Gat Rauner, Piyush B. Gupta, Charlotte Kuperwasser
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引用次数: 0
Abstract
In vitro tumor models are essential tools for cancer research, offering key insights into not only tumor biology but also therapeutic responses. The transition from traditional two-dimensional to three-dimensional organoid systems marks a paradigm shift in cancer modeling. Although two-dimensional models have been instrumental in elucidating fundamental molecular and genetic mechanisms, they fail to accurately replicate the intricate three-dimensional architecture and dynamic microenvironment characteristic of human tumors. Here we outline how advanced organoid technologies now enable more faithful recapitulation of tumor heterogeneity that better mimic native tissue mechanics and biochemistry. We discuss emerging methods, including air–liquid interface cultures, microfluidic tumor-on-a-chip devices and high-content imaging integrated with machine learning, which collectively address longstanding challenges such as matrix variability and the limited incorporation of immune and vascular elements. These innovations promise to enhance reproducibility and scalability while providing unprecedented insights into tumor biology, cancer progression and therapeutic strategies. This Perspective discusses recent progresses in development of in vitro tumor models and the current challenges in this field.
期刊介绍:
Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.