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Sci Rep ; 6: 32523, 2016 09 06.
Article in English | MEDLINE | ID: mdl-27597445

ABSTRACT

Cancer stem cells (CSCs), or cancer cells with stem cell-like properties, generally exhibit drug resistance and have highly potent cancer inducing capabilities. Genome-wide expression data collected at public repositories over the last few years provide excellent material for studies that can lead to insights concerning the molecular and functional characteristics of CSCs. Here, we conducted functional genomic studies of CSC based on fourteen PCA-screened high quality public CSC whole genome gene expression datasets and, as control, four high quality non-stem-like cancer cell and non-cancerous stem cell datasets from the Gene Expression Omnibus database. A total of 6,002 molecular signatures were taken from the Molecular Signatures Database and used to characterize the datasets, which, under two-way hierarchical clustering, formed three genotypes. Type 1, consisting of mainly glia CSCs, had significantly enhanced proliferation, and significantly suppressed epithelial-mesenchymal transition (EMT), related functions. Type 2, mainly breast CSCs, had significantly enhanced EMT, but not proliferation, related functions. Type 3, composed of ovarian, prostate, and colon CSCs, had significantly suppressed proliferation related functions and mixed expressions on EMT related functions.


Subject(s)
Epithelial-Mesenchymal Transition/genetics , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , Cell Proliferation , Cluster Analysis , Databases, Genetic , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Gene Ontology , Genotype , Humans , Principal Component Analysis
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