Evidence map›Paper›PMID 31857292›Full record

ArticleCancer research2020

Cell Adhesiveness Serves as a Biophysical Marker for Metastatic Potential.

Pranjali Beri, Anna Popravko, Benjamin Yeoman, Aditya Kumar, Kevin Chen, Enio Hodzic, Alyssa Chiang, Afsheen Banisadr, Jesse K Placone, Hannah Carter and 3 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

40 citing papers in PubMed, 73 citations in OpenAlex.

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  13. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  14. Mechanobiological Modulation ofACS biomaterials science & engineering · 2024
    Article
  15. Article
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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

13 authors at 4 institutions in 1 country.

Pranjali BeriDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Anna PopravkoDepartment of Bioengineering, University of California, San Diego, La Jolla, California.ORCID 0000-0003-1161-6014
Benjamin YeomanDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Aditya KumarDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Kevin ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, California.ORCID 0000-0003-3111-8880
Enio HodzicDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Alyssa ChiangDepartment of Bioengineering, University of California, San Diego, La Jolla, California.
Afsheen BanisadrBiomedical Sciences Program, University of California, San Diego, La Jolla, California.
Jesse K PlaconeDepartment of Bioengineering, University of California, San Diego, La Jolla, California.ORCID 0000-0002-3464-8177
Hannah CarterMoores Cancer Center, University of California, San Diego, La Jolla, California.ORCID 0000-0002-1729-2463
Stephanie I FraleyDepartment of Bioengineering, University of California, San Diego, La Jolla, California.ORCID 0000-0003-1548-4442
Parag KatiraDepartment of Mechanical Engineering, San Diego State University, San Diego, California.
Adam J EnglerDepartment of Bioengineering, University of California, San Diego, La Jolla, California. aengler@ucsd.edu.
La Jolla Bioengineering Institute · USUniversity of California San Diego · USSan Diego State University · USSan Diego Supercomputer Center · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Contemporary Approaches to Cancer Cell Signaling and CommunicationT32CA009523 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DONOGHUE, DANIEL J, YANG, JING · 1985 to 2025
$12.1M
Biomaterial Mimicry of Dynamic Matrix Stiffening During Tumor ProgressionR01CA206880 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ENGLER, ADAM J, YANG, JING · 2016 to 2020
$1.8M
Predoctoral Training in Translational Musculoskeletal ResearchT32AR060712 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LIEBER, RICHARD L., SAH, ROBERT L · 2012 to 2016
$741k
Developing Adhesome Technology as a Physical Marker of Highly Metastatic CellsR21CA217735 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ENGLER, ADAM J · 2018 to 2020
$623k
Development of novel hiPSC-seeded, 3D printed vascular graftsF32HL126406 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI PLACONE, JESSE KENNETH · 2016 to 2017
$115k
NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA206880NCI NIH HHS R21 CA217735NCI NIH HHS T32 CA009523NHLBI NIH HHS F32 HL126406NIAMS NIH HHS T32 AR060712
6 · The paper itself

Abstract

Tumors are heterogeneous and composed of cells with different dissemination abilities. Despite significant effort, there is no universal biological marker that serves as a metric for metastatic potential of solid tumors. Common to disseminating cells from such tumors, however, is the need to modulate their adhesion as they detach from the tumor and migrate through stroma to intravasate. Adhesion strength is heterogeneous even among cancer cells within a given population, and using a parallel plate flow chamber, we separated and sorted these populations into weakly and strongly adherent groups; when cultured under stromal conditions, this adhesion phenotype was stable over multiple days, sorting cycles, and common across all epithelial tumor lines investigated. Weakly adherent cells displayed increased migration in both two-dimensional and three-dimensional migration assays; this was maintained for several days in culture. Subpopulations did not show differences in expression of proteins involved in the focal adhesion complex but did exhibit intrinsic focal adhesion assembly as well as contractile differences that resulted from differential expression of genes involved in microtubules, cytoskeleton linkages, and motor activity. In human breast tumors, expression of genes associated with the weakly adherent population resulted in worse progression-free and disease-free intervals. These data suggest that adhesion strength could potentially serve as a stable marker for migration and metastatic potential within a given tumor population and that the fraction of weakly adherent cells present within a tumor could act as a physical marker for metastatic potential. SIGNIFICANCE: Cancer cells exhibit heterogeneity in adhesivity, which can be used to predict metastatic potential.

Indexed as

Cell AdhesionBreast NeoplasmsCell Culture TechniquesCell Line, TumorCell MovementCell SeparationCoculture TechniquesCytoskeletonDatasets as TopicFemaleFlow CytometryFocal AdhesionsGene Expression Regulation, NeoplasticHumansMicrotubulesNeoplasm Metastasis

Identifiers

PMID31857292
PMCPMC7024658
OpenAlexW2994618810

What OpenQuestion holds

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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 OpenQuestion graph.