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Bioprinted, spatially defined breast tumor microenvironment models of intratumoral heterogeneity and drug resistance

肿瘤微环境 抗药性 乳腺肿瘤 肿瘤异质性 药品 计算生物学 癌症研究 生物 乳腺癌 医学 肿瘤细胞 药理学 遗传学 癌症
作者
Tianying Yuan,Xihong Fu,Rongcheng Hu,Xiaochun Zheng,Dong Jiang,Lanyu Jing,Xiaying Kuang,Zhongwei Guo,Luo Xu,Yixin Liu,Xuenong Zou,Gary D. Luker,Shengli Mi,Chun Liu,Wei Sun
出处
期刊:Trends in Biotechnology [Elsevier BV]
卷期号:42 (11): 1523-1550 被引量:25
标识
DOI:10.1016/j.tibtech.2024.06.007
摘要

Bioprinted breast tumor microenvironment (TME) models with spatial heterogeneity recaptured a well-defined cancer cell-rich stroma structure. Heterogeneity in angiogenesis and extracellular matrix (ECM) stiffness was found in bioprinted TME models. Intercellular crosstalk was identified in bioprinted TME models, which was associated with tumor angiogenesis and ECM remodeling. Bioprinted TME models demonstrated spatially heterogeneous drug resistance in breast cancer. Cellular, extracellular matrix (ECM), and spatial heterogeneity of tumor microenvironments (TMEs) regulate disease progression and treatment efficacy. Developing in vitro models that recapitulate the TME promises to accelerate studies of tumor biology and identify new targets for therapy. Here, we used extrusion-based, multi-nozzle 3D bioprinting to spatially pattern triple-negative MDA-MB-231 breast cancer cells, endothelial cells (ECs), and human mammary cancer-associated fibroblasts (HMCAFs) with biomimetic ECM inks. Bioprinted models captured key features of the spatial architecture of human breast tumors, including varying-sized dense regions of cancer cells and surrounding microvessel-rich stroma. Angiogenesis and ECM stiffening occurred in the stromal area but not the cancer cell-rich (CCR) regions, mimicking pathological changes in patient samples. Transcriptomic analyses revealed upregulation of angiogenesis-related and ECM remodeling-related signatures in the stroma region and identified potential ligand–receptor (LR) mediators of these processes. Breast cancer cells in distinct parts of the bioprinted TME showed differing sensitivities to chemotherapy, highlighting environmentally mediated drug resistance. In summary, our 3D-bioprinted tumor model will act as a platform to discover integrated functions of the TME in cancer biology and therapy. Cellular, extracellular matrix (ECM), and spatial heterogeneity of tumor microenvironments (TMEs) regulate disease progression and treatment efficacy. Developing in vitro models that recapitulate the TME promises to accelerate studies of tumor biology and identify new targets for therapy. Here, we used extrusion-based, multi-nozzle 3D bioprinting to spatially pattern triple-negative MDA-MB-231 breast cancer cells, endothelial cells (ECs), and human mammary cancer-associated fibroblasts (HMCAFs) with biomimetic ECM inks. Bioprinted models captured key features of the spatial architecture of human breast tumors, including varying-sized dense regions of cancer cells and surrounding microvessel-rich stroma. Angiogenesis and ECM stiffening occurred in the stromal area but not the cancer cell-rich (CCR) regions, mimicking pathological changes in patient samples. Transcriptomic analyses revealed upregulation of angiogenesis-related and ECM remodeling-related signatures in the stroma region and identified potential ligand–receptor (LR) mediators of these processes. Breast cancer cells in distinct parts of the bioprinted TME showed differing sensitivities to chemotherapy, highlighting environmentally mediated drug resistance. In summary, our 3D-bioprinted tumor model will act as a platform to discover integrated functions of the TME in cancer biology and therapy. Cellular, extracellular matrix (ECM), and spatial heterogeneity of tumor microenvironments (TMEs) regulate disease progression and treatment efficacy. Developing in vitro models that recapitulate the TME promises to accelerate studies of tumor biology and identify new targets for therapy. Here, we used extrusion-based, multi-nozzle 3D bioprinting to spatially pattern triple-negative MDA-MB-231 breast cancer cells, endothelial cells (ECs), and human mammary cancer-associated