<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE271nnn/GSE271440/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE271440</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Robotic Generation and Kinetic Screening of Patient-Derived Glioblastoma Organoids Reveal Pharmaceutical Dynamics</name><description>Glioblastoma (GBM) presents a significant challenge in oncology due to its high heterogeneity and poor response to conventional therapies. Current preclinical models are highly variable, creating disparate patient-derived organoids. We developed a Robot-Directed Organoid Deposition (RODEO) system that reproducibly generates complex patient-derived GBM organoids for high-throughput screening. RODEO-GBM organoids recapitulate the cellular heterogeneity, specific tumor niches, and complex vascularization of GBM. Integrating tissue-embedded microsensors in RODEO-GBM organoids allowed us to screen 126 FDA-approved oncology drugs, on 1,638 patient-derived organoids, generating 105 data points in 96 hrs. Our screen revealed distinct kinetic patterns of drug responses, identifying transient as well as slow-acting compounds often overlooked by conventional methods. Slow-acting drugs preferentially targeted stem-like SOX2+ tumor cells, thus preserving peripheral cell populations. Comparative analysis on RODEO-Liver organoids showed that slow-acting drugs exhibit lower liver toxicity supporting a higher therapeutic index. Coupling RODEO with sensor-based kinetic screening provides critical new insights into pharmaceutical dynamics, paving the way for the identification of more effective treatments for GBM and other cancers.</description><dates><publication>2026/03/31</publication></dates><accession>GSE271440</accession><cross_references><GSM>GSM8376965</GSM><GSM>GSM8376967</GSM><GSM>GSM8376966</GSM><GSM>GSM8376968</GSM><GPL>30173</GPL><GSE>271440</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>