Evidence map›Paper›PMID 39771637›Full record

ArticleSensors (Basel, Switzerland)2024

Affinity Peptide-Based Circularly Permuted Fluorescent Protein Biosensors for Non-Small Cell Lung Cancer Diagnosis.

Dengyue Xu, Qingyun Jiang, Zhi Li, Angyang Shang, Jiaqi Liu, Chengyu Xue, Shuai Shao, Hangyu Zhang, Hong Yuan, Bin Wu and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Dengyue XuCentral Hospital of Dalian University of Technology, Dalian 116021, China.ORCID 0000-0001-8486-8090
Qingyun JiangCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Zhi LiCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Angyang ShangCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Jiaqi LiuCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Chengyu XueCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Shuai ShaoCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Hangyu ZhangCentral Hospital of Dalian University of Technology, Dalian 116021, China.ORCID 0000-0002-5392-8019
Hong YuanCentral Hospital of Dalian University of Technology, Dalian 116021, China.
Bin WuChina Certification and Inspection Group Liaoning Co., Ltd., Dalian 116039, China.
Bo LiuCentral Hospital of Dalian University of Technology, Dalian 116021, China.ORCID 0000-0002-5375-0505

Funding

Dalian Key R&D Program Project No.2021YF18SN023Dalian Major Basic Research Projects No. 2023JJ11CG005
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is the predominant form of lung cancer and poses a significant public health challenge. Early detection is crucial for improving patient outcomes, with serum biomarkers such as carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCAg), and cytokeratin fragment 19 (CYFRA 21-1) playing a critical role in early screening and pathological classification of NSCLC. However, due to being mainly based on corresponding antibody binding reactions, existing detection technologies for these serum biomarkers have shortcomings such as complex operations, high false positive rates, and high costs. This study aimed to develop new methods for detecting CEA, SCCAg, and CYFRA 21-1 to assist in the diagnosis of NSCLC. Affinity peptides of CEA, SCCAg, and CYFRA 21-1, respectively, were screened by phage display technology, and the peptides' binding affinities were determined by enzyme-linked immunosorbent assay and biolayer interferometry. Peptides with high affinity were then integrated as binding domains into biosensors by fusing them with circularly permuted fluorescent proteins (cpFPs) through genetic coding. The resulting biosensors, C4 biosensor for CEA, S1 biosensor for SCCAg, and Y3 biosensor for CYFRA 21-1, demonstrated robust sensitivity and specificity even at concentrations as low as 1 ng/mL for their respective tumor markers. When applied to clinical samples and recalibrated for the upper limit of normal concentrations, the biosensors exhibited enhanced sensitivity and specificity for NSCLC diagnosis. This study introduced innovative biosensors for the detection of CEA, SCCAg, and CYFRA 21-1, providing a highly sensitive, specific, rapid, and cost-effective diagnostic alternative that could significantly improve NSCLC screening rates.

Indexed as

Antigens, NeoplasmBiomarkers, TumorBiosensing TechniquesCarcinoembryonic AntigenCarcinoma, Non-Small-Cell LungKeratin-19Lung NeoplasmsPeptidesHumansSerpinsantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenKeratin-19PeptidesSerpinssquamous cell carcinoma-related antigencarcinoembryonic antigencircularly permuted fluorescent proteincytokeratin fragment 19non-small cell lung cancerphage displaysquamous cell carcinoma antigen

Identifiers

PMID39771637
PMCPMC11679068

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.