Details

Autor(en) / Beteiligte

• White, K.
• Connor, K.
• Meylan, M.
• Bougoüin, A.
• Salvucci, M.
• Bielle, F.
• O’Farrell, A.C.
• Sweeney, K.
• Weng, L.
• Bergers, G.
• Dicker, P.
• Ashley, D.M.
• Lipp, E.S.
• Low, J.T.
• Zhao, J.
• Wen, P.
• Prins, R.
• Verreault, M.
• Idbaih, A.
• Biswas, A.
• Prehn, J.H.M.
• Lambrechts, D.
• Arijs, I.
• Lodi, F.
• Dilcan, G.
• Lamfers, M.
• Leenstra, S.
• Fabro, F.
• Ntafoulis, I.
• Kros, J.M.
• Cryan, J.
• Brett, F.
• Quissac, E.
• Beausang, A.
• MacNally, S.
• O’Halloran, P.
• Clerkin, J.
• Bacon, O.
• Kremer, A.
• Chi Yen, R.T.
• Varn, F.S.
• Verhaak, R.G.W.
• Sautès-Fridman, C.
• Fridman, W.H.
• Byrne, A.T.

Titel

Identification, validation and biological characterisation of novel glioblastoma tumour microenvironment subtypes: implications for precision immunotherapy

Ist Teil von

• Annals of oncology, 2023-03, Vol.34 (3), p.300-314

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• New precision medicine therapies are urgently required for glioblastoma (GBM). However, to date, efforts to subtype patients based on molecular profiles have failed to direct treatment strategies. We hypothesised that interrogation of the GBM tumour microenvironment (TME) and identification of novel TME-specific subtypes could inform new precision immunotherapy treatment strategies. A refined and validated microenvironment cell population (MCP) counter method was applied to >800 GBM patient tumours (GBM-MCP-counter). Specifically, partition around medoids (PAM) clustering of GBM-MCP-counter scores in the GLIOTRAIN discovery cohort identified three novel patient clusters, uniquely characterised by TME composition, functional orientation markers and immune checkpoint proteins. Validation was carried out in three independent GBM-RNA-seq datasets. Neoantigen, mutational and gene ontology analysis identified mutations and uniquely altered pathways across subtypes. The longitudinal Glioma Longitudinal AnalySiS (GLASS) cohort and three immunotherapy clinical trial cohorts [treatment with neoadjuvant/adjuvant anti-programmed cell death protein 1 (PD-1) or PSVRIPO] were further interrogated to assess subtype alterations between primary and recurrent tumours and to assess the utility of TME classifiers as immunotherapy biomarkers. TMEHigh tumours (30%) displayed elevated lymphocyte, myeloid cell immune checkpoint, programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 transcripts. TMEHigh/mesenchymal+ patients featured tertiary lymphoid structures. TMEMed (46%) tumours were enriched for endothelial cell gene expression profiles and displayed heterogeneous immune populations. TMELow (24%) tumours were manifest as an ‘immune-desert’ group. TME subtype transitions upon recurrence were identified in the longitudinal GLASS cohort. Assessment of GBM immunotherapy trial datasets revealed that TMEHigh patients receiving neoadjuvant anti-PD-1 had significantly increased overall survival (P = 0.04). Moreover, TMEHigh patients treated with adjuvant anti-PD-1 or oncolytic virus (PVSRIPO) showed a trend towards improved survival. We have established a novel TME-based classification system for application in intracranial malignancies. TME subtypes represent canonical ‘termini a quo’ (starting points) to support an improved precision immunotherapy treatment approach. •Studying the IDHwt GBM tumour microenvironment (TME) transcriptome reveals three distinct GBM subtypes: TMEHigh, TMEMed, TMELow.•Novel TME subtypes are dynamic and evolve across primary and recurrent GBMs.•Interrogation of retrospective trial datasets suggest patient response to immunotherapies could be TME subtype specific.•TMEHigh, Med, Low GBMs manifest specific vulnerabilities which may direct novel combinatorial treatment strategies.•In the future, patient assignment to TME subtypes may support precision immunotherapy treatment in IDHwt GBM.