Evidence map›Paper›PMID 37213349›Full record

ArticleInternational journal of nanomedicine2023

A SERS Biosensor Based on Functionalized Au-SiNCA Integrated with a Dual Signal Amplification Strategy for Sensitive Detection of Telomerase Activity During EMT in Laryngeal Carcinoma.

Yuexing Gu, Yan Li, Shengjie Ge, Wenbo Lu, Yu Mao, Miao Chen, Yayun Qian

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

7 authors at 3 institutions in 1 country.

Yuexing Gu *Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China.
Yan Li *Department of Obstetrics and Gynecology, The Second People's Hospital of Taizhou City, Taizhou, People's Republic of China.
Shengjie GeInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China.
Wenbo LuShanxi Normal University, College of Chemistry and Material Science, Linfen, People's Republic of China.
Yu MaoInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China.
Miao ChenInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China.
Yayun QianInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China.ORCID 0000-0002-3458-3377
Yangzhou University · CNShanxi Normal University · CNTaizhou Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This paper aims to construct a surface-enhanced Raman spectroscopy (SERS) biosensor based on functionalized Au-Si nanocone arrays (Au-SiNCA) using a dual signal amplification strategy (SDA-CHA) to evaluate telomerase activity during epithelial-mesenchymal transition (EMT) in laryngeal carcinoma (LC). Methods: A SERS biosensor based on functionalized Au-SiNCA was designed with an integrated dual-signal amplification strategy to achieve ultrasensitive detection of telomerase activity during EMT in LC patients. Results: Labeled probes (Au-AgNRs@4-MBA@H Conclusion: This scheme provides a reproducible, selective, and ultrasensitive assay for telomerase activity, which is expected to be a potential tool for the early screening of LC in future clinical applications.

Indexed as

Biosensing TechniquesCarcinomaMetal NanoparticlesTelomeraseEpithelial-Mesenchymal TransitionGoldHumansLimit of DetectionSpectrum Analysis, RamanGoldTelomeraseAu-SiNCAepithelial-mesenchymal transitionlaryngeal carcinomasurface-enhanced Raman scatteringtelomerase

Identifiers

PMID37213349
PMCPMC10198182
OpenAlexW4377220686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.