參考文獻 |
1. Bosetti, C., et al., Pancreatic cancer: Overview of descriptive epidemiology. Molecular Carcinogenesis, 2012. 51(1). 3-13.
2. Leowattana, W., P. Leowattana, and T. Leowattana, Systemic treatment for advanced pancreatic cancer. World J Gastrointest Oncol, 2023. 15(10). 1691-1705.
3. Cassalia, F., et al., The Importance of Reading the Skin: Cutaneous Metastases of Pancreatic Cancer, a Systematic Review. Journal of Clinical Medicine, 2024. 13(1). 104.
4. Park, B.K., et al., Suspicious findings observed retrospectively on CT imaging performed before the diagnosis of pancreatic cancer. J Gastrointest Oncol, 2023. 14(2). 1008-1018.
5. Fitzgerald, K.A., et al., Life in 3D is never flat: 3D models to optimise drug delivery. Journal of Controlled Release, 2015. 215. 39-54.
6. Pahouja, G., et al., Stabilization of bone marrow infiltration by metastatic breast cancer with continuous doxorubicin. Cancer Treatment Communications, 2015. 3. 28-32.
7. Dittus, C., et al., Bone marrow infiltration as the initial presentation of gastric signet ring cell adenocarcinoma. Journal of Gastrointestinal Oncology, 2014. 5(6). E113-E116.
8. Yang, H., et al., Clinical features and treatment of bone marrow metastasis. Oncol Lett, 2023. 26(2). 332.
9. Rong, T., et al., A Rare Manifestation of a Presumed Non-Osteophilic Brain Neoplasm: Extensive Axial Skeletal Metastases From Glioblastoma With Primitive Neuronal Components. Frontiers in Oncology, 2021. 11. 760697.
10. Massagué, J. and A.C. Obenauf, Metastatic colonization by circulating tumour cells. Nature, 2016. 529(7586). 298-306.
11. Saxena, M. and G. Christofori, Rebuilding cancer metastasis in the mouse. Molecular Oncology, 2013. 7(2). 283-296.
12. Carpenter, G. and S. Cohen, Epidermal Growth Factor. Annual Review of Biochemistry, 1979. 48(Volume 48, 1979). 193-216.
13. Bowman, B., FADD and its Phosphorylation Mediate Mitogenic Signaling in Mutant Kras Tumors. 2015. 395–401.
14. Zhu, G., et al., Bone physiological microenvironment and healing mechanism: Basis for future bone-tissue engineering scaffolds. Bioactive Materials, 2021. 6(11). 4110-4140.
15. Huang, C.-J., et al. A Tumor Accelerator Based on Multicomponent Bone Scaffolds and Cancer Cell Homing. Polymers, 2022. 14. 14163340.
16. Liu, T., et al., Alendronate-Modified Polymeric Micelles for the Treatment of Breast Cancer Bone Metastasis. Molecular Pharmaceutics, 2019. 16(7). 2872-2883.
17. Mak, I.W., N. Evaniew, and M. Ghert, Lost in translation: animal models and clinical trials in cancer treatment. Am J Transl Res, 2014. 6(2). 114-8.
18. Brancato, V., et al., Could 3D models of cancer enhance drug screening? Biomaterials, 2020. 232. 119744.
19. DesRochers, T.M., E. Palma, and D.L. Kaplan, Tissue-engineered kidney disease models. Advanced Drug Delivery Reviews, 2014. 69-70. 67-80.
20. Hinderer, S., S.L. Layland, and K. Schenke-Layland, ECM and ECM-like materials — Biomaterials for applications in regenerative medicine and cancer therapy. Advanced Drug Delivery Reviews, 2016. 97. 260-269.
21. Frantz, C., K.M. Stewart, and V.M. Weaver, The extracellular matrix at a glance. Journal of Cell Science, 2010. 123(24). 4195-4200.
