<HashMap><database>ENA</database><scores/><additional><omics_type>Genomics</omics_type><omics_type>Multiomics</omics_type><center_name>Benz Lab, Buck Institute of Age Research</center_name><full_dataset_link>https://www.ebi.ac.uk/ena/browser/view/PRJNA102107</full_dataset_link><scientific_name>Homo sapiens</scientific_name><long_description>To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, DNA samples from matched ER+ invasive breast cancers diagnosed in either young (70) women were analyzed with aCGH Keywords: biomarker identification Overall design: ER+ breast cancers collected from either young or old women, well matched for other clinical parameters were analyzed using aCGH. Age associated genomic differences were assayed.</long_description><tag>xref:PubMed:17850661</tag><repository>ENA</repository></additional><is_claimable>false</is_claimable><name>Homo sapiens</name><description>aCGH data from age-dichotomized ER+ breast tumors</description><dates><last_updated>2025-09-24</last_updated><first_public>2014-02-11</first_public></dates><accession>PRJNA102107</accession><cross_references><GEO>GSE8801</GEO><taxon>9606</taxon><PubMed>17850661</PubMed></cross_references></HashMap>