<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(2)</volume><submitter>Lin J</submitter><journal>Genes &amp; diseases</journal><pagination>101346</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11625316</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Anoikis-related gene signature associates with the immune infiltration and predicts the prognosis of glioma patients.</pubmed_title><pmcid>PMC11625316</pmcid><pubmed_authors>Xia Y</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Tan X</pubmed_authors><pubmed_authors>Yang L</pubmed_authors><pubmed_authors>Hao L</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Lin J</pubmed_authors><pubmed_authors>Zhao K</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors><pubmed_authors>Wu LL</pubmed_authors><pubmed_authors>Wu X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Anoikis-related gene signature associates with the immune infiltration and predicts the prognosis of glioma patients.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-06T22:08:23.676Z</modification><creation>2025-04-03T23:55:45.881Z</creation></dates><accession>S-EPMC11625316</accession><cross_references><pubmed>39649846</pubmed><doi>10.1016/j.gendis.2024.101346</doi></cross_references></HashMap>