22. De Jaeghere, E., et al., Heterocellular 3D scaffolds as biomimetic to recapitulate the tumor microenvironment of peritoneal metastases in vitro and in vivo. Biomaterials, 2018. 158. 95-105.
23. Florczyk, S.J., et al., 3D Porous Chitosan–Alginate Scaffolds: A New Matrix for Studying Prostate Cancer Cell–Lymphocyte Interactions In Vitro. Advanced Healthcare Materials, 2012. 1(5). 590-599.
24. Weaver, V.M., et al., Reversion of the malignant phenotype of human breast cells in three-dimensional culture and in vivo by integrin blocking antibodies. J Cell Biol, 1997. 137(1). 231-45.
25. Erler, J.T., et al., Lysyl oxidase is essential for hypoxia-induced metastasis. Nature, 2006. 440(7088). 1222-1226.
26. Maitra Roy, S., et al., 3D multicellular tumor spheroids used for in vitro preclinical therapeutic screening. Journal of Drug Delivery Science and Technology, 2023. 86. 104636.
27. Kingsley, D.M., et al., Laser-based 3D bioprinting for spatial and size control of tumor spheroids and embryoid bodies. Acta Biomaterialia, 2019. 95. 357-370.
28. Saxena, A., Tissue engineering: Present concepts and strategies. Journal of Indian Association of Pediatric Surgeons, 2005. 10. 14-19.
29. Wang, H., et al., Fabrication and properties of hydroxyapatite/chitosan composite scaffolds loaded with periostin for bone regeneration. Heliyon, 2024. 10(5). e25832.
30. Białkowska, K., et al. Spheroids as a Type of Three-Dimensional Cell Cultures—Examples of Methods of Preparation and the Most Important Application. International Journal of Molecular Sciences, 2020. 21. 21176225.
31. Mehta, G., et al., Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy. Journal of Controlled Release, 2012. 164(2). 192-204.
32. Lamb, R., et al., Co-ordination of cell cycle, migration and stem cell-like activity in breast cancer. Oncotarget, 2014. 5(17). 7833–7842
33. Xu, X., M.C. Farach-Carson, and X. Jia, Three-dimensional in vitro tumor models for cancer research and drug evaluation. Biotechnology Advances, 2014. 32(7) 1256-1268.
34. Antunes, J., et al., In-air production of 3D co-culture tumor spheroid hydrogels for expedited drug screening. Acta Biomaterialia, 2019. 94. 392-409.
35. Afewerki, S., et al., Gelatin-polysaccharide composite scaffolds for 3D cell culture and tissue engineering: Towards natural therapeutics. Bioengineering & Translational Medicine, 2019. 4(1). 96-115.
36. Alipal, J., et al., A review of gelatin: Properties, sources, process, applications, and commercialisation. Materials Today: Proceedings, 2021. 42. 240-250.
37. Michelini, L., et al., Characterization of gelatin hydrogels derived from different animal sources. Materials Letters, 2020. 272. 127865.
38. Zhao, X., et al., Photocrosslinkable gelatin hydrogel for epidermal tissue engineering. Advanced healthcare materials, 2016. 5(1). 108-118.
39. Rijal, G. and W. Li, A versatile 3D tissue matrix scaffold system for tumor modeling and drug screening. Science advances, 2017. 3(9). e1700764.
40. Zhanbassynova, A., et al. Impact of Hydroxyapatite on Gelatin/Oxidized Alginate 3D-Printed Cryogel Scaffolds. Gels, 2024. 10. 406.
41. Cheng, C.-H., et al., Immobilization of bone morphogenetic protein-2 to gelatin/avidin-modified hydroxyapatite composite scaffolds for bone regeneration. Journal of Biomaterials Applications, 2019. 33(9). 1147-1156.
42. Sanz-Herrera, J.A., J.M. García-Aznar, and M. Doblaré, On scaffold designing for bone regeneration: A computational multiscale approach. Acta Biomaterialia, 2009. 5(1). 219-229.
