Evidence map›Paper›PMID 39318504›Full record

ArticleNAR genomics and bioinformatics2024

Effective requesting method to detect fusion transcripts in chronic myelomonocytic leukemia RNA-seq.

Florence Rufflé, Jérôme Reboul, Anthony Boureux, Benoit Guibert, Chloé Bessière, Raissa Silva, Eric Jourdan, Jean-Baptiste Gaillard, Anne Boland, Jean-François Deleuze and 5 more

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. 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

15 authors.

Florence RuffléIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Jérôme ReboulIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Anthony BoureuxIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Benoit GuibertIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Chloé BessièreIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Raissa SilvaIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.
Eric JourdanDepartment of Hematology, Nîmes University Hospital, 30900 Nîmes, France.
Jean-Baptiste GaillardDepartment of Molecular Genetics and Cytogenomics, Montpellier university hospital, 34295 Montpellier, France.
Anