Evidence map›Paper›PMID 40104056›Full record

ArticleiScience2025

Durotaxis and extracellular matrix degradation promote the clustering of cancer cells.

Mykhailo Potomkin, Oleg Kim, Yuliya Klymenko, Mark Alber, Igor S Aranson

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Mykhailo PotomkinDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
Oleg KimDepartment of Biomedical Engineering and Mechanics, Fralin Biomedical Research Institute, Center for Soft Matter and Biological Physics, Virginia Tech, Blacksburg, VA 24061, USA.
Yuliya KlymenkoDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Mark AlberDepartment of Mathematics, University of California, Riverside, Riverside, CA 92521, USA.
Igor S AransonDepartment of Mathematics, Pennsylvania State University, University Park, PA 16802, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early stages of metastasis depend on the collective behavior of cancer cells and their interaction with the extracellular matrix (ECM). Cancer cell clusters are known to exhibit higher metastatic potential than single cells. To explore clustering dynamics, we developed a calibrated computational model describing how motile cancer cells biochemically and biomechanically interact with the ECM during the initial invasion phase, including ECM degradation and mechanical remodeling. The model reveals that cluster formation time, size, and shape are influenced by ECM degradation rates and cellular compliance to external stresses (durotaxis). The results align with experimental observations, demonstrating distinct cell trajectories and cluster morphologies shaped by biomechanical parameters. The simulations provide valuable insights into cancer invasion dynamics and may suggest potential therapeutic strategies targeting early-stage invasive cells.

Indexed as

biocomputational methodcancer systems biologyin silico biology

Identifiers

PMID40104056
PMCPMC11914804

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.