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Wang W, Zhang L, O'Dell R, Yin Z, Yu D, Chen H, Liu J, Wang H. Microsphere-Enabled Modular Formation of Miniaturized In Vitro Breast Cancer Models. Small 2024; 20:e2307365. [PMID: 37990372 PMCID: PMC11045325 DOI: 10.1002/smll.202307365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Indexed: 11/23/2023]
Abstract
In search of effective therapeutics for breast cancers, establishing physiologically relevant in vitro models is of great benefit to facilitate the clinical translation. Despite extensive progresses, it remains to develop the tumor models maximally recapturing the key pathophysiological attributes of their native counterparts. Therefore, the current study aimed to develop a microsphere-enabled modular approach toward the formation of in vitro breast tumor models with the capability of incorporating various selected cells while retaining spatial organization. Poly (lactic-co-glycolic acid) microspheres (150-200 mm) with tailorable pore size and surface topography are fabricated and used as carriers to respectively lade with breast tumor-associated cells. Culture of cell-laden microspheres assembled within a customized microfluidic chamber allowed to form 3D tumor models with spatially controlled cell distribution. The introduction of endothelial cell-laden microspheres into cancer-cell laden microspheres at different ratios would induce angiogenesis within the culture to yield vascularized tumor. Evaluation of anticancer drugs such as doxorubicin and Cediranib on the tumor models do demonstrate corresponding physiological responses. Clearly, with the ability to modulate microsphere morphology, cell composition and spatial distribution, microsphere-enabled 3D tumor tissue formation offers a high flexibility to satisfy the needs for pathophysiological study, anticancer drug screening or design of personalized treatment.
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Affiliation(s)
- Weiwei Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
| | - Li Zhang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
- Department of Respiratory Medicine, Zhongnan Hospital Wuhan University, Wuhan, Hubei, 361005, China
- Hubei Provincial Engineering Research Center of Minimally Invasive Cardiovascular Surgery, Wuhan, Hubei, 361005, China
- Wuhan Clinical Research Center of Minimally Invasive Treatment of Structural Heart Disease, Wuhan, Hubei, 361005, China
| | - Robert O'Dell
- Department of Physics, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
| | - Zhuozhuo Yin
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
| | - Dou Yu
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Hexin Chen
- Department of Biological Sciences, University of South Carolina, Columbia, SC, 29205, USA
| | - JinPing Liu
- Department of Respiratory Medicine, Zhongnan Hospital Wuhan University, Wuhan, Hubei, 361005, China
- Hubei Provincial Engineering Research Center of Minimally Invasive Cardiovascular Surgery, Wuhan, Hubei, 361005, China
- Wuhan Clinical Research Center of Minimally Invasive Treatment of Structural Heart Disease, Wuhan, Hubei, 361005, China
| | - Hongjun Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
- Semcer Center for Healthcare Innovation, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ, 07030, USA
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Weng B, Li M, Zhu W, Peng J, Mao X, Zheng Y, Zhang C, Pan S, Mao H, Zhao J. Distinguished biomimetic dECM system facilitates early detection of metastatic breast cancer cells. Bioeng Transl Med 2024; 9:e10597. [PMID: 38193110 PMCID: PMC10771560 DOI: 10.1002/btm2.10597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/08/2023] [Accepted: 08/22/2023] [Indexed: 01/10/2024] Open
Abstract
Breast cancer is the most prevalent malignant tumor affecting women's health. Bone is the most common distant metastatic organ, worsening the quality of life and increasing the mortality of patients. Early detection of breast cancer bone metastasis is urgent for halting disease progression and improving tumor prognosis. Recently, extracellular matrix (ECM) with biomimetic tissue niches opened a new avenue for tumor models in vitro. Here, we developed a biomimetic decellularized ECM (dECM) system to recapitulate bone niches at different situations, bone mimetic dECM from osteoblasts (BM-ECM) and bone tumor mimetic dECM from osteosarcoma cells (OS-ECM). The two kinds of dECMs exhibited distinct morphology, protein composition, and distribution. Interestingly, highly metastatic breast cancer cells tended to adhere and migrate on BM-ECM, while lowly metastatic breast cancer cells preferred the OS-ECM niche. Epithelial-to-mesenchymal transition was a potential mechanism to initiate the breast cancer cell migration on different biomimetic dECMs. Importantly, in the nude mice model, the dECM system captured metastatic breast cancer cells as early as 10 days after orthotopic transplantation in mammary gland pads, with higher signal on BM-ECM than that on OS-ECM. Collectively, the biomimetic dECM system might be a promising tumor model to distinguish the metastatic ability of breast cancer cells in vitro and to facilitate early detection of metastatic breast cancer cells in vivo, contributing to the diagnosis of breast cancer bone metastasis.
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Affiliation(s)
- Bowen Weng
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
| | - Mei Li
- Key Laboratory of Precision Medicine for Atherosclerotic Diseases of Zhejiang ProvinceThe First Affiliated Hospital of Ningbo UniversityNingboZhejiangChina
| | - Weilai Zhu
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
| | - Jing Peng
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
| | - Xufeng Mao
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
- Department of Orthopaedic SurgeryThe First Affiliated Hospital of Ningbo UniversityNingboZhejiangChina
| | - Yanan Zheng
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
| | - Chi Zhang
- Department of Orthopaedic SurgeryThe First Affiliated Hospital of Ningbo UniversityNingboZhejiangChina
| | - Senhao Pan
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
| | - Haijiao Mao
- Department of Orthopaedic SurgeryThe First Affiliated Hospital of Ningbo UniversityNingboZhejiangChina
| | - Jiyuan Zhao
- Zhejiang Key Laboratory of PathophysiologySchool of Medicine, Ningbo UniversityNingboZhejiangChina
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Kaur G, Evans DM, Teicher BA, Coussens NP. Complex Tumor Spheroids, a Tissue-Mimicking Tumor Model, for Drug Discovery and Precision Medicine. SLAS Discov 2021; 26:1298-1314. [PMID: 34772287 DOI: 10.1177/24725552211038362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Malignant tumors are complex tissues composed of malignant cells, vascular cells, structural mesenchymal cells including pericytes and carcinoma-associated fibroblasts, infiltrating immune cells, and others, collectively called the tumor stroma. The number of stromal cells in a tumor is often much greater than the number of malignant cells. The physical associations among all these cell types are critical to tumor growth, survival, and response to therapy. Most cell-based screens for cancer drug discovery and precision medicine validation use malignant cells in isolation as monolayers, embedded in a matrix, or as spheroids in suspension. Medium- and high-throughput screening with multiple cell lines requires a scalable, reproducible, robust cell-based assay. Complex spheroids include malignant cells and two normal cell types, human umbilical vein endothelial cells and highly plastic mesenchymal stem cells, which rapidly adapt to the malignant cell microenvironment. The patient-derived pancreatic adenocarcinoma cell line, K24384-001-R, was used to explore complex spheroid structure and response to anticancer agents in a 96-well format. We describe the development of the complex spheroid assay as well as the growth and structure of complex spheroids over time. Subsequently, we demonstrate successful assay miniaturization to a 384-well format and robust performance in a high-throughput screen. Implementation of the complex spheroid assay was further demonstrated with 10 well-established pancreatic cell lines. By incorporating both human stromal and tumor components, complex spheroids might provide an improved model for tumor response in vivo.
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Affiliation(s)
- Gurmeet Kaur
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | | | - Beverly A Teicher
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
| | - Nathan P Coussens
- Molecular Pharmacology Laboratories, Applied and Developmental Research Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
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