Evidence map›Paper›PMID 40189724›Full record

ArticleBrain tumor pathology2025

Analysis of clinical, histological, and genomic information of molecular glioblastoma in a Japanese glioma cohort.

Ryutaro Makino, Madan Bajagain, Nayuta Higa, Toshiaki Akahane, Hajime Yonezawa, Hiroyuki Uchida, Tomoko Takajo, Mari Kirishima, Seiya Yokoyama, Ryosuke Otsuji and 8 more

Abstract read
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In one paragraph

Article in Brain tumor pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

18 authors.

Ryutaro Makino *Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Madan Bajagain *Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Nayuta HigaDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan. nayuhiga@m.kufm.kagoshima-u.ac.jp.ORCID http://orcid.org/0000-0001-8853-8769
Toshiaki AkahaneCenter for Human Genome and Gene Analysis, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8544, Japan.
Hajime YonezawaDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Hiroyuki UchidaDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Tomoko TakajoDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Mari KirishimaDepartment of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8544, Japan.
Seiya YokoyamaDepartment of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8544, Japan.
Ryosuke OtsujiDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Yutaka FujiokaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Daisuke KugaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Hitoshi YamahataDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.
Masamichi KurosakiDivision of Neurosurgery, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 36-1 Nishi-Cho, Yonago, Tottori, 683-8504, Japan.
Junkoh YamamotoDepartment of Neurosurgery, University of Occupational and Environmental Health, Yahatanishi-Ku, Kitakyushu, 807-8555, Japan.
Koji YoshimotoDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Akihide TanimotoDepartment of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8544, Japan.
Ryosuke HanayaDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima-City, Kagoshima, 890-8520, Japan.

Funding

Japan Society for the Promotion of Science 23K08525Japan Society for the Promotion of Science 23K08546
6 · The paper itself

Abstract

In the 2021 WHO Central Nervous System tumor classification, the "Glioblastoma, IDH-wildtype" diagnosis changed markedly. In a Japanese cohort, we compared the clinical backgrounds and prognoses of molecular glioblastoma (mGBM) and conventional glioblastoma (histological glioblastoma, hGBM). We included 270 patients with glioblastoma treated at five institutions during 2011-2023. Driver gene analysis was performed using a brain tumor-specific custom gene panel to verify the association between molecular and clinical information. Patients with mGBM had better preoperative KPS, lower Ki-67, and lower removal rates than did those with hGBM. Overall survival was longer in patients with mGBM than in those with hGBM (1207 vs 599 days, p = 0.037). TP53 mutation (hazard ratio: 5.33, 95% confidence interval: 0.26-108.7, p = 0.012) and histological grade 3 (p = 0.051) were poor prognostic factors for mGBM. Patients with mGBM had better preoperative KPS, worse removal rates, lower Ki-67 labeling index, and better overall survival than did those with hGBM. In addition, the histological grade of mGBM is potentially useful for estimating prognosis. In the WHO CNS5 2021, glioblastoma patients remain a heterogeneous population, and prognostic stratification based on the patient's clinical background and molecular information is desirable.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedCohort StudiesEast Asian PeopleFemaleGenomicsHumansJapanKi-67 AntigenMaleMiddle AgedMutationPrognosisTumor Suppressor Protein p53Ki-67 AntigenTP53 protein, humanTumor Suppressor Protein p53GlioblastomaMolecular glioblastomaTP53 mutationWHO CNS5 2021

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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.