Evidence map›Paper›PMID 42499710›Full record

ReviewFrontiers in cell and developmental biology2026

Directed migration of cancer cells: a systems biophysics perspective.

Andrew Mugler, Bumsoo Han

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2026. 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

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

2 authors.

Andrew MuglerDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, United States.
Bumsoo HanDepartment of Mechanical Science and Engineering, Cancer Center at Illinois, Department of Bioengineering, Materials Research Laboratory, Institute of Genomic Biology and Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States.

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI ANDREW D MESECAR · 1985 to 2026
$43.4M
Reprogramming PDAC Stroma by Targeting Coagulation in the Tumor MicroenvironmentU01CA274304 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Melissa L. Fishel, Matthew J. Flick · 2022 to 2026
$4.6M
Tumor Engineering and Phenotyping Shared ResourceP30CA275774 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Rohit Bhargava · 2026 to 2026
$3.8M
NCI NIH HHS P30 CA023168NCI NIH HHS P30 CA275774NCI NIH HHS U01 CA274304
6 · The paper itself

Abstract

Directed migration of cancer cells is crucial to tumor progression, including tumorigenesis and metastasis. During migration, cancer cells encounter complex environmental cues and must process these signals to determine their migration direction. These cues include chemical, mechanical, and fluidic signals that vary across space and time. Although cancer cell migration has been extensively studied and many molecular regulators and signaling pathways have been identified, this molecular knowledge alone is often insufficient to predict migratory behavior in the highly heterogeneous tumor microenvironment. In this perspective, we present a systems biophysics framework that views directed migration as an information-processing problem constrained by the physics of cellular motion. Within this framework, a migrating cancer cell can be conceptualized as an integrated system composed of interacting subsystems responsible for information acquisition, information processing, and actuation. These subsystems collectively enable cells to sense environmental cues, process competing signals, and generate directed movement. Using a combination of biophysical analysis, experiments, and theoretical modeling, we discuss recent efforts to quantify fundamental sensing limits, characterize individual and collective information acquisition, investigate the capacity of cellular signal-processing machinery, and identify physical constraints governing migration accuracy and persistence. We further describe how minimal theoretical models and reverse-engineering approaches can reproduce key features of cellular decision-making, including the use of logic-gate-like behavior to process multiple environmental cues. Together, these studies illustrate how systems-level biophysical analysis can provide predictive insights into how cancer cells navigate complex microenvironments and may help establish a unified framework for understanding directed migration across diverse cellular systems.

Indexed as

chemotaxisepidermal growth factor (EGF)rheotaxistransforming growth factor beta (TGF-β)tumor microenvironment

Identifiers

PMID42499710
PMCPMC13395774

What OpenQuestion holds

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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 OpenQuestion graph.