Predicting chemotherapy sensitivity profiles for breast cancer cell lines with and without stem cell-like features

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dc.citation.epage273en_US
dc.citation.issueNumber3en_US
dc.citation.spage268en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorIsbilen, M.en_US
dc.contributor.authorSenses, K. M.en_US
dc.contributor.authorGure, A. O.en_US
dc.date.accessioned2016-02-08T09:42:11Z
dc.date.available2016-02-08T09:42:11Z
dc.date.issued2013en_US
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.description.abstractOur current understanding of cancer-stem cells (CSCs) is that they are slow growing, generally mesenchymallike cells capable of generating tumors. Convincing evidence for the existence of such cells comes from recent lineage tracing experiments. CSCs have been reported as being resistant to conventional drug treatment and have been considered as being responsible for failure of chemotherapy. Recently, several databases aiming the genetic characterization of a large number of cancer cell lines have been made publicly available. In addition to gene expression data, these databases contain cytotoxicity information for all cell lines for a number of drugs as well. It is possible to classify known cell lines derived from a given tumor, based on how similar they are to CSCs, or in other words, to define their stem-ness, using gene-lists that define such cells. Using two such, independently generated, gene lists we found that breast cancer cell lines could be categorized into two distinct groups which we designate CSC-like and non-CSC-like. We then identified drugs to which the two groups were most sensitive to. We also generated sensitivity profiles for all drugs, within one such database, to identify chemotherapeutics with preferential action on breast cancer. We believe this is a straight-forward approach for swiftly identifying drugs that would selectively target a subpopulation of cells for any given tumor type. © 2013 Bentham Science Publishers.en_US
dc.identifier.issn1574-3624
dc.identifier.urihttp://hdl.handle.net/11693/21161
dc.language.isoEnglishen_US
dc.publisherBentham Science Publishers B.V.en_US
dc.source.titleCurrent Signal Transduction Therapyen_US
dc.subjectCanceren_US
dc.subjectCancer stem cellsen_US
dc.subjectChemotherapyen_US
dc.subjectCytotoxicityen_US
dc.subjectDatabase miningen_US
dc.subjectLapatiniben_US
dc.subjectLBW242en_US
dc.subjectTKI258en_US
dc.titlePredicting chemotherapy sensitivity profiles for breast cancer cell lines with and without stem cell-like featuresen_US
dc.typeArticleen_US

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