ReviewCancers2022
The Advances in Glioblastoma On-a-Chip for Therapy Approaches.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Decoding Glioblastoma Complexity Through Extracellular Vesicles, Organ-on-Chip Models, and Deep Learning.Cells · 2026Review
- Review
- Translational Models for Glioblastoma: Revolutionizing Drug Development and Personalized Medicine through Clinical Insights.Theranostics · 2026Review
- Bridging the Gap: How Organ-on-a-Chip Technology Facilitates the Battle against Glioma.Small science · 2026Review
- Review
- Evolution of Preclinical Models for Glioblastoma Modelling and Drug Screening.Current oncology reports · 2025Review
- Recent Developments in Glioblastoma-On-A-Chip for Advanced Drug Screening Applications.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Co-culture models for investigating cellular crosstalk in the glioma microenvironment.Cancer pathogenesis and therapy · 2024Review
- Microphysiological Blood-Brain Barrier Systems for Disease Modeling and Drug Development.Advanced healthcare materials · 2024Review
- Hybrid-integrated devices for mimicking malignant brain tumors ("tumor-on-a-chip") forFrontiers in medicine · 2024Review
- Engineering the glioblastoma microenvironment with bioactive nanoparticles for effective immunotherapy.RSC advances · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
This systematic review aimed to verify the use of microfluidic devices in the process of implementing and evaluating the effectiveness of therapeutic approaches in glioblastoma on-a-chip, providing a broad view of advances to date in the use of this technology and their perspectives. We searched studies with the variations of the keywords "Glioblastoma", "microfluidic devices", "organ-on-a-chip" and "therapy" of the last ten years in PubMed and Scopus databases. Of 446 articles identified, only 22 articles were selected for analysis according to the inclusion and exclusion criteria. The microfluidic devices were mainly produced by soft lithography technology, using the PDMS material (72%). In the microenvironment, the main extracellular matrix used was collagen type I. Most studies used U87-MG glioblastoma cells from humans and 31.8% were co-cultivated with HUVEC, hCMEC/D3, and astrocytes. Chemotherapy was the majority of therapeutic approaches, assessing mainly the cellular viability and proliferation. Furthermore, some alternative therapies were reported in a few studies (22.6%). This study identified a diversity of glioblastoma on-a-chip to assess therapeutic approaches, often using intermediate levels of complexity. The most advanced level implemented the intersection between different biological systems (liver-brain or intestine-liver-brain), BBB model, allowing in vitro studies with greater human genetic similarity, reproducibility, and low cost, in a highly customizable platform.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.