journal article·2021-02Open access

Biomaterials and 3D Bioprinting Strategies to Model Glioblastoma and the Blood–Brain Barrier

Min Tang, Jeremy N. Rich, Shaochen Chen

Advanced Materials· Volume 33· Issue 5

Abstract

Abstract Glioblastoma (GBM) is the most prevalent and lethal adult primary central nervous system cancer. An immunosuppresive and highly heterogeneous tumor microenvironment, restricted delivery of chemotherapy or immunotherapy through the blood–brain barrier (BBB), together with the brain's unique biochemical and anatomical features result in its universal recurrence and poor prognosis. As conventional models fail to predict therapeutic efficacy in GBM, in vitro 3D models of GBM and BBB leveraging patient‐ or healthy‐individual‐derived cells and biomaterials through 3D bioprinting technologies potentially mimic essential physiological and pathological features of GBM and BBB. 3D‐bioprinted constructs enable investigation of cellular and cell–extracellular matrix interactions in a species‐matched, high‐throughput, and reproducible manner, serving as screening or drug delivery platforms. Here, an overview of current 3D‐bioprinted GBM and BBB models is provided, elaborating on the microenvironmental compositions of GBM and BBB, relevant biomaterials to mimic the native tissues, and bioprinting strategies to implement the model fabrication. Collectively, 3D‐bioprinted GBM and BBB models are promising systems and biomimetic alternatives to traditional models for more reliable mechanistic studies and preclinical drug screenings that may eventually accelerate the drug development process for GBM.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 3D Printing in Biomedical Research · Cancer Cells and Metastasis · Innovative Microfluidic and Catalytic Techniques Innovation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of NanoEngineering University of California, San Diego La Jolla CA 92093 USA

Division of Regenerative Medicine Department of Medicine Department of Neurosciences University of California, San Diego La Jolla CA 92093 USA

Sanford Consortium for Regenerative Medicine La Jolla CA 92093 USA

Department of Bioengineering Materials Science and Engineering Program Chemical Engineering Program University of California, San Diego La Jolla CA 92093 USA

Funding

National Institutes of Health · National Institute of Neurological Disorders and Stroke · National Institute of Biomedical Imaging and Bioengineering

References (100+)