43. Shi, F., et al., Improved cell seeding efficiency and cell distribution in porous hydroxyapatite scaffolds by semi-dynamic method. Cell and Tissue Banking, 2022. 23(2). 313-324.
44. Sobral, J.M., et al., Three-dimensional plotted scaffolds with controlled pore size gradients: Effect of scaffold geometry on mechanical performance and cell seeding efficiency. Acta Biomaterialia, 2011. 7(3). 1009-1018.
45. Zhang, Z.-Z., et al., Potential of Centrifugal Seeding Method in Improving Cells Distribution and Proliferation on Demineralized Cancellous Bone Scaffolds for Tissue-Engineered Meniscus. 2022. 15294-15302.
46. Cámara-Torres, M., et al., Improving cell distribution on 3D additive manufactured scaffolds through engineered seeding media density and viscosity. Acta Biomaterialia, 2020. 101. 183-195.
47. Alvarez-Barreto, J.F., et al., Flow Perfusion Improves Seeding of Tissue Engineering Scaffolds with Different Architectures. Annals of Biomedical Engineering, 2007. 35(3). 429-442.
48. Zhang, Z.-Z., et al., Potential of Centrifugal Seeding Method in Improving Cells Distribution and Proliferation on Demineralized Cancellous Bone Scaffolds for Tissue-Engineered Meniscus. ACS Applied Materials & Interfaces, 2015. 7(28). 15294-15302.
49. Olivares, A.L. and D. Lacroix, Simulation of Cell Seeding Within a Three-Dimensional Porous Scaffold: A Fluid-Particle Analysis. Tissue Engineering Part C: Methods, 2012. 18(8). 624-631.
50. Cheng, G., et al., Cell Population Dynamics Modulate the Rates of Tissue Growth Processes. Biophysical Journal, 2006. 90(3). 713-724.
51. Bueno, E.M., G. Laevsky, and G.A. Barabino, Enhancing cell seeding of scaffolds in tissue engineering through manipulation of hydrodynamic parameters. Journal of Biotechnology, 2007. 129(3). 516-531.
52. Karami, D., N. Richbourg, and V. Sikavitsas, Dynamic in vitro models for tumor tissue engineering. Cancer Letters, 2019. 449. 178-185.
53. Cheng, G., P. Markenscoff, and K. Zygourakis, A 3D Hybrid Model for Tissue Growth: The Interplay between Cell Population and Mass Transport Dynamics. Biophysical Journal, 2009. 97(2). 401-414.
54. McCorry, M.C., et al., Sensor technologies for quality control in engineered tissue manufacturing. Biofabrication, 2023. 15(1). 012001.
55. Appel, A.A., et al., Imaging challenges in biomaterials and tissue engineering. Biomaterials, 2013. 34(28). 6615-6630.
56. Gordillo, N., E. Montseny, and P. Sobrevilla, State of the art survey on MRI brain tumor segmentation. Magnetic Resonance Imaging, 2013. 31(8). 1426-1438.
57. Washburn, N.R., et al., Bone formation in polymeric scaffolds evaluated by proton magnetic resonance microscopy and X-ray microtomography. Journal of Biomedical Materials Research Part A, 2004. 69A(4). 738-747.
58. Leferink, A.M., et al., An Open Source Image Processing Method to Quantitatively Assess Tissue Growth after Non-Invasive Magnetic Resonance Imaging in Human Bone Marrow Stromal Cell Seeded 3D Polymeric Scaffolds. PLOS ONE, 2014. 9(12). e115000.
59. Takagi, K., et al., Analysis of microvessels in pancreatic cancer: by light microscopy, confocal laser scan microscopy, and electron microscopy. Journal of Hepato-Biliary-Pancreatic Surgery, 2008. 15(4). 384-390.
60. Caicedo, J.C., et al., Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images. Cytometry Part A, 2019. 95(9). 952-965.
