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Invasion/chemotaxis- and extravasation-chip models for breast cancer bone metastasis

Firatligil-Yildirir, Burcu; Bati-Ayaz, Gizem; Nonappa, Gizem; Pesen-Okvur, Devrim; Yalcin-Ozuysal, Ozden (2024-10)

 
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Firatligil-Yildirir, Burcu
Bati-Ayaz, Gizem
Nonappa, Gizem
Pesen-Okvur, Devrim
Yalcin-Ozuysal, Ozden
10 / 2024

PLoS ONE
e0309285
doi:10.1371/journal.pone.0309285
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202410309677

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Peer reviewed
Tiivistelmä
Bone is one of the most frequently targeted organs in metastatic cancers including the breast. Breast cancer bone metastasis often results in devastating outcomes as limited treatment options are currently available. Therefore, innovative methods are needed to provide earlier detection and thus better treatment and prognosis. Here, we present a new approach to model bone-like microenvironments to detect invasion and extravasation of breast cancer cells using invasion/chemotaxis (IC-) and extravasation (EX-) chips, respectively. Our results show that the behaviors of MDA-MB-231 breast cancer cells on IC- and EX-chip models correlate with their in vivo metastatic potential. Our culture model constitutes cell lines representing osteoblasts, bone marrow stromal cells, and monocytes embedded in three-dimensional (3D) collagen I-based extracellular matrices of varying composition and stiffness. We show that collagen I offers a better bone-like environment for bone cells and matrix composition and stiffness regulate the invasion of breast cancer cells. Using in situ contactless rheological measurements under cell culture conditions, we show that the presence of cells increased the stiffness values of the matrices up to 1200 Pa when monitored for five days. This suggests that the cellular composition has a significant effect on regulating matrix mechanical properties, which in turn contribute to the invasiveness. The platforms we present here enable the investigation of the underlying molecular mechanisms in breast cancer bone metastasis and provide the groundwork of developing preclinical tools for the prediction of bone metastasis risk.
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  • TUNICRIS-julkaisut [22389]
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste