Evidence map›Paper›PMID 30952620›Full record

ArticleEBioMedicine2019

Gene signatures of quiescent glioblastoma cells reveal mesenchymal shift and interactions with niche microenvironment.

Rut Tejero, Yong Huang, Igor Katsyv, Michael Kluge, Jung-Yi Lin, Jessica Tome-Garcia, Nicolas Daviaud, Yuanshuo Wang, Bin Zhang, Nadejda M Tsankova and 3 more

Abstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Review
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  14. Brain Tumor Stem Cells: New Perspectives.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  15. Article
  16. Review
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20 more citing papers are in PubMed but not listed here.

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

13 authors.

Rut TejeroNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yong HuangNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Igor KatsyvDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael KlugeInstitut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany.
Jung-Yi LinTisch Cancer Institute, Biostatistics Shared Resource Facility, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jessica Tome-GarciaDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nicolas DaviaudNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yuanshuo WangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nadejda M TsankovaDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Caroline C FriedelInstitut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany.
Hongyan ZouNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: hongyan.zou@mssm.edu.
Roland H FriedelNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: roland.friedel@mssm.edu.

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
Plexin-B2 function in glioma invasion and glioma stem cell maintenanceR01NS092735 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRIEDEL, ROLAND HORST · 2016 to 2025
$4.1M
Dissect governing factors for tumor stem cell dormancy in biomimetic vascular/GBM modelR01NS107462 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAI, GUOHAO, FRIEDEL, ROLAND HORST · 2018 to 2022
$3.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Tracking the in vivo proliferative history of human glioma-derived stem cellsR21NS085466 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRIEDEL, ROLAND HORST, ZOU, HONGYAN JENNY · 2013 to 2014
$464k
NCI NIH HHS P30 CA196521NIH HHS S10 OD018522NINDS NIH HHS R01 NS092735NINDS NIH HHS R01 NS107462NINDS NIH HHS R21 NS085466
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM), a highly malignant brain tumor, invariably recurs after therapy. Quiescent GBM cells represent a potential source of tumor recurrence, but little is known about their molecular underpinnings.

methodsPatient-derived GBM cells were engineered by CRISPR/Cas9-assisted knock-in of an inducible histone2B-GFP (iH2B-GFP) reporter to track cell division history. We utilized an in vitro 3D GBM organoid approach to isolate live quiescent GBM (qGBM) cells and their proliferative counterparts (pGBM) to compare stem cell properties and therapy resistance. Gene expression programs of qGBM and pGBM cells were analyzed by RNA-Seq and NanoString platforms.

findingsH2B-GFP-retaining qGBM cells exhibited comparable self-renewal capacity but higher therapy resistance relative to pGBM. Quiescent GBM cells expressed distinct gene programs that affect cell cycle control, metabolic adaptation, and extracellular matrix (ECM) interactions. Transcriptome analysis also revealed a mesenchymal shift in qGBM cells of both proneural and mesenchymal GBM subtypes. Bioinformatic analyses and functional assays in GBM organoids established hypoxia and TGFβ signaling as potential niche factors that promote quiescence in GBM. Finally, network co-expression analysis of TCGA glioma patient data identified gene modules that are enriched for qGBM signatures and also associated with survival rate.

interpretationOur in vitro study in 3D GBM organoids supports the presence of a quiescent cell population that displays self-renewal capacity, high therapy resistance, and mesenchymal gene signatures. It also sheds light on how GBM cells may acquire and maintain quiescence through ECM organization and interaction with niche factors such as TGFβ and hypoxia. Our findings provide a starting point for developing strategies to tackle the quiescent population of GBM. FUND: National Institutes of Health (NIH) and Deutsche Forschungsgemeinschaft (DFG).

Indexed as

Gene SilencingBrain NeoplasmsCell CycleCell Line, TumorCell Self RenewalComputational BiologyDrug Resistance, NeoplasmExtracellular MatrixFluorescent Antibody TechniqueGene ExpressionGene Expression ProfilingGenes, ReporterGlioblastomaHumansImmunohistochemistryKaplan-Meier EstimateGBM organoidGlioblastomaH2B-GFPProneural-mesenchymal transitionStem cell nicheTumor quiescence

Identifiers

PMID30952620
PMCPMC6491796

What OpenQuestion holds

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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.