<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(1)</volume><submitter>Zhou Q</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Tertiary lymphoid structures (TLSs) correlate with improved survival in various cancers, but their prognostic significance and imaging correlations in glioblastoma (GBM) remain unclear. This study investigated the relationship between TLSs, survival outcomes, and imaging features in GBM patients.&lt;h4>Methods&lt;/h4>A retrospective analysis of 190 newly diagnosed GBM patients was conducted. TLSs were identified via hematoxylin-eosin staining, with maturity assessed by multiplex immunofluorescence (CD20/CD3/CD21/CD23) into mature (mTLSs) and immature (imTLSs) subgroups. Survival analysis used Kaplan-Meier method, and TLS predictive models were developed via logistic regression. Clinicopathological and VASARI imaging features were compared.&lt;h4>Results&lt;/h4>Of 190 cases, 85 (44.7</pubmed_abstract><journal>Neuro-oncology advances</journal><pagination>vdaf263</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12924633</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Tertiary lymphoid structures in glioblastoma: Association with multiparametric MRI imaging phenotypic features and patient survival.</pubmed_title><pmcid>PMC12924633</pmcid><pubmed_authors>Ke X</pubmed_authors><pubmed_authors>Zhou Q</pubmed_authors><pubmed_authors>Xue C</pubmed_authors><pubmed_authors>Kang J</pubmed_authors><pubmed_authors>Zhang B</pubmed_authors><pubmed_authors>Zhao Z</pubmed_authors><pubmed_authors>Man J</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Tertiary lymphoid structures in glioblastoma: Association with multiparametric MRI imaging phenotypic features and patient survival.</name><description>&lt;h4>Background&lt;/h4>Tertiary lymphoid structures (TLSs) correlate with improved survival in various cancers, but their prognostic significance and imaging correlations in glioblastoma (GBM) remain unclear. This study investigated the relationship between TLSs, survival outcomes, and imaging features in GBM patients.&lt;h4>Methods&lt;/h4>A retrospective analysis of 190 newly diagnosed GBM patients was conducted. TLSs were identified via hematoxylin-eosin staining, with maturity assessed by multiplex immunofluorescence (CD20/CD3/CD21/CD23) into mature (mTLSs) and immature (imTLSs) subgroups. Survival analysis used Kaplan-Meier method, and TLS predictive models were developed via logistic regression. Clinicopathological and VASARI imaging features were compared.&lt;h4>Results&lt;/h4>Of 190 cases, 85 (44.7</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan-Dec</publication><modification>2026-07-16T17:40:24.218Z</modification><creation>2026-07-09T11:08:45.921Z</creation></dates><accession>S-EPMC12924633</accession><cross_references><pubmed>41727339</pubmed><doi>10.1093/noajnl/vdaf263</doi></cross_references></HashMap>