Evidence map›Paper›PMID 41801470›Full record

ArticleMikrochimica acta2026

Locked nucleic acid probes enable enzyme-free photoelectrochemical detection of double-stranded DNA cancer biomarkers.

Anouk Peymen, Alejandro Valverde, Thijs Van der Snickt, Elise Daems, Pieter Mestdagh, Karolien De Wael

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anouk PeymenAntwerp engineering, photoelectrochemistry and sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium.
Alejandro ValverdeAntwerp engineering, photoelectrochemistry and sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium.
Thijs Van der SnicktOncoRNALab, Department of Biomolecular Medicine, Ghent University, Ghent, 9000, Belgium.
Elise DaemsAntwerp engineering, photoelectrochemistry and sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium.
Pieter MestdaghOncoRNALab, Department of Biomolecular Medicine, Ghent University, Ghent, 9000, Belgium.
Karolien De WaelAntwerp engineering, photoelectrochemistry and sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium. karolien.dewael@uantwerpen.be.

Funding

Fonds Wetenschappelijk Onderzoek 1251525NFonds Wetenschappelijk Onderzoek 1256424NFonds Wetenschappelijk Onderzoek 1S35625NFonds Wetenschappelijk Onderzoek G078223NInteruniversity Special Research Fund iBOF/23/030Special Research Fund of the University of Antwerp BOF/KPSpecial Research Fund of the University of Antwerp project 53370Special Research Fund of the University of Antwerp SEP-BOF
6 · The paper itself

Abstract

The accurate detection of double-stranded DNA (dsDNA) cancer biomarkers remains a critical challenge in biosensing technologies, as native strand pairing hampers probe hybridization. While photoelectrochemical (PEC) biosensors hold promise for rapid and cost-effective nucleic acid diagnostics, their application has largely been confined to synthetic single-stranded DNA (ssDNA), limiting their clinical applicability. Here, we introduce an enzyme-free PEC biosensing strategy that directly detects DNA targets within their native double-stranded form by integrating locked nucleic acid (LNA) probes into a singlet oxygen (1O2)-based PEC assay. Using KRAS G12C as a dsDNA model, systematic probe engineering identified a 17-nucleotide capture probe with three LNA modifications flanking the mutation site as the optimal design for the capture probe. The biosensor achieved a limit of detection of 20 pM for KRAS-mutated dsDNA, a discrimination efficiency of 92.9% against KRAS wild-type (WT) sequences, and reliable detection of 1% variant allele frequency (VAF) in a WT background, closely reflecting clinical scenarios. This study represents the first use of LNA-modified probes in PEC biosensing and offers a robust strategy for enzyme-free detection of dsDNA targets, with broad potential for precision oncology and point-of-care applications.

Indexed as

Biomarkers, TumorBiosensing TechniquesDNAElectrochemical TechniquesOligonucleotidesHumansLimit of DetectionNucleic Acid HybridizationPhotochemical ProcessesProto-Oncogene Proteins p21(ras)Singlet OxygenBiomarkers, TumorDNAKRAS protein, humanlocked nucleic acidOligonucleotidesProto-Oncogene Proteins p21(ras)Singlet OxygenBiosensorCancer diagnosticsDouble-stranded DNAKRAS G12C mutationLocked nucleic acid (LNA)PhotoelectrochemistrySinglet oxygen

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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.