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<pubDate>Thu, 21 Aug 2008 01:15:07 BST</pubDate>


	<title>CiteULike: giovanni's Zhu</title>
	<description>CiteULike: giovanni's Zhu</description>


	<link>http://www.citeulike.org/user/giovanni/author/Zhu</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/3033534"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/2762166"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/2308342"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/2090184"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/1793266"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/941941"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/882382"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/902975"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/giovanni/article/241639"/>

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<item rdf:about="http://www.citeulike.org/user/giovanni/article/3033534">
    <title>Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.</title>
    <link>http://www.citeulike.org/user/giovanni/article/3033534</link>
    <description>&lt;i&gt;Nature medicine (20 July 2008)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.</description>
    <dc:title>Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.</dc:title>

    <dc:creator></dc:creator>
    <dc:creator>Kerby Shedden</dc:creator>
    <dc:creator>Jeremy M G Taylor</dc:creator>
    <dc:creator>Steven A Enkemann</dc:creator>
    <dc:creator>Ming-Sound Tsao</dc:creator>
    <dc:creator>Timothy J Yeatman</dc:creator>
    <dc:creator>William L Gerald</dc:creator>
    <dc:creator>Steven Eschrich</dc:creator>
    <dc:creator>Igor Jurisica</dc:creator>
    <dc:creator>Thomas J Giordano</dc:creator>
    <dc:creator>David E Misek</dc:creator>
    <dc:creator>Andrew C Chang</dc:creator>
    <dc:creator>Chang Qi Zhu</dc:creator>
    <dc:creator>Daniel Strumpf</dc:creator>
    <dc:creator>Samir Hanash</dc:creator>
    <dc:creator>Frances A Shepherd</dc:creator>
    <dc:creator>Keyue Ding</dc:creator>
    <dc:creator>Lesley Seymour</dc:creator>
    <dc:creator>Katsuhiko Naoki</dc:creator>
    <dc:creator>Nathan Pennell</dc:creator>
    <dc:creator>Barbara Weir</dc:creator>
    <dc:creator>Roel Verhaak</dc:creator>
    <dc:creator>Christine Ladd-Acosta</dc:creator>
    <dc:creator>Todd Golub</dc:creator>
    <dc:creator>Michael Gruidl</dc:creator>
    <dc:creator>Anupama Sharma</dc:creator>
    <dc:creator>Janos Szoke</dc:creator>
    <dc:creator>Maureen Zakowski</dc:creator>
    <dc:creator>Valerie Rusch</dc:creator>
    <dc:creator>Mark Kris</dc:creator>
    <dc:creator>Agnes Viale</dc:creator>
    <dc:creator>Noriko Motoi</dc:creator>
    <dc:creator>William Travis</dc:creator>
    <dc:creator>Barbara Conley</dc:creator>
    <dc:creator>Venkatraman E Seshan</dc:creator>
    <dc:creator>Matthew Meyerson</dc:creator>
    <dc:creator>Rork Kuick</dc:creator>
    <dc:creator>Kevin K Dobbin</dc:creator>
    <dc:creator>Tracy Lively</dc:creator>
    <dc:creator>James W Jacobson</dc:creator>
    <dc:creator>David G Beer</dc:creator>
    <dc:creator>Kerby Shedden</dc:creator>
    <dc:creator>Jeremy M G Taylor</dc:creator>
    <dc:creator>Steven A Enkemann</dc:creator>
    <dc:creator>Ming-Sound Tsao</dc:creator>
    <dc:creator>Timothy J Yeatman</dc:creator>
    <dc:creator>William L Gerald</dc:creator>
    <dc:creator>Steven Eschrich</dc:creator>
    <dc:creator>Igor Jurisica</dc:creator>
    <dc:creator>Thomas J Giordano</dc:creator>
    <dc:creator>David E Misek</dc:creator>
    <dc:creator>Andrew C Chang</dc:creator>
    <dc:creator>Chang Qi Zhu</dc:creator>
    <dc:creator>Daniel Strumpf</dc:creator>
    <dc:creator>Samir Hanash</dc:creator>
    <dc:creator>Frances A Shepherd</dc:creator>
    <dc:creator>Keyue Ding</dc:creator>
    <dc:creator>Lesley Seymour</dc:creator>
    <dc:creator>Katsuhiko Naoki</dc:creator>
