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Updated: May 14, 2026

Isolation and Flow Cytometric Analysis of Glioma-infiltrating Peripheral Blood Mononuclear Cells
Published on: November 28, 2015
Microglia Reprogramming in Glioblastoma: Stem Cell-Derived Factors as Emerging Immunomodulators
Zahra Amiri1, Beatrice Federica Tremonti1, Alessandro Corsaro1
1Section of Pharmacology, Department of Internal Medicine, University of Genova, Viale Benedetto XV, 2, 16132 Genova, Italy.
Abstract:
Glioblastoma (GBM) remains one of the most challenging forms of cancer to treat, despite that extensive molecular profiling is now available. Indeed, intratumoral cellular heterogeneity, receptor redundancy, and adaptive resistance through compensatory signaling limit the impact of targeted therapies. Moreover, immunotherapies also underperform: checkpoint blockade and vaccine strategies did not obtain consistent benefits in a low mutational burden, poorly immunogenic tumor microenvironment (TME) dominated by immunosuppressive myeloid cells. In this article, we provide evidence that tumor-associated macrophages (TAMs), a form of CNS resident microglia and infiltrating macrophage, derived from bone marrow, adopt a spatially and transcriptionally distinct, non-binary continuum, shaped by tumor-derived signals and niche constraints, allowing glioma cells to resist to immune and pharmaceutical therapeutics. Metabolic rewiring, including hypoxia-linked glycolytic pressure, lactate signaling, and lipid-associated programs, determine immunosuppressive outputs and restrict plasticity, while epigenetic imprinting (DNA methylation, histone modifications, and chromatin regulators) stabilizes these programs and limits access to inflammatory loci. We discuss how stem cell secretome, and extracellular vesicles (EVs) and their cargo may act as tunable autocrine/paracrine inputs that may bias microglial regulatory control. Finally, we highlight major translational confounders, including EV operational definitions, blood-brain barrier (BBB) permeability and regional exposure, inconsistent dosing units, mixed myeloid compartments, and manufacturing dependent variability. Therefore, an exposure-aware framework that integrates product identity, delivery evidence, state-sensitive potency assays, and functional endpoints would be highly desirable.
Insights
Tumor-associated macrophages (TAMs) in glioblastoma resist therapies by adopting distinct states driven by metabolic and epigenetic changes. Understanding these mechanisms is crucial for developing effective glioblastoma treatments.
Area of Science:
- Neuro-oncology
- Cancer immunology
- Cellular and molecular biology
Background:
- Glioblastoma (GBM) is a challenging cancer due to cellular heterogeneity and adaptive resistance.
- Current targeted therapies and immunotherapies show limited efficacy in GBM's immunosuppressive tumor microenvironment.
- Tumor-associated macrophages (TAMs) play a critical role in GBM's resistance to treatment.
Purpose of the Study:
- To investigate the distinct spatial and transcriptional states of TAMs in GBM.
- To elucidate the mechanisms, including metabolic rewiring and epigenetic imprinting, that drive TAM immunosuppressive functions.
- To identify translational challenges and propose a framework for improving immunotherapeutic strategies.
Main Methods:
- Analysis of TAM states within the GBM tumor microenvironment.
- Investigation of metabolic pathways (glycolysis, lactate signaling, lipid metabolism) influencing TAM function.
- Examination of epigenetic modifications (DNA methylation, histone modifications) in TAMs.
- Evaluation of extracellular vesicles (EVs) and stem cell secretomes as regulatory inputs.
Main Results:
- TAMs exhibit a non-binary continuum of states shaped by tumor signals and niche constraints.
- Metabolic rewiring and epigenetic imprinting stabilize immunosuppressive TAM phenotypes, promoting therapeutic resistance.
- Extracellular vesicles and stem cell secretomes can modulate microglial regulatory control.
Conclusions:
- TAMs are key drivers of glioblastoma's resistance to immune and pharmaceutical therapies.
- Targeting TAM metabolic and epigenetic programs presents a potential therapeutic strategy.
- An exposure-aware framework is needed to address translational confounders for effective immunotherapies.
