Evidence map›Paper›PMID 35884238›Full record

ArticleBiosensors2022

Tri-Channel Electrochemical Immunobiosensor for Combined Detections of Multiple Exosome Biomarkers of Lung Cancer.

Cui Fan, Bingyan Jiang, Wenjia Shi, Dan Chen, Mingyong Zhou

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Cui FanState Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China.ORCID 0000-0002-2409-1301
Bingyan JiangState Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China.
Wenjia ShiDepartment of Human Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha 410083, China.
Dan ChenDepartment of Human Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha 410083, China.
Mingyong ZhouState Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China.ORCID 0000-0002-7132-4681
Central South University · CN

Funding

Hunan Provincial Innovation Foundation for Postgraduate CX20210222Key Research and Development Program of Hunan Province 2019SK2221National Natural Science Foundation of China 51920105008State Key Laboratory of High Performance Complex Manufacturing, Central South University ZZYJKT2021-14
6 · The paper itself

Abstract

Current methods for the early diagnosis of cancer can be invasive and costly. In recent years, exosomes have been recognized as potential biomarkers for cancer diagnostics. The common methods for quantitative detection of exosomes, such as nanoparticle tracking analysis (NTA) and flow cytometry, rely on large-scale instruments and complex operation, with results not specific for cancer. Herein, we present a tri-channel electrochemical immunobiosensor for enzyme-free and label-free detecting carcino-embryonic antigen (CEA), neuron-specific enolase (NSE), and cytokeratin 19 fragments (Cyfra21-1) from exosomes for specific early diagnosis of lung cancer. The electrochemical immunobiosensor showed good selectivity and stability. Under optimum experimental conditions, the linear ranges were from 10

Indexed as

ExosomesLung NeoplasmsAntigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenHumansKeratin-19antigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenKeratin-19electrochemical immunobiosensorexosome detectionlung cancermultiple biomarkers

Identifiers

PMID35884238
PMCPMC9313016
OpenAlexW4283263237

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.