Evidence map›Paper›PMID 39997027›Full record

ArticleBiosensors2025

High-Precision Field- Effect Transistor Biosensor for Analyzing Differential Effects of Anti-Cancer Drugs on Cancerous and Non-Cancerous Cells.

Can Li, Can Hu, Ling Li, Feng He, Xiaofei Li

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Can LiEngineering Research Center of TCM Intelligence Health Service, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China.ORCID 0000-0002-6408-6806
Can HuSchool of Computer and Software, Hohai University, Nanjing 211100, China.
Ling LiEngineering Research Center of TCM Intelligence Health Service, School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Feng HeCollege of Computer and Information Engineering (College of Artificial Intelligence), Nanjing Tech University, Nanjing 211816, China.
Xiaofei LiDepartment of Sports Medicine, The First People's Hospital of Lianyungang, Affiliated Lianyungang Hospital of Xuzhou Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang 222599, China.ORCID 0009-0002-0686-1859

Funding

National Natural Science Foundation of China 82205312the supporting project of Nanjing University of Chinese Medicine for the National Natural Science Foundation of China XPT82205312
6 · The paper itself

Abstract

A high-precision biosensor technique is introduced, offering the capability to independently evaluate the effects of anti-cancer drugs on both cancerous (RAJI) and non-cancerous (WIL2S) cells. By analyzing and fitting current change curves and transfer characteristic curves under two drugs, camptothecin and doxorubicin, this technique quantifies both the magnitude of drug-induced current changes in cells and the rate of drug entry into cells. Flow cytometry was utilized to validate the entry rates of two drugs, camptothecin and doxorubicin, into the cells. The biosensor leverages the exceptional sensitivity of two-dimensional electron gas to detect proximal charge variations at ultralow concentrations, even in fluids with high ionic strength. The findings reveal that anti-cancer drugs have a more pronounced impact on tumor cells, with the effects and interaction speeds differing across normal cells and tumor cells. This innovative approach not only enhances our understanding of the specificity and action mechanisms of anti-cancer drugs but also provides a valuable tool for screening potential tumor anti-cancer drugs and advancing targeted cancer therapies.

Indexed as

Antineoplastic AgentsBiosensing TechniquesCamptothecinCell Line, TumorDoxorubicinHumansTransistors, ElectronicAntineoplastic AgentsCamptothecinDoxorubicinanti-cancer drugscamptothecindoxorubicindrug action speedfield-effect transistor biosensorsrapid detection

Identifiers

PMID39997027
PMCPMC11852787

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.