Evidence map›Paper›PMID 40235119›Full record

ArticleBiophysical journal2025

Protrusion force and cell-cell adhesion-induced polarity alignment govern collective migration modes.

Huijing Wang, Catalina Ardila, Ajita Jindal, Vaishali Aggarwal, Weikang Wang, Jonathan Vande Geest, Yi Jiang, Jianhua Xing, Shilpa Sant

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Huijing WangDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Catalina ArdilaDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Ajita JindalDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Vaishali AggarwalDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Weikang WangInstitute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China; School of Physical Sciences, University of Chinese Academy of Sciences, Beijing, China.
Jonathan Vande GeestDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Yi JiangDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia.
Jianhua XingDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: xing1@pitt.edu.
Shilpa SantDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Pharmaceutical Sciences, Retzky College of Pharmacy, University of Illinois Chicago, Chicago, Illinois. Electronic address: sants@uic.edu.

Funding

Three-dimensional organoid models to study breast cancer progressionR37CA232209 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANT, SHILPA · 2018 to 2024
$3.0M
Learn Systems Biology Equations From Snapshot Single Cell Genomic DataR01GM148525 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jianhua Xing · 2023 to 2026
$1.3M
NCI NIH HHS R37 CA232209NIGMS NIH HHS R01 GM148525
6 · The paper itself

Abstract

Collective migration refers to the coordinated movement of cells as a single unit during migration. Although collective migration enhances invasive and metastatic potential in cancer, the mechanisms driving this behavior and regulating tumor migration plasticity remain poorly understood. This study provides a mechanistic model explaining the emergence of different modes of collective migration under hypoxia-induced secretome. We focus on the interplay between cellular protrusion force and cell-cell adhesion using collectively migrating three-dimensional microtumors as models with well-defined microenvironments. Large microtumors show directional migration due to intrinsic hypoxia, whereas small microtumors exhibit radial migration when exposed to hypoxic secretome. Here, we developed an in silico multi-scale microtumor model based on the cellular Potts model and implemented in CompuCell3D to elucidate underlying mechanisms. We identified distinct migration modes within specific regions of protrusion force and cell-cell adhesion parameter space and studied these modes using in vitro experimental microtumor models. We show that sufficient cellular protrusion force is crucial for radial and directional collective microtumor migration. Radial migration emerges when sufficient cellular protrusion force is generated, driving neighboring cells to move collectively in diverse directions. Within migrating tumors, strong cell-cell adhesion enhances the alignment of cell polarity, breaking the symmetric angular distribution of protrusion forces and leading to directional microtumor migration. The integrated results from the experimental and computational models provide fundamental insights into collective migration in response to different microenvironmental stimuli. Our computational and experimental models can adapt to various scenarios, providing valuable insights into cancer migration mechanisms.

Indexed as

Cell AdhesionCell MovementCell PolarityMechanical PhenomenaBiomechanical PhenomenaCell Line, TumorHumansModels, Biological

Identifiers

PMID40235119
PMCPMC12256861

What OpenQuestion holds

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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.