Evidence map›Paper›PMID 39418263›Full record

ArticlePloS one2024

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

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

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. A 3D-Printable Cell Array for In Vitro Breast Cancer Modeling.International journal of molecular sciences · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Burcu Firatligil-YildirirDepartment of Molecular Biology and Genetics, Izmir Institute of Technology, Izmir, Turkiye.ORCID 0000-0001-8716-542X
Gizem Bati-AyazIzmir Institute of Technology, Biotechnology and Bioengineering Graduate Program, Izmir, Turkiye.
NonappaFaculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
Devrim Pesen-OkvurDepartment of Molecular Biology and Genetics, Izmir Institute of Technology, Izmir, Turkiye.
Ozden Yalcin-OzuysalDepartment of Molecular Biology and Genetics, Izmir Institute of Technology, Izmir, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Bone NeoplasmsBreast NeoplasmsNeoplasm InvasivenessAnimalsCell Line, TumorCell MovementChemotaxisCollagen Type IExtracellular MatrixFemaleHumansMiceTumor MicroenvironmentCollagen Type I

Identifiers

PMID39418263
PMCPMC11486417

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.