    <dc:creator>Nathan Pennell</dc:creator>
    <dc:creator>Barbara Weir</dc:creator>
    <dc:creator>Roel Verhaak</dc:creator>
    <dc:creator>Christine Ladd-Acosta</dc:creator>
    <dc:creator>Todd Golub</dc:creator>
    <dc:creator>Michael Gruidl</dc:creator>
    <dc:creator>Anupama Sharma</dc:creator>
    <dc:creator>Janos Szoke</dc:creator>
    <dc:creator>Maureen Zakowski</dc:creator>
    <dc:creator>Valerie Rusch</dc:creator>
    <dc:creator>Mark Kris</dc:creator>
    <dc:creator>Agnes Viale</dc:creator>
    <dc:creator>Noriko Motoi</dc:creator>
    <dc:creator>William Travis</dc:creator>
    <dc:creator>Barbara Conley</dc:creator>
    <dc:creator>Venkatraman E Seshan</dc:creator>
    <dc:creator>Matthew Meyerson</dc:creator>
    <dc:creator>Rork Kuick</dc:creator>
    <dc:creator>Kevin K Dobbin</dc:creator>
    <dc:creator>Tracy Lively</dc:creator>
    <dc:creator>James W Jacobson</dc:creator>
    <dc:creator>David G Beer</dc:creator>
    <dc:identifier>doi:10.1038/nm.1790</dc:identifier>
    <dc:source>Nature medicine (20 July 2008)</dc:source>
    <dc:date>2008-07-22T19:55:30-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature medicine</prism:publicationName>
    <prism:issn>1546-170X</prism:issn>
    <prism:category>class</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/2762166">
    <title>Mapping the Genetic Architecture of Gene Expression in Human Liver</title>
    <link>http://www.citeulike.org/user/giovanni/article/2762166</link>
    <description>&lt;i&gt;PLoS Biology, Vol. 6, No. 5. (1 May 2008), e107.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Genetic variants that are associated with common human diseases do not lead directly to disease, but instead act on intermediate, molecular phenotypes that in turn induce changes in higher-order disease traits. Therefore, identifying the molecular phenotypes that vary in response to changes in DNA and that also associate with changes in disease traits has the potential to provide the functional information required to not only identify and validate the susceptibility genes that are directly affected by changes in DNA, but also to understand the molecular networks in which such genes operate and how changes in these networks lead to changes in disease traits. Toward that end, we profiled more than 39,000 transcripts and we genotyped 782,476 unique single nucleotide polymorphisms (SNPs) in more than 400 human liver samples to characterize the genetic architecture of gene expression in the human liver, a metabolically active tissue that is important in a number of common human diseases, including obesity, diabetes, and atherosclerosis. This genome-wide association study of gene expression resulted in the detection of more than 6,000 associations between SNP genotypes and liver gene expression traits, where many of the corresponding genes identified have already been implicated in a number of human diseases. The utility of these data for elucidating the causes of common human diseases is demonstrated by integrating them with genotypic and expression data from other human and mouse populations. This provides much-needed functional support for the candidate susceptibility genes being identified at a growing number of genetic loci that have been identified as key drivers of disease from genome-wide association studies of disease. By using an integrative genomics approach, we highlight how the gene RPS26 and not ERBB3 is supported by our data as the most likely susceptibility gene for a novel type 1 diabetes locus recently identified in a large-scale, genome-wide association study. We also identify SORT1 and CELSR2 as candidate susceptibility genes for a locus recently associated with coronary artery disease and plasma low-density lipoprotein cholesterol levels in the process.</description>
    <dc:title>Mapping the Genetic Architecture of Gene Expression in Human Liver</dc:title>

