ArticleAPL bioengineering2021
Modeling the tumor immune microenvironment for drug discovery using 3D culture.
Article in APL bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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
16 citing papers in PubMed.
- T Cells Tear Apart Confining Extracellular Matrix Via a Breaststroke-like Motion to Generate Migration Paths.bioRxiv : the preprint server for biology · 2025Article
- Exploring the Complexity of Cutaneous Squamous CellCarcinoma Microenvironment: Focus on Immune Cell Roles by Novel 3D In Vitro Models.Life (Basel, Switzerland) · 2025Review
- Review
- Multicompartmentalized Microvascularized Tumor-on-a-Chip to Study Tumor-Stroma Interactions and Drug Resistance in Ovarian Cancer.Cellular and molecular bioengineering · 2024Article
- Mechanical forces amplify TCR mechanotransduction in T cell activation and function.Applied physics reviews · 2024Review
- Changes of immune microenvironment in head and neck squamous cell carcinoma in 3D-4-culture compared to 2D-4-culture.Journal of translational medicine · 2023Article
- Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension.Frontiers in immunology · 2023Article
- Longitudinal bioluminescence imaging to monitor breast tumor growth and treatment response using the chick chorioallantoic membrane model.Scientific reports · 2022Article
- Nanoscale Tracking Combined with Cell-Scale Microrheology Reveals Stepwise Increases in Force Generated by Cancer Cell Protrusions.Nano letters · 2022Article
- Tumor Microenvironment and Hydrogel-Based 3D Cancer Models for In Vitro Testing Immunotherapies.Cancers · 2022Review
- Modelling the Tumor Microenvironment: Recapitulating Nano- and Micro-Scale Properties that Regulate Tumor Progression.Frontiers in cell and developmental biology · 2022Review
- Article
- 3D Cell Culture Models as Recapitulators of the Tumor Microenvironment for the Screening of Anti-Cancer Drugs.Cancers · 2021Review
- Review
- Enhanced mechanosensing of cells in synthetic 3D matrix with controlled biophysical dynamics.Nature communications · 2021Article
- The Therapeutic Potential of Tackling Tumor-Induced Dendritic Cell Dysfunction in Colorectal Cancer.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A few decades ago, the notion that a patient's own immune system could recognize and eliminate tumor cells was highly controversial; now, it is the basis for a thriving new field of cancer research, cancer immunology. With these new immune-based cancer treatments come the need for new complex preclinical models to assess their efficacy. Traditional therapeutics have often targeted the intrinsic growth of cancer cells and could, thus, be modeled with 2D monoculture. However, the next generation of therapeutics necessitates significantly greater complexity to model the ability of immune cells to infiltrate, recognize, and eliminate tumor cells. Modeling the physical and chemical barriers to immune infiltration requires consideration of extracellular matrix composition, architecture, and mechanobiology in addition to interactions between multiple cell types. Here, we give an overview of the unique properties of the tumor immune microenvironment, the challenges of creating physiologically relevant 3D culture models for drug discovery, and a perspective on future opportunities to meet this significant challenge.
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.