Show source-provided references
1. 10.1093/neuonc/noz15010.1093/neuonc/noz150 ↗
2. 10.1007/s11060-011-0738-710.1007/s11060-011-0738-7 ↗
3. 10.1093/neuonc/nox17510.1093/neuonc/nox175 ↗
4. 10.1155/2015/32094110.1155/2015/320941 ↗
5. 10.1016/j.apsb.2017.07.00210.1016/j.apsb.2017.07.002 ↗
6. 10.1016/j.drup.2015.02.00210.1016/j.drup.2015.02.002 ↗
7. 10.3389/fonc.2018.0046210.3389/fonc.2018.00462 ↗
8. 10.1158/2159-8290.CD-14-000110.1158/2159-8290.CD-14-0001 ↗
9. 10.1038/s41422-020-0338-110.1038/s41422-020-0338-1 ↗
10. 10.1007/s11060-017-2700-910.1007/s11060-017-2700-9 ↗
11. 10.3389/fncel.2019.0023010.3389/fncel.2019.00230 ↗
12. 10.1038/s41598-019-50160-w10.1038/s41598-019-50160-w ↗
13. 10.3390/ijms2104149010.3390/ijms21041490 ↗
14. 10.1016/j.yexcr.2017.11.01310.1016/j.yexcr.2017.11.013 ↗
15. 10.4103/1673-5374.15834210.4103/1673-5374.158342 ↗
16. 10.1016/j.biomaterials.2019.02.02410.1016/j.biomaterials.2019.02.024 ↗
17. 10.1158/0008-5472.CAN-15-240210.1158/0008-5472.CAN-15-2402 ↗
18. 10.1016/j.cell.2019.11.03610.1016/j.cell.2019.11.036 ↗
19. 10.1038/nbt.295810.1038/nbt.2958 ↗
20. 10.1002/adma.20130204210.1002/adma.201302042 ↗
21. 10.1002/elsc.20120015210.1002/elsc.201200152 ↗
22. 10.1016/j.biomaterials.2017.01.04210.1016/j.biomaterials.2017.01.042 ↗
23. 10.1073/pnas.152451011310.1073/pnas.1524510113 ↗
24. 10.1002/adtp.20190011310.1002/adtp.201900113 ↗
25. 10.1002/bit.2604510.1002/bit.26045 ↗
26. 10.1016/j.ccell.2017.02.00910.1016/j.ccell.2017.02.009 ↗
27. 10.1016/j.cell.2015.10.06710.1016/j.cell.2015.10.067 ↗
28. 10.1002/glia.2113610.1002/glia.21136 ↗
29. 10.3389/fncel.2018.0023510.3389/fncel.2018.00235 ↗
30. 10.1002/glia.2352010.1002/glia.23520 ↗
31. 10.1371/journal.pone.005475210.1371/journal.pone.0054752 ↗
32. 10.1038/s41467-019-10493-610.1038/s41467-019-10493-6 ↗
33. 10.1038/s41586-019-1564-x10.1038/s41586-019-1564-x ↗
34. 10.1002/stem.205310.1002/stem.2053 ↗
35. 10.1158/0008-5472.CAN-16-252410.1158/0008-5472.CAN-16-2524 ↗
36. 10.1038/nature0523610.1038/nature05236 ↗
37. 10.1038/nature0312810.1038/nature03128 ↗
38. 10.3389/fmats.2018.0003910.3389/fmats.2018.00039 ↗
39. 10.1016/j.biocel.2004.01.01310.1016/j.biocel.2004.01.013 ↗
40. 10.1038/nature0951310.1038/nature09513 ↗
41. 10.1146/annurev.neuro.22.1.1110.1146/annurev.neuro.22.1.11 ↗
42. 10.1016/S0896-6273(00)80781-310.1016/S0896-6273(00)80781-3 ↗
43. Price L. · 2016
44. 10.1016/j.tins.2015.08.00310.1016/j.tins.2015.08.003 ↗
45. 10.1038/nrc70610.1038/nrc706 ↗
46. 10.1124/pr.58.2.310.1124/pr.58.2.3 ↗
47. 10.1038/nn.428810.1038/nn.4288 ↗
48. 10.1038/nn.294610.1038/nn.2946 ↗
49. 10.1093/cercor/bhs19810.1093/cercor/bhs198 ↗
50. 10.1016/j.neuron.2010.08.00710.1016/j.neuron.2010.08.007 ↗
51. 10.3389/fncel.2019.0040510.3389/fncel.2019.00405 ↗
52. 10.1038/s41467-019-13812-z10.1038/s41467-019-13812-z ↗
53. 10.3389/fncel.2018.0049410.3389/fncel.2018.00494 ↗
54. 10.1002/ana.41030041110.1002/ana.410300411 ↗
55. 10.1016/0304-3940(79)96130-510.1016/0304-3940(79)96130-5 ↗
56. 10.1007/PL0000069010.1007/PL00000690 ↗
57. 10.1111/j.1750-3639.2008.00195.x10.1111/j.1750-3639.2008.00195.x ↗
58. 10.1007/s12079-009-0078-y10.1007/s12079-009-0078-y ↗
59. 10.1016/B978-008045382-8.00132-510.1016/B978-008045382-8.00132-5 ↗
60. 10.1007/BF0019013610.1007/BF00190136 ↗
61. 10.1016/j.cell.2006.06.04410.1016/j.cell.2006.06.044 ↗
62. 10.1016/j.actbio.2009.03.03310.1016/j.actbio.2009.03.033 ↗
63. 10.3389/fimmu.2015.0026110.3389/fimmu.2015.00261 ↗
64. 10.1038/nrn355010.1038/nrn3550 ↗
65. 10.1007/s00441005093810.1007/s004410050938 ↗
66. 10.1083/jcb.138.3.70710.1083/jcb.138.3.707 ↗
67. 10.1158/1078-0432.CCR-07-122810.1158/1078-0432.CCR-07-1228 ↗
68. 10.1007/s00262-018-2261-610.1007/s00262-018-2261-6 ↗
69. 10.1007/s11060-014-1541-z10.1007/s11060-014-1541-z ↗
70. 10.1016/j.addr.2015.11.00110.1016/j.addr.2015.11.001 ↗
71. 10.1038/sj.bjc.660376610.1038/sj.bjc.6603766 ↗
72. 10.1038/s41578-019-0135-y10.1038/s41578-019-0135-y ↗
73. 10.1080/19336918.2014.100007110.1080/19336918.2014.1000071 ↗
74. 10.1016/j.matbio.2014.03.00110.1016/j.matbio.2014.03.001 ↗
75. 10.1172/JCI11551610.1172/JCI115516 ↗
76. 10.1038/onc.2013.30510.1038/onc.2013.305 ↗
77. 10.1007/s00018-012-1115-110.1007/s00018-012-1115-1 ↗
78. 10.1021/mp500082810.1021/mp5000828 ↗
79. 10.1055/s-0034-139915210.1055/s-0034-1399152 ↗
80. Netti P. A. · Cancer Res. · 1995 · 55 · 5451
81. 10.1136/svn-2018-00019810.1136/svn-2018-000198 ↗
82. Willis C. M. · 2016
83. 10.1002/ana.2367410.1002/ana.23674 ↗
84. 10.1042/CS2016060410.1042/CS20160604 ↗
85. 10.4049/jimmunol.178.12.815810.4049/jimmunol.178.12.8158 ↗
86. 10.1016/j.tibtech.2012.10.00510.1016/j.tibtech.2012.10.005 ↗
87. 10.1002/biot.20060008110.1002/biot.200600081 ↗
88. 10.1016/j.bioactmat.2017.11.00810.1016/j.bioactmat.2017.11.008 ↗
89. 10.1016/j.addr.2018.06.01110.1016/j.addr.2018.06.011 ↗
90. 10.1016/j.biomaterials.2016.06.01210.1016/j.biomaterials.2016.06.012 ↗
91. 10.1016/j.biomaterials.2004.04.01110.1016/j.biomaterials.2004.04.011 ↗
92. 10.1088/1758-5090/8/3/03200210.1088/1758-5090/8/3/032002 ↗
93. 10.3390/ijms1811234810.3390/ijms18112348 ↗
94. 10.1016/j.biomaterials.2012.09.03510.1016/j.biomaterials.2012.09.035 ↗
95. 10.1021/acsami.8b1070310.1021/acsami.8b10703 ↗
96. 10.1016/j.biomaterials.2003.10.05210.1016/j.biomaterials.2003.10.052 ↗
97. 10.1089/ten.tea.2009.065010.1089/ten.tea.2009.0650 ↗
98. 10.1002/biot.20100034010.1002/biot.201000340 ↗
99. 10.1021/bm500027c10.1021/bm500027c ↗
100. 10.1016/j.biomaterials.2008.12.08410.1016/j.biomaterials.2008.12.084 ↗