    <dc:creator>Eric Schadt</dc:creator>
    <dc:creator>Cliona Molony</dc:creator>
    <dc:creator>Eugene Chudin</dc:creator>
    <dc:creator>Ke Hao</dc:creator>
    <dc:creator>Xia Yang</dc:creator>
    <dc:creator>Pek Lum</dc:creator>
    <dc:creator>Andrew Kasarskis</dc:creator>
    <dc:creator>Bin Zhang</dc:creator>
    <dc:creator>Susanna Wang</dc:creator>
    <dc:creator>Christine Suver</dc:creator>
    <dc:creator>Jun Zhu</dc:creator>
    <dc:creator>Joshua Millstein</dc:creator>
    <dc:creator>Solveig Sieberts</dc:creator>
    <dc:creator>John Lamb</dc:creator>
    <dc:creator>Debraj Guhathakurta</dc:creator>
    <dc:creator>Jonathan Derry</dc:creator>
    <dc:creator>John Storey</dc:creator>
    <dc:creator>Iliana Avila-Campillo</dc:creator>
    <dc:creator>Mark Kruger</dc:creator>
    <dc:creator>Jason Johnson</dc:creator>
    <dc:creator>Carol Rohl</dc:creator>
    <dc:creator>Atila van Nas</dc:creator>
    <dc:creator>Margarete Mehrabian</dc:creator>
    <dc:creator>Thomas Drake</dc:creator>
    <dc:creator>Aldons Lusis</dc:creator>
    <dc:creator>Ryan Smith</dc:creator>
    <dc:creator>Peter Guengerich</dc:creator>
    <dc:creator>Stephen Strom</dc:creator>
    <dc:creator>Erin Schuetz</dc:creator>
    <dc:creator>Thomas Rushmore</dc:creator>
    <dc:creator>Roger Ulrich</dc:creator>
    <dc:identifier>doi:10.1371/journal.pbio.0060107#special</dc:identifier>
    <dc:source>PLoS Biology, Vol. 6, No. 5. (1 May 2008), e107.</dc:source>
    <dc:date>2008-05-06T17:50:07-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>PLoS Biology</prism:publicationName>
    <prism:volume>6</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>e107</prism:startingPage>
    <prism:category>genetics_genomics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/2308342">
    <title>An RNAi-based approach identifies molecules required for glutamatergic and GABAergic synapse development.</title>
    <link>http://www.citeulike.org/user/giovanni/article/2308342</link>
    <description>&lt;i&gt;Neuron, Vol. 53, No. 2. (18 January 2007), pp. 217-232.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We report the results of a genetic screen to identify molecules important for synapse formation and/or maintenance. siRNAs were used to decrease the expression of candidate genes in neurons, and synapse development was assessed. We surveyed 22 cadherin family members and demonstrated distinct roles for cadherin-11 and cadherin-13 in synapse development. Our screen also revealed roles for the class 4 Semaphorins Sema4B and Sema4D in the development of glutamatergic and/or GABAergic synapses. We found that Sema4D affects the formation of GABAergic, but not glutamatergic, synapses. Our screen also identified the activity-regulated small GTPase Rem2 as a regulator of synapse development. A known calcium channel modulator, Rem2 may function as part of a homeostatic mechanism that controls synapse number. These experiments establish the feasibility of RNAi screens to characterize the mechanisms that control mammalian neuronal development and to identify components of the genetic program that regulate synapse formation and/or maintenance.</description>
    <dc:title>An RNAi-based approach identifies molecules required for glutamatergic and GABAergic synapse development.</dc:title>

