Wang Peipei, Sun Lejia, Li Changcan, Jin Bao, Yang Huayu, Wu Bin, Mao Yilei
Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
Int J Bioprint. 2023 Feb 24;9(3):694. doi: 10.18063/ijb.694. eCollection 2023.
The existing models for antitumor drug screening have significant limitations. Many compounds that inhibit two-dimensional (2D) cultured cells do not exhibit the same pharmacological effects , thereby wasting human and material resources and time during drug development. Therefore, it is crucial to develop new models. Three-dimensional (3D) bioprinting technology has greater advantages in constructing human tissues than sandwich culture and organoid construction. We used 3D bioprinting technology to construct a 3D multicellular model of SW480 cells, tumor-associated macrophages, and endothelial cells. The biological activities of the model were evaluated by immunofluorescence, hematoxylin and eosin staining of frozen pathological sections, and transcriptome sequencing. Compared with 3D bioprinted single-cell model (3D printing-S), 3D bioprinted multicellular models (3D printing-M) showed significantly improved expression of tumor-related genes, including hub genes , , , , , , , and . Antitumor drug screening experiment showed that the IC values of 5-FU, oxaliplatin, and irinotecan in 3D printing-S group/2D culture group were 31.13 μM/12.79 μM, 26.79 μM/0.80 μM, and 16.73 μM/10.45 μM, respectively. Compared with the 3D printing-S group, 3D printing-M group was significantly more resistant to chemotherapy.
现有的抗肿瘤药物筛选模型存在显著局限性。许多能抑制二维(2D)培养细胞的化合物并未表现出相同的药理作用,从而在药物研发过程中浪费了人力、物力和时间。因此,开发新模型至关重要。三维(3D)生物打印技术在构建人体组织方面比三明治培养和类器官构建具有更大优势。我们使用3D生物打印技术构建了SW480细胞、肿瘤相关巨噬细胞和内皮细胞的三维多细胞模型。通过免疫荧光、冰冻病理切片的苏木精-伊红染色以及转录组测序对该模型的生物学活性进行了评估。与3D生物打印单细胞模型(3D打印-S)相比,3D生物打印多细胞模型(3D打印-M)显示出肿瘤相关基因(包括枢纽基因 、 、 、 、 、 、 和 )的表达显著改善。抗肿瘤药物筛选实验表明,5-氟尿嘧啶、奥沙利铂和伊立替康在3D打印-S组/2D培养组中的IC值分别为31.13 μM/12.79 μM、26.79 μM/0.80 μM和16.73 μM/10.45 μM。与3D打印-S组相比,3D打印-M组对化疗的耐药性明显更强。