Evidence map›Paper›PMID 32094413›Full record

ArticleScientific reports2020

Physical Biomarkers of Disease Progression: On-Chip Monitoring of Changes in Mechanobiology of Colorectal Cancer Cells.

Fern J Armistead, Julia Gala De Pablo, Hermes Gadêlha, Sally A Peyman, Stephen D Evans

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Lidocaine enhances antitumor effects of sorafenib and GW5074 in colorectal cancer cells.Journal of enzyme inhibition and medicinal chemistry · 2026
    Article
  2. Article
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  4. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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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

5 authors.

Fern J ArmisteadMolecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
Julia Gala De PabloMolecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
Hermes GadêlhaDepartment of Engineering Mathematics, University of Bristol, Bristol, UK.
Sally A PeymanMolecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
Stephen D EvansMolecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK. s.d.evans@leeds.ac.uk.

Funding

Medical Research Council MC_PC_14109Medical Research Council MR/M009084/1
6 · The paper itself

Abstract

Disease can induce changes to subcellular components, altering cell phenotype and leading to measurable bulk-material mechanical properties. The mechanical phenotyping of single cells therefore offers many potential diagnostic applications. Cells are viscoelastic and their response to an applied stress is highly dependent on the magnitude and timescale of the actuation. Microfluidics can be used to measure cell deformability over a wide range of flow conditions, operating two distinct flow regimes (shear and inertial) which can expose subtle mechanical properties arising from subcellular components. Here, we investigate the deformability of three colorectal cancer (CRC) cell lines using a range of flow conditions. These cell lines offer a model for CRC metastatic progression; SW480 derived from primary adenocarcinoma, HT29 from a more advanced primary tumor and SW620 from lymph-node metastasis. HL60 (leukemia cells) were also studied as a model circulatory cell, offering a non-epithelial comparison. We demonstrate that microfluidic induced flow deformation can be used to robustly detect mechanical changes associated with CRC progression. We also show that single-cell multivariate analysis, utilising deformation and relaxation dynamics, offers potential to distinguish these different cell types. These results point to the benefit of multiparameter determination for improving detection and accuracy of disease stage diagnosis.

Indexed as

Lab-On-A-Chip DevicesCell Line, TumorCell NucleusColorectal NeoplasmsCytoskeletonDisease ProgressionElasticityHL-60 CellsHT29 CellsHumansLinear ModelsMicrofluidicsMultivariate AnalysisNeoplasm MetastasisPhenotypeSingle-Cell Analysis

Identifiers

PMID32094413
PMCPMC7039955

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.