    <dc:creator>S Paradis</dc:creator>
    <dc:creator>DB Harrar</dc:creator>
    <dc:creator>Y Lin</dc:creator>
    <dc:creator>AC Koon</dc:creator>
    <dc:creator>JL Hauser</dc:creator>
    <dc:creator>EC Griffith</dc:creator>
    <dc:creator>L Zhu</dc:creator>
    <dc:creator>LF Brass</dc:creator>
    <dc:creator>C Chen</dc:creator>
    <dc:creator>ME Greenberg</dc:creator>
    <dc:identifier>doi:10.1016/j.neuron.2006.12.012</dc:identifier>
    <dc:source>Neuron, Vol. 53, No. 2. (18 January 2007), pp. 217-232.</dc:source>
    <dc:date>2008-01-30T19:55:56-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:issn>0896-6273</prism:issn>
    <prism:volume>53</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>217</prism:startingPage>
    <prism:endingPage>232</prism:endingPage>
    <prism:category>drg</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/2090184">
    <title>Phosphorylation of transcriptional coactivator peroxisome proliferator-activated receptor (PPAR)-binding protein (PBP). Stimulation of transcriptional regulation by mitogen-activated protein kinase</title>
    <link>http://www.citeulike.org/user/giovanni/article/2090184</link>
    <description>&lt;i&gt;J Biol Chem, Vol. 277, No. 50. (2002), pp. 48745-54.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Peroxisome proliferator-activated receptor (PPAR)-binding protein (PBP) is an important coactivator for PPARgamma and other transcription factors. PBP is an integral component of a multiprotein thyroid hormone receptor-associated protein (TRAP)/vitamin D(3) receptor-interacting protein (DRIP)/activator-recruited cofactor (ARC) complex required for transcriptional activity. To study the regulation of PBP by cellular signaling pathways, we identified the phosphorylation sites of PBP. Using a combination of in vitro and in vivo approaches and mutagenesis of PBP phosphorylation sites, we identified six phosphorylation sites on PBP: one exclusive protein kinase A (PKA) phosphorylation site at serine 656, two protein kinase C (PKC) sites at serine 796 and serine 1345, a common PKA/PKC site at serine 756, and two extracellular signal-regulated kinase 2 sites of the mitogen-activated protein kinase (MAPK) family at threonine 1017 and threonine 1444. Binding of PBP to PPARgamma1 or retinoid-X-receptor for 9-cis-retinoic acid (RXR) is independent of their phosphorylation states, implying no changes in protein-protein interaction after modification by phosphorylation. Overexpression of RafBXB, an activated upstream kinase of the MAPK signal transduction pathway, exerts a significant additive inductive effect on PBP coactivator function. This effect is significantly diminished by overexpression of RafBXB301, a dominant negative mutant of RafBXB. These results identify phosphorylation as a regulatory modification event of PBP and demonstrate that PBP phosphorylation by Raf/MEK/MAPK cascade exerts a positive effect on PBP coactivator function. The functional role of PKA and PKC phosphorylation sites in PBP remains to be elucidated.</description>
    <dc:title>Phosphorylation of transcriptional coactivator peroxisome proliferator-activated receptor (PPAR)-binding protein (PBP). Stimulation of transcriptional regulation by mitogen-activated protein kinase</dc:title>

    <dc:creator>P Misra</dc:creator>
    <dc:creator>ED Owuor</dc:creator>
    <dc:creator>W Li</dc:creator>
    <dc:creator>S Yu</dc:creator>
    <dc:creator>C Qi</dc:creator>
    <dc:creator>K Meyer</dc:creator>
    <dc:creator>YJ Zhu</dc:creator>
    <dc:creator>MS Rao</dc:creator>
    <dc:creator>AN Kong</dc:creator>
    <dc:creator>JK Reddy</dc:creator>
    <dc:source>J Biol Chem, Vol. 277, No. 50. (2002), pp. 48745-54.</dc:source>
    <dc:date>2007-12-11T15:06:52-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>J Biol Chem</prism:publicationName>
    <prism:volume>277</prism:volume>
    <prism:number>50</prism:number>
    <prism:startingPage>48745</prism:startingPage>
    <prism:endingPage>54</prism:endingPage>
    <prism:category>endnote</prism:category>
    <prism:category>frda</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/1793266">
    <title>NR4A Orphan Nuclear Receptors Modulate Insulin Action and the Glucose Transport System: POTENTIAL ROLE IN INSULIN RESISTANCE</title>
    <link>http://www.citeulike.org/user/giovanni/article/1793266</link>
    <description>&lt;i&gt;J. Biol. Chem., Vol. 282, No. 43. (26 October 2007), pp. 31525-31533.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;After observing that expression of two NR4A orphan nuclear receptors, NR4A3 and NR4A1, was altered by insulin in cDNA microarray analyses of human skeletal muscle, we studied whether these receptors could modulate insulin sensitivity. We found that both NR4A3 and NR4A1 were induced by insulin and by thiazolidinedione drugs (pioglitazone and troglitazone) in 3T3-L1 adipocytes. Furthermore, gene expression of NR4A3 and NR4A1 was reduced in skeletal muscles and adipose tissues from multiple rodent models of insulin resistance. To determine whether NR4A3 could modulate insulin sensitivity, 3T3-L1 adipocytes were stably transduced with NR4A3 or LacZ (control) lentiviral vectors. Compared with LacZ expressing cells, hyperexpression of NR4A3 increased the ability of insulin to augment glucose transport activity, and the mechanism involved increased recruitment of GLUT4 glucose transporters to the plasma membrane. NR4A3 hyperexpression also led to an increase in insulin-mediated tyrosine phosphorylation of insulin receptor substrate-1 as well as Akt phosphorylation. Suppression of NR4A3 using lentiviral short hairpin RNA constructs reduced the ability of insulin to stimulate glucose transport and phosphorylate Insulin receptor substrate-1 and Akt. Thus, NR4A3 and NR4A1 are attractive novel therapeutic targets for potential amelioration of insulin resistance, and treatment and prevention of type 2 diabetes and the metabolic syndrome. 10.1074/jbc.M701132200</description>
    <dc:title>NR4A Orphan Nuclear Receptors Modulate Insulin Action and the Glucose Transport System: POTENTIAL ROLE IN INSULIN RESISTANCE</dc:title>

