<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/GSE326nnn/GSE326397/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</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=GSE326397</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A study for intratumoral heterogeneity of glioblastoma [scRNA-seq]</name><description>Intratumoral heterogeneity (ITH) is a key driver of therapy resistance in glioblastoma (GBM). This study established a five-gene signature-based gITH classifier through multi-omics analysis, demonstrating robust prognostic predictive value. High-gITH tumors exhibited enhanced molecular complexity, with PDLIM4 identified as the central regulator showing strong correlations with stem-like properties and poor clinical outcomes. Functional validation confirmed that PDLIM4 knockdown suppressed ITH and tumor progression. Our work not only establishes a transcriptome-based quantification framework for GBM heterogeneity, but also reveals PDLIM4 as a promising therapeutic target, offering novel precision medicine strategies.</description><dates><publication>2026/04/02</publication></dates><accession>GSE326397</accession><cross_references><GSM>GSM9630417</GSM><GSM>GSM9630415</GSM><GPL>24247</GPL><GSE>326397</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>