Evidence map›Paper›PMID 41503160›Full record

ArticleNAR genomics and bioinformatics2026

MobiCT: a UMI-based circulating tumor DNA analysis pipeline.

Simon Cabello-Aguilar, Charles Van Goethem, Jean-Charles Delmas, Oussama Bourbia, Romain Senal, Mireille Cossée, Olivier Ardouin, Jérôme Solassol, Julie A Vendrell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NAR genomics and bioinformatics, 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. Article
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.

Simon Cabello-AguilarLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295, Montpellier, France.ORCID https://orcid.org/0000-0002-2904-7430
Charles Van GoethemLaboratoire de Génétique Moléculaire, Institut Universitaire de Recherche Clinique, CHU Montpellier, 34090 Montpellier, France.
Jean-Charles DelmasLaboratoire de génétique des maladies rares et auto-inflammatoires, centre de référence des maladies auto-inflammatoires rares et des amyloses (CeRéMAIA), CHU de Montpellier, INSERM UMR1183, 34295, Montpellier, France.
Oussama BourbiaLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295, Montpellier, France.
Romain SenalLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295, Montpellier, France.
Mireille CosséeLaboratoire de Génétique Moléculaire, Institut Universitaire de Recherche Clinique, CHU Montpellier, 34090 Montpellier, France.
Olivier ArdouinMontpellier BioInformatique pour le Diagnostic Clinique (MoBiDiC), Plateau de Médecine Moléculaire et Génomique (PMMG), CHU Montpellier, 34295, Montpellier, France.
Jérôme SolassolLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295, Montpellier, France.
Julie A VendrellLaboratoire de Biologie des Tumeurs Solides, Département de Pathologie et Oncobiologie, CHU Montpellier, Université de Montpellier, 34295, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MobiCT is a bioinformatics pipeline designed to detect ultra-low-frequency variants present in cell-free DNA samples using unique molecular identifier (UMI). The pipeline is composed of three main stages: (i) UMI deduplication, (ii) alignment to reference genome, and (iii) variant calling. It has been validated using a range of cancer patients and control samples, demonstrating sensitivity, precision, and F1-score around 90%. Implemented in Nextflow, following the nf-core guidelines, MobiCT ensures reliability and reproducibility, making it suitable for both research and clinical applications.

Indexed as

Circulating Tumor DNAComputational BiologyNeoplasmsSequence Analysis, DNASoftwareHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsCirculating Tumor DNA

Identifiers

PMID41503160
PMCPMC12770973

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.