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International Journal of Bioprinting                                        Printed organoids for medicine




            151. Li Y, Liu J, Xu S, Wang J. 3D bioprinting: an important tool   162. Chen H, Wu Z, Gong Z, et al. Acoustic bioprinting of
               for tumor microenvironment research.  Int J Nanomed.   patient-derived organoids for predicting cancer therapy
               2023;18:8039-8057.                                 responses. Adv Healthc Mater. 2022;11(13):2102784.
               doi: 10.2147/ijn.S435845                           doi:  10.1002/adhm.202102784
            152. Heinrich MA, Bansal R, Lammers T, Zhang YS, Michel   163. Choi Y-m, Lee H, Ann M, Song M, Rheey J, Jang J. 3D
               Schiffelers R, Prakash J. 3D-bioprinted mini-brain:   bioprinted vascularized lung cancer organoid models with
               a glioblastoma model to study cellular interactions   underlying disease capable of more precise drug evaluation.
               and therapeutics.  Adv Mater (Deerfield Beach, Fla).   Biofabrication. 2023;15(3):034104.
               2019;31(14):e1806590.                              doi: 10.1088/1758-5090/acd95f
               doi: 10.1002/adma.201806590                     164. Jungeun K, Hoe Suk K, Ga Yeon K, et al. Abstract P5-02-
            153. Zhou X, Zhu W, Nowicki M, et al. 3D bioprinting a cell-  02:  development of  automated 3d high-throughput  drug
               laden bone matrix for breast cancer metastasis study. ACS   screening platform for patient-derived breast cancer
               Appl Mater Interfaces. 2016;8(44):30017-30026.     organoids. Cancer Res. 2022;82:2.
               doi: 10.1021/acsami.6b10673                        doi: 10.1158/1538-7445.sabcs21-p5-02-02
            154. Hughes AM, Kolb AD, Shupp AB, Shine KM, Bussard   165. Hou S, Tiriac H, Sridharan BP, et al. Advanced development
               KM. Printing the pathway forward in bone metastatic   of primary pancreatic organoid tumor models for high-
               cancer research: applications of 3D engineered models and   throughput phenotypic drug screening.  SLAS Discov.
               bioprinted scaffolds to recapitulate the bone-tumor niche.   2018;23(6):574-584.
               Cancers (Basel). 2021;13(3):507.                   doi: 10.1177/2472555218766842
               doi: 10.3390/cancers13030507                    166. Arutyunyan I, Jumaniyazova E, Makarov A, Fatkhudinov T.
            155. Mazzocchi A, Soker S, Skardal A. 3D bioprinting for high-  In vitro models of head and neck cancer: from primitive to
               throughput screening: drug screening, disease modeling,   most advanced. J Pers Med. 2023;13(11):1575.
               and  precision  medicine  applications.  Appl Phys Rev.      doi: 10.3390/jpm13111575
               2019;6(1):011302.                               167. Azhakesan A, Kern J, Mishra A, et al. 3D bioprinted head
               doi: 10.1063/1.5056188                             and neck squamous cell carcinoma (HNSCC) model using
            156. Kim  J,  Jang  J,  Cho  D-W. Recapitulating  the  cancer   tunicate derived nanocellulose (NC) bioink.  Adv Healthc
               microenvironment using bioprinting technology for   Mater. 2025;14(7):e2403114.
               precision medicine. Micromachines. 2021;12(9):1122.     doi: 10.1002/adhm.202403114
               doi:  10.3390/mi12091122                        168. Baka Z, Godier C, Lamy L, et al. A coculture based,
            157. Langer EM, Allen-Petersen BL, King SM, et al. Modeling   3D bioprinted ovarian tumor model combining cancer
               tumor phenotypes in  vitro with three-dimensional   cells  and  cancer  associated  fibroblasts.  Macromol Biosci.
               bioprinting. Cell Rep. 2019;26(3):608-623.e6.      2023;23(3):e2200434.
               doi: 10.1016/j.celrep.2018.12.090                  doi: 10.1002/mabi.202200434
            158. Calandrini C, Drost J. Normal and tumor-derived organoids   169. Tebon PJ, Wang B, Markowitz AL, et al. Drug screening
               as  a  drug  screening  platform  for  tumor-specific  drug   at single-organoid resolution via bioprinting and
               vulnerabilities. STAR Protoc. 2022;3(1):101079.    interferometry. Nat Commun. 2023;14(1):3168.
               doi:  10.1016/j.xpro.2021.101079                   doi: 10.1038/s41467-023-38832-8
            159. Wu P, Asada H, Hakamada M, Mabuchi M. Bioengineering   170. Nhan P, Jenny JH, Bobby T, et al. A simple high-throughput
               of high cell density tissues with hierarchical vascular   approach identifies actionable drug sensitivities in patient-
               networks  for  ex  vivo  whole  organs.  Adv Mater (Deerfield   derived tumor organoids. Commun Biol. 2019;2(1):1.
               Beach, Fla). 2023;35(9):e2209149.                  doi: 10.1038/s42003-019-0305-x
               doi: 10.1002/adma.202209149                     171. Krendl FJ, Primavesi F, Oberhuber R, et al. The importance of
            160. Bjerring JS, Khodour Y, Peterson EA, Sachs PC, Bruno   preclinical models for cholangiocarcinoma drug discovery.
               RD. Intercellular mitochondrial transfer contributes to   Expert Opin Drug Discov. 2025;20(2):205-216.
               microenvironmental redirection of cancer cell fate. FEBS J.      doi: 10.1080/17460441.2025.2457637
               2025;292(9):2306-2322.                          172. Joshi P, Nascimento HSD, Kang SY, et al. Dynamic culture
               doi: 10.1111/febs.70002                            of bioprinted liver tumor spheroids in a pillar/perfusion
                                                                  plate for predictive screening of anticancer drugs. Biotechnol
            161. Khan AO, Rodriguez-Romera A, Reyat JS, et al. Human
               bone marrow organoids for disease modeling, discovery,   Bioeng. 2025;122(4):995-1009.
               and  validation  of  therapeutic  targets  in  hematologic      doi: 10.1002/bit.28924
               malignancies. Article. Cancer Discov. 2023;13(2):364-385.  173. Kalla  J,  Pfneissl  J,  Mair  T,  Tran  L,  Egger  G.  A  systematic
               doi: 10.1158/2159-8290.Cd-22-0199                  review on the culture methods and applications of 3D



            Volume 11 Issue 4 (2025)                        95                            doi: 10.36922/IJB025190184
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