ArticleMolecular pharmaceutics2016
Characterization of Cell-Type-Specific Drug Transport and Resistance of Breast Cancers Using Tumor-Microenvironment-on-Chip.
Article in Molecular pharmaceutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 51 citations in OpenAlex.
- Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions.FEBS open bio · 2025Review
- DNA Origami-Cyanine Nanocomplex for Precision Imaging of KRAS-Mutant Pancreatic Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024Review
- Vascularized tumor models for the evaluation of drug delivery systems: a paradigm shift.Drug delivery and translational research · 2024Review
- Bridging Smart Nanosystems with Clinically Relevant Models and Advanced Imaging for Precision Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Tumor-Microenvironment-on-Chip Platform for Assessing Drug Response in 3D Dynamic Culture.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Microphysiological systems as reliable drug discovery and evaluation tools: Evolution from innovation to maturity.Biomicrofluidics · 2023Review
- Deciphering Common Traits of Breast and Ovarian Cancer Stem Cells and Possible Therapeutic Approaches.International journal of molecular sciences · 2023Review
- In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening.Biosensors · 2023Review
- The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023Review
- Predictive Design and Analysis of Drug Transport by Multiscale Computational Models Under Uncertainty.Pharmaceutical research · 2023Review
- Tumor-on-a-chip model for advancement of anti-cancer nano drug delivery system.Journal of nanobiotechnology · 2022Review
- Review
- Microengineered 3D Tumor Models for Anti-Cancer Drug Discovery in Female-Related Cancers.Annals of biomedical engineering · 2021Review
- Diversity Models and Applications of 3D Breast Tumor-on-a-Chip.Micromachines · 2021Review
- Organ-on-a-chip technology for nanoparticle research.Nano convergence · 2021Review
- Breast tumor-on-chip models: From disease modeling to personalized drug screening.Journal of controlled release : official journal of the Controlled Release Society · 2021Review
- Oncoimmunology Meets Organs-on-Chip.Frontiers in molecular biosciences · 2021Review
- Studying Adipose Tissue in the Breast Tumor Microenvironment In Vitro: Progress and Opportunities.Tissue engineering and regenerative medicine · 2020Review
- Modelling of combination therapy using implantable anticancer drug delivery with thermal ablation in solid tumor.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Heterogeneous response and resistance of cancer cells to chemotherapeutic drugs pose a significant challenge for successful cancer treatments. In this study, an integrated experimental and theoretical analysis of cellular drug transport was developed. The experimental platform, called tumor-microenvironment-on-chip (T-MOC), is a microfluidic platform where cancer cells were cultured within a three-dimensional extracellular matrix perfused with interstitial fluid. Three types of human breast cancer cell lines (MCF-7, MDA-MB-231, and SUM-159PT) were cultured on this T-MOC platform, and their drug response and resistance to doxorubicin were characterized by time-lapse quantitative fluorescence microscopy. To study the effects of nanoparticle-mediated drug delivery, the transport and action of doxorubicin encapsulated nanoparticles were also examined. Based on the experimental data obtained, a theoretical model was developed to quantify and ultimately predict the cellular transport processes of drugs cell-type specifically. The results demonstrate that the cellular drug transport can be cell-type-specifically quantified by rate constants representing the uptake and efflux of doxorubicin across the cellular membrane.
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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.