评估和优化用于药物筛选的免疫功能性乳腺癌模型的高通量生物制造工艺。

IF 8.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Priyanshu Shukla, Ashis Kumar Bera, Amit Ghosh, Gaddam Kiranmai, Falguni Pati
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引用次数: 0

摘要

三维癌症建模技术的最新进展大大提高了我们深入研究错综复杂的致癌过程的能力。尽管制药业在药物筛选和开发管道上投入了大量资金和时间,但一个令人担忧的趋势依然存在:在传统癌症模型上筛选的候选药物在临床试验中的成功率很低。造成这种差异的一个关键因素是,在临床前阶段没有在病理生理学仿生三维癌症模型上进行药物测试。遗憾的是,目前的手动三维癌症建模方法(如球形和有机体)在可重复性和可扩展性方面存在局限性。在我们的研究中,我们利用无洗涤剂脱细胞法获得的基于脂肪组织的脱细胞水凝胶,精心开发了三维生物打印乳腺癌模型。我们的创新打印技术可在 96 孔板格式下快速、高通量地制作三维癌症模型,具有无与伦比的可扩展性和可重复性。此外,我们还进行了广泛的验证,通过涉及两种强效抗癌药物--5-氟尿嘧啶和 PRIMA-1Met 的药物筛选试验,展示了我们平台的功效。值得注意的是,我们的平台便于轻松进行成像和基因表达分析,从而简化了评估过程。为了增强癌症模型的相关性,我们在基于 DAT 的生物墨水中引入了异质细胞群。通过细致的优化和表征,我们成功开发出了一种生物仿真免疫能力乳腺癌模型,其中包含微环境线索和多样化的细胞群。这一突破为快速多重药物筛选和个性化癌症模型的开发铺平了道路,标志着癌症研究和药物开发的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment and process optimization of high throughput biofabrication of immunocompetent breast cancer model for drug screening applications.

Recent advancements in 3D cancer modeling have significantly enhanced our ability to delve into the intricacies of carcinogenesis. Despite the pharmaceutical industry's substantial investment of both capital and time in the drug screening and development pipeline, a concerning trend persists: drug candidates screened on conventional cancer models exhibit a dismal success rate in clinical trials. One pivotal factor contributing to this discrepancy is the absence of drug testing on pathophysiologically biomimetic 3D cancer models during pre-clinical stages. Unfortunately, current manual methods of 3D cancer modeling, such as spheroids and organoids, suffer from limitations in reproducibility and scalability. In our study, we have meticulously developed 3D bioprinted breast cancer model utilizing decellularized adipose tissue-based hydrogel obtained via a detergent-free decellularization method. Our innovative printing techniques allows for rapid, high-throughput fabrication of 3D cancer models in a 96-well plate format, demonstrating unmatched scalability and reproducibility. Moreover, we have conducted extensive validation, showcasing the efficacy of our platform through drug screening assays involving two potent anti-cancer drugs, 5-Fluorouracil and PRIMA-1Met. Notably, our platform facilitates effortless imaging and gene expression analysis, streamlining the evaluation process. In a bid to enhance the relevance of our cancer model, we have introduced a heterogeneous cell population into the DAT-based bioink. Through meticulous optimization and characterization, we have successfully developed a biomimetic immunocompetent breast cancer model, complete with microenvironmental cues and diverse cell populations. This breakthrough paves the way for rapid multiplex drug screening and the development of personalized cancer models, marking a paradigm shift in cancer research and pharmaceutical development.

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来源期刊
Biofabrication
Biofabrication ENGINEERING, BIOMEDICAL-MATERIALS SCIENCE, BIOMATERIALS
CiteScore
17.40
自引率
3.30%
发文量
118
审稿时长
2 months
期刊介绍: Biofabrication is dedicated to advancing cutting-edge research on the utilization of cells, proteins, biological materials, and biomaterials as fundamental components for the construction of biological systems and/or therapeutic products. Additionally, it proudly serves as the official journal of the International Society for Biofabrication (ISBF).
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