{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Wang Dong-Yu"],"species":["Homo sapiens"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-ECPF-GEOD-45725"],"project":["EurocanPlatform"],"abstract":["In our early study ([GEO Accession: GSE16987], [PMID: 21939527]), we have created a ClinicoMolecular Triad Classification (CMTC) to improve prediction and prognostication of breast cancer by using a training cohort contained 161 breast cancer patients (2003 to 2008). Here, a supplemental internal validation cohort contained 340 breast cancer patients was collected (2008 to 2010) for development of the CMTC. Total 340 fine-needle aspirates (FNA) specimens from breast tumors without replicate were collected and prepared for microarray examination. Finally, 284 invasive breast cancers were used in this study."],"repository":["biostudies-other"],"experiment_type":["transcription profiling by array"],"data_source":["EurocanPlatform"],"pubmed_authors":["Leong Wey","Wang Dong","Wang Dong-Yu"],"additional_accession":[]},"is_claimable":false,"name":"Internal validation cohort of breast cancers for development of ClinicoMolecular Triad Classification","description":"In our early study ([GEO Accession: GSE16987], [PMID: 21939527]), we have created a ClinicoMolecular Triad Classification (CMTC) to improve prediction and prognostication of breast cancer by using a training cohort contained 161 breast cancer patients (2003 to 2008). Here, a supplemental internal validation cohort contained 340 breast cancer patients was collected (2008 to 2010) for development of the CMTC. Total 340 fine-needle aspirates (FNA) specimens from breast tumors without replicate were collected and prepared for microarray examination. Finally, 284 invasive breast cancers were used in this study.","dates":{"release":"2016-04-14T14:23:03Z","modification":"2016-04-14T14:23:03Z","creation":"2016-04-14T14:23:03Z"},"accession":"S-ECPF-GEOD-45725","cross_references":{"GEO":["GSE45725"],"ArrayExpress":["E-GEOD-45725"],"EFO":["EFO_0000305","EFO_0002660"],"ArrayExpress files":["E-GEOD-45725"]}}