Evidence map›Paper›PMID 31475279›Full record

ArticleSoft matter2019

A traction force threshold signifies metastatic phenotypic change in multicellular epithelia.

Yao Zhang, Xuechen Shi, Tiankai Zhao, Changjin Huang, Qiong Wei, Xin Tang, Lorraine C Santy, M Taher A Saif, Sulin Zhang

Abstract read
In one paragraph

Article in Soft matter, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. Article
  8. OncogenicScience advances · 2021
    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

9 authors.

Yao ZhangDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA. suz10@psu.edu.
Xuechen Shi
Tiankai Zhao
Changjin Huang
Qiong Wei
Xin Tang
Lorraine C Santy
M Taher A Saif
Sulin Zhang

Funding

Cytohesin dependent ARF to Rac signaling in HGF mediated motilityR01DK093729 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI SANTY, LORRAINE C · 2012 to 2016
$1.4M
Mechano-targeting of nanoparticles to atherogenic endotheliumR21HL122902 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI BUTLER, PETER J · 2014 to 2015
$377k
NHLBI NIH HHS R21 HL122902NIDDK NIH HHS R01 DK093729
6 · The paper itself

Abstract

Cancer metastasis has been believed as a genetically programmed process that is commonly marked by biochemical signals. Here using extracellular matrix control of cellular mechanics, we establish that cellular force threshold can also mark in vitro metastatic phenotypic change and malignant transformation in HCT-8 cell colonies. We observe that for prolonged culture time the HCT-8 cell colonies disperse into individual malignant cells, and the metastatic-like dispersion depends on both cell-seeding gel stiffness and colony size. Cellular force microscopies show that gel stiffness and colony size are also two key parameters that modulate cellular forces, suggesting the correlations between the cellular forces and the metastatic phenotypic change. Using our recently developed biophysical model, we construct an extracellular traction phase diagram in the stiffness-size space, filled with experimental data on the colony behavior. From the phase diagram we identify a phase boundary as a traction force threshold above which the metastatic phenotypic transition occurs and below which the cell colonies remain cohesive. Our finding suggests that the traction threshold can be regarded as an effective mechano-marker for the onset of the metastatic-like dispersion and malignant transformation.

Indexed as

Cell AdhesionCell Line, TumorCell Transformation, NeoplasticColonEpithelial CellsExtracellular MatrixHumansMechanotransduction, CellularModels, BiologicalPhenotypeStress, Mechanical

Identifiers

PMID31475279
PMCPMC7039046

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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.