<HashMap><database>biostudies-other</database><scores/><additional><submitter>Moeckel S</submitter><pagination>e108632</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-ECPF-GEOD-51305</full_dataset_link><project>EurocanPlatform</project><abstract>High-grade gliomas are amongst the most deadly human tumors. Treatment results are overall disappointing. Nevertheless, in several trials around 20% of patients respond to therapy. Diagnostic strategies to identify those patients that will ultimately profit from a specific targeted therapy are urgently needed. Gene expression profiling of untreated tumors is a well established approach for identifying biomarkers or diagnostic signatures. However, reliable signatures predicting treatment response in gliomas do not exist. Here we suggest a novel strategy for developing diagnostic signatures. We postulate that predictive gene expression patterns emerge only after tumor cells have been treated with the agent in vitro. Moreover, we postulate that enriching specimens for tumor initiating cells s</abstract><repository>biostudies-other</repository><experiment_type>transcription profiling by array</experiment_type><data_source>EurocanPlatform</data_source><omics_type>Unknown</omics_type><volume>9</volume><journal>PloS one</journal><species>Homo sapiens</species><pubmed_authors>Spang R</pubmed_authors><pubmed_authors>Brawanski A</pubmed_authors><pubmed_authors>Bosserhoff AK</pubmed_authors><pubmed_authors>Seliger C</pubmed_authors><pubmed_authors>Bogdahn U</pubmed_authors><pubmed_authors>Meyer K</pubmed_authors><pubmed_authors>Hau P</pubmed_authors><pubmed_authors>Proescholdt M</pubmed_authors><pubmed_authors>Stangl C</pubmed_authors><pubmed_authors>Leukel P</pubmed_authors><pubmed_authors>Moeckel S</pubmed_authors><pubmed_authors>Heudorfer F</pubmed_authors><pubmed_authors>Riemenschneider MJ</pubmed_authors><pubmed_authors>Vollmann-Zwerenz A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Gene expression profiles of Sunitinib-treated but not untreated short-term serum-free cultures predict treatment response of human high-grade gliomas in vitro</name><description>High-grade gliomas are amongst the most deadly human tumors. Treatment results are overall disappointing. Nevertheless, in several trials around 20% of patients respond to therapy. Diagnostic strategies to identify those patients that will ultimately profit from a specific targeted therapy are urgently needed. Gene expression profiling of untreated tumors is a well established approach for identifying biomarkers or diagnostic signatures. However, reliable signatures predicting treatment response in gliomas do not exist. Here we suggest a novel strategy for developing diagnostic signatures. We postulate that predictive gene expression patterns emerge only after tumor cells have been treated with the agent in vitro. Moreover, we postulate that enriching specimens for tumor initiating cells s</description><dates><release>2016-04-14T14:30:48Z</release><publication>2014</publication><modification>2016-04-14T14:30:48Z</modification><creation>2016-04-14T14:30:48Z</creation></dates><accession>S-ECPF-GEOD-51305</accession><cross_references><GEO>GSE51305</GEO><ArrayExpress>E-GEOD-51305</ArrayExpress><EFO>EFO_0005543</EFO><EFO>EFO_0002660</EFO><ArrayExpress files>E-GEOD-51305</ArrayExpress files></cross_references></HashMap>