<?xml version="1.0" encoding="UTF-8"?>

<rdf:RDF
   xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
   xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
   xmlns="http://purl.org/rss/1.0/"
   xmlns:dc="http://purl.org/dc/elements/1.1/"
   xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/"
   xmlns:dcterms="http://purl.org/dc/terms/"

>
<channel rdf:about="http://www.citeulike.org/about">
<pubDate>Wed, 20 Aug 2008 21:22:48 BST</pubDate>


	<title>CiteULike: jayster4 Baehner</title>
	<description>CiteULike: jayster4 Baehner</description>


	<link>http://www.citeulike.org/user/jayster4/author/Baehner</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
	<items>
    <rdf:Seq>
        <rdf:li rdf:resource="http://www.citeulike.org/user/jayster4/article/989152"/>

	</rdf:Seq>
	</items>
	</channel>


<item rdf:about="http://www.citeulike.org/user/jayster4/article/989152">
    <title>A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes</title>
    <link>http://www.citeulike.org/user/jayster4/article/989152</link>
    <description>&lt;i&gt;Cancer Cell, Vol. 10, No. 6. (December 2006), pp. 515-527.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;SummaryRecent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model &#34;system&#34; to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations.</description>
    <dc:title>A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes</dc:title>

    <dc:creator>Richard Neve</dc:creator>
    <dc:creator>Koei Chin</dc:creator>
    <dc:creator>Jane Fridlyand</dc:creator>
    <dc:creator>Jennifer Yeh</dc:creator>
    <dc:creator>Frederick Baehner</dc:creator>
    <dc:creator>Tea Fevr</dc:creator>
    <dc:creator>Laura Clark</dc:creator>
    <dc:creator>Nora Bayani</dc:creator>
    <dc:creator>Jean-Philippe Coppe</dc:creator>
    <dc:creator>Frances Tong</dc:creator>
    <dc:identifier>doi:10.1016/j.ccr.2006.10.008</dc:identifier>
    <dc:source>Cancer Cell, Vol. 10, No. 6. (December 2006), pp. 515-527.</dc:source>
    <dc:date>2006-12-11T23:57:48-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Cancer Cell</prism:publicationName>
    <prism:volume>10</prism:volume>
    <prism:number>6</prism:number>
    <prism:startingPage>515</prism:startingPage>
    <prism:endingPage>527</prism:endingPage>
    <prism:category>breast_cancer</prism:category>
</item>



</rdf:RDF>

