ArticleMicromachines2019
Three-Dimensional Modeling of Avascular Tumor Growth in Both Static and Dynamic Culture Platforms.
Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- The logarithmic phase as a therapeutic direction: evaluating pharmacological strategies against cancer progression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Micropillars in Cell Mechanobiology: Design, Fabrication, Characterization, and Biosensing Applications.Small science · 2025Review
- Capacity and limitations of microfluidic flow to increase solute transport in three-dimensional cell cultures.Journal of the Royal Society, Interface · 2025Article
- Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion.Communications engineering · 2024Article
- 3D-Printed Tumor-on-a-Chip Model for Investigating the Effect of Matrix Stiffness on Glioblastoma Tumor Invasion.Biomimetics (Basel, Switzerland) · 2023Article
- Engineering human spinal microphysiological systems to model opioid-induced tolerance.Bioactive materials · 2023Article
- Analytical Models of Intra- and Extratumoral Cell Interactions at Avascular Stage of Growth in the Presence of Targeted Chemotherapy.Bioengineering (Basel, Switzerland) · 2023Article
- Article
- Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy.PLoS computational biology · 2021Article
- RhoA and Rac1 in Liver Cancer Cells: Induction of Overexpression Using Mechanical Stimulation.Micromachines · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Microfluidic cell culture platforms are ideal candidates for modeling the native tumor microenvironment because they can precisely reconstruct in vivo cellular behavior. Moreover, mathematical modeling of tumor growth can pave the way toward description and prediction of growth pattern as well as improving cancer treatment. In this study, a modified mathematical model based on concentration distribution is applied to tumor growth in both conventional static culture and dynamic microfluidic cell culture systems. Apoptosis and necrosis mechanisms are considered as the main inhibitory factors in the model, while tumor growth rate and nutrient consumption rate are modified in both quiescent and proliferative zones. We show that such modification can better predict the experimental results of tumor growth reported in the literature. Using numerical simulations, the effects of the concentrations of the nutrients as well as the initial tumor radius on the tumor growth are investigated and discussed. Furthermore, tumor growth is simulated by taking into account the dynamic perfusion into the proposed model. Subsequently, tumor growth kinetics in a three-dimensional (3D) microfluidic device containing a U-shaped barrier is numerically studied. For this case, the effect of the flow rate of culture medium on tumor growth is investigated as well. Finally, to evaluate the impact of the trap geometry on the tumor growth, a comparison is made between the tumor growth kinetics in two frequently used traps in microfluidic cell culture systems, i.e., the U-shaped barrier and microwell structures. The proposed model can provide insight into better predicting the growth and development of avascular tumor in both static and dynamic cell culture platforms.
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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.