生物加工
乳腺癌
癌症
药物开发
人口
计算机科学
多路复用
药品
医学
生物医学工程
生物信息学
内科学
药理学
组织工程
生物
环境卫生
作者
Priyanshu Shukla,Ashis Kumar Bera,Amit Ghosh,Gaddam Kiranmai,Falguni Pati
出处
期刊:Biofabrication
[IOP Publishing]
日期:2024-06-14
卷期号:16 (3): 035030-035030
被引量:1
标识
DOI:10.1088/1758-5090/ad586b
摘要
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-1
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