Evidence map›Paper›PMID 40358200›Full record

ArticleCells2025

Optimization of In-Situ Exosome Enrichment Methodology On-a-Chip to Mimic Tumor Microenvironment Induces Cancer Stemness in Glioblastoma Tumor Model.

Saleheh Saffar, Ali Ghiaseddin, Shiva Irani, Amir Ali Hamidieh

Abstract read
In one paragraph

Article in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Saleheh SaffarDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran.ORCID 0009-0001-3571-8149
Ali GhiaseddinDepartment of Chemistry, Michigan State University, East Lansing, MI 48824-1322, USA.ORCID 0000-0003-0168-8890
Shiva IraniDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran.ORCID 0000-0002-4202-9931
Amir Ali HamidiehPediatric Cell and Gene Therapy Research Center, Gene, Cell & Tissue Research Institute, Tehran University of Medical Sciences, Tehran 1419733151, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding cancer etiology requires replicating the tumor microenvironment (TME), which significantly differs from standard in vitro cultures due to nutrient limitations, acidic pH, and oxidative stress. To address this, a microfluidic bioreactor (µBR) with an expanded culture surface was designed to optimize exosome enrichment and glioblastoma cell behavior. Using response surface methodology (RSM), key parameters-including medium exchange volume and interval time-were optimized, leading to about a six-fold increase in exosome concentration without artificial inducers. Characterization techniques (SEM, AFM, DLS, RT-qPCR, and ELISA) confirmed significant alterations in exosome profiles, cancer stemness, and epithelial-mesenchymal transition (EMT)-related markers. Notably, EMT was induced in the µBR system, with a six-fold increase in HIF-1α protein despite normoxic conditions, suggesting activation of compensatory signaling pathways. Molecular analysis showed upregulation of

Indexed as

Brain NeoplasmsExosomesGlioblastomaLab-On-A-Chip DevicesNeoplastic Stem CellsTumor MicroenvironmentBioreactorsCell Line, TumorEpithelial-Mesenchymal TransitionHumansHypoxia-Inducible Factor 1, alpha SubunitModels, BiologicalHypoxia-Inducible Factor 1, alpha Subunitcancer stemnessexosome enrichmentglioblastomamicrobioreactoroptimizationresponse surface methodologytumor microenvironment

Identifiers

PMID40358200
PMCPMC12071966

What Socratic 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 Socratic graph.