Evidence map›Paper›PMID 31420675›Full record

ArticleNeuro-oncology2019

Tumoricidal stem cell therapy enables killing in novel hybrid models of heterogeneous glioblastoma.

Andrew B Satterlee, Denise E Dunn, Donald C Lo, Simon Khagi, Shawn Hingtgen

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Combinatorial treatment of glioblastoma with temozolomide (TMZ) plus 5-ethynyl-2'-deoxyuridine (EdU).Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Auto-loaded TRAIL-exosomes derived from induced neural stem cells for brain cancer therapy.Journal of controlled release : official journal of the Controlled Release Society · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Andrew B SatterleeDivision of Pharmacoengineering and Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Denise E DunnCenter for Drug Discovery and Department of Neurobiology, Duke University Medical Center, Durham, North Carolina.
Donald C LoCenter for Drug Discovery and Department of Neurobiology, Duke University Medical Center, Durham, North Carolina.
Simon KhagiDivision of Hematology/Oncology, Department of Medicine; Division of Neuro-oncology, Department of Neurosurgery Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Shawn HingtgenDivision of Pharmacoengineering and Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USDuke Medical Center · USDuke University Hospital · US

Funding

Engineering stem cell therapies to understand and overcome glioblastoma adaptionR01NS099368 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HINGTGEN, SHAWN · 2017 to 2021
$1.6M
North Carolina Translational and Clinical Science Institute (NC TraCS) TL1TL1TR002491 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROY-CHAUDHURY, PRABIR · 2018 to 2022
$1.5M
NCATS NIH HHS TL1 TR002491NINDS NIH HHS R01 NS099368
6 · The paper itself

Abstract

backgroundTumor-homing tumoricidal neural stem cell (tNSC) therapy is a promising new strategy that recently entered human patient testing for glioblastoma (GBM). Developing strategies for tNSC therapy to overcome intratumoral heterogeneity, variable cancer cell invasiveness, and differential drug response of GBM will be essential for efficacious treatment response in the clinical setting. The aim of this study was to create novel hybrid tumor models and investigate the impact of GBM heterogeneity on tNSC therapies.

methodsWe used organotypic brain slice explants and distinct human GBM cell types to generate heterogeneous models ex vivo and in vivo. We then tested the efficacy of mono- and combination therapy with primary NSCs and fibroblast-derived human induced neural stem cells (iNSCs) engineered with tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) or enzyme-prodrug therapy.

resultsOptical imaging, molecular assays, and immunohistochemistry revealed that the hybrid models recapitulated key aspects of patient GBM, including heterogeneity in TRAIL sensitivity, proliferation, migration patterns, hypoxia, blood vessel structure, cancer stem cell populations, and immune infiltration. To explore the impact of heterogeneity on tNSC therapy, testing in multiple in vivo models showed that tNSC-TRAIL therapy potently inhibited tumor growth and significantly increased survival across all paradigms. Patterns of tumor recurrence varied with therapeutic (tNSC-TRAIL and/or tNSC-thymidine kinase), dose, and route of administration.

conclusionsThese studies report new hybrid models that accurately capture key aspects of GBM heterogeneity which markedly impact treatment response while demonstrating the ability of tNSC mono- and combination therapy to overcome certain aspects of heterogeneity for robust tumor kill.

Indexed as

AnimalsApoptosisBrain NeoplasmsCell ProliferationFemaleGlioblastomaHumansMiceMice, NudeNeoplastic Stem CellsNeural Stem CellsRatsRats, Sprague-DawleyStem Cell TransplantationTumor Cells, CulturedXenograft Model Antitumor Assaysglioblastomaheterogeneousstem celltherapy

Identifiers

PMID31420675
PMCPMC6917409
OpenAlexW2968336401

What OpenQuestion holds

Textmetadata
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.