Evidence map›Paper›PMID 32436503›Full record

ArticleThe Analyst2020

Plasmonic nanobiosensors for detection of microRNA cancer biomarkers in clinical samples.

Bridget M Crawford, Hsin-Neng Wang, Christina Stolarchuk, Richard J von Furstenberg, Pietro Strobbia, Dadong Zhang, Xiaodi Qin, Kouros Owzar, Katherine S Garman, Tuan Vo-Dinh

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Lyophilizing SERS biosensors to enable translation into an easy-to-use assay.Analytical methods : advancing methods and applications · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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

10 authors at 1 institution in 2 countries.

Bridget M CrawfordFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA. tuan.vodinh@duke.edu.
Hsin-Neng Wang
Christina Stolarchuk
Richard J von Furstenberg
Pietro Strobbia
Dadong Zhang
Xiaodi Qin
Kouros Owzar
Katherine S Garman
Tuan Vo-Dinh
Duke University · US

Funding

Nanoplasmonics-based molecular analysis tool for molecular biomarkers of cancerR21CA196426 · NCI · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2015 to 2017
$676k
NCI NIH HHS R21 CA196426
6 · The paper itself

Abstract

MicroRNAs (miRNAs) play an important role in the regulation of biological processes and have demonstrated great potential as biomarkers for the early detection of various diseases, including esophageal adenocarcinoma (EAC) and Barrett's esophagus (BE), the premalignant metaplasia associated with EAC. Herein, we demonstrate the direct detection of the esophageal cancer biomarker, miR-21, in RNA extracted from 17 endoscopic tissue biopsies using the nanophotonics technology our group has developed, termed the inverse molecular sentinel (iMS) nanobiosensor, with surface-enhanced Raman scattering (SERS) detection. The potential of this label-free, homogeneous biosensor for cancer diagnosis without the need for target amplification was demonstrated by discriminating esophageal cancer and Barrett's esophagus from normal tissue with notable diagnostic accuracy. This work establishes the potential of the iMS nanobiosensor for cancer diagnostics via miRNA detection in clinical samples without the need for target amplification, validating the potential of this assay as part of a new diagnostic strategy. Combining miRNA diagnostics with the nanophotonics technology will result in a paradigm shift in achieving a general molecular analysis tool that has widespread applicability for cancer research as well as detection of cancer. We anticipate further development of this technique for future use in point-of-care testing as an alternative to histopathological diagnosis as our method provides a quick result following RNA isolation, allowing for timely treatment.

Indexed as

Barrett EsophagusBiomarkers, TumorBiosensing TechniquesDiagnosis, DifferentialDNAEsophageal NeoplasmsGoldHumansImmobilized Nucleic AcidsMetal NanoparticlesMicroRNAsNucleic Acid HybridizationSilverSpectrum Analysis, RamanBiomarkers, TumorDNAGoldImmobilized Nucleic AcidsMicroRNAsMIRN21 microRNA, humanSilver

Identifiers

PMID32436503
PMCPMC9532004
OpenAlexW3020985969

What OpenQuestion holds

Textmetadata
LicenceTDM
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.