    <dc:creator>Yuchang Fu</dc:creator>
    <dc:creator>Liehong Luo</dc:creator>
    <dc:creator>Nanlan Luo</dc:creator>
    <dc:creator>Xiaolin Zhu</dc:creator>
    <dc:creator>Timothy Garvey</dc:creator>
    <dc:identifier>doi:10.1074/jbc.M701132200</dc:identifier>
    <dc:source>J. Biol. Chem., Vol. 282, No. 43. (26 October 2007), pp. 31525-31533.</dc:source>
    <dc:date>2007-10-20T13:33:23-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Biol. Chem.</prism:publicationName>
    <prism:volume>282</prism:volume>
    <prism:number>43</prism:number>
    <prism:startingPage>31525</prism:startingPage>
    <prism:endingPage>31533</prism:endingPage>
    <prism:category>insulin</prism:category>
    <prism:category>nr4</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/941941">
    <title>Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target.</title>
    <link>http://www.citeulike.org/user/giovanni/article/941941</link>
    <description>&lt;i&gt;Proc Natl Acad Sci U S A (7 November 2006)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Glioblastoma is the most common primary malignant brain tumor of adults and one of the most lethal of all cancers. Patients with this disease have a median survival of 15 months from the time of diagnosis despite surgery, radiation, and chemotherapy. New treatment approaches are needed. Recent works suggest that glioblastoma patients may benefit from molecularly targeted therapies. Here, we address the compelling need for identification of new molecular targets. Leveraging global gene expression data from two independent sets of clinical tumor samples (n = 55 and n = 65), we identify a gene coexpression module in glioblastoma that is also present in breast cancer and significantly overlaps with the &#34;metasignature&#34; for undifferentiated cancer. Studies in an isogenic model system demonstrate that this module is downstream of the mutant epidermal growth factor receptor, EGFRvIII, and that it can be inhibited by the epidermal growth factor receptor tyrosine kinase inhibitor Erlotinib. We identify ASPM (abnormal spindle-like microcephaly associated) as a key gene within this module and demonstrate its overexpression in glioblastoma relative to normal brain (or body tissues). Finally, we show that ASPM inhibition by siRNA-mediated knockdown inhibits tumor cell proliferation and neural stem cell proliferation, supporting ASPM as a potential molecular target in glioblastoma. Our weighted gene coexpression network analysis provides a blueprint for leveraging genomic data to identify key control networks and molecular targets for glioblastoma, and the principle eluted from our work can be applied to other cancers.</description>
    <dc:title>Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target.</dc:title>

