Evidence map›Paper›PMID 36703629›Full record

ArticleFrontiers in neurology2022

Dimorphic glioblastoma with glial and epithelioid phenotypes: Clonal evolution and immune selection.

Mark Willy L Mondia, Michael A Kritselis, John E Donahue, Heinrich Elinzano, Sasmit Sarangi, David Bryant, Marzia Capelletti, W Michael Korn, Esther Yu, Sherry Yan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. 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
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 4 institutions in 2 countries.

Mark Willy L MondiaDepartment of Neurosciences, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.
Michael A KritselisDepartment of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
John E DonahueDepartment of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Heinrich ElinzanoDepartment of Neurology, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Sasmit SarangiDepartment of Neurology, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
David BryantCaris Life Sciences, Irving, TX, United States.
Marzia CapellettiCaris Life Sciences, Irving, TX, United States.
W Michael KornCaris Life Sciences, Irving, TX, United States.
Esther YuDepartment of Radiation Oncology, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Sherry YanDepartment of Radiation Oncology, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Steven A TomsDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Eric T WongDepartment of Neurology, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI, United States.
Rhode Island Hospital · USBrown University · USCaris Life Sciences (United States) · USUniversity of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Epithelioid glioblastoma is an unusual histologic variant of malignant glioma. The present study investigates both the genomic and transcriptomic determinants that may promote the development of this tumor. Methods: Whole-exome sequencing (WES) and whole-transcriptome sequencing (WTS) were performed on an epithelioid glioblastoma, along with a specific bioinformatic pipeline to generate electronic karyotyping and investigate the tumor immune microenvironment. Microdissected sections containing typical glioblastoma features and epithelioid morphology were analyzed separately using the same methodologies. Results: An epithelioid glioblastoma, with immunopositivity for GFAP, Olig-2, and ATRX but negative for IDH-1 and p53, was identified. The tumor cell content from microdissection was estimated to be 85-90% for both histologic tumor components. WES revealed that both glioma and epithelioid sections contained identical point mutations in Conclusion: Epithelioid glioblastoma may be genomically more unstable and oncogenically more advanced, harboring an increased number of mutations and karyotype abnormalities, compared to typical glioblastomas. The tumor immune microenvironment is also different.

Indexed as

clonal evaluationepithelioid glioblastomaexome sequencingimmune profiling glioblastoma with glial and epithelioid phenotypesmalignant glioma

Identifiers

PMID36703629
PMCPMC9871816
OpenAlexW4315433910

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.