Evidence map›Paper›PMID 30877769›Full record

ArticleCarcinogenesis2019

Molecular classification of IDH-mutant glioblastomas based on gene expression profiles.

Fan Wu, Rui-Chao Chai, Zhiliang Wang, Yu-Qing Liu, Zheng Zhao, Guan-Zhang Li, Hao-Yu Jiang

Abstract read
In one paragraph

Article in Carcinogenesis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Killing the killers: Natural killer cell therapy targeting glioma stem cells in high-grade glioma.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  5. Article
  6. Article
  7. AberrantCells · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Analysis of prognostic oncogene filaggrin (Translational andrology and urology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Metabolic Drivers of Invasion in Glioblastoma.Frontiers in cell and developmental biology · 2021
    Review
  18. Article
  19. Article
  20. 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

7 authors.

Fan WuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Rui-Chao ChaiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Zhiliang WangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Yu-Qing LiuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Zheng ZhaoDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Guan-Zhang LiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.
Hao-Yu JiangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isocitrate dehydrogenase (IDH) mutant glioblastoma (GBM), accounts for ~10% GBMs, arises from lower grade diffuse glioma and preferentially appears in younger patients. Here, we aim to establish a robust gene expression-based molecular classification of IDH-mutant GBM. A total of 33 samples from the Chinese Glioma Genome Atlas RNA-sequencing data were selected as training set, and 21 cases from Chinese Glioma Genome Atlas microarray data were used as validation set. Consensus clustering identified three groups with distinguished prognostic and molecular features. G1 group, with a poorer clinical outcome, mainly contained TERT promoter wild-type and male cases. G2 and G3 groups had better prognosis differed in gender. Gene ontology analysis showed that genes enriched in G1 group were involved in DNA replication, cell division and cycle. On the basis of the differential genes between G1 and G2/G3 groups, a six-gene signature was developed with a Cox proportional hazards model. Kaplan-Meier analysis found that the acquired signature could differentiate the outcome of low- and high-risk cases. Moreover, the signature could also serve as an independent prognostic factor for IDH-mutant GBM in the multivariate Cox regression analysis. Gene ontology and gene set enrichment analyses revealed that gene sets correlated with high-risk group were involved in cell cycle, cell proliferation, DNA replication and repair. These finding highlights heterogeneity within IDH-mutant GBMs and will advance our molecular understanding of this lethal cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdultBiomarkers, TumorBrain NeoplasmsDatasets as TopicFemaleGlioblastomaHumansIsocitrate DehydrogenaseKaplan-Meier EstimateMaleMutationOligonucleotide Array Sequence AnalysisPrognosisRNA-SeqSex FactorsBiomarkers, TumorIsocitrate Dehydrogenase

Identifiers

PMID30877769
PMCPMC6642368

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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.