Evidence map›Paper›PMID 41892027›Full record

ArticleBiosensors2026

Proof of Concept for Tumor Mutational Burden Prediction Through Biophysical Analysis Based on UHF-Dielectrophoresis.

Héloïse Daverat, Nina Blasco, Sandrine Robert, Amandine Rovini, Claire Dalmay, Fabrice Lalloué, Arnaud Pothier, Karine Durand, Thomas Naves

Abstract read
In one paragraph

Article in Biosensors, 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

9 authors.

Héloïse DaveratUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0009-0001-1527-4157
Nina BlascoXLIM-UMR 7252, University of Limoges/CNRS, 123 Avenue Albert Thomas, 87060 Limoges, France.ORCID 0009-0008-5311-2416
Sandrine RobertUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0000-0003-1908-3144
Amandine RoviniUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0000-0003-0483-9092
Claire DalmayXLIM-UMR 7252, University of Limoges/CNRS, 123 Avenue Albert Thomas, 87060 Limoges, France.ORCID 0000-0001-5479-8247
Fabrice LallouéUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0000-0003-0382-4948
Arnaud PothierXLIM-UMR 7252, University of Limoges/CNRS, 123 Avenue Albert Thomas, 87060 Limoges, France.
Karine DurandUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0000-0002-9738-3444
Thomas NavesUMR INSERM 1308, CAPTuR, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, France.ORCID 0000-0002-5291-5689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor Mutational Burden (TMB) is a critical biomarker used to determine patient eligibility for immunotherapy with immune checkpoint inhibitors. However, its gold-standard assessment via whole exome sequencing is limited by high costs, technical complexity, and lengthy processing times. To address these challenges, we investigated whether Ultra-High-Frequency (UHF) electromagnetic wave sensing could serve as an alternative method for evaluating TMB. We analyzed the dielectrophoresis crossover frequency spectrum and corresponding electromagnetic signature (EMS) of cancer cells using a lab-on-a-chip biosensor that integrates microfluidics with dielectrophoresis-based electro-manipulation. Across seven solid tumor cell lines exhibiting diverse TMB levels, EMS exhibited an upward shift correlated with higher TMB, suggesting a relationship between mutational load and electromagnetic behavior. To further explore this connection, we artificially increased the somatic variant burden by exposing cells to the mutagen N-ethyl-N-nitrosourea (ENU). EMS measurements reliably detected the induced increase in variant load in ENU-treated cells. Overall, these findings demonstrate that EMS can detect both intrinsic TMB differences and experimentally induced increases in mutational burden, enabling refined categorization of cancer cells. Although further validation is required, this work lays the foundation for developing complementary, rapid, and accessible tools to support cancer cell stratification and guide immunotherapy decision-making.

Indexed as

Biosensing TechniquesElectrophoresisNeoplasmsBiomarkers, TumorCell Line, TumorHumansMutationBiomarkers, Tumorelectromagnetic signatureimmunotherapy eligibilitypredictive markertumor mutational burdenUHF-Dielectrophoresis sensing

Identifiers

PMID41892027
PMCPMC13023853

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Registered trials

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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.