    <dc:creator>S Horvath</dc:creator>
    <dc:creator>B Zhang</dc:creator>
    <dc:creator>M Carlson</dc:creator>
    <dc:creator>K V Lu</dc:creator>
    <dc:creator>S Zhu</dc:creator>
    <dc:creator>R M Felciano</dc:creator>
    <dc:creator>M F Laurance</dc:creator>
    <dc:creator>W Zhao</dc:creator>
    <dc:creator>S Qi</dc:creator>
    <dc:creator>Z Chen</dc:creator>
    <dc:creator>Y Lee</dc:creator>
    <dc:creator>A C Scheck</dc:creator>
    <dc:creator>L M Liau</dc:creator>
    <dc:creator>H Wu</dc:creator>
    <dc:creator>D H Geschwind</dc:creator>
    <dc:creator>P G Febbo</dc:creator>
    <dc:creator>H I Kornblum</dc:creator>
    <dc:creator>T F Cloughesy</dc:creator>
    <dc:creator>S F Nelson</dc:creator>
    <dc:creator>P S Mischel</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0608396103</dc:identifier>
    <dc:source>Proc Natl Acad Sci U S A (7 November 2006)</dc:source>
    <dc:date>2006-11-13T17:41:56-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Proc Natl Acad Sci U S A</prism:publicationName>
    <prism:issn>0027-8424</prism:issn>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/882382">
    <title>Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors.</title>
    <link>http://www.citeulike.org/user/giovanni/article/882382</link>
    <description>&lt;i&gt;N Engl J Med, Vol. 353, No. 19. (10 November 2005), pp. 2012-2024.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;BACKGROUND: The epidermal growth factor receptor (EGFR) is frequently amplified, overexpressed, or mutated in glioblastomas, but only 10 to 20 percent of patients have a response to EGFR kinase inhibitors. The mechanism of responsiveness of glioblastomas to these inhibitors is unknown. METHODS: We sequenced kinase domains in the EGFR and human EGFR type 2 (Her2/neu) genes and analyzed the expression of EGFR, EGFR deletion mutant variant III (EGFRvIII), and the tumor-suppressor protein PTEN in recurrent malignant gliomas from patients who had received EGFR kinase inhibitors. We determined the molecular correlates of clinical response, validated them in an independent data set, and identified effects of the molecular abnormalities in vitro. RESULTS: Of 49 patients with recurrent malignant glioma who were treated with EGFR kinase inhibitors, 9 had tumor shrinkage of at least 25 percent. Pretreatment tissue was available for molecular analysis from 26 patients, 7 of whom had had a response and 19 of whom had rapid progression during therapy. No mutations in EGFR or Her2/neu kinase domains were detected in the tumors. Coexpression of EGFRvIII and PTEN was significantly associated with a clinical response (P&#60;0.001; odds ratio, 51; 95 percent confidence interval, 4 to 669). These findings were validated in 33 patients who received similar treatment for glioblastoma at a different institution (P=0.001; odds ratio, 40; 95 percent confidence interval, 3 to 468). In vitro, coexpression of EGFRvIII and PTEN sensitized glioblastoma cells to erlotinib. CONCLUSIONS: Coexpression of EGFRvIII and PTEN by glioblastoma cells is associated with responsiveness to EGFR kinase inhibitors.</description>
    <dc:title>Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors.</dc:title>

    <dc:creator>IK Mellinghoff</dc:creator>
    <dc:creator>MY Wang</dc:creator>
    <dc:creator>I Vivanco</dc:creator>
    <dc:creator>DA Haas-Kogan</dc:creator>
    <dc:creator>S Zhu</dc:creator>
    <dc:creator>EQ Dia</dc:creator>
    <dc:creator>KV Lu</dc:creator>
    <dc:creator>K Yoshimoto</dc:creator>
    <dc:creator>JH Huang</dc:creator>
    <dc:creator>DJ Chute</dc:creator>
    <dc:creator>BL Riggs</dc:creator>
    <dc:creator>S Horvath</dc:creator>
    <dc:creator>LM Liau</dc:creator>
    <dc:creator>WK Cavenee</dc:creator>
    <dc:creator>PN Rao</dc:creator>
    <dc:creator>R Beroukhim</dc:creator>
    <dc:creator>TC Peck</dc:creator>
    <dc:creator>JC Lee</dc:creator>
    <dc:creator>WR Sellers</dc:creator>
    <dc:creator>D Stokoe</dc:creator>
    <dc:creator>M Prados</dc:creator>
    <dc:creator>TF Cloughesy</dc:creator>
    <dc:creator>CL Sawyers</dc:creator>
    <dc:creator>PS Mischel</dc:creator>
    <dc:identifier>doi:10.1056/NEJMoa051918</dc:identifier>
    <dc:source>N Engl J Med, Vol. 353, No. 19. (10 November 2005), pp. 2012-2024.</dc:source>
    <dc:date>2006-10-03T06:19:02-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>N Engl J Med</prism:publicationName>
    <prism:issn>1533-4406</prism:issn>
    <prism:volume>353</prism:volume>
    <prism:number>19</prism:number>
    <prism:startingPage>2012</prism:startingPage>
    <prism:endingPage>2024</prism:endingPage>
    <prism:category>biomarkers</prism:category>
    <prism:category>classifier</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/902975">
    <title>Linkage disequilibrium and haplotype diversity in the genes of the renin-angiotensin system: findings from the family blood pressure program</title>
    <link>http://www.citeulike.org/user/giovanni/article/902975</link>
    <description>&lt;i&gt;Genome Res, Vol. 13, No. 2. (2003), pp. 173-81.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Association studies of candidate genes with complex traits have generally used one or a few single nucleotide polymorphisms (SNPs), although variation in the extent of linkage disequilibrium (LD) within genes markedly influences the sensitivity and precision of association studies. The extent of LD and the underlying haplotype structure for most candidate genes are still unavailable. We sampled 193 blacks (African-Americans) and 160 whites (European-Americans) and estimated the intragenic LD and the haplotype structure in four genes of the renin-angiotensin system. We genotyped 25 SNPs, with all but one of the pairs spaced between 1 and 20 kb, thus providing resolution at small scale. The pattern of LD within a gene was very heterogeneous. Using a robust method to define haplotype blocks, blocks of limited haplotype diversity were identified at each locus; between these blocks, LD was lost owing to the history of recombination events. As anticipated, there was less LD among blacks, the number of haplotypes was substantially larger, and shorter haplotype segments were found, compared with whites. These findings have implications for candidate-gene association studies and indicate that variation between populations of European and African origin in haplotype diversity is characteristic of most genes.</description>
    <dc:title>Linkage disequilibrium and haplotype diversity in the genes of the renin-angiotensin system: findings from the family blood pressure program</dc:title>

