ReviewFrontiers in cell and developmental biology2025
Interactions between glioblastoma and myeloid cells.
Review in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Integrating Endovascular Drug Delivery into the Therapeutic Landscape of Glioblastoma.Cancers · 2026Review
- Article
- Decoding myeloid heterogeneity in glioblastoma: spatial insights from transcriptomics.Journal of translational medicine · 2026Review
- Local Nanomedicine and Nano-Enabled Biomaterials After Glioblastoma Resection.International journal of nanomedicine · 2026Review
- The immunosuppressive tumor microenvironment in glioblastoma.Frontiers in immunology · 2026Review
- The dynamic myeloid-enriched microenvironment of glioblastoma: a major challenge to immunotherapy efficacy.Frontiers in immunology · 2026Review
- Reconceptualizing glioblastoma immunotherapy: a four-pillar framework to overcome multidimensional resistance.Frontiers in medicine · 2026Review
- Metabolic reprogramming and immunosenescence: a new sight for glioma therapy.Frontiers in cell and developmental biology · 2026Review
- Review
- Chimeric antigen receptor (CAR) T-cell therapy for glioblastoma (GBM): current clinical insights, challenges, and future directions.Journal for immunotherapy of cancer · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Standing as the most aggressive form of primary malignant tumor, Glioblastoma (GBM) tumors with marked heterogeneity represents one of the enormous challenges in glioma treatment. Myeloid cells, which includes neutrophils, myeloid-derived suppressor cells, microglia, and macrophages, play a pivotal role in the tumor microenvironment of GBM. In the tumor microenvironment (TME), T cells and natural killer (NK) cells exert anti-tumor functions, whereas myeloid-derived suppressor cells (MDSCs) can promote tumor progression by suppressing these immune responses. Therefore, MDSCs play a critical role in shaping the effectiveness of immunotherapy. TME has constrained the ability of traditional GBM treatment approaches to significantly enhance prognostic outcomes for patients. This category encompasses conventional therapies like surgical resection and radiation therapy, along with cutting-edge methodologies such as immunotherapy. Through extensive investigations into the dynamic interactions between the GBM microenvironment and neoplastic cells, both targeted treatment strategies and innovative immunotherapeutic modalities have emerged, offering promising new directions for clinical intervention. This review focuses on the interactions between GBM and myeloid cells (MCs), providing novel insights into the oncogenesis and progression of GBM.
Indexed as
Identifiers
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.