Evidence map›Paper›PMID 27056901›Full record

ArticleOncotarget2016

Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis.

Tyler C Steed, Jeffrey M Treiber, Kunal Patel, Valya Ramakrishnan, Alexander Merk, Amanda R Smith, Bob S Carter, Anders M Dale, Lionel M L Chow, Clark C Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  16. Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns.Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop) · 2019
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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 3 institutions in 1 country.

Tyler C SteedCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Jeffrey M TreiberCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Kunal PatelCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Valya RamakrishnanCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Alexander MerkCancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Amanda R SmithCancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Bob S CarterCenter for Theoretical and Applied Neuro-Oncology, Division of Neurosurgery, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Anders M DaleMultimodal Imaging Laboratory, University of California San Diego, La Jolla, CA, USA.
Lionel M L ChowCancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Clark C ChenCancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
University of California, San Diego · USCincinnati Children's Hospital Medical Center · USPresbyterian Hospital · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
NCI NIH HHS P30 CA023100NIGMS NIH HHS T32 GM007198
6 · The paper itself

Abstract

introductionThe subventricular zone (SVZ) has been implicated in the pathogenesis of glioblastoma. Whether molecular subtypes of glioblastoma arise from unique niches of the brain relative to the SVZ remains largely unknown. Here, we tested whether these subtypes of glioblastoma occupy distinct regions of the cerebrum and examined glioblastoma localization in relation to the SVZ.

methodsPre-operative MR images from 217 glioblastoma patients from The Cancer Imaging Archive were segmented automatically into contrast enhancing (CE) tumor volumes using Iterative Probabilistic Voxel Labeling (IPVL). Probabilistic maps of tumor location were generated for each subtype and distances were calculated from the centroid of CE tumor volumes to the SVZ. Glioblastomas that arose in a Genetically Modified Murine Model (GEMM) model were also analyzed with regard to SVZ distance and molecular subtype.

resultsClassical and mesenchymal glioblastomas were more diffusely distributed and located farther from the SVZ. In contrast, proneural and neural glioblastomas were more likely to be located in closer proximity to the SVZ. Moreover, in a GFAP-CreER; PtenloxP/loxP; Trp53loxP/loxP; Rb1loxP/loxP; Rbl1-/- GEMM model of glioblastoma where tumor can spontaneously arise in different regions of the cerebrum, tumors that arose near the SVZ were more likely to be of proneural subtype (p < 0.0001).

conclusionsGlioblastoma subtypes occupy different regions of the brain and vary in proximity to the SVZ. These findings harbor implications pertaining to the pathogenesis of glioblastoma subtypes.

Indexed as

AdultAgedBrain NeoplasmsFemaleGlioblastomaHumansImage Processing, Computer-AssistedLateral VentriclesMagnetic Resonance ImagingMaleMiddle Agedautomatic tumor segmentationglioblastomaMR imagingsubtypessubventricular zone

Identifiers

PMID27056901
PMCPMC5041878
OpenAlexW2314263138

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.