journal article·2026-02Open access

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann

Advanced Functional Materials· Volume 36· Issue 15

Abstract

Abstract A 3D cellular breast‐to‐brain tumor model is developed using thiolated‐hyaluronic‐acid‐based hydrogel cross‐linked with extracellular matrix (ECM) proteins collagen type IV, laminin‐211, and fibronectin to mimic the native‐brain ECM. The 3D model resembles the basement membrane around the blood vessels, which surrounds the brain parenchyma and is important for initial survival of breast tumor cells passing the blood–brain barrier. Brain metastasis in breast cancer patients is one of the leading causes of mortality. While, supplemented ECM proteins do not significantly alter the nominal stress response of the hydrogel, the analysis of the tumor microenvironment interactions displays a significant impact of neuron and astrocyte presence on ECM secretion. Additional ECM supplementation does not further promote proliferation of breast tumor cells in a natively extrinsic surrounding. MDA‐MB‐361 exhibits numerous contacts with collagen type IV. Neuronal network activity is significantly increased in the presence of MDA‐MB‐361 cells. Increased colocalization of the vesicular glutamate transporter 1 on neurons and connexin 43 on astrocytes argues for beneficial interactions for the tumor's intrinsic proliferation capacity via pseudosynaptic contacts and gap junctions as shown in vivo. Such 3D disease models represent a suitable platform to further investigate tumor treatment options in a systematic manner.
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Research context

OpenAlex topics: Barrier Structure and Function Studies · Cancer Cells and Metastasis · 3D Printing in Biomedical Research

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

Affiliations

Institute for Clinical Neurobiology University Hospital Würzburg Versbacherstr. 5 97078 Würzburg Germany

Institute of Continuum Mechanics and Biomechanics FAU Erlangen‐Nürnberg Dr.‐Mack‐Str. 81 90762 Fürth Germany

Rudolf Virchow Center Center for Integrative and Translational Bioimaging Julius‐Maximilians‐University Würzburg Josef‐Schneider‐Str. 2 97080 Würzburg Germany

Department of Functional Materials in Medicine and Dentistry and Bavarian Polymer Institute University Hospital Würzburg Pleicherwall 2 97070 Würzburg Germany

Imaging Core Facility of the Biocenter Julius‐Maximilians‐University Wuerzburg 97074 Wuerzburg Germany

Department for Functional Materials in Medicine and Dentistry (FMZ) University Hospital Würzburg And Translational Center Regenerative Therapies (TLC‐RT) Fraunhofer Institute for Silicate Research ISC Röntgenring 11 97070 Würzburg Germany

University Hospital Erlangen FAU Erlangen‐Nürnberg Department of Gynecology and Obstetrics Laboratory for Molecular Medicine Universitätsstr. 21/23 91054 Erlangen Germany

Funding

Deutsche Forschungsgemeinschaft · Graduate School of Life Sciences, Julius-Maximilians-Universität Würzburg

References (79)