61. Oprea-Lager, D.E., et al., Bone Metastases Are Measurable: The Role of Whole-Body MRI and Positron Emission Tomography. Frontiers in Oncology, 2021. 11. 772530
62. Van der Wall, E., et al., Diagnostic significance of gadolinium-DTPA (diethylenetriamine penta-acetic acid) enhanced magnetic resonance imaging in thrombolytic treatment for acute myocardial infarction: its potential in assessing reperfusion. Heart, 1990. 63(1). 12-17.
63. Onoue, K., et al., Temporal subtraction of computed tomography images improves detectability of bone metastases by radiology residents. European radiology, 2019. 1-4.
64. Morsing, A., et al., Hybrid PET/MRI in major cancers: a scoping review. European journal of nuclear medicine and molecular imaging, 2019. 1-14.
65. Matani, H., et al., Utilization of functional MRI in the diagnosis and management of cervical cancer. Frontiers in Oncology, 2022. 12. 1030967.
66. Nagesh, C.P., et al., Magnetic resonance imaging of the orbit, Part 1: Basic principles and radiological approach. Indian Journal of Ophthalmology, 2021. 69(10). 2574– 2584
67. Belaroussi, B., et al., Intensity non-uniformity correction in MRI: Existing methods and their validation. Medical Image Analysis, 2006. 10(2). 234-246.
68. Cha, D.I., et al., Pancreatic ductal adenocarcinoma: Prevalence and diagnostic value of dark choledochal ring sign on T2-weighted MRI. Clinical Radiology, 2014. 69(4). 416-423.
69. Lieber, M., et al., Establishment of a continuous tumor-cell line (PANC-1) from a human carcinoma of the exocrine pancreas. International Journal of Cancer, 1975. 15(5). 741-747.
70. Young, S., et al., Gelatin as a delivery vehicle for the controlled release of bioactive molecules. Journal of Controlled Release, 2005. 109(1). 256-274.
71. Gupta, S.K., et al., Modification of decellularized goat-lung scaffold with chitosan/nanohydroxyapatite composite for bone tissue engineering applications. BioMed research international, 2013. 2013. 651945.
72. Youn, B.S., et al., Large-Scale Expansion of Mammary Epithelial Stem Cell Aggregates in Suspension Bioreactors. Biotechnology Progress, 2005. 21(3). 984-993.
73. Chen, K.-Y., et al., Autologous bone marrow stromal cells loaded onto porous gelatin scaffolds containing Drynaria fortunei extract for bone repair. Journal of Biomedical Materials Research Part A, 2013. 101A(4). 954-962.
74. Kubíková, T., et al., Comparison of ground sections, paraffin sections and micro-CT imaging of bone from the epiphysis of the porcine femur for morphometric evaluation. Annals of Anatomy - Anatomischer Anzeiger, 2018. 220. 85-96.
75. Chang, C.C., et al., Direct-write bioprinting three-dimensional biohybrid systems for future regenerative therapies. Journal of Biomedical Materials Research Part B: Applied Biomaterials, 2011. 98B(1). 160-170.
76. Reznikov, N., et al., The 3D structure of the collagen fibril network in human trabecular bone: Relation to trabecular organization. Bone, 2015. 71. 189-195.
77. Abarrategi, A., et al., Label-free magnetic resonance imaging to locate live cells in three-dimensional porous scaffolds. Journal of The Royal Society Interface, 2012. 9(74). 2321-2331.
78. Sinibaldi, R., et al., Multimodal-3D imaging based on μMRI and μCT techniques bridges the gap with histology in visualization of the bone regeneration process. Journal of Tissue Engineering and Regenerative Medicine, 2018. 12(3). 750-761.
79. Crowe, J.J., et al., A magnetic resonance-compatible perfusion bioreactor system for three-dimensional human mesenchymal stem cell construct development. Chemical Engineering Science, 2011. 66(18). 4138-4147. |