Evidence map›Paper›PMID 37366982›Full record

ReviewBiosensors2023

Aptameric Fluorescent Biosensors for Liver Cancer Diagnosis.

Seonga Park, Euni Cho, Sy-Tsong Dean Chueng, June-Sun Yoon, Taek Lee, Jin-Ho Lee

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  13. Aptamers' Potential to Fill Therapeutic and Diagnostic Gaps.Pharmaceuticals (Basel, Switzerland) · 2024
    Article
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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

6 authors at 3 institutions in 1 country.

Seonga ParkSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Euni ChoSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Sy-Tsong Dean ChuengVitale Biotechnology, Inc., 700 West Park Ave, Perkasie, PA 18944, USA.
June-Sun YoonDepartment of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Republic of Korea.ORCID 0000-0001-6007-1650
Taek LeeDepartment of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea.
Jin-Ho LeeSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-5877-0222
Pusan National University · KRJeonbuk National University · KRKwangwoon University · KR

Funding

Kwangwoon University in 2023National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) 2020R1C1C1011876 and 2022R1A5A2027161
6 · The paper itself

Abstract

Liver cancer is a prevalent global health concern with a poor 5-year survival rate upon diagnosis. Current diagnostic techniques using the combination of ultrasound, CT scans, MRI, and biopsy have the limitation of detecting detectable liver cancer when the tumor has already progressed to a certain size, often leading to late-stage diagnoses and grim clinical treatment outcomes. To this end, there has been tremendous interest in developing highly sensitive and selective biosensors to analyze related cancer biomarkers in the early stage diagnosis and prescribe appropriate treatment options. Among the various approaches, aptamers are an ideal recognition element as they can specifically bind to target molecules with high affinity. Furthermore, using aptamers, in conjunction with fluorescent moieties, enables the development of highly sensitive biosensors by taking full advantage of structural and functional flexibility. This review will provide a summary and detailed discussion on recent aptamer-based fluorescence biosensors for liver cancer diagnosis. Specifically, the review focuses on two promising detection strategies: (i) Förster resonance energy transfer (FRET) and (ii) metal-enhanced fluorescence for detecting and characterizing protein and miRNA cancer biomarkers.

Indexed as

Aptamers, NucleotideBiosensing TechniquesLiver NeoplasmsBiomarkers, TumorFluorescence Resonance Energy TransferFluorescent DyesHumansProteinsAptamers, NucleotideBiomarkers, TumorFluorescent DyesProteinsaptamerbiosensorsFörster resonance energy transferliver cancermetal-enhanced fluorescent

Identifiers

PMID37366982
PMCPMC10296440
OpenAlexW4379470173

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.