Evidence map›Paper›PMID 29590600›Full record

ArticleBiophysical journal2018

Response of Single Cells to Shock Waves and Numerically Optimized Waveforms for Cancer Therapy.

Dongli Li, Antonio Pellegrino, Andre Hallack, Nik Petrinic, Antoine Jérusalem, Robin O Cleveland

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Dongli LiDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom. Electronic address: dongli.li@eng.ox.ac.uk.
Antonio PellegrinoDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Andre HallackDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Nik PetrinicDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Antoine JérusalemDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom. Electronic address: antoine.jerusalem@eng.ox.ac.uk.
Robin O ClevelandDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom. Electronic address: robin.cleveland@eng.ox.ac.uk.
University of Oxford · GB

Funding

SWL AND RENAL INJURY AND STONE COMMINUTIONP01DK043881 · NIDDK · UNIVERSITY OF WASHINGTON · PI LIU, ZIYUE · 1994 to 2023
$33.5M
European Research Council 306587NIDDK NIH HHS P01 DK043881
6 · The paper itself

Abstract

Shock waves are used clinically for breaking kidney stones and treating musculoskeletal indications. The mechanisms by which shock waves interact with tissue are still not well understood. Here, ultra-high-speed imaging was used to visualize the deformation of individual cells embedded in a tissue-mimicking phantom when subject to shock-wave exposure from a clinical source. Three kidney epithelial cell lines were considered to represent normal healthy (human renal epithelial), cancer (CAKI-2), and virus-transformed (HK-2) cells. The experimental results showed that during the compressive phase of the shock waves, there was a small (<2%) decrease in the projected cell area, but during the tensile phase, there was a relatively large (∼10%) increase in the projected cell area. The experimental observations were captured by a numerical model with a constitutive material framework consisting of an equation of state for the volumetric response and hyper-viscoelasticity for the deviatoric response. To model the volumetric cell response, it was necessary to change from a higher bulk modulus during the compression to a lower bulk modulus during the tensile shock loading. It was discovered that cancer cells showed a smaller deformation but faster response to the shock-wave tensile phase compared to their noncancerous counterparts. Cell viability experiments, however, showed that cancer cells suffered more damage than other cell types. These data suggest that the cell response to shock waves is specific to the type of cell and waveforms that could be tailored to an application. For example, the model predicts that a shock wave with a tensile stress of 4.59 MPa would increase cell membrane permeability for cancer cells with minimal impact on normal cells.

Indexed as

Extracorporeal Shockwave TherapyModels, BiologicalSingle-Cell AnalysisNeoplasmsStress, Mechanical

Identifiers

PMID29590600
PMCPMC5883951
OpenAlexW2795352829

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.