Evidence map›Paper›PMID 39996993›Full record

ArticleBiosensors2025

Evaluation of Cancer Cell Invasion Ability Based on Electrochemical Impedance.

Feiyang Jiang, Mingji Wei, Si Chen, Yanfei Wang, Ning Liu, Ning Yang

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Feiyang JiangSchool of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Mingji WeiSchool of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Si ChenFluid Machinery Center, Jiangsu University, Zhenjiang 212013, China.
Yanfei WangSchool of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Ning LiuSchool of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Ning YangSchool of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0003-4267-4698

Funding

Jiangsu Provincial Department of Science and Technology BE2022052-2Jiangsu Provincial Department of Science and Technology BE2023017-2Jiangsu Provincial Department of Science and Technology BK20240851National Natural Science Foundation of China (Surface) 52475190
6 · The paper itself

Abstract

Cancer metastasis is the leading cause of cancer-related deaths, with the ability of cancer cells to invade blood vessels or lymphatic systems, determining their metastatic potential. Therefore, the rapid and accurate assessment of cell invasiveness is crucial. Current methods, such as the Transwell assay and fluorescent labeling, are complex, invasive, and may disrupt the physiological state of live cells. In this study, we introduce an electrochemical impedance-based method for evaluating cancer cell invasiveness, combining Transwell and microfluidic technologies to monitor the invasion process in a dynamic environment. A stable microfluidic chip with 30 μm interdigital electrodes was developed, optimized for HeLa cell detection. We identified 1 kHz as the optimal frequency for achieving the maximum impedance resolution of cancer cell invasiveness. By correlating the impedance response of Z

Indexed as

Biosensing TechniquesElectric ImpedanceElectrochemical TechniquesNeoplasm InvasivenessNeoplasmsHeLa CellsHumanscancer cell invasionelectrical impedance modelmicrofluidic

Identifiers

PMID39996993
PMCPMC11852497

What OpenQuestion holds

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LicenceCC BY
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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.