Evidence mapPaperPMID 41590296Full record

ReviewBiosensors2026

Electrochemical Detection of Cancer Biomarkers: From Molecular Sensing to Clinical Translation.

Ahmed Nadeem-Tariq, John Russell Rafanan, Nicole Kang, Sunny Zhang, Hemalatha Kanniyappan, Aftab Merchant

Abstract readReview
In one paragraph

Review in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ahmed Nadeem-TariqKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0009-0007-1836-6608
John Russell RafananKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0009-0004-8727-2953
Nicole KangKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.
Sunny ZhangKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0000-0002-0211-850X
Hemalatha KanniyappanDepartment of Biomedical Engineering, University of Massachusetts Amherst, MA 01003, USA.
Aftab MerchantKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0000-0002-0969-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early cancer detection is crucial for improving survival rates and treatment outcomes. Electrochemical biosensors have emerged as powerful tools for early cancer detection due to their high sensitivity, specificity, and rapid detection capabilities. This review explores recent advancements (2015-2025) in electrochemical biosensors for cancer biomarker detection, their working principles, novel nanomaterial-based enhancements, challenges, and prospects for clinical applications. Specifically, we highlight the electrochemical detection of protein biomarkers (e.g., CEA, PSA, CRP), nucleic acid markers (ctDNA, miRNA, methylation patterns), and metabolic indicators, emphasizing their clinical relevance in early diagnosis and monitoring. Unlike previous reviews which focus on either biomarker classes or sensor platforms, this review uniquely integrates both factors. This review provides a novel perspective on how next-generation electrochemical biosensors can bridge the gap between laboratory development and real-world cancer diagnostics.

Indexed as

Biomarkers, TumorBiosensing TechniquesElectrochemical TechniquesNeoplasmsHumansNanostructuresBiomarkers, Tumorcancer biomarker detectionconducting polymerselectrochemical biosensorsgraphene and carbon nanotubeshealthcare biosensorsnanomaterialssignal transduction

Identifiers

PMID41590296
PMCPMC12838597

What Socratic 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 Socratic graph.