    <dc:creator>X Zhu</dc:creator>
    <dc:creator>D Yan</dc:creator>
    <dc:creator>RS Cooper</dc:creator>
    <dc:creator>A Luke</dc:creator>
    <dc:creator>MA Ikeda</dc:creator>
    <dc:creator>YP Chang</dc:creator>
    <dc:creator>A Weder</dc:creator>
    <dc:creator>A Chakravarti</dc:creator>
    <dc:source>Genome Res, Vol. 13, No. 2. (2003), pp. 173-81.</dc:source>
    <dc:date>2006-10-18T01:45:23-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>Genome Res</prism:publicationName>
    <prism:volume>13</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>173</prism:startingPage>
    <prism:endingPage>81</prism:endingPage>
    <prism:category>linkage</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/giovanni/article/241639">
    <title>An integrative genomics approach to infer causal associations between gene expression and disease</title>
    <link>http://www.citeulike.org/user/giovanni/article/241639</link>
    <description>&lt;i&gt;Nature Genetics, Vol. 37, No. 7. (19 June 2005), pp. 710-717.&lt;/i&gt;</description>
    <dc:title>An integrative genomics approach to infer causal associations between gene expression and disease</dc:title>

    <dc:creator>Eric Schadt</dc:creator>
    <dc:creator>John Lamb</dc:creator>
    <dc:creator>Xia Yang</dc:creator>
    <dc:creator>Jun Zhu</dc:creator>
    <dc:creator>Steve Edwards</dc:creator>
    <dc:creator>Debraj Guhathakurta</dc:creator>
    <dc:creator>Solveig Sieberts</dc:creator>
    <dc:creator>Stephanie Monks</dc:creator>
    <dc:creator>Marc Reitman</dc:creator>
    <dc:creator>Chunsheng Zhang</dc:creator>
    <dc:creator>Pek Lum</dc:creator>
    <dc:creator>Amy Leonardson</dc:creator>
    <dc:creator>Rolf Thieringer</dc:creator>
    <dc:creator>Joseph Metzger</dc:creator>
    <dc:creator>Liming Yang</dc:creator>
    <dc:creator>John Castle</dc:creator>
    <dc:creator>Haoyuan Zhu</dc:creator>
    <dc:creator>Shera Kash</dc:creator>
    <dc:creator>Thomas Drake</dc:creator>
    <dc:creator>Alan Sachs</dc:creator>
    <dc:creator>Aldons Lusis</dc:creator>
    <dc:identifier>doi:10.1038/ng1589</dc:identifier>
    <dc:source>Nature Genetics, Vol. 37, No. 7. (19 June 2005), pp. 710-717.</dc:source>
    <dc:date>2005-07-01T19:25:52-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Nature Genetics</prism:publicationName>
    <prism:issn>1061-4036</prism:issn>
    <prism:volume>37</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>710</prism:startingPage>
    <prism:endingPage>717</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>snp</prism:category>
</item>



</rdf:RDF>

