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International Journal of Bioprinting                                3D bioprinting technology for brain tumor




            with  clinical  responses  to  several  drugs,  the  surpassing   the brain is an inaccessible organ; therefore, clinical data
            antitumor effectiveness of GlioML-identified compounds   on GBM are lacking. Nevertheless, 3D bioprinting has
            in PDTs has clinical potential for GBM treatment.   contributed  to the  development of  personalized  tumor
                                                               models, precision medicine, and immunotherapy. In this
            7. Challenges and future perspectives              context, 3D-bioprinted cancer models can accelerate the

            3D-bioprinted models can reproduce the treatment   discovery of therapeutic targets, relieve dependence on
            responses of patients, providing environmental information   animal tests, and reduce the cost of cancer treatment
            that compels pathological cancer progression.  In   research. Further studies should focus on the proper
                                                     154
            particular, 3D bioprinting of human-based models can   utilization of feasible models and optimization of
            capture the  in  vivo TME better than 2D models and   preclinical research platforms.
            simplifies the separation of components compared to
            animal models.  Nevertheless, it remains challenging to   Acknowledgments
                        155
            practically mimic the membrane barrier, which limits the   The authors created the schematics of all Figures using
            reconstruction of the BBB.  Consequently, advanced 3D   images provided by BioRender (https://biorender.com/).
                                 156
            bioprinting technology using revolutionary biomaterials
            and bioprinting methods is required to overcome the   Funding
            unsatisfactory recapitulation of the BBB. Furthermore, the
            development of in vitro modeling is ongoing and extends   The authors wish to acknowledge Brain Korea 21 (BK21;
            beyond 3D conditions. Some of this modeling involves   grant number M2022B002600003) and the Ministry of Food
            4D printing, which utilizes smart materials, such as shape   and Drug Safety in Korea (grant number 22213MFDS421).
            memory polymers, alloys, and smart nanocomposites, along
            with additional functional processes.  Machine learning   Conflict of interest
                                          157
            applications are also utilized in 3D technology, allowing   The authors declare they have no competing interests.
            the rapid production and prediction of the resemblance
            between the 3D model and the original patient.  Machine   Author contributions
                                                 121
            learning and 4D printing provide high-throughput   Conceptualization: Ayoung Kim, Kyumin Mo, Hyunho Yoon
            processing systems for drug screening of GBM models.   Investigation: Ayoung Kim, Kyumin Mo, Soohyun Choe,
            Although the present 3D models exhibit limitations in   Hyunho Yoon
            completely replacing the in vivo requirements and imitating   Visualization: Ayoung Kim, Kyumin Mo, Soohyun Choe,
            GBM itself, further investigation is in progress to strengthen   Hyunho Yoon
            the bioprinting system. 158–165  Thus, it is anticipated that
            advanced GBM models will unveil unknown mechanisms   Writing – original draft:  Ayoung Kim, Kyumin Mo,
            of disease and benefit anticancer strategies in the future.  Soohyun Choe, Hyunho Yoon
                                                               Writing – review & editing: Miyoung Shin, Soohyun Choe,
            8. Conclusion                                         Hyunho Yoon
            3D bioprinting technology has the potential to construct   Ethics approval and consent to participate
            various functional models for cancer research. It provides
            a more realistic and dynamic approach for simulating   Not applicable.
            GBM characteristics, including the TME, BBB, and
            angiogenesis. Several 3D bioprinting applications have   Consent for publication
            been demonstrated to play a critical role in cell-to-  Not applicable.
            cell  interactions,  drug  screening,  the  establishment
            of a tumor-on-a-chip, and basic knowledge of GBM.   Availability of data
            However, the current 3D bioprinting technology remains
            challenging. It is difficult to obtain precise and complex   None.
            tissues using bioprinting. Although some progress has   References
            been made in arranging cellular and ECM components,
            there are  several  obstacles to  accurately mimicking   1.   Tang M, Jiang S, Huang X, et al. Integration of 3D bioprinting
            a complicated and reliable TME. The convergence of    and multi-algorithm machine learning identified glioma
            organ-on-a-chip with bioprinting is still at an early stage,   susceptibilities and microenvironment characteristics. Cell
            and few studies have described the enhancement of such   Discov. 2024;10(1):39.
            biological models in brain cancer research. Additionally,   doi: 10.1038/s41421-024-00650-7


            Volume 10 Issue 6 (2024)                       166                                doi: 10.36922/ijb.4166
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