Evidence map›Paper›PMID 41705305›Full record

ReviewBiochemical Society transactions2026

Emerging liquid biopsy tools to analyse cancer biomarkers: electrochemical sensors and extracellular vesicle analysis.

Anitha Devadoss, Michael R Furness, Nathan J W Wu, Olga Oikonomidou, Maïwenn Kersaudy-Kerhoas, Nick R Leslie

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Anitha DevadossInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.ORCID 0000-0002-8052-1820
Michael R FurnessInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.ORCID 0009-0000-1547-2666
Nathan J W WuInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.ORCID 0000-0003-2870-5419
Olga OikonomidouCancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XR, U.K.
Maïwenn Kersaudy-KerhoasInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.
Nick R LeslieInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, U.K.ORCID 0000-0001-5131-0541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Better biomarker analysis technologies can provide improvements in the detection, characterisation and monitoring of cancer and less invasive sampling of blood and other body fluids can improve acceptability and affordability. Here, we discuss these technologies with a specific focus on recent advances in electrochemical sensors, specifically for the analysis of extracellular vesicles (EVs). Widely used biomarker tests with relatively high sensitivity (e.g. ELISAs) are limited by their cost, storage requirements and shelf-life, and ease of use away from centralised facilities. Moreover, their limits of detection (most commonly in the nanomolar to picomolar, with new technologies pushing into the femtomolar range) remain challenged by low abundance biomarkers. Here, we discuss how electrochemical sensor platforms, although often requiring more effort to adapt for new analytes, can provide high sensitivity and direct quantitation at low cost. These platforms are also often simpler to use away from testing facilities. Additionally, we explore how EVs, by protecting nucleic acid and protein cargos from degradation, may facilitate the collective enrichment from blood samples of multiple tumour-derived biomarkers. Continued progress in analysis technologies, alongside a deeper understanding of biomarker biology and clinical value, holds the potential to improve outcomes for the increasing numbers of individuals diagnosed with cancer.

Indexed as

Biomarkers, TumorBiosensing TechniquesElectrochemical TechniquesExtracellular VesiclesNeoplasmsHumansLiquid BiopsyBiomarkers, Tumorcancer biomarkerselectrochemical biosensorsextracellular vesiclespoint-of-care diagnosisproteins

Identifiers

PMID41705305
PMCPMC13105405

What OpenQuestion holds

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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.