ReviewFrontiers in immunology2023
Glioma: bridging the tumor microenvironment, patient immune profiles and novel personalized immunotherapy.
Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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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.
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Who cites it
25 citing papers in PubMed, 24 citations in OpenAlex.
- Single-cell and intercellular communication analyses reveal DLL3 as a key regulator in the glioma tumor microenvironment.Molecular therapy. Nucleic acids · 2026Article
- Antitumor effects of the novel docetaxel derivative JJH201601 in glioma: targeting ribosome biogenesis and enhancing temozolomide sensitivity.Journal of translational medicine · 2026Article
- A brain-penetrant chimeric protein combines direct glioma targeting with myeloid cell-mediated immune reprogramming.Journal of translational medicine · 2026Article
- Reprogramming temozolomide response in glioblastoma through regulated and immunogenic cell death modalities.Cell death discovery · 2026Review
- Ferroptosis-armed dendritic cell vaccines for glioma immunotherapy.Nature communications · 2026Article
- Review
- Review
- A spatiotemporal state-inference framework for adaptive immunotherapy in glioblastoma.Frontiers in oncology · 2026Review
- Reshaping the immunosuppressive glioma microenvironment: mechanisms, biomarkers, and emerging immunotherapies.Frontiers in immunology · 2026Review
- Current Status and Evolution of Immunotherapy in Glioma Management.International journal of medical sciences · 2026Review
- Diversity and function of tumor-associated macrophages in brain metastases: mechanisms and therapeutic prospects.Frontiers in immunology · 2026Review
- Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma.Scientific reports · 2025Article
- A review on mesenchymal stem cells and their secretome in hepatocellular carcinogenesis and its related signaling pathways: recent update.Discover oncology · 2025Review
- Overcoming temozolomide resistance in glioma: recent advances and mechanistic insights.Acta neuropathologica communications · 2025Review
- Aberrant expression of CNTRL was associated with poor prognosis, immune response and progression in glioma.Discover oncology · 2025Article
- Cysteine‑ and glycine‑rich protein 2: A vital regulator that inhibits necroptosis glioma cell by activating the JAK‑STAT1 pathways.Oncology reports · 2025Article
- Integrated Analysis to Reveal Heterogeneity of Tumor-Associated Neutrophils in Glioma.Cancer medicine · 2025Article
- Prognostic Biomarkers in Isocitrate Dehydrogenase Wild-Type Glioblastoma: A Focus on B7-H3.Brain sciences · 2025Article
- Review
- CD4Trends in cancer · 2024Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is the most common primary brain tumor, characterized by a consistently high patient mortality rate and a dismal prognosis affecting both survival and quality of life. Substantial evidence underscores the vital role of the immune system in eradicating tumors effectively and preventing metastasis, underscoring the importance of cancer immunotherapy which could potentially address the challenges in glioma therapy. Although glioma immunotherapies have shown promise in preclinical and early-phase clinical trials, they face specific limitations and challenges that have hindered their success in further phase III trials. Resistance to therapy has been a major challenge across many experimental approaches, and as of now, no immunotherapies have been approved. In addition, there are several other limitations facing glioma immunotherapy in clinical trials, such as high intra- and inter-tumoral heterogeneity, an inherently immunosuppressive microenvironment, the unique tissue-specific interactions between the central nervous system and the peripheral immune system, the existence of the blood-brain barrier, which is a physical barrier to drug delivery, and the immunosuppressive effects of standard therapy. Therefore, in this review, we delve into several challenges that need to be addressed to achieve boosted immunotherapy against gliomas. First, we discuss the hurdles posed by the glioma microenvironment, particularly its primary cellular inhabitants, in particular tumor-associated microglia and macrophages (TAMs), and myeloid cells, which represent a significant barrier to effective immunotherapy. Here we emphasize the impact of inducing immunogenic cell death (ICD) on the migration of Th17 cells into the tumor microenvironment, converting it into an immunologically "hot" environment and enhancing the effectiveness of ongoing immunotherapy. Next, we address the challenge associated with the accurate identification and characterization of the primary immune profiles of gliomas, and their implications for patient prognosis, which can facilitate the selection of personalized treatment regimens and predict the patient's response to immunotherapy. Finally, we explore a prospective approach to developing highly personalized vaccination strategies against gliomas, based on the search for patient-specific neoantigens. All the pertinent challenges discussed in this review will serve as a compass for future developments in immunotherapeutic strategies against gliomas, paving the way for upcoming preclinical and clinical research endeavors.
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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.