samples and 8 lymphocytes samples Keywords: Human Cancer
Project description:RNA-sequencing was performed on p53-inactivated human triple negative breat cancer cells to evaluate gene expression changes following MDM2 loss. Genes and pathways that are regulated by p53/p73 were induced with MDM2 loss.
Project description:Collection of human breast cancer gene expressed measured by GPL2567. This subpopulation of breast cancer has gene expression and clinical data which were used for survival prediction analysis; resulting in emphasizing the ABI1-based 7-gene prognostic signature, as a prospective multi-gene expression clinical biomarker of breast cancer aggressiveness and metastasis, and therapeutic target.
Project description:SNP Expression profiling of human breast cancer: 29 tumor samples, 4 pure normal breat samples and 8 lymphocytes samples Experiment Overall Design: In the operating theater, morphologically visible tumors were removed by surgery and examined by a surgical pathologist to confirm the presence of cancer cells by cryosections. The tissue samples were divided into discrete aliquots, flash frozen and subsequently stored in liquid nitrogen. Pure normal breast tissues are got from costmetic surgery and pure lymphocytes samples are from donators.
Project description:Breast cancer is a difficult disease to manage because it is comprised of a spectrum of tumor subtypes with different biological characteristics. Previous gene expression studies using breast tumor “intrinsic” gene lists identified five distinct subtypes of breast tumors: Luminal A, Luminal B, Normal Breast-like, HER2+/ER- and Basal-like. Using a training data set of 102 unique breast tumors, we derive a new “intrinsic” gene list based upon 26 paired samples. This Intrinsic/UNC gene set recapitulates the old classifications and extends the analysis to include a large proliferation signature, which was lacking before. Using Distance Weighted Discrimination, we next created a true “test set” of 311 tumors by combining together three different publicly available breast tumor microarray data sets (1-3), which was then analyzed using the newly derived Intrinsic/UNC gene set. The test set analysis identified the same five intrinsic subtypes seen before and a new one (Luminal I), and we show that the intrinsic subtype classifications are independent predictors of relapse-free survival when adjusting for age, node status, tumor size, grade and ER status. We also developed a “Single Sample Predictor” that is able to assign an intrinsic subtype to one sample at a time, which was also shown to be predictive of outcomes on another independent test set of tamoxifen-treated ER+ patients. These analyses demonstrate that 1) common patterns of expression can be identified across different microarray platforms, 2) the breast tumor “intrinsic” subtypes are present in all breast tumor data sets studied, and 3) this classification is adding value to the existing repertoire of clinical markers for breast cancer patients. Keywords: parallel sample
Project description:The systematic temporal gene expression analysis of primary macrophages activated under immune (interferon-gamma) and productive viral infection with murine cytomegalovirus (mCMV). The primary objective of the study is to define, in an unbiased manner, cause-and-effect relationships in the program of gene activation in this cellular system. The even spacing and time intervals (every 30 minutes) makes this study amenable to modelling of gene networks in the system. A kinetic analysis of mCMV infection on the gene expression of murine (BALB/c) bone marrow-derived macrophages (BMDMs) over the first 12 hours, sampling every 30 minutes. Agilent mouse genome arrays were used to determine the differences in gene expression between mock and mCMV infected. The 25 samples collected for the mock infected were pooled and treated as a pooled control. Pooled control was labelled with Cy3 dye and hybridised with every other sample (labelled with Cy5 dye) = 25 dual-dye array hybridisations. The reference channel of the dual-channel hybridisations was only used to normalise the expression of the test channel, rather than used to calculate ratio data. Thus, the normalised data represent log2 single-channel data.
Project description:The systematic temporal gene expression analysis of primary macrophages activated under immune (interferon-gamma (IFN-g)) and productive viral infection with murine cytomegalovirus (mCMV). The primary objective of the study is to define, in an unbiased manner, cause-and-effect relationships in the program of gene activation in this cellular system. The even spacing and time intervals (every 30 minutes) makes this study amenable to modelling of gene networks in the system. A kinetic analysis of IFN-g treatment on the gene expression of murine (BALB/c) bone marrow-derived macrophages (BMDMs) over the first 12 hours, sampling every 30 minutes. Agilent mouse genome arrays were used to determine the differences in gene expression between mock and IFN-g treated. The 25 samples collected for the mock IFN-g treatment were pooled and treated as a pooled control. Pooled control was labelled with Cy3 dye and hybridised with every other sample (labelled with Cy5 dye) = 25 dual-dye array hybridisations. The reference channel of the dual-channel hybridisations was only used to normalise the expression of the test channel, rather than used to calculate ratio data. Thus, the normalised data represent log2 single-channel data.