journal article·2019-04Open access

Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature‐on‐a‐Chip System Correlates with Tumor Heterogeneity and Subtypes

Yang Xiao, Dongjoo Kim, Burak Dura, Kerou Zhang, Runchen Yan, Huamin Li, Edward Han, Joshua Ip, Pan Zou, Jun Liu, Ann Tai Chen, Alexander O. Vortmeyer, Jiangbing Zhou, Rong Fan

Advanced Science· Volume 6· Issue 8

Abstract

Abstract The perivascular niche (PVN) plays an essential role in brain tumor stem‐like cell (BTSC) fate control, tumor invasion, and therapeutic resistance. Here, a microvasculature‐on‐a‐chip system as a PVN model is used to evaluate the ex vivo dynamics of BTSCs from ten glioblastoma patients. BTSCs are found to preferentially localize in the perivascular zone, where they exhibit either the lowest motility, as in quiescent cells, or the highest motility, as in the invasive phenotype, with migration over long distance. These results indicate that PVN is a niche for BTSCs, while the microvascular tracks may serve as a path for tumor cell migration. The degree of colocalization between tumor cells and microvessels varies significantly across patients. To validate these results, single‐cell transcriptome sequencing (10 patients and 21 750 single cells in total) is performed to identify tumor cell subtypes. The colocalization coefficient is found to positively correlate with proneural (stem‐like) or mesenchymal (invasive) but not classical (proliferative) tumor cells. Furthermore, a gene signature profile including PDGFRA correlates strongly with the “homing” of tumor cells to the PVN. These findings demonstrate that the model can recapitulate in vivo tumor cell dynamics and heterogeneity, representing a new route to study patient‐specific tumor cell functions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Single-cell and spatial transcriptomics · Mathematical Biology Tumor Growth · Glioma Diagnosis and Treatment

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

Affiliations

Department of Biomedical Engineering Yale University New Haven CT 06520 USA

School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA

Applied Math Program Yale University New Haven CT 06520 USA

Department of Neurosurgery Yale School of Medicine New Haven CT 06520 USA

Department of Pathology Indiana University Health Pathology Laboratory Indianapolis IN 46202 USA

Yale Comprehensive Cancer Center New Haven CT 06520 USA

Funding

National Science Foundation · National Cancer Institute · National Institutes of Health

References (85)

