Evidence map›Paper›PMID 39687791›Full record

ArticleNeuro-oncology advances

Radiological, clinical, and molecular analyses reveal distinct subtypes of butterfly glioblastomas affecting the prognosis.

Ichiyo Shibahara, Ryota Shigeeda, Takashi Watanabe, Yasushi Orihashi, Yoko Tanihata, Kazuko Fujitani, Hajime Handa, Yuri Hyakutake, Mariko Toyoda, Madoka Inukai and 6 more

Abstract read
In one paragraph

Article in Neuro-oncology advances. 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

16 authors.

Ichiyo ShibaharaDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.ORCID https://orcid.org/0000-0001-6453-0076
Ryota ShigeedaDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Takashi WatanabeDepartment of General Internal Medicine, JCHO Sendai Hospital, Sendai, Miyagi, Japan.
Yasushi OrihashiClinical Research Center in Hiroshima, Hiroshima University Hospital, Hiroshima, Hiroshima, Japan.
Yoko TanihataDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Kazuko FujitaniGene Analysis Center, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Hajime HandaDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Yuri HyakutakeDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Mariko ToyodaDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Madoka InukaiDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Kohei UemasuDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Mitsuhiro ShinodaDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Hideto KomaiDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Sumito SatoDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Takuichiro HideDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Toshihiro KumabeDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma (GB) is known for its highly invasive nature. Images of butterfly GB (bGB) often illustrate this characteristic, but the molecular background and origins of bGB remain unknown. Methods: We analyzed a cohort of 34 bGB patients from our dataset (K-cohort) and 46 bGB patients from publicly available datasets, including TCGA-GBM, CPTAC-GBM, IvyGAP, and UPENN-GBM. Results: In the K-cohort, the median age was 66 years, and molecular analyses revealed Conclusions: Our results highlight that the radiological features of bGB are not homogenous and can indicate 2 potential subtypes based on their origins. Further studies are mandatory, but CC-type and Hemispheric-type exhibit distinct clinical backgrounds, outcomes, and molecular features.

Indexed as

butterfly glioblastomacorpus callosumMGMTsurgerysurvival

Identifiers

PMID39687791
PMCPMC11647517

What OpenQuestion holds

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Registered trials

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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.