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Tumor microenvironment is a complex niche consisting of cancer cells and stromal cells in a network of extracellular matrix proteins and various soluble factors. Dynamic interactions among cellular and non-cellular components of the tumor microenvironment regulate tumor initiation and progression. Fibroblasts are the most abundant stromal cell type and dynamically interact with cancer cells both in primary tumors and in metastases. Cancer cells activate resident fibroblasts to produce and secrete soluble signaling molecules that support proliferation, migration, matrix invasion, and drug resistance of cancer cell and tumor angiogenesis. In recent years, various forms of three-dimensional tumor models have been developed to study tumor–stromal interactions and to identify anti-cancer drugs that block these interactions. There is currently a technological gap in development of tumor models that are physiologically relevant, scalable, and allow convenient, on-demand addition of desired components of the tumor microenvironment. In this review, we discuss three studies from our group that focus on developing bioengineered models to study tumor-stromal signaling. We will present these studies chronologically and based on their increasing complexity. We will discuss the validation of the models using a CXCL12-CXCR4 chemokine-receptor signaling present among activated fibroblasts and breast cancer cells in solid tumors, highlight the advantages and shortcomings of the models, and conclude with our perspectives on their applications. Impact statement Tumor stroma plays an important role in progression of cancers to a fatal metastatic disease. Modern treatment strategies are considering targeting tumor stroma to improve outcomes for cancer patients. A current challenge to develop stroma-targeting therapeutics is the lack of preclinical physiologic tumor models. Animal models widely used in cancer research lack human stroma and are not amenable to screening of chemical compounds for cancer drug discovery. In this review, we outline in vitro three-dimensional tumor models that we have developed to study the interactions among cancer cells and stromal cells. We describe development of the tumor models in a modular fashion, from a spheroid model to a sophisticated organotypic model, and discuss the importance of using correct physiologic models to recapitulate tumor-stromal signaling. These biomimetic tumor models will facilitate understanding of tumor-stromal signaling biology and provide a scalable approach for testing and discovery of cancer drugs.
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This content will become publicly available on April 1, 2026
A bioprinted animal patient-derived breast cancer model for anti-cancer drug screening
Animal models are commonly used for drug screening before clinical trials. However, developing these models is time-consuming, and the results obtained from these models may differ from clinical outcomes due to the differences between animals and humans. To this end, 3D bioprinting offers several advantages for drug screening, such as high reproducibility and improved throughput, in addition to the human cells that can be used to generate these models. Here, we report the development of an animal patient-derived in vitro breast cancer model for drug screening using digital light processing (DLP) bioprinting. These bioprinted models demonstrated good cytocompatibility and preserved phenotypes of the cells. DLP enabled rapid fabrication with blood vessel-like channels to replicate, to a good extent, the tumor microenvironment. Our findings suggested that the improved microenvironment, provided by vascular structures within the bioprinted models, played a crucial role in reducing the chemoresistance of drugs. In addition, the correlation of the in vitro and in vivo drug-screening results was preliminarily performed to evaluate the predictive feasibility of this bioprinted model, suggesting a potential strategy for the design of future drug-testing platforms.
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- Award ID(s):
- 2225698
- PAR ID:
- 10635634
- Publisher / Repository:
- Elsevier
- Date Published:
- Journal Name:
- Materials Today Bio
- Volume:
- 31
- Issue:
- C
- ISSN:
- 2590-0064
- Page Range / eLocation ID:
- 101449
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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