Show source-provided references
1. 10.4161/cc.9.15.1271010.4161/cc.9.15.12710 ↗
2. 10.1038/nrc224610.1038/nrc2246 ↗
3. 10.1016/j.mvr.2007.05.00310.1016/j.mvr.2007.05.003 ↗
4. 10.1016/j.trecan.2015.10.00910.1016/j.trecan.2015.10.009 ↗
5. 10.1101/gad.261982.11510.1101/gad.261982.115 ↗
6. 10.1007/s40139-013-0012-010.1007/s40139-013-0012-0 ↗
7. 10.1016/j.bbagen.2012.10.00810.1016/j.bbagen.2012.10.008 ↗
8. 10.1002/cam4.10510.1002/cam4.105 ↗
9. Scherer H. J. · Am. J. Cancer · 1938 · 34 · 333
10. 10.1136/jnnp.3.2.14710.1136/jnnp.3.2.147 ↗
11. 10.1038/ncomms519610.1038/ncomms5196 ↗
12. 10.1038/nrn376510.1038/nrn3765 ↗
13. 10.1158/0008-5472.CAN-10-260210.1158/0008-5472.CAN-10-2602 ↗
14. 10.1002/glia.2114210.1002/glia.21142 ↗
15. 10.1038/nrm185810.1038/nrm1858 ↗
16. 10.1016/j.cell.2007.08.00610.1016/j.cell.2007.08.006 ↗
17. 10.1016/j.chembiol.2017.06.01210.1016/j.chembiol.2017.06.012 ↗
18. 10.1016/j.pharmthera.2016.03.01310.1016/j.pharmthera.2016.03.013 ↗
19. 10.3892/or.2015.376710.3892/or.2015.3767 ↗
20. 10.1177/108705711769679510.1177/1087057117696795 ↗
21. 10.3389/fphar.2018.0000610.3389/fphar.2018.00006 ↗
22. 10.1016/j.semcancer.2015.08.00710.1016/j.semcancer.2015.08.007 ↗
23. 10.1007/978-1-60761-984-0_2010.1007/978-1-60761-984-0_20 ↗
24. 10.1371/journal.pone.007534510.1371/journal.pone.0075345 ↗
25. 10.1126/science.aaf362710.1126/science.aaf3627 ↗
26. 10.1126/science.245129010.1126/science.2451290 ↗
27. 10.1016/j.biomaterials.2014.09.01010.1016/j.biomaterials.2014.09.010 ↗
28. Ayuso J. M. · Neuro‐Oncology · 2017 · 19 · 503
29. 10.1038/sj.onc.121094910.1038/sj.onc.1210949 ↗
30. 10.1016/j.ccr.2006.03.03010.1016/j.ccr.2006.03.030 ↗
31. 10.1089/ten.tec.2012.043010.1089/ten.tec.2012.0430 ↗
32. 10.1039/c3lc41320a10.1039/c3lc41320a ↗
33. 10.1038/nmat335710.1038/nmat3357 ↗
34. 10.1073/pnas.120124010910.1073/pnas.1201240109 ↗
35. 10.1172/JCI5875310.1172/JCI58753 ↗
36. 10.1073/pnas.122152611010.1073/pnas.1221526110 ↗
37. 10.1073/pnas.141711511210.1073/pnas.1417115112 ↗
38. 10.1073/pnas.121018210910.1073/pnas.1210182109 ↗
39. 10.1039/c3ib40170g10.1039/c3ib40170g ↗
40. 10.1016/j.mvr.2006.02.00510.1016/j.mvr.2006.02.005 ↗
41. 10.1039/C6LC01422D10.1039/C6LC01422D ↗
42. 10.1089/ten.tec.2013.037010.1089/ten.tec.2013.0370 ↗
43. 10.1039/C3IB40267C10.1039/C3IB40267C ↗
44. 10.1073/pnas.130450411010.1073/pnas.1304504110 ↗
45. 10.1038/srep3158910.1038/srep31589 ↗
46. 10.1016/j.neo.2014.06.00310.1016/j.neo.2014.06.003 ↗
47. 10.1016/j.ccr.2006.11.02010.1016/j.ccr.2006.11.020 ↗
48. 10.1158/0008-5472.CAN-04-136410.1158/0008-5472.CAN-04-1364 ↗
49. 10.3892/ijo.2012.159210.3892/ijo.2012.1592 ↗
50. 10.1002/glia.44015030310.1002/glia.440150303 ↗
51. 10.1097/00005072-200606000-0000110.1097/00005072-200606000-00001 ↗
52. 10.1038/nature0962410.1038/nature09624 ↗
53. 10.1038/nature0955710.1038/nature09557 ↗
54. 10.1016/j.cell.2013.02.02110.1016/j.cell.2013.02.021 ↗
55. 10.3389/fnmol.2017.0027610.3389/fnmol.2017.00276 ↗
56. 10.1016/j.ccell.2016.10.00910.1016/j.ccell.2016.10.009 ↗
57. 10.1080/20013078.2017.135947910.1080/20013078.2017.1359479 ↗
58. 10.1016/j.ccr.2009.12.02010.1016/j.ccr.2009.12.020 ↗
59. 10.1136/jnnp-2011-30070910.1136/jnnp-2011-300709 ↗
60. 10.1016/j.ccr.2006.02.01910.1016/j.ccr.2006.02.019 ↗
61. 10.1186/s13073-018-0567-910.1186/s13073-018-0567-9 ↗
62. 10.1016/j.ccell.2017.06.00310.1016/j.ccell.2017.06.003 ↗
63. 10.1126/science.125425710.1126/science.1254257 ↗
64. 10.1038/nmeth.415010.1038/nmeth.4150 ↗
65. 10.1038/nbt.285910.1038/nbt.2859 ↗
66. 10.1093/neuonc/nou14710.1093/neuonc/nou147 ↗
67. 10.1016/j.ccr.2014.06.00510.1016/j.ccr.2014.06.005 ↗
68. Charles N. · Cell Stem Cell · 2010 · 6
69. 10.1007/s00285-015-0908-x10.1007/s00285-015-0908-x ↗
70. 10.1089/ten.tec.2009.065210.1089/ten.tec.2009.0652 ↗
71. 10.1007/s11060-009-9976-310.1007/s11060-009-9976-3 ↗
72. 10.1038/sj.bjc.660541110.1038/sj.bjc.6605411 ↗
73. 10.1093/annonc/mdx10610.1093/annonc/mdx106 ↗
74. 10.1016/j.cell.2013.09.03410.1016/j.cell.2013.09.034 ↗
75. 10.1038/nprot.2017.01810.1038/nprot.2017.018 ↗
76. Dura B. · Nucleic Acids Res. · 2018
77. 10.1166/jbn.2014.181410.1166/jbn.2014.1814 ↗
78. 10.1152/ajpcell.00462.201010.1152/ajpcell.00462.2010 ↗
79. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
80. 10.1152/ajpheart.1983.245.3.H49510.1152/ajpheart.1983.245.3.H495 ↗
81. 10.1089/ten.tec.2009.065210.1089/ten.tec.2009.0652 ↗
82. 10.1371/journal.pone.012679710.1371/journal.pone.0126797 ↗
83. 10.1039/c3lc50424g10.1039/c3lc50424g ↗
84. 10.1016/j.cell.2015.05.00210.1016/j.cell.2015.05.002 ↗
85. 10.1038/nbt.319210.1038/nbt.3192 ↗