Topic Editors

Laboratory of Neuronal Networks, Department of Mental and Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
Department of Drug and Health Sciences, University of Catania, 95100 Catania, Italy
Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), Human Anatomy Section, University of Palermo, 90127 Palermo, Italy

Advances in High Grade Glioma Research

Abstract submission deadline
10 January 2027
Manuscript submission deadline
10 March 2027
Viewed by
1581

Topic Information

Dear Colleagues,

High-grade gliomas (HGGs), particularly glioblastoma, are among the most aggressive and lethal tumors of the central nervous system, challenging even advanced diagnostic and prognostic strategies.

These tumors grow masked behind a plethora of neurological signs, having systemic effects. Surgery is restricted to the neuroanatomical location, while the blood–brain barrier limits drug treatments. HGGs appear with distinct biological features, establishing a structural relationship within the nervous tissue. The immune distribution is diverse between samples and correlates with tumor cell phenotype in a spatial orientation.

Despite advances in personalized medicine, spatial biology, immunotherapy, and a high-precision ion beam approach, patient prognosis remains unfavorable, requiring urgent studies to understand brain tumor biology, polarization of the microenvironment, and systemic mechanisms.

The combination of diverse treatments and technologies holds promise for improving the prognosis of HGG. The present topic aims to collect ideas, hypotheses, and proofs to leverage the knowledge provided by multitargeted approaches, such as immune checkpoint inhibitors, vaccines, or CAR-T cells, combined with nanomedicine, tumor treating fields (TTFields), artificial intelligence, or radiomics inter-field.

Therefore, journal articles, reviews, letters, and communications related to the aforementioned topics are welcome.

Dr. Assunta Virtuoso
Dr. Agata Grazia D'Amico
Dr. Celeste Caruso Bavisotto
Topic Editors

Keywords

  • brain tumors
  • human
  • mammals
  • astrocytes
  • microglia
  • oligodendroglia
  • neuroanatomy
  • neuropeptides
  • imaging

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Brain Sciences
brainsci
2.8 5.6 2011 17.6 Days CHF 2200 Submit
Neurology International
neurolint
3.0 4.8 2009 21.5 Days CHF 1800 Submit
NeuroSci
neurosci
2.0 - 2020 23.3 Days CHF 1200 Submit

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Published Papers (1 paper)

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Review
Evolving Landscape of Glioblastoma Research: Integrating Therapeutic Advances and Diagnostic Frontiers
by Nirupama A. Sabnis, Luke C. Cooksey, Hareesh Jayakumar, Mariana Moguel Mendez, Ezek Mathew, Roland Max Petty, Amalendu Ranjan, Luis Colon-Perez, Rob Dickerman, Porunelloor A. Mathew and Bruce A. Bunnell
Brain Sci. 2026, 16(5), 487; https://doi.org/10.3390/brainsci16050487 - 30 Apr 2026
Viewed by 875
Abstract
Glioblastoma (GB) remains the most aggressive primary brain malignancy, with the Stupp regimen persisting as the standard of care for nearly two decades despite poor survival outcomes. This review was synthesized by extensively reviewing and analyzing the literature from PubMed, Scopus, and Web [...] Read more.
Glioblastoma (GB) remains the most aggressive primary brain malignancy, with the Stupp regimen persisting as the standard of care for nearly two decades despite poor survival outcomes. This review was synthesized by extensively reviewing and analyzing the literature from PubMed, Scopus, and Web of Science to evaluate the emerging promising therapeutic and diagnostic strategies for combating GB. Results indicate significant progress in molecularly targeted therapies, biomimetic nanocarriers, and advanced radiotherapy. While immunotherapeutic approaches, such as checkpoint inhibitors and vaccines, show variable clinical success, the integration of bioinformatics and machine learning has significantly enhanced treatment response prediction. Furthermore, advances in radiomics and molecular imaging have improved the differentiation between true tumor progression and pseudoprogression, potentially reducing invasive diagnostic requirements. Additionally, other emerging and investigational adjuvant therapeutic approaches have shown promise. We conclude that, while multimodal strategies integrating molecular and computational approaches offer a path toward personalized GB management, significant barriers—namely tumor heterogeneity and the blood–brain barrier—persist. Future research must prioritize precision-based combinatorial models to successfully translate these preclinical advancements into improved clinical outcomes for patients. Full article
(This article belongs to the Topic Advances in High Grade Glioma Research)
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