Evidence map›Paper›PMID 35653194›Full record

ArticleJCI insight2022

Immune landscape of a genetically engineered murine model of glioma compared with human glioma.

Daniel B Zamler, Takashi Shingu, Laura M Kahn, Kristin Huntoon, Cynthia Kassab, Martina Ott, Katarzyna Tomczak, Jintan Liu, Yating Li, Ivy Lai and 8 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  16. Translational Models in Glioma Immunotherapy Research.Current oncology (Toronto, Ont.) · 2023
    Review
  17. Review
  18. Tumor progression is independent of tumor-associated macrophages in cell lineage-based mouse models of glioblastoma.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Review
  20. Review
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

18 authors at 4 institutions in 3 countries.

Daniel B ZamlerDepartment of Genomic Medicine.
Takashi ShinguDepartment of Cancer Biology, and.
Laura M KahnUT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kristin HuntoonDepartment of Neurosurgery.
Cynthia KassabDepartment of Neurosurgery.
Martina OttDepartment of Neurosurgery.
Katarzyna TomczakDepartment of Genomic Medicine.
Jintan LiuDepartment of Genomic Medicine.
Yating LiUT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ivy LaiDepartment of Melanoma Medical Oncology, and.
Rocio Zorilla-VelozDepartment of Cancer Biology, and.
Cassian YeeUT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kunal RaiDepartment of Genomic Medicine.
Betty Ys KimDepartment of Neurosurgery.
Stephanie S WatowichUT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Amy B HeimbergerDepartment of Neurological Surgery, Lou and Jean Malnati Brain Tumor Institute, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Giulio F DraettaDepartment of Genomic Medicine.
Jian HuDepartment of Cancer Biology, and.
The University of Texas MD Anderson Cancer Center · USCenter for Genomic Science · ITMelanoma Institute Australia · AURobert H. Lurie Comprehensive Cancer Center of Northwestern University

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Role of Quaking gene in regulating the niche-independent stemness of glioma stem cellsR37CA214800 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HU, JIAN · 2018 to 2022
$2.0M
NCI NIH HHS P30 CA016672NCI NIH HHS R37 CA214800
6 · The paper itself

Abstract

Novel therapeutic strategies targeting glioblastoma (GBM) often fail in the clinic, partly because preclinical models in which hypotheses are being tested do not recapitulate human disease. To address this challenge, we took advantage of our previously developed spontaneous Qk/Trp53/Pten (QPP) triple-knockout model of human GBM, comparing the immune microenvironment of QPP mice with that of patient-derived tumors to determine whether this model provides opportunity for gaining insights into tumor physiopathology and preclinical evaluation of therapeutic agents. Immune profiling analyses and single-cell sequencing of implanted and spontaneous tumors from QPP mice and from patients with glioma revealed intratumoral immune components that were predominantly myeloid cells (e.g., monocytes, macrophages, and microglia), with minor populations of T, B, and NK cells. When comparing spontaneous and implanted mouse samples, we found more neutrophils and T and NK cells in the implanted model. Neutrophils and T and NK cells were increased in abundance in samples derived from human high-grade glioma compared with those derived from low-grade glioma. Overall, our data demonstrate that our implanted and spontaneous QPP models recapitulate the immunosuppressive myeloid-dominant nature of the tumor microenvironment of human gliomas. Our model provides a suitable tool for investigating the complex immune compartment of gliomas.

Indexed as

GlioblastomaGliomaAnimalsDisease Models, AnimalHumansMacrophagesMiceTumor MicroenvironmentBrain cancerCellular immune responseMouse modelsNeuroscienceOncology

Identifiers

PMID35653194
PMCPMC9309065
OpenAlexW4281698720

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.