Show source-provided references
1. Kapalczynska M. · Arch. Med. Sci. · 2018 · 14 · 910
2. 10.1016/j.biomaterials.2015.09.03510.1016/j.biomaterials.2015.09.035 ↗
3. 10.1016/j.drudis.2012.10.00310.1016/j.drudis.2012.10.003 ↗
4. 10.1016/j.drudis.2022.10342610.1016/j.drudis.2022.103426 ↗
5. 10.1016/j.ccell.2023.02.01610.1016/j.ccell.2023.02.016 ↗
6. 10.1016/j.tcb.2022.03.00210.1016/j.tcb.2022.03.002 ↗
7. 10.7554/eLife.6153910.7554/eLife.61539 ↗
8. 10.1080/20013078.2020.172238510.1080/20013078.2020.1722385 ↗
9. 10.1038/s41580-022-00460-310.1038/s41580-022-00460-3 ↗
10. 10.3390/ijms2111385110.3390/ijms21113851 ↗
11. 10.3389/fnhum.2023.127850110.3389/fnhum.2023.1278501 ↗
12. 10.1038/s41586-022-04719-910.1038/s41586-022-04719-9 ↗
13. 10.1038/s41556-018-0138-810.1038/s41556-018-0138-8 ↗
14. 10.1038/s43018-019-0006-x10.1038/s43018-019-0006-x ↗
15. 10.1038/s41586-023-06678-110.1038/s41586-023-06678-1 ↗
16. 10.1242/jcs.02382010.1242/jcs.023820 ↗
17. 10.1093/neuonc/now24110.1093/neuonc/now241 ↗
18. 10.1038/s41578-020-0199-810.1038/s41578-020-0199-8 ↗
19. 10.1016/j.bpj.2014.10.03510.1016/j.bpj.2014.10.035 ↗
20. 10.3390/pharmaceutics1501026110.3390/pharmaceutics15010261 ↗
21. 10.1016/j.bioactmat.2024.08.03710.1016/j.bioactmat.2024.08.037 ↗
22. 10.3390/cancers1320514410.3390/cancers13205144 ↗
23. 10.1002/adtp.20230045010.1002/adtp.202300450 ↗
24. 10.1002/adfm.20241921110.1002/adfm.202419211 ↗
25. 10.1038/s41586-019-1564-x10.1038/s41586-019-1564-x ↗
26. 10.1002/adbi.20240018410.1002/adbi.202400184 ↗
27. 10.1038/s41586-019-1576-610.1038/s41586-019-1576-6 ↗
28. Venkataramani V. · BioRxiv · 2024
29. 10.3389/fonc.2017.0025210.3389/fonc.2017.00252 ↗
30. 10.1007/s10585-016-9835-510.1007/s10585-016-9835-5 ↗
31. 10.1186/s12987-020-00230-310.1186/s12987-020-00230-3 ↗
32. 10.1007/s11060-024-04760-w10.1007/s11060-024-04760-w ↗
33. 10.1007/s10456-005-9010-010.1007/s10456-005-9010-0 ↗
34. 10.1007/s11060-011-0550-410.1007/s11060-011-0550-4 ↗
35. 10.3390/jcm1105125010.3390/jcm11051250 ↗
36. 10.3390/cancers1413311510.3390/cancers14133115 ↗
37. 10.1083/jcb.20070318710.1083/jcb.200703187 ↗
38. 10.1523/JNEUROSCI.3678-13.201410.1523/JNEUROSCI.3678-13.2014 ↗
39. 10.1091/mbc.e17-02-012610.1091/mbc.e17-02-0126 ↗
40. 10.1002/adfm.20241968010.1002/adfm.202419680 ↗
41. 10.1016/j.mcn.2009.10.00410.1016/j.mcn.2009.10.004 ↗
42. 10.1038/s41467-025-58295-310.1038/s41467-025-58295-3 ↗
43. 10.1093/jnci/53.3.66110.1093/jnci/53.3.661 ↗
44. 10.3892/ol.2014.219910.3892/ol.2014.2199 ↗
45. 10.1002/adhm.20220182610.1002/adhm.202201826 ↗
46. 10.1038/s41467-020-18794-x10.1038/s41467-020-18794-x ↗
47. 10.3390/biomedicines1211250010.3390/biomedicines12112500 ↗
48. 10.1186/s13024-021-00502-y10.1186/s13024-021-00502-y ↗
49. 10.1186/s13024-024-00704-010.1186/s13024-024-00704-0 ↗
50. 10.1016/S0736-0266(03)00030-510.1016/S0736-0266(03)00030-5 ↗
51. 10.1007/978-0-387-73906-9_1110.1007/978-0-387-73906-9_11 ↗
52. 10.3389/fbioe.2021.70473810.3389/fbioe.2021.704738 ↗
53. 10.1007/s11831-019-09352-w10.1007/s11831-019-09352-w ↗
54. 10.1002/cnr2.118510.1002/cnr2.1185 ↗
55. 10.1016/j.conb.2007.01.01110.1016/j.conb.2007.01.011 ↗
56. 10.1073/pnas.050203810210.1073/pnas.0502038102 ↗
57. 10.1038/nature1826810.1038/nature18268 ↗
58. 10.1002/adma.20250199410.1002/adma.202501994 ↗
59. 10.1002/adhm.20190163010.1002/adhm.201901630 ↗
60. 10.1088/1741-2560/11/6/06600910.1088/1741-2560/11/6/066009 ↗
61. 10.1038/s41598-024-69570-610.1038/s41598-024-69570-6 ↗
62. 10.1038/s41598-020-78087-710.1038/s41598-020-78087-7 ↗
63. 10.3390/cancers1305107810.3390/cancers13051078 ↗
64. 10.1093/neuonc/noaa15810.1093/neuonc/noaa158 ↗
65. 10.1038/s41392-024-02108-410.1038/s41392-024-02108-4 ↗
66. 10.1007/s12672-024-00993-310.1007/s12672-024-00993-3 ↗
67. 10.1016/j.cell.2024.11.00210.1016/j.cell.2024.11.002 ↗
68. Lamberger Z. · Int. J. Bioprint. · 2024 · 11 · 209
69. 10.1002/adhm.20240252710.1002/adhm.202402527 ↗
70. 10.1002/mabi.20210033110.1002/mabi.202100331 ↗
71. 10.1088/1758-5090/aa8cb710.1088/1758-5090/aa8cb7 ↗
72. 10.1016/S0142-9612(98)00025-810.1016/S0142-9612(98)00025-8 ↗
73. 10.1002/adbi.20230002910.1002/adbi.202300029 ↗
74. 10.1016/j.apmt.2021.10109710.1016/j.apmt.2021.101097 ↗
75. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
76. 10.1038/srep0416010.1038/srep04160 ↗
77. 10.1242/jcs.0153210.1242/jcs.01532 ↗
78. Schmidt U. · 2018
79. 10.1371/journal.pcbi.100605410.1371/journal.pcbi.1006054 ↗