Cancer 3D Models: Essential Tools for Understanding and Overcoming Drug Resistance Article Swipe
Sofija Jovanović Stojanov
,
Marija Grozdanić
,
Mila Ljujić
,
Sandra Dragičević
,
Miodrag Dragoj
,
Jelena Dinić
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.32604/or.2025.067126
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.32604/or.2025.067126
Anticancer drug resistance remains a major challenge in cancer treatment hindering the efficacy of chemotherapy and targeted therapies. Conventional two-dimensional (2D) cell cultures cannot replicate the complexity of the in vivo tumor microenvironment (TME), limiting their utility for drug resistance research. Therefore, three-dimensional (3D) tumor models have proven to be a promising alternative for investigating chemoresistance mechanisms. In this review, various cancer 3D models, including spheroids, organoids, scaffold-based models, and bioprinted models, are comprehensively evaluated with a focus on their application in drug resistance studies. We discuss the materials, properties, and advantages of each model, highlighting their ability to better mimic the TME and represent complex mechanisms of drug resistance such as epithelial-mesenchymal transition (EMT), drug efflux, and tumor-stroma interactions. Furthermore, we investigate the limitations of these models, including scalability, reproducibility and technical challenges, as well as their potential therapeutic impact on personalized medicine. Through a thorough comparison of model performance, we provide insights into the strengths and weaknesses of each approach and offer guidance for model selection based on specific research needs.
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Cancer 3D Models: Essential Tools for Understanding and Overcoming Drug ResistanceWork title
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2025Year of publication
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2025-01-01Full publication date if available
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Sofija Jovanović Stojanov, Marija Grozdanić, Mila Ljujić, Sandra Dragičević, Miodrag Dragoj, Jelena DinićList of authors in order
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https://doi.org/10.32604/or.2025.067126Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.techscience.com/or/online/detail/24224Direct OA link when available
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0Total citation count in OpenAlex
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1Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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