Evidence map›Paper›PMID 42818566›Full record

ArticlebioRxiv : the preprint server for biology2026

Exosome-Mediated Bidirectional Signaling Regulates Glioma Stem-Cell Homeostasis and Radiation-Induced Plasticity.

Linda Azizi, Ling He, Aparna Bhaduri, Linda M Liau, Harley I Kornblum, Frank Pajonk

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Linda AziziDepartment of Radiation Oncology, David Geffen School of Medicine at University of California, Los Angeles, USA.
Ling HeDepartment of Radiation Oncology, David Geffen School of Medicine at University of California, Los Angeles, USA.
Aparna BhaduriDepartment of Biological Chemistry, University of California, Los Angeles, USA.
Linda M LiauJonsson Comprehensive Cancer Center at the University of California, Los Angeles, USA.
Harley I KornblumJonsson Comprehensive Cancer Center at the University of California, Los Angeles, USA.
Frank PajonkDepartment of Radiation Oncology, David Geffen School of Medicine at University of California, Los Angeles, USA.ORCID 0000-0003-4067-9751

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Shared Resource Core: Single Cell AnalysisU54CA217378 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2018 to 2022
$9.7M
UCI P30 Skin Center Systems Biology CoreP30AR075047 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI ANDERSEN, BOGI, GANESAN, ANAND K · 2019 to 2025
$5.1M
West/Midwest Consortium for High-Resolution Cryo Electron MicroscopyU24GM116792 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGBANDJE-MCKENNA, MAVIS, DOKLAND, TERJE · 2016 to 2020
$3.0M
Use of CTEP portfolio compounds to counteract phenotype conversion in GBMR01CA260886 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Frank Pajonk · 2022 to 2026
$2.6M
Utilizing Radiation-Induced Multi-potency to Increase the Efficacy of RadiotherapyR01CA281682 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Frank Pajonk · 2023 to 2026
$2.0M
HIGH-END CRYOEM INSTRUMENT FOR UCLA ELECTRON IMAGING CTR FOR NANOMACHINES: AIDSS10RR023057 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHOU, Z HONG · 2006 to 2006
$1.6M
High-Throughput DNA SequencerS10OD021718 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2016 to 2016
$600k
PacBio RS Single Molecule, Real-Time (SMRT) DNA SequencerS10OD010794 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2012 to 2012
$600k
High Throughput DNA SequencerS10RR025496 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2009 to 2009
$500k
NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA260886NCI NIH HHS R01 CA281682NCI NIH HHS U54 CA217378NCRR NIH HHS S10 RR023057NCRR NIH HHS S10 RR025496NIAMS NIH HHS P30 AR075047NIGMS NIH HHS U24 GM116792NIH HHS S10 OD010794NIH HHS S10 OD021718
6 · The paper itself

Abstract

Background: Glioblastoma (GBM) is an aggressive brain malignancy characterized by therapeutic resistance and frequent recurrence. Glioma-initiating cells (GICs), also known as glioma stem cells (GSCs), contribute to these features through self-renewal and resistance to genotoxic stress. Radiation therapy can paradoxically replenish the GIC compartment by inducing stem-like properties in non-stem glioma cells. We investigated whether exosomes mediate bidirectional communication that maintains the balance between GIC and non-stem populations at steady state and following irradiation. Methods: Exosomes were isolated from GIC-enriched gliomaspheres and differentiated monolayer cultures of the patient-derived GBM lines HK-374 and HK-390. Vesicles were characterized by transmission electron microscopy, nanoparticle analysis, and detection of CD63. Recipient cells were exposed to exosomes with or without 4 Gy irradiation. GIC abundance and function were evaluated using a ZsGreen-ornithine decarboxylase degron reporter, sphere-formation assays, and extreme limiting dilution analysis. Exosomal protein cargo was characterized by liquid chromatography-tandem mass spectrometry and Gene Ontology enrichment analysis. Single-cell RNA sequencing was used to evaluate changes in cellular composition upon exosome treatment. Results: Isolated vesicles displayed characteristic exosomal morphology, a mean diameter of 41.6 +/- 14.7 nm, and CD63 expression. Irradiation produced a 12-fold increase in GIC reporter-positive cells among initially reporter-negative differentiated cells. Gliomasphere-derived exosomes significantly and dose-dependently suppressed this radiation-induced phenotype conversion and reduced functional GIC frequency and self-renewal in both patient-derived lines. Conversely, exosomes from GIC-depleted monolayer cultures increased reporter-positive cells two- to three-fold and enhanced the frequency and self-renewal of existing GICs. Proteomic analysis identified 1,796 exosomal proteins, including 336 differentially abundant candidates. Gliomasphere-derived exosomes were enriched in proteins associated with translation, RNA binding, actin organization, cytoskeletal regulation, and intracellular trafficking. Monolayer-derived exosomes were enriched in extracellular-matrix and stem-cell-niche components, including NID2, LAMA5, LAMB1, LAMB2, LAMC1, THBS1, TGFBI, IQGAP3, and APOE. Single-cell transcriptomic analysis showed that gliomasphere-derived exosomes prevented the radiation-induced expansion of neural progenitor-like cells, consistent with suppression of an induced stem-like state. Treatment of gliomaspheres with monolayer-derived exosomes left their overall cellular composition largely but enriched MYC-target, E2F-target, and oxidative-phosphorylation programs, suggesting that increased sphere formation may partly reflect enhanced proliferative capacity. Conclusions: GBM cells use exosomes to establish a bidirectional feedback circuit between stem-like and differentiated tumor-cell compartments. GIC-derived exosomes constrain radiation-induced conversion of non-stem glioma cells into GICs, whereas differentiated-cell-derived exosomes promote a niche that supports GIC maintenance and self-renewal, potentially through expansion of a mixed-vascular-like population containing neurovascular progenitors. Whether exosomal IQGAP3 contributes to the expansion of this GIC population remains to be determined. These findings identify exosome-mediated intercellular communication as a potential mechanism regulating GBM cellular homeostasis, treatment resistance, and recurrence.

Indexed as

cancer cell plasticityexosomesglioblastomaradiation

Identifiers

PMID42818566
PMCPMC13622525

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.