ReviewBiophysical reviews2025
Computational and experimental advances in liver-on-a-chip technology for cancer research: a systematic review.
Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Metabolites involvement in the growth and spread of liver cancer.Liver research (Beijing, China) · 2025Review
- Numerical models for organ-on-a-chip: A systematic review and analyses.Biomicrofluidics · 2025Review
- Article
- Integrating computational fluid dynamics into organ-on-chip systems: a glioblastoma-centred design and validation framework.Frontiers in bioengineering and biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of numerical simulations with Liver-on-a-Chip (LoC) technology offers an innovative approach for studying liver physiology and pathology, especially in the context of liver cancer. Numerical simulations facilitate the optimization of microfluidic devices' design and deepen the understanding of fluid flow and mass transfer. However, despite significant advancements, challenges such as replicating the full complexity of the liver microenvironment and scaling up for high-throughput screening persist. This systematic review explores the current advancements in LoC devices, with a particular emphasis on their combined use of numerical simulations and experimental studies in liver cancer research. A comprehensive search across multiple databases, including ScienceDirect, Wiley Online Library, Scopus, Springer Link, Web of Science, and PubMed, was conducted to gather relevant literature. Our findings indicate that the combination of both techniques in this field is still rare, resulting in a final selection of 13 original research papers. This review underscores the importance of continued interdisciplinary research to refine these technologies and enhance their application in personalized medicine and cancer therapy. By consolidating existing studies, this review aims to highlight key advancements, identify current challenges, and propose future directions for this rapidly evolving field.
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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.