Modeling cancer metastasis using acoustically bio-printed patient-derived 3D tumor microtissues

Chen, Hui; Du, Liang; Li, Juan; Wu, Zhuhao; Gong, Zhiyi; Xia, Yu; Zhang, Fan; Qian, Qun; Ding, Zhao; Hu, Hang; Guo, Shishang

doi:10.1039/d1tb02789a

Cited by 19 publications

(14 citation statements)

References 51 publications

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“…Our acoustic droplet printing platform is capable of printing droplets with high cell viability in a controllable, precise, and biocompatible manner. [62,63] Figure 2a shows the schematic dia-gram of the acoustic printing device. The focused surface acoustic waves (FSAWs) created a concentrated region of high intensity energy in the geometric center.…”

Section: Generation Of Controllable Acoustic Dropletsmentioning

confidence: 99%

Acoustic Printing of Patient‐Derived Organoids That Preserve Tumor Microenvironment for Personalized Drug Screening

Gong

Mao

Huang

et al. 2023

Adv Materials Technologies

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Patient personalized treatment models can predict treatment response and assist in determining the optimal treatment option for individual patients. The tumor microenvironment mediates tumor development and prognosis. However, current tumor models such as patient-derived tumor xenograft (PDX) and 2D culture models fail to preserve the patient-derived tumor microenvironment. Herein, a technique for acoustic-droplet-printing-of-patient-derived-organoids (ADPDOs) is reported, which allows for high-throughput, high-viability, rapid, and uniform printing preparation of patient-derived organoids. In particular, the ADPDOs are uniform in size and retain the parental tumor/fibroblast cell composition, mimicking a more realistic 3D environment of parent tissue in vitro, with histological features and protein expression closer to that of the tissue. Therefore, ADPDOs hold promise for application in personalized precision therapy for different patients. The authors test the clinical drug treatment response of different patients in a fast and convenient way to predict the therapeutic effect of various patients. Thus, this technique has great potential for predicting treatment response to personalized cancer therapy and constructing complex 3D tissue models.

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Section: Generation Of Controllable Acoustic Dropletsmentioning

confidence: 99%

Acoustic Printing of Patient‐Derived Organoids That Preserve Tumor Microenvironment for Personalized Drug Screening

Gong

Mao

Huang

et al. 2023

Adv Materials Technologies

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“…Recently, Chen et al presented an acoustic bioprinting approach to reconstruct the tumor microenvironment (Figure 29c). [423] This system incorporated CAFs into tumor microtissues, enabling to quantitatively study the crosstalking of CAFs and tumor cells. Furthermore, an improvement was made to the acoustic printing approach based on cell-loaded hydrogel droplets, which established more complex architectures of tumor tissue (Figure 29d).…”

Section: Quantitative Studying Of Tumor Microenvironmentmentioning

confidence: 99%

“…Reproduced with permission. [ 423 ] Copyright 2022 The Royal Society of Chemistry. d) Acoustic droplet printing of tumor microenvironment with designated structures including grid‐like array, cross structure, and pyramid structure.…”

Section: Biomedical Applications Of Heterogeneous Tumor Modelsmentioning

confidence: 99%

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Engineering Heterogeneous Tumor Models for Biomedical Applications

Wu,

Huang,

Wang

et al. 2023

Advanced Science

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Tumor tissue engineering holds great promise for replicating the physiological and behavioral characteristics of tumors in vitro. Advances in this field have led to new opportunities for studying the tumor microenvironment and exploring potential anti‐cancer therapeutics. However, the main obstacle to the widespread adoption of tumor models is the poor understanding and insufficient reconstruction of tumor heterogeneity. In this review, the current progress of engineering heterogeneous tumor models is discussed. First, the major components of tumor heterogeneity are summarized, which encompasses various signaling pathways, cell proliferations, and spatial configurations. Then, contemporary approaches are elucidated in tumor engineering that are guided by fundamental principles of tumor biology, and the potential of a bottom‐up approach in tumor engineering is highlighted. Additionally, the characterization approaches and biomedical applications of tumor models are discussed, emphasizing the significant role of engineered tumor models in scientific research and clinical trials. Lastly, the challenges of heterogeneous tumor models in promoting oncology research and tumor therapy are described and key directions for future research are provided.

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“…Aside from allowing a timely determination of anticancer activity the possibility to perform drug testing at an early stage might reduce the risk of phenotypic changes at later passages and the need of complex culture media with growth factors enrichment. Acoustic droplet printing (ADP) is another approach attempted to decrease the time necessary for PDOs generation (134,175,176). This technique enables the development of PDOs in 2 weeks, with preservation of autologous immune cells and integration of a microfluidic system for drug delivery (134).…”

Section: Inclusion Of Patient-derived Models In Co-clinical Trialsmentioning

confidence: 99%

Patient-derived cancer models: Valuable platforms for anticancer drug testing

et al. 2022

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Molecularly targeted treatments and immunotherapy are cornerstones in oncology, with demonstrated efficacy across different tumor types. Nevertheless, the overwhelming majority metastatic disease is incurable due to the onset of drug resistance. Preclinical models including genetically engineered mouse models, patient-derived xenografts and two- and three-dimensional cell cultures have emerged as a useful resource to study mechanisms of cancer progression and predict efficacy of anticancer drugs. However, variables including tumor heterogeneity and the complexities of the microenvironment can impair the faithfulness of these platforms. Here, we will discuss advantages and limitations of these preclinical models, their applicability for drug testing and in co-clinical trials and potential strategies to increase their reliability in predicting responsiveness to anticancer medications.

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Modeling cancer metastasis using acoustically bio-printed patient-derived 3D tumor microtissues

Abstract: Cancer metastasis causes most cancer-related deaths, and modeling caner invasion holds potential in drug discovery and companion diagnostics. Despite 2D cocultures have been developed to study cancer invasion, it is...

Cited by 19 publications

References 51 publications

Acoustic Printing of Patient‐Derived Organoids That Preserve Tumor Microenvironment for Personalized Drug Screening

Acoustic Printing of Patient‐Derived Organoids That Preserve Tumor Microenvironment for Personalized Drug Screening

Engineering Heterogeneous Tumor Models for Biomedical Applications

Patient-derived cancer models: Valuable platforms for anticancer drug testing

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