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Advances and Challenges in 3D Bioprinted Cancer Models: Opportunities for Personalized Medicine and Tissue
Abstract:
Cancer is the second leading cause of death worldwide, after cardiovascular disease, claiming not only a staggering number of lives but also causing considerable health and economic devastation, particularly in less-developed countries. Therapeutic interventions are impeded by differences in patient-to-patient responses to anti-cancer drugs. A personalized medicine approach is crucial for treating specific patient groups and includes using molecular and genetic screens to find appropriate stratifications of patients who will respond (and those who will not) to treatment regimens. However, information on which risk stratification method can be used to hone in on cancer types and patients who will be likely responders to a specific anti-cancer agent remains elusive for most cancers. Novel developments in 3D bioprinting technology have been widely applied to recreate relevant bioengineered tumor organotypic structures capable of mimicking the human tissue and microenvironment or adequate drug responses in high-throughput screening settings. Parts are autogenously printed in the form of 3D bioengineered tissues using a computer-aided design concept where multiple layers include different cell types and compatible biomaterials to build specific configurations. Patient-derived cancer and stromal cells, together with genetic material, extracellular matrix proteins, and growth factors, are used to create bioprinted cancer models that provide a possible platform for the screening of new personalized therapies in advance. Both natural and synthetic biopolymers have been used to encourage the growth of cells and biological materials in personalized tumor models/implants. These models may facilitate physiologically relevant cell-cell and cell-matrix interactions with 3D heterogeneity resembling real tumors.
Insights
3D bioprinting creates realistic cancer models for personalized medicine. These models help identify effective anti-cancer drugs for specific patient groups, improving treatment outcomes.
Area of Science:
- Oncology
- Biotechnology
- Regenerative Medicine
Background:
- Cancer is a leading global cause of death, with treatment efficacy varying significantly between patients.
- Personalized medicine, utilizing molecular and genetic profiling, is essential for tailoring cancer therapies.
- Identifying patient subgroups likely to respond to specific anti-cancer drugs remains a challenge.
Purpose of the Study:
- To explore the application of 3D bioprinting in creating patient-specific cancer models.
- To evaluate the potential of these 3D bioprinted models for personalized anti-cancer drug screening.
- To address the need for improved methods in stratifying cancer patients for targeted therapies.
Main Methods:
- Utilizing computer-aided design to construct multi-layered 3D bioengineered tissues.
- Incorporating patient-derived cancer and stromal cells, genetic material, extracellular matrix proteins, and growth factors.
- Employing both natural and synthetic biopolymers to support cell growth and mimic tumor microenvironments.
Main Results:
- 3D bioprinting enables the recreation of organotypic tumor structures that mimic human tissue and microenvironments.
- These bioprinted models facilitate physiologically relevant cell-cell and cell-matrix interactions.
- The models exhibit 3D heterogeneity, closely resembling actual human tumors.
Conclusions:
- 3D bioprinting offers a promising platform for developing personalized cancer therapies.
- Bioprinted cancer models can serve as effective tools for high-throughput screening of anti-cancer agents.
- This technology has the potential to advance personalized medicine by predicting individual patient responses to treatment.