fibroblasts (HMCAFs) with biomimetic ECM inks. Bioprinted models captured key features of the spatial architecture of human breast tumors, including varying-sized dense regions of cancer cells and surrounding microvessel-rich stroma. Angiogenesis and ECM stiffening occurred in the stromal area but not the cancer cell-rich (CCR) regions, mimicking pathological changes in patient samples. Transcriptomic analyses revealed upregulation of angiogenesis-related and ECM remodeling-related signatures in the stroma region and identified potential ligand–receptor (LR) mediators of these processes. Breast cancer cells in distinct parts of the bioprinted TME showed differing sensitivities to chemotherapy, highlighting environmentally mediated drug resistance. In summary, our 3D-bioprinted tumor model will act as a platform to discover integrated functions of the TME in cancer biology and therapy. Cellular, extracellular matrix (ECM), and spatial heterogeneity of tumor microenvironments (TMEs) regulate disease progression and treatment efficacy. Developing in vitro models that recapitulate the TME promises to accelerate studies of tumor biology and identify new targets for therapy. Here, we used extrusion-based, multi-nozzle 3D bioprinting to spatially pattern triple-negative MDA-MB-231 breast cancer cells, endothelial cells (ECs), and human mammary cancer-associated fibroblasts (HMCAFs) with biomimetic ECM inks. Bioprinted models captured key features of the spatial architecture of human breast tumors, including varying-sized dense regions of cancer cells and surrounding microvessel-rich stroma. Angiogenesis and ECM stiffening occurred in the stromal area but not the cancer cell-rich (CCR) regions, mimicking pathological changes in patient samples. Transcriptomic analyses revealed upregulation of angiogenesis-related and ECM remodeling-related signatures in the stroma region and identified potential ligand–receptor (LR) mediators of these processes. Breast cancer cells in distinct parts of the bioprinted TME showed differing sensitivities to chemotherapy, highlighting environmentally mediated drug resistance. In summary, our 3D-bioprinted tumor model will act as a platform to discover integrated functions of the TME in cancer biology and therapy. Graphical abstract additive manufacturing technology via spatial and temporal deposition of cells, biomaterials, proteins, and other bioactive substances to fabricate customized 3D tissue-like structures in a controlled layer-by-layer stacking. physiological process by which new blood vessels form from pre-existing vessels. This involves several key steps: activation of ECs, sprouting of new vessel branches, formation of the vessel lumen, and the subsequent maturation and stabilization of the new vessels. formulated material used in 3D bioprinting to produce engineered live tissues, comprising a combination of living cells and biocompatible hydrogels. in vitro 3D miniaturized and self-assembled tumor-mimicking structures that originate from patient-derived tumor cells or genetically programmed induced pluripotent stem cells. complex microporous network of biomacromolecules, including proteins, proteoglycans, glycoproteins, and polysaccharides, providing structural support for surrounding cells and engaging in dynamic interactions with cells. 3D network of polymers with highly porous structures, enabling the absorption and preservation of large amounts of water. Most natural hydrogels are biocompatible. in vivo animal models established by transplanting tumor tissues from a patient into immunodeficient mice. variation in cellular and molecular characteristics that occurs in different regions within a single tumor. Spatial heterogeneity encompasses the diverse distribution of cellular composition, genetic and epigenetic variability, biophysical properties, vascularization, and therapeutic response throughout the TME, affecting cancer progression and drug resistance. complex and dynamic ecosystem surrounding a tumor, comprising diverse populations of cancerous and neighboring non-malignant cells, along with noncellular components, such as ECM constitutions and signaling molecules.
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