Evidence map›Paper›PMID 39101329›Full record

ArticleAdvanced healthcare materials2024

Rapid Biofabrication of an Advanced Microphysiological System Mimicking Phenotypical Heterogeneity and Drug Resistance in Glioblastoma.

Sirjana Pun, Anusha Prakash, Dalee Demaree, Daniel Pomeranz Krummel, Giuseppe Sciumè, Soma Sengupta, Riccardo Barrile

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Understanding Glioblastoma Dynamics Using 3D Organoids and Engineered Extracellular Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors.

Sirjana PunDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.ORCID 0000-0002-2090-8804
Anusha PrakashDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Dalee DemareeDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Daniel Pomeranz KrummelDepartment of Neurology, University of Cincinnati, Cincinnati, OH, 45219, USA.ORCID 0000-0003-3928-0786
Giuseppe SciumèInstitute of Mechanics and Engineering-12 M, University of Bordeaux, Bordeaux, 33607, France.
Soma SenguptaDepartment of Neurology, University of Cincinnati, Cincinnati, OH, 45219, USA.
Riccardo BarrileDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.ORCID 0000-0002-7301-3959

Funding

University of Cincinnati, Neurobiology Research Center Research AwardUniversity of Cincinnati, the Brain Tumor Center Research Award
6 · The paper itself

Abstract

Microphysiological systems (MPSs) reconstitute tissue interfaces and organ functions, presenting a promising alternative to animal models in drug development. However, traditional materials like polydimethylsiloxane (PDMS) often interfere by absorbing hydrophobic molecules, affecting drug testing accuracy. Additive manufacturing, including 3D bioprinting, offers viable solutions. GlioFlow3D, a novel microfluidic platform combining extrusion bioprinting and stereolithography (SLA) is introduced. GlioFlow3D integrates primary human cells and glioblastoma (GBM) lines in hydrogel-based microchannels mimicking vasculature, within an SLA resin framework using cost-effective materials. The study introduces a robust protocol to mitigate SLA resin cytotoxicity. Compared to PDMS, GlioFlow3D demonstrated lower small molecule absorption, which is relevant for accurate testing of small molecules like Temozolomide (TMZ). Computational modeling is used to optimize a pumpless setup simulating interstitial fluid flow dynamics in tissues. Co-culturing GBM with brain endothelial cells in GlioFlow3D showed enhanced CD133 expression and TMZ resistance near vascular interfaces, highlighting spatial drug resistance mechanisms. This PDMS-free platform promises advanced drug testing, improving preclinical research and personalized therapy by elucidating complex GBM drug resistance mechanisms influenced by the tissue microenvironment.

Indexed as

BioprintingDrug Resistance, NeoplasmGlioblastomaTemozolomideBrain NeoplasmsCell Line, TumorCoculture TechniquesDimethylpolysiloxanesHumansHydrogelsLab-On-A-Chip DevicesMicrophysiological SystemsPrinting, Three-DimensionalStereolithographyDimethylpolysiloxanesHydrogelsTemozolomide3D printingbioprintingglioblastomamicrophysiological systemsorgan‐on‐Chiprapid prototyping

Identifiers

PMID39101329
PMCPMC11616263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.