Evidence map›Paper›PMID 33762019›Full record

ReviewActa neuropathologica communications2021

Perspective of mesenchymal transformation in glioblastoma.

Yona Kim, Frederick S Varn, Sung-Hye Park, Byung Woo Yoon, Hye Ran Park, Charles Lee, Roel G W Verhaak, Sun Ha Paek

Open access · goldAbstract readReview
In one paragraph

Review in Acta neuropathologica communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
18.7field-weighted citation impact, top 1% of its field
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

102 citing papers in PubMed, 153 citations in OpenAlex.

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  8. Tumor-intrinsic TLR4 signaling as a context-dependent rheostat in glioblastoma.Journal of molecular medicine (Berlin, Germany) · 2026
    Review
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42 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 3 countries.

Yona KimDepartment of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, 03080, Korea.
Frederick S VarnThe Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA.
Sung-Hye ParkDepartment of Pathology, Seoul National University Hospital, Seoul, 03080, Korea.
Byung Woo YoonDivision of Hemato-Oncology, Department of Internal Medicine, Inje University Seoul Paik Hospital , Seoul, 04551, Korea.
Hye Ran ParkDepartment of Neurosurgery, Soonchunhyang University Seoul Hospital, Seoul, 04401, Korea.
Charles LeeThe Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA.
Roel G W Verhaak *The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA. Roel.Verhaak@jax.org.
Sun Ha Paek *Department of Neurosurgery, Cancer Research Institute and Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, 03080, Korea. paeksh@snu.ac.kr.ORCID http://orcid.org/0000-0003-3007-8653
Jackson Laboratory · USSeoul National University · KRInje University Seoul Paik Hospital · KRSeoul National University Hospital · KRSoonchunhyang University Hospital Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite aggressive multimodal treatment, glioblastoma (GBM), a grade IV primary brain tumor, still portends a poor prognosis with a median overall survival of 12-16 months. The complexity of GBM treatment mainly lies in the inter- and intra-tumoral heterogeneity, which largely contributes to the treatment-refractory and recurrent nature of GBM. By paving the road towards the development of personalized medicine for GBM patients, the cancer genome atlas classification scheme of GBM into distinct transcriptional subtypes has been considered an invaluable approach to overcoming this heterogeneity. Among the identified transcriptional subtypes, the mesenchymal subtype has been found associated with more aggressive, invasive, angiogenic, hypoxic, necrotic, inflammatory, and multitherapy-resistant features than other transcriptional subtypes. Accordingly, mesenchymal GBM patients were found to exhibit worse prognosis than other subtypes when patients with high transcriptional heterogeneity were excluded. Furthermore, identification of the master mesenchymal regulators and their downstream signaling pathways has not only increased our understanding of the complex regulatory transcriptional networks of mesenchymal GBM, but also has generated a list of potent inhibitors for clinical trials. Importantly, the mesenchymal transition of GBM has been found to be tightly associated with treatment-induced phenotypic changes in recurrence. Together, these findings indicate that elucidating the governing and plastic transcriptomic natures of mesenchymal GBM is critical in order to develop novel and selective therapeutic strategies that can improve both patient care and clinical outcomes. Thus, the focus of our review will be on the recent advances in the understanding of the transcriptome of mesenchymal GBM and discuss microenvironmental, metabolic, and treatment-related factors as critical components through which the mesenchymal signature may be acquired. We also take into consideration the transcriptomic plasticity of GBM to discuss the future perspectives in employing selective therapeutic strategies against mesenchymal GBM.

Indexed as

Brain NeoplasmsEpithelial-Mesenchymal TransitionGlioblastomaHumansGlioblastomaMaster transcriptional regulatorMesenchymal transitionTAMsTranscriptomic plasticity

Identifiers

PMID33762019
PMCPMC7992784
OpenAlexW3135999229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.