Evidence map›Paper›PMID 31739597›Full record

ArticleBiosensors2019

Bioelectrical Analysis of Various Cancer Cell Types Immobilized in 3D Matrix and Cultured in 3D-Printed Well.

Georgia Paivana, Sophie Mavrikou, Grigoris Kaltsas, Spyridon Kintzios

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 9 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

4 authors at 2 institutions in 1 country.

Georgia PaivanaLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, 118 55 Athens, Greece.
Sophie MavrikouLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, 118 55 Athens, Greece.
Grigoris KaltsasmicroSENSES Laboratory, Department of Electrical and Electronic Engineering, University of West Attica, 122 44 Athens, Greece.
Spyridon KintziosLaboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, 118 55 Athens, Greece.
Agricultural University of Athens · GRUniversity of West Attica · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cell lines are important tools for anticancer drug research and assessment. Impedance measurements can provide valuable information about cell viability in real time. This work presents the proof-of-concept development of a bioelectrical, impedance-based analysis technique applied to four adherent mammalian cancer cells lines immobilized in a three-dimensional (3D) calcium alginate hydrogel matrix, thus mimicking in vivo tissue conditions. Cells were treated with cytostatic agent5-fluoruracil (5-FU). The cell lines used in this study were SK-N-SH, HEK293, HeLa, and MCF-7. For each cell culture, three cell population densities were chosen (50,000, 100,000, and 200,000 cells/100 μL). The aim of this study was the extraction of mean impedance values at various frequencies for the assessment of the different behavior of various cancer cells when 5-FU was applied. For comparison purposes, impedance measurements were implemented on untreated immobilized cell lines. The results demonstrated not only the dependence of each cell line impedance value on the frequency, but also the relation of the impedance level to the cell population density for every individual cell line. By establishing a cell line-specific bioelectrical behavior, it is possible to obtain a unique fingerprint for each cancer cell line reaction to a selected anticancer agent.

Indexed as

Biosensing TechniquesElectric ImpedanceElectrochemical TechniquesPrinting, Three-DimensionalAlginatesCells, CulturedCells, ImmobilizedCell SurvivalHEK293 CellsHumansAlginates3D-printed wellbioelectric profilingcell immobilizationimpedance analysisreal-time measurements

Identifiers

PMID31739597
PMCPMC6956196
OpenAlexW2987229189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.