Evidence map›Paper›PMID 31623593›Full record

ArticleBMC cancer2019

Clinical insights gained by refining the 2016 WHO classification of diffuse gliomas with: EGFR amplification, TERT mutations, PTEN deletion and MGMT methylation.

Cheila Brito, Ana Azevedo, Susana Esteves, Ana Rita Marques, Carmo Martins, Ilda Costa, Manuela Mafra, José M Bravo Marques, Lúcia Roque, Marta Pojo

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07703761 (AI-driven Processing and Analysis of Glioma Imaging Data EUCAIM Database Contribution by the Italian Brain Glioma Initiative Italian Title), which is not on this map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT07703761 recruitingnot on this mapstarted 2026, after this paper: background citation

AI-driven Processing and Analysis of Glioma Imaging Data EUCAIM Database Contribution by the Italian Brain Glioma Initiative Italian Title: Elaborazione ed Analisi Supportata Dall'Intelligenza Artificiale di Immagini di Risonanza Magnetica di Gliomi Cerebrali

TypeobservationalSponsorUniversità degli Studi di TrentoRan2026 to 2031Enrolled700ConditionsGlioma, Glioma (Diagnosis)ArmsAI-driven analysis of brain MRI data for early, non-invasive detection, segmentation, and histological characterization of gliomas using retrospective clinical and imaging records.
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas.Archives of pathology & laboratory medicine · 2022
    Guideline
  5. Trial
  6. [ZEB2 promotes glioblastoma progression by reprogramming lipid metabolism through the CYLD/FASN axis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. International journal of molecular sciences · 2025
    Review
  11. Review
  12. Prognostic Impact ofCancers · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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

10 authors at 4 institutions in 1 country.

Cheila BritoUnidade de Investigação em Patobiologia Molecular (UIPM) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Ana AzevedoServiço de Neurologia do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Susana EstevesUnidade de Investigação Clínica (UIC) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Porto, Portugal.
Ana Rita MarquesUnidade de Investigação em Patobiologia Molecular (UIPM) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Carmo MartinsUnidade de Investigação em Patobiologia Molecular (UIPM) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Ilda CostaServiço de Neurologia do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Manuela MafraServiço de Anatomia Patológica do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E, Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
José M Bravo MarquesServiço de Neurologia do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Lúcia RoqueUnidade de Investigação em Patobiologia Molecular (UIPM) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal.
Marta PojoUnidade de Investigação em Patobiologia Molecular (UIPM) do Instituto Português de Oncologia de Lisboa Francisco Gentil E.P.E., Rua Prof. Lima Basto, 1099-023, Lisbon, Portugal. martapojo@gmail.com.ORCID http://orcid.org/0000-0002-4036-6731
Instituto Português de Oncologia de Coimbra Francisco Gentil · PTInstituto Português de Oncologia de Coimbra Francisco Gentil · PTIPO Porto · PTUniversity of Beira Interior · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificant advances in the molecular profiling of gliomas, led the 2016 World Health Organization (WHO) Classification to include, for the first-time, molecular biomarkers in glioma diagnosis: IDH mutations and 1p/19q codeletion. Here, we evaluated the effect of this new classification in the stratification of gliomas previously diagnosed according to 2007 WHO classification. Then, we also analyzed the impact of TERT promoter mutations, PTEN deletion, EGFR amplification and MGMT promoter methylation in diagnosis, prognosis and response to therapy in glioma molecular subgroup.

methodsA cohort of 444 adult gliomas was analyzed and reclassified according to the 2016 WHO. Mutational analysis of IDH1 and TERT promoter mutations was performed by Sanger sequencing. Statistical analysis was done using SPSS Statistics 21.0.

resultsThe reclassification of this cohort using 2016 WHO criteria led to a decrease of the number of oligodendrogliomas (from 82 to 49) and an increase of astrocytomas (from 49 to 98), while glioblastomas (GBM) remained the same (n = 256). GBM was the most common diagnosis (57.7%), of which 55.2% were IDH-wildtype. 1p/19q codeleted gliomas were the subgroup associated with longer median overall survival (198 months), while GBM IDH-wildtype had the worst outcome (10 months). Interestingly, PTEN deletion had poor prognostic value in astrocytomas IDH-wildtype (p = 0.015), while in GBM IDH-wildtype was associated with better overall survival (p = 0.042) as well as MGMT promoter methylation (p = 0.009). EGFR amplification and TERT mutations had no impact in prognosis. Notably, EGFR amplification predicted a better response to radiotherapy (p = 0.011) and MGMT methylation to chemo-radiotherapy (p = 0.003).

conclusionIn this study we observed that the 2016 WHO classification improved the accuracy of diagnosis and prognosis of diffuse gliomas, although the available biomarkers are not enough. Therefore, we suggest MGMT promoter methylation should be added to glioma classification. Moreover, we found two genetic/clinical correlations that must be evaluated to understand their impact in the clinical setting: i) how is PTEN deletion a favorable prognostic factor in GBM IDH wildtype and an unfavorable prognostic factor in astrocytoma IDH wildtype and ii) how EGFR amplification is an independent and strong factor of response to radiotherapy.

Indexed as

World Health OrganizationAdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCohort StudiesDNA MethylationDNA Modification MethylasesDNA Repair EnzymesErbB ReceptorsFemaleGene AmplificationGene DeletionGliomaBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesEGFR protein, humanErbB ReceptorsMGMT protein, humanPTEN PhosphohydrolasePTEN protein, humanTelomeraseTERT protein, humanTumor Suppressor Proteins1p/19q codeletion2016 WHO classificationEGFRGliomasIDHMGMTPTENTERT

Identifiers

PMID31623593
PMCPMC6798410
OpenAlexW2980489104

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Registered trials

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.