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Precision biomaterials in cancer theranostics and modelling
David Caballero1, Catarina M Abreu1, Ana C Lima1
13B's Research Group, I3Bs - Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017, Guimarães, Portugal; ICVS/3B's - PT Government Associate Laboratory, Braga, Guimarães, Portugal.
Abstract:
Despite significant achievements in the understanding and treatment of cancer, it remains a major burden. Traditional therapeutic approaches based on the 'one-size-fits-all' paradigm are becoming obsolete, as demonstrated by the increasing number of patients failing to respond to treatments. In contrast, more precise approaches based on individualized genetic profiling of tumors have already demonstrated their potential. However, even more personalized treatments display shortcomings mainly associated with systemic delivery, such as low local drug efficacy or specificity. A large amount of effort is currently being invested in developing precision medicine-based strategies for improving the efficiency of cancer theranostics and modelling, which are envisioned to be more accurate, standardized, localized, and less expensive. To this end, interdisciplinary research fields, such as biomedicine, material sciences, pharmacology, chemistry, tissue engineering, and nanotechnology, must converge for boosting the precision cancer ecosystem. In this regard, precision biomaterials have emerged as a promising strategy to detect, model, and treat cancer more efficiently. These are defined as those biomaterials precisely engineered with specific theranostic functions and bioactive components, with the possibility to be tailored to the cancer patient needs, thus having a vast potential in the increasing demand for more efficient treatments. In this review, we discuss the latest advances in the field of precision biomaterials in cancer research, which are expected to revolutionize disease management, focusing on their uses for cancer modelling, detection, and therapeutic applications. We finally comment on the needed requirements to accelerate their application in the clinic to improve cancer patient prognosis.
Insights
Precision biomaterials offer a revolutionary approach to cancer management, improving detection, modeling, and treatment efficacy. These advanced materials are engineered for personalized cancer care, overcoming limitations of traditional therapies.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Material Science
Background:
- Traditional cancer treatments face limitations due to a 'one-size-fits-all' approach, leading to treatment failures.
- Personalized medicine shows promise but struggles with systemic delivery issues like low local efficacy.
- Precision medicine strategies are crucial for enhancing cancer theranostics and modeling.
Purpose of the Study:
- To review the latest advances in precision biomaterials for cancer research.
- To highlight the potential of precision biomaterials in revolutionizing cancer management.
- To discuss applications in cancer modeling, detection, and therapy.
Main Methods:
- Review of current literature on precision biomaterials in cancer research.
- Analysis of interdisciplinary research convergence (biomedicine, material sciences, etc.).
- Focus on engineered biomaterials with specific theranostic functions and bioactive components.
Main Results:
- Precision biomaterials offer tailored solutions for individual patient needs.
- These materials show significant potential for more accurate, localized, and efficient cancer detection and treatment.
- Advancements are paving the way for improved cancer modeling and theranostics.
Conclusions:
- Precision biomaterials represent a significant advancement in precision oncology.
- Further development and clinical translation are needed to accelerate their application.
- These materials are poised to improve cancer patient prognosis and revolutionize disease management.

