Evidence map›Paper›PMID 42449580›Full record

ArticleCancers2026

Small Is Beautiful: Is ctDNA Ready for Routine Implementation in Cancer Management?

Caroline Bailleux, Jean-Marc Ferrero, Rym Bouriga, Loic Trapani, Baharia Mograbi, Jocelyn Gal, Gérard Milano

Abstract read
In one paragraph

Article in Cancers, 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

7 authors.

Caroline BailleuxDepartment of Medical Oncology, Antoine Lacassagne Center, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.ORCID 0000-0003-4188-3367
Jean-Marc FerreroDepartment of Medical Oncology, Antoine Lacassagne Center, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.
Rym BourigaMedical Oncologist, Park Imperial Clinic, 28 Boulevard du Tzarewitch, 06000 Nice, France.
Loic TrapaniDepartment of Pathology, Antoine Lacassagne Center, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.ORCID 0000-0003-0928-5623
Baharia MograbiInstitute for Research on Ageing and Cancer, Nice (IRCAN), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédérations Hospitalo-Universitaires (FHU) OncoAge, Centre National de la Recherche Scientifique (CNRS) 7284, Institut National de la Santé et de la Recherche Médicale (INSERM) U1081, University Côte d'Azur, 06107 Nice, France.ORCID 0000-0002-1025-3429
Jocelyn GalInstitute for Research on Ageing and Cancer, Nice (IRCAN), Institut Hospitalo-Universitaire (IHU) RespirERA, Fédérations Hospitalo-Universitaires (FHU) OncoAge, Centre National de la Recherche Scientifique (CNRS) 7284, Institut National de la Santé et de la Recherche Médicale (INSERM) U1081, University Côte d'Azur, 06107 Nice, France.ORCID 0000-0002-1802-118X
Gérard MilanoScientific Direction, Antoine Lacassagne Center, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) has emerged as a transformative tool in cancer diagnostics, enabling the non-invasive detection of tumor-derived DNA fragments released into the bloodstream through cellular lysis or active secretion. ctDNA measurement has demonstrated its clinical usefulness, including early cancer detection, identification of resistance mechanisms, and screening of asymptomatic individuals. In addition to prognosis, ctDNA analysis is increasingly used to guide adaptive treatment strategies by detecting minimal residual disease and tracking tumor evolution in real time. Recent advances in artificial intelligence are poised to further enhance the clinical impact of ctDNA, transforming it from a passive monitoring biomarker into a dynamic molecular sensor integrated into predictive clinical decision models. However, broad implementation of ctDNA-based assays in routine practice requires rigorous prospective validation, cross-platform standardization, and regulatory approval to unlock its full potential in precision oncology.

Indexed as

artificial intelligencectDNAliquid biopsiesminimal residual diseaseNGStumor markers

Identifiers

PMID42449580
PMCPMC13360096

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.