Evidence map›Paper›PMID 42778830›Full record

ReviewAnnals of biomedical engineering2026

Electrochemical Biosensors for Circulating Tumor Cells and ctDNA: Emerging Strategies for Precision Oncology.

Tuğba Ören Varol, Mehmet Varol

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Tuğba Ören VarolDepartment of Chemistry, Faculty of Science, Kotekli Campus, Mugla Sitki Kocman University, TR48000, Mugla, Turkey.ORCID http://orcid.org/0000-0003-3680-5743
Mehmet VarolDepartment of Molecular Biology and Genetics, Faculty of Science, Kotekli Campus, Mugla Sitki Kocman University, TR48000, Mugla, Turkey. mehmetvarol@mu.edu.tr.ORCID http://orcid.org/0000-0003-2565-453X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) are pivotal biomarkers in liquid biopsy, providing minimally invasive access to tumor dynamics for monitoring disease progression, treatment response, and resistance. However, their scarcity and molecular heterogeneity pose analytical challenges that often exceed the sensitivity, specificity, and clinical applicability of conventional platforms. Electrochemical biosensors have emerged as a powerful alternative, distinguished by low detection limits, portability, scalability, and compatibility with point-of-care settings. Unlike previous reviews, this work highlights strategies specifically designed for epithelial-mesenchymal transition (EMT)-associated CTC phenotypes and explores AI- and IoT-enabled implementations for decentralized oncology. A comprehensive evaluation of electrochemical approaches for CTC and ctDNA detection is provided, with emphasis on molecular recognition interfaces, electrode surface engineering, and amperometric, potentiometric, and impedance-based readouts. Recent advances in nanomaterial-enhanced electrodes, aptamer- and antibody-based capture, and nucleic acid-driven amplification, including rolling circle amplification, terminal deoxynucleotidyl transferase (TdT)-mediated polymerization, and DNA nanomachines, are critically examined. Integration with microfluidics, smartphone-based potentiostats, and AI-enhanced analytics for multiplexed profiling is discussed alongside translational challenges such as sensor fouling, matrix interference, fabrication variability, and clinical validation. Emerging solutions, including antifouling surfaces, federated learning frameworks, and ISO-compliant standardization, are outlined to support clinical translation.

Indexed as

Circulating tumor cellsCirculating tumor DNAElectrochemical biosensorsNanomaterialsPrecision oncology

Identifiers

PMID42778830

What OpenQuestion holds

Textmetadata
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.