SNP expression data from breast cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE5927 | GEO | 2007/02/20
SECONDARY ACCESSION(S): PRJNA97373
REPOSITORIES: GEO
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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.
2008-06-14 | E-GEOD-5927 | biostudies-arrayexpress
Project description:DNA from four 29 cases, 38 tumor samples (23 PB, 12 LN, 1 Tonsil, 1 colonic biopsy, 1 spleen) and 29 normal DNA from the same patients were analyzed with Affymetrix SNP 6.0 platform for copy number alterations study. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from blood samples, lymph nodes and other tissues like spleen, tonsil and colonic biopsy
2013-11-04 | GSE46969 | GEO
Project description:SNP 6.0 profiles of matched plasma, tumour, and normal lymphocytes in 65 breast cancer patients and 8 female controls
2011-08-01 | E-MTAB-624 | biostudies-arrayexpress
Project description:We performed whole genome SNP profiling on DNA samples from 236 patients with NF1, 123 with glimoa tumors and 113 without; 117 females and 119 males, together with 29 control samples. To identify polymorphisms in human adenylate cyclase 8 (AC8) which correlate with glioma risk in NF1 in a sex-specific manner, Ac8 SNP were extracted and further analyzed for their sex-specific NF1-associated glioma risk. Three SNPs on ADCY8 were found signficant while other SNPs on CXCR7 and ADCYAP1 were promising.
2015-02-20 | GSE62215 | GEO
Project description:To identify genetic alterations involved in the pathogenesis of PETs, we have analysed a total of 32 PET samples (29 tissue specimens and 3 cell lines) using high-resolution single nucleotide polymorphism (SNP) arrays. Keywords: comparative genomic hybridisation
2020-07-27 | GSE12476 | GEO
Project description:subpopulation of breat cancer using gene expression data and clinical data Keywords: breast cancer survival and metastasis analysis
2006-06-28 | GSE2845 | GEO
Project description:DNA from four 29 cases, 38 tumor samples (23 PB, 12 LN, 1 Tonsil, 1 colonic biopsy, 1 spleen) and 29 normal DNA from the same patients were analyzed with Affymetrix SNP 6.0 platform for copy number alterations study. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from blood samples, lymph nodes and other tissues like spleen, tonsil and colonic biopsy Copy number analysis of Affymetrix SNP 6.0 arrays was performed for 29 MCL cases samples and their respective matched non-tumor DNA, which were used as references for copy number inference.
2013-11-04 | E-GEOD-46969 | biostudies-arrayexpress
Project description:We performed whole genome SNP profiling on DNA samples from 236 patients with NF1, 123 with glimoa tumors and 113 without; 117 females and 119 males, together with 29 control samples. To identify polymorphisms in human adenylate cyclase 8 (AC8) which correlate with glioma risk in NF1 in a sex-specific manner, Ac8 SNP were extracted and further analyzed for their sex-specific NF1-associated glioma risk. Three SNPs on ADCY8 were found signficant while other SNPs on CXCR7 and ADCYAP1 were promising. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from blood samples or saliva samples in three separate sets with one processed in Washington University and two in University of Utah. The data included 29 control samples and 236 NF1 patient samples (123 with and 113 without GBM) with 153 blood specimen and 97 saliva specimen.
2015-02-20 | E-GEOD-62215 | biostudies-arrayexpress
Project description:Single nucleotide polymorphism (SNP) microarrays are commonly applied to tumors to identify genomic regions with copy number alterations (CNA) or loss of heterozygosity (LOH). However, in typical tumor specimens collected in clinical studies, up to 60% of the DNA derives from stromal cells with a normal genome, resulting in attenuated sensitivity to true somatic aberrations in the tumor. Here we describe SNPfilter, a model-based method to decompose SNP array data from heterogeneous tumor specimens into their corresponding normal and tumor profiles. Unlike existing methods, SNPfilter does not require paired normal control data. We assessed the performance of this method using SNP array data representing cancer cell lines with aberrant genomes, B-cell lymphoblastoid cell lines with normal genomes, and defined mixtures of the two. In the pure tumor samples, SNPfilter identified CNA and LOH regions with accuracy similar to existing methods. In the mixture samples containing 40–80% tumor genomic DNA, SNPfilter yielded prediction sensitivity superior to existing methods. Thus, SNPfilter provides a powerful tool for discovery of clinically relevant somatic aberrations in tumor genomes.
2011-12-30 | GSE34754 | GEO
Project description:subpopulation of breat cancer using gene expression data and clinical data 311 dual channel gene expression data
2006-06-28 | E-GEOD-2845 | biostudies-arrayexpress