ReviewAdvanced drug delivery reviews2014
Microfluidic 3D models of cancer.
Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 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
81 citing papers in PubMed.
- PK-Informed Microphysiological Systems: From Dynamic Dosing to Quantitative In Vitro-In Vivo Translation.Pharmaceutics · 2026Review
- Uncovering the Potential of 3D Spheroids for Modeling the Cellular Crosstalk Within the Tumor Microenvironment in HNSCC.Biotechnology journal · 2026Review
- The Application of 3D Cell Culture in Thyroid Cancer.Annals of biomedical engineering · 2026Review
- Obesity, Inflammation, and Tumor Microenvironment in Three-Dimensional Models of Breast Cancer.Cells · 2026Review
- An Extracellular Matrix-Producing Subset of Cancer-Associated Fibroblasts Drives Chemoresistance in Breast Cancer via SRC Activation and G0S2 Upregulation.Cancer research · 2026Article
- Electromagnetic validation of a multichannel coplanar four-electrode bioimpedance sensing platform for perfused 3D tumor-on-chip systems.Journal of electrical bioimpedance · 2026Article
- Intravasation-On-µDevice (INVADE): Engineering Dynamic Vascular Interfaces to Study Cancer Cell Intravasation.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- The Latest Advances in Microfluidic DLD Cell Sorting Technology: The Optimization of Channel Design.Biosensors · 2025Review
- Advancing cancer research through 3D cell culture models.EXCLI journal · 2025Review
- Review
- Unveiling Nanoparticles: Recent Approaches in Studying the Internalization Pattern of Iron Oxide Nanoparticles in Mono- and Multicellular Biological Structures.Journal of functional biomaterials · 2024Review
- Assessing personalized responses to anti-PD-1 treatment using patient-derived lung tumor-on-chip.Cell reports. Medicine · 2024Article
- Application and prospect of microfluidic devices for rapid assay of cell activities in the tumor microenvironment.Biomicrofluidics · 2024Review
- Advances in screening hyperthermic nanomedicines in 3D tumor models.Nanoscale horizons · 2024Review
- A comprehensive review of 3D cancer models for drug screening and translational research.Cancer innovation · 2024Review
- Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Selection and Optimization of a Bioink Based on PANC-1- Plasma/Alginate/Methylcellulose for Pancreatic Tumour Modelling.Polymers · 2023Article
- Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images.Cancers · 2023Article
- Cancer 3D Models for Metallodrug Preclinical Testing.International journal of molecular sciences · 2023Review
- Combinatorial drug screening on 3D Ewing sarcoma spheroids using droplet-based microfluidics.iScience · 2023Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Despite advances in medicine and biomedical sciences, cancer still remains a major health issue. Complex interactions between tumors and their microenvironment contribute to tumor initiation and progression and also contribute to the development of drug resistant tumor cell populations. The complexity and heterogeneity of tumors and their microenvironment make it challenging to both study and treat cancer. Traditional animal cancer models and in vitro cancer models are limited in their ability to recapitulate human structures and functions, thus hindering the identification of appropriate drug targets and therapeutic strategies. The development and application of microfluidic 3D cancer models have the potential to overcome some of the limitations inherent to traditional models. This review summarizes the progress in microfluidic 3D cancer models, their benefits, and their broad application to basic cancer biology, drug screening, and drug discovery.
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.