Evidence map›Paper›PMID 28451993›Full record

ArticleJournal of neuro-oncology2017

Key rates for the grades and transformation ability of glioma: model simulations and clinical cases.

Elizabeth Scribner, James R Hackney, Hannah C Machemehl, Reina Afiouni, Krishna R Patel, Hassan M Fathallah-Shaykh

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Article in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

6 authors.

Elizabeth ScribnerDepartment of Neurology, The University of Alabama, Birmingham, AL, USA.
James R HackneyDepartment of Pathology, The University of Alabama, Birmingham, AL, USA.
Hannah C MachemehlDepartment of Neurology, The University of Alabama, Birmingham, AL, USA.
Reina AfiouniDepartment of Neurology, The University of Alabama, Birmingham, AL, USA.
Krishna R PatelDepartment of Neurology, The University of Alabama, Birmingham, AL, USA.
Hassan M Fathallah-ShaykhDepartment of Neurology, The University of Alabama, Birmingham, AL, USA. hfshaykh@uabmc.edu.ORCID http://orcid.org/0000-0002-2690-7685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor progression to higher grade is a fundamental property of cancer. The malignant advancement of the pathological features may either develop during the later stages of cancer growth (natural evolution) or it may necessitate new mutations or molecular events that alter the rates of growth, dispersion, or neovascularization (transformation). Here, we model the pathological and radiological features of grades 2-4 gliomas at the times of diagnosis and death and study grade development and the progression to higher grades. We perform a retrospective review of clinical cases based on model predictions. Simulations uncover two unusual patterns of glioma progression, which are supported by clinical cases: (1) some grades 2 and 3 gliomas lack the ability of progression to higher grades, and (2) grade 3 glioma may evolve to GBM in a few weeks. All 13 gliomas that recurred at the same grade carry either the IDH1-R132H or the ATRX mutation. All (five of five) grade 3 tumors are 1p/19q co-deleted, IDH1-R132H mutated and ATRX wt. Furthermore, three of seven grade 2 gliomas are both IDH1-R132H mutated and ATRX mutated. Simulations replicate the good prognosis of secondary GBM. The results support the hypothesis that constant rates of dispersion, proliferation, and angiogenesis prescribe either a natural evolution or the inability to progress to higher grades. Furthermore, the accrual of molecular events that change a tumor's ability to infiltrate, proliferate or neovascularize may transform the glioma either into a more aggressive tumor at the same grade or elevate its grade.

Indexed as

Cell Transformation, NeoplasticDisease ProgressionModels, BiologicalAdultBrain NeoplasmsFemaleGlial Fibrillary Acidic ProteinGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMaleMiddle AgedModels, TheoreticalMutationRetrospective StudiesGlial Fibrillary Acidic ProteinIsocitrate DehydrogenaseX-linked Nuclear ProteinAngiogenesisGlioblastomaGliomaMitosisMotilityRatesTransformation

Identifiers

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.