Evidence map›Paper›PMID 31630809›Full record

ArticleBiophysical journal2019

Are the Effects of Independent Biophysical Factors Linearly Additive? A 3D Tumor Migration Model.

Ang Li, Meng Sun, Fabian Spill, Ren Sun, Muhammad H Zaman

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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.

Ang LiMOE Key Laboratory of Hydrodynamics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
Meng SunDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Fabian SpillDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts; School of Mathematics, University of Birmingham, Birmingham, United Kingdom.
Ren SunMOE Key Laboratory of Hydrodynamics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address: drrsun@sjtu.edu.cn.
Muhammad H ZamanDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts; Howard Hughes Medical Institute, Boston University, Boston, Massachusetts. Electronic address: zaman@bu.edu.

Funding

Physics of collective cellular migration in lung health and diseaseP01HL120839 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2014 to 2018
$12.2M
Epithelial layer jamming in breast cancer cell migrationU01CA202123 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2015 to 2019
$3.4M
Modeling bi-directional signaling and cytoskeletal dynamics in 3D cell migrationsU01CA177799 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GERTLER, FRANK B, KAMM, ROGER D · 2013 to 2017
$3.0M
NCI NIH HHS U01 CA177799NCI NIH HHS U01 CA202123NHLBI NIH HHS P01 HL120839
6 · The paper itself

Abstract

Interstitial fluid flow plays a critical role in tumor cell invasion, yet this role has not been explored extensively in combination with other microenvironmental factors. Here, we establish a novel computational model of three-dimensional breast cancer cell migration to unveil the effect of interstitial fluid flow in the dependence of various extracellular matrix (ECM) physical properties. Our model integrates several principal factors: fluid dynamics, autologous chemotaxis, collagen fiber network structure, ECM stiffness, and cell-fiber and cell-flow interaction. First, independently with an aligned collagen fiber network and interstitial fluid flow, this model is validated by successfully reproducing the cell migration patterns. In the model, the interstitial fluid flow leads to directional symmetry breaking of chemotactic migration and synergizes with the ECM orientation to regulate cell migration. This synergy is universal in both the mesenchymal and the amoeboid migration modes, despite the fact that the cell-ECM interaction are different. Consequently, we construct a cell displacement function depending on these factors. Our cell migration model enables three-dimensional cancer migration prediction, mechanism exploration, and inhibition treatment design in a complex tumor microenvironment.

Indexed as

Biophysical PhenomenaCell MovementImaging, Three-DimensionalModels, BiologicalBiomechanical PhenomenaComputer SimulationExtracellular MatrixFemaleHumansNeoplasmsReproducibility of Results

Identifiers

PMID31630809
PMCPMC6838959

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.