Yu Fang, Jiwoong Kim, Zachary J Thompson, Youngchul Kim, Harshan Ravi, Asim M Mazin, Carlos M Moran Segura, Jonathan V Nguyen, Robert J Macaulay, Filippo Veglia, Reid C Thompson, Sajeel A Chowdhary, Kathleen M Egan, Natarajan Raghunand
{"title":"Immune subtypes and survival in patients with primary glioma.","authors":"Yu Fang, Jiwoong Kim, Zachary J Thompson, Youngchul Kim, Harshan Ravi, Asim M Mazin, Carlos M Moran Segura, Jonathan V Nguyen, Robert J Macaulay, Filippo Veglia, Reid C Thompson, Sajeel A Chowdhary, Kathleen M Egan, Natarajan Raghunand","doi":"10.1093/noajnl/vdag257","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The tumor microenvironment (TME) is a critical determinant of glioma response to therapies, including immunotherapy. We have classified the immune TME of gliomas by multiplex immunofluorescence (mIF).</p><p><strong>Methods: </strong>Tissue taken at initial resection from 354 patients with newly diagnosed glioma grades 2-4 were analyzed using 3 mIF panels of markers for T, B, and myeloid cells. Tumor cores were characterized by the relative abundances of: (i) 15 primary immune phenotypes, (ii) 96 secondary immune phenotypes, and (iii) 29 biologically meaningful multi-marker immune phenotypes.</p><p><strong>Results: </strong>Unsupervised cluster analysis of WHO grade 4 diffuse gliomas revealed four subtypes α, β, γ, and δ that were internally reproducible. Immune subtype α was characterized by high abundance of antigen-presenting cells (APCs) and low levels of MHC II<sup>-</sup> monocytes. Subtype β was high in regulatory T cells and myeloid cells, but low in lymphocytes with effector functions. Subtype γ displayed high abundance of immune cell phenotypes, particularly lymphocytes with effector or helper functions. Subtype δ was low in immune phenotypes, with poorer outcomes. Grade 3 tumors could also be classified into α, β, γ, and δ subtypes, indicating generalizability of these immune TME subtypes across high-grade gliomas. Additionally, grade 2 tumors could be classified into subtypes ε, ρ and τ identified in grade 3 tumors.</p><p><strong>Conclusions: </strong>We have identified internally reproducible criteria for classifying gliomas according to the immune microenvironment, findings that could aid our understanding of the natural progression of low- and high-grade gliomas and inform the rational application of immune-oncologic therapeutic interventions.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":"8 1","pages":"vdag257"},"PeriodicalIF":4.6000,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13685793/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/noajnl/vdag257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The tumor microenvironment (TME) is a critical determinant of glioma response to therapies, including immunotherapy. We have classified the immune TME of gliomas by multiplex immunofluorescence (mIF).
Methods: Tissue taken at initial resection from 354 patients with newly diagnosed glioma grades 2-4 were analyzed using 3 mIF panels of markers for T, B, and myeloid cells. Tumor cores were characterized by the relative abundances of: (i) 15 primary immune phenotypes, (ii) 96 secondary immune phenotypes, and (iii) 29 biologically meaningful multi-marker immune phenotypes.
Results: Unsupervised cluster analysis of WHO grade 4 diffuse gliomas revealed four subtypes α, β, γ, and δ that were internally reproducible. Immune subtype α was characterized by high abundance of antigen-presenting cells (APCs) and low levels of MHC II- monocytes. Subtype β was high in regulatory T cells and myeloid cells, but low in lymphocytes with effector functions. Subtype γ displayed high abundance of immune cell phenotypes, particularly lymphocytes with effector or helper functions. Subtype δ was low in immune phenotypes, with poorer outcomes. Grade 3 tumors could also be classified into α, β, γ, and δ subtypes, indicating generalizability of these immune TME subtypes across high-grade gliomas. Additionally, grade 2 tumors could be classified into subtypes ε, ρ and τ identified in grade 3 tumors.
Conclusions: We have identified internally reproducible criteria for classifying gliomas according to the immune microenvironment, findings that could aid our understanding of the natural progression of low- and high-grade gliomas and inform the rational application of immune-oncologic therapeutic interventions.