<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>177(1)</volume><submitter>Satgunaseelan L</submitter><funding>The University of Sydney</funding><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Brain tumour classification is a rapidly evolving field, with diagnostic evaluation integrating the latest in molecular testing techniques. As data in brain tumour registries and repositories are collected in real time, neuro-oncology researchers face clear challenges when analysing tumour cohorts diagnosed according to differing standards over time. This study aims to evaluate the impact of an evolving tumour classification system on both our institutional registry and widely used multi-institutional repositories in glioma translational research.&lt;h4>Methods&lt;/h4>Clinicopathological data, including molecular profiles, were obtained from the Sydney Brain Tumour Bank registry (1993-2025). We sourced available clinicopathological and molecular classification data from the Rembr</pubmed_abstract><journal>Journal of neuro-oncology</journal><pagination>6</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12920384</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Impact of an evolving classification system on diffuse glioma repositories: experience from the Sydney brain tumour bank.</pubmed_title><pmcid>PMC12920384</pmcid><pubmed_authors>Hallal SM</pubmed_authors><pubmed_authors>Alexander KL</pubmed_authors><pubmed_authors>Sim HW</pubmed_authors><pubmed_authors>Satgunaseelan L</pubmed_authors><pubmed_authors>Shivalingam B</pubmed_authors><pubmed_authors>Madani D</pubmed_authors><pubmed_authors>Gamage KK</pubmed_authors><pubmed_authors>Gorolay V</pubmed_authors><pubmed_authors>Xian E</pubmed_authors><pubmed_authors>Buckland ME</pubmed_authors><pubmed_authors>Mason S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of an evolving classification system on diffuse glioma repositories: experience from the Sydney brain tumour bank.</name><description>&lt;h4>Purpose&lt;/h4>Brain tumour classification is a rapidly evolving field, with diagnostic evaluation integrating the latest in molecular testing techniques. As data in brain tumour registries and repositories are collected in real time, neuro-oncology researchers face clear challenges when analysing tumour cohorts diagnosed according to differing standards over time. This study aims to evaluate the impact of an evolving tumour classification system on both our institutional registry and widely used multi-institutional repositories in glioma translational research.&lt;h4>Methods&lt;/h4>Clinicopathological data, including molecular profiles, were obtained from the Sydney Brain Tumour Bank registry (1993-2025). We sourced available clinicopathological and molecular classification data from the Rembr</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-09T11:42:23.68Z</modification><creation>2026-07-09T10:55:33.47Z</creation></dates><accession>S-EPMC12920384</accession><cross_references><pubmed>41712020</pubmed><doi>10.1007/s11060-026-05470-1</doi></cross_references></HashMap>