Evidence map›Paper›PMID 42388505›Full record

ReviewFrontiers in medicine2026

Reconceptualizing glioblastoma immunotherapy: a four-pillar framework to overcome multidimensional resistance.

Naibijiang Abuliezi, Jiale Zhao, Yihan Sun, Tayier Tuersong, Xiaoyi Dun, Qinfen Wu

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Naibijiang Abuliezi *The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Jiale Zhao *The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yihan SunThe Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Tayier TuersongDepartment of Pharmacy, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiaoyi DunThe Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qinfen WuThe Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) remains a recalcitrant primary brain malignancy characterized by a profound immunosuppressive tumor microenvironment (TME), low mutational burden, and extreme molecular heterogeneity. Despite transformative successes in other solid tumors, clinical efficacy in GBM remains modest due to multifaceted barriers, including impaired antigen presentation, dominant myeloid suppression, and the restrictive blood-brain barrier (BBB). This review provides a comprehensive synthesis of the immunotherapeutic landscape, encompassing checkpoint blockade, vaccines, oncolytic virotherapy, and adoptive cellular therapies. Diverging from traditional modality-centric descriptions, we propose an integrated framework organized around four core pillars of antitumor immunity: enhancing antigen presentation, reversing T cell dysfunction, reprogramming the suppressive TME, and engineering effective intracranial delivery. We detail mechanistic rationales and prioritize recent clinical breakthroughs, including bispecific T-cell engagers and the 2024-2025 milestones in bivalent and TEAM-CAR T cell designs. By delineating mechanisms of resistance and identifying areas of therapeutic convergence, we aim to outline research priorities to render the "cold" GBM niche permissive to durable antitumor immunity.

Indexed as

glioblastomaimmune checkpoint inhibitorsimmune evasiontumor microenvironmenttumor vaccines

Identifiers

PMID42388505
PMCPMC13321805

What OpenQuestion holds

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Registered trials

None linked

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.