{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Angulo Barbara"],"species":["Homo sapiens"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-ECPF-GEOD-8569"],"project":["EurocanPlatform"],"abstract":["The success of targeted therapies creates a need to discriminate tumors accurately by their histological and genetic characteristics. Here, we used cDNA microarray analysis to identify gene expression profiles and single markers that recapitulate the pathological and genetic background (i.e., BRAF, EGFR, KRAS, LKB1, PIK3CA, and TP53 gene alterations) of non-small cell lung cancer (NSCLC). Gene expression profiles were determined for 6 normal lung tissues and 69 lung tumors from patients diagnosed with NSCLC. We performed an unsupervised hierarchical clustering with the most variably expressed transcript to investigate whether there was evidence for natural grouping samples based on similarity in gene expression profiles. We examined the relationship between the clusters of tumors and patie"],"repository":["biostudies-other"],"experiment_type":["transcription profiling by array"],"data_source":["EurocanPlatform"],"pubmed_authors":["Angulo Barbara","Sanchez-Cespedes Montserrat","Suarez-Gauthier Ana"],"additional_accession":[]},"is_claimable":false,"name":"Gene expression and lung tumors: screening for markers that discriminate tumor histology and genetic background","description":"The success of targeted therapies creates a need to discriminate tumors accurately by their histological and genetic characteristics. Here, we used cDNA microarray analysis to identify gene expression profiles and single markers that recapitulate the pathological and genetic background (i.e., BRAF, EGFR, KRAS, LKB1, PIK3CA, and TP53 gene alterations) of non-small cell lung cancer (NSCLC). Gene expression profiles were determined for 6 normal lung tissues and 69 lung tumors from patients diagnosed with NSCLC. We performed an unsupervised hierarchical clustering with the most variably expressed transcript to investigate whether there was evidence for natural grouping samples based on similarity in gene expression profiles. We examined the relationship between the clusters of tumors and patie","dates":{"release":"2016-04-14T14:44:28Z","modification":"2016-04-14T14:44:28Z","creation":"2016-04-14T14:44:28Z"},"accession":"S-ECPF-GEOD-8569","cross_references":{"GEO":["GSE8569"],"ArrayExpress":["E-GEOD-8569"],"EFO":["EFO_0003060","EFO_0000635"],"ArrayExpress files":["E-GEOD-8569"]}}