Evidence map›Paper›PMID 41352623›Full record

ArticleActa biomaterialia2026

Extracellular matrix physical properties regulate cancer cell morphological transitions in 3D hydrogel microtissues.

Ayda Pourmostafa, Gabrielle Uskach, Mohammad Jafari, Elvan Dogan, Swaprakash Yogeshwaran, Teresa L Wood, Sobhan Ghaeini-Hesaroueiye, Lin Han, Farid Alisafaei, Amir K Miri

Abstract read
In one paragraph

Article in Acta biomaterialia, 2026. 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. Review
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

10 authors.

Ayda PourmostafaDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Gabrielle UskachDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Mohammad JafariDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Elvan DoganDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA; Department of Pharmacology, Physiology, and Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ, USA.
Swaprakash YogeshwaranDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Teresa L WoodDepartment of Pharmacology, Physiology, and Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ, USA.
Sobhan Ghaeini-HesaroueiyeSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Lin HanSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Farid AlisafaeiDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, USA. Electronic address: farid.alisafaei@njit.edu.
Amir K MiriDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA; Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, USA. Electronic address: am3296@njit.edu.

Funding

The Role of Tension Anisotropy in Fibroblast ActivationR01AR084243 · NIAMS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI Farid Alisafaei · 2025 to 2026
$633k
NIAMS NIH HHS R01 AR084243
6 · The paper itself

Abstract

Solid tumor cells can adopt a range of morphological states linked to distinct functional behaviors during tumor progression. Some remain in a proliferative state, forming tight clusters, others detach and elongate into an invasive state, and some retain a rounded amoeboid form with minimal matrix adhesion. However, factors determining which morphological state a cell adopts remain poorly understood. We used a combined theoretical and experimental framework to study how extracellular matrix (ECM) mechanics regulate solid tumor cell morphology in three-dimensional (3D) environments. We developed a theoretical mechanical energy model based on the minimum energy principle, which suggests that a cell will adopt the morphological state (rounded, elongated, or clustered) that minimizes the total energy of the cell-ECM system. Using MDA-MB-231 breast cancer cells, we established a reliable protocol for encapsulating cells into 3D naturally-derived hydrogels with controlled stiffness. We confirmed the model's results in vitro over an extended culture period. In soft ECMs, cells transitioned over time to an elongated morphology, while in stiff ECMs, cells favored clustered configurations. These transitions were governed by the hydrogel-based ECM's physical, not chemical, properties, as confirmed using chemically distinct yet mechanically matched composite matrices. These new insights have implications for solid tumor cell invasion modeling in vitro. STATEMENT OF SIGNIFICANCE: We study the fundamental question of how solid tumor cells adapt their morphology in response to the physical characteristics of the extracellular matrix. This work establishes a robust experimental platform for studying cellular markers in triple-negative breast cancer (TNBC) cells, followed by a biophysical modeling of the cell invasion. Cell clustering was observed in stiffe ECMs, while an elongated morphology was observed in soft ECMs. Our theoretical modeling revealed how the biophysical properties of the matrix can impact cell morphology and invasion behavior. This work can contribute to personalized medicine by making more effective, tailored cancer models.

Indexed as

Breast NeoplasmsCell Culture Techniques, Three DimensionalCell ShapeExtracellular MatrixHydrogelsCell Line, TumorFemaleHumansModels, BiologicalHydrogelsCancer mechanobiologyGelatin matrixMinimum free energyRemodeling

Identifiers

PMID41352623
PMCPMC13251587

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Registered trials

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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.