ReviewCancer letters2016
Recapitulation of complex transport and action of drugs at the tumor microenvironment using tumor-microenvironment-on-chip.
Review in Cancer letters, 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.
- Recapitulating In Vivo Pharmacokinetics and Size-Dependent Nanomedicine Delivery in a Microfluidic Platform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Review
- Structure-functionality relationship of collagen-fibrin interpenetrating hydrogels for engineered tumor-stroma models.Acta biomaterialia · 2026Article
- RACK1 attenuates pancreatic tumorigenesis by suppressing acinar-to-ductal metaplasia through inflammatory signaling modulation.Cellular oncology (Dordrecht, Netherlands) · 2025Article
- Taurine and proline promote lung tumour growth by co-regulating Azgp1/mTOR signalling pathway.NPJ precision oncology · 2025Article
- Tumor-microenvironment-on-a-chip: the construction and application.Cell communication and signaling : CCS · 2024Review
- A Systems Approach to Biomechanics, Mechanobiology, and Biotransport.Journal of biomechanical engineering · 2024Article
- Microphysiological systems for human aging research.Aging cell · 2024Review
- DCDA: CircRNA-Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder.Interdisciplinary sciences, computational life sciences · 2024Article
- Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Micro-engineering and nano-engineering approaches to investigate tumour ecosystems.Nature reviews. Cancer · 2023Review
- Fluid flow to mimic organ function in 3DAPL bioengineering · 2023Review
- Recent Advances on Cell Culture Platforms for In Vitro Drug Screening and Cell Therapies: From Conventional to Microfluidic Strategies.Advanced healthcare materials · 2023Review
- Spatiotemporal dissection of tumor microenvironment via in situ sensing and monitoring in tumor-on-a-chip.Biosensors & bioelectronics · 2023Article
- Bioprinting and its Use in Tumor-On-A-Chip Technology for Cancer Drug Screening: A Review.International journal of bioprinting · 2022Article
- Nanocomposite Scaffolds for Monitoring of Drug Diffusion in Three-Dimensional Cell Environments by Surface-Enhanced Raman Spectroscopy.Nano letters · 2021Article
- Tumor-on-a-chip: from bioinspired design to biomedical application.Microsystems & nanoengineering · 2021Review
- Engineering of biomaterials for tumor modeling.Materials today. Advances · 2020Article
- Lipid-Nucleic Acid Complexes: Physicochemical Aspects and Prospects for Cancer Treatment.Molecules (Basel, Switzerland) · 2020Review
- An engineered pancreatic cancer model with intra-tumoral heterogeneity of driver mutations.Lab on a chip · 2020Article
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
Abstract
Targeted delivery aims to selectively distribute drugs to targeted tumor tissues but not to healthy tissues. This can address many clinical challenges by maximizing the efficacy but minimizing the toxicity of anti-cancer drugs. However, a complex tumor microenvironment poses various barriers hindering the transport of drugs and drug delivery systems. New tumor models that allow for the systematic study of these complex environments are highly desired to provide reliable test beds to develop drug delivery systems for targeted delivery. Recently, research efforts have yielded new in vitro tumor models, the so called tumor-microenvironment-on-chip, that recapitulate certain characteristics of the tumor microenvironment. These new models show benefits over other conventional tumor models, and have the potential to accelerate drug discovery and enable precision medicine. However, further research is warranted to overcome their limitations and to properly interpret the data obtained from these models. In this article, key features of the in vivo tumor microenvironment that are relevant to drug transport processes for targeted delivery were discussed, and the current status and challenges for developing in vitro transport model systems were reviewed.
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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.