ReviewMolecular biomedicine2026
Astrocytes in neuroinflammation and brain cancer.
Review in Molecular biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Review
- Integrated network toxicology, bioinformatics, and molecular docking reveal the potential molecular mechanisms linking bisphenol A to glioma progression.Frontiers in bioinformatics · 2026Article
- Chemotherapy-related cognitive impairment as a crisis of the self: a Winnicottian psycho-oncological perspective.Frontiers in psychology · 2026Article
- Glioma-derived extracellular vesicles as drivers of immunotherapeutic resistance: mechanisms of immune reprogramming and metabolic intervention.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Astrocytes are increasingly recognized as active regulators of glioma progression rather than passive bystanders. In addition to blood-brain barrier support, metabolic homeostasis, and synaptic regulation, astrocytes undergo state transitions in response to tumor-derived cues, immune inflammation, and therapy-induced stress. We synthesize evidence from single-cell and single-nucleus transcriptomics, spatial transcriptomics, proteomics, and multiplex imaging to delineate major tumor-associated astrocyte programs across perivascular, invasive-margin, and hypoxic niches. Mechanistically, we highlight how convergent signaling networks, including interleukin-6 (IL-6) family signal transducer and activator of transcription 3 (STAT3), nuclear factor-kappa B (NF-κB), interferon, and transforming growth factor-beta (TGF-β) pathways, couple to metabolic rewiring and chromatin reinforcement to stabilize pro-tumor phenotypes and define molecular inflection points during disease evolution. We propose a 4D spatiotemporal mapping framework that integrates staged sampling with spatially resolved readouts to reconstruct astrocyte trajectories and predict therapy-induced state shifts. To accelerate translation, we separate tumor-derived analytes from astrocyte-derived response analytes within a glial liquid biopsy concept, emphasizing extracellular vesicles, cell-free nucleic acids, and state-linked protein signatures. Finally, we discuss state-aware interventions, spanning pharmacologic modulation and gene therapy, with an emphasis on implementable RNA therapeutics such as small interfering RNA (siRNA)lipid nanoparticles and central nervous system (CNS)-appropriate delivery routes, to restore protective barrier functions while limiting immune exclusion and invasion. We outline endpoint panels for in vivo validation and patient stratification, and identify priorities for clinical translation, including longitudinal sampling, spatial atlases, and combinations of astrocyte normalization with immunotherapy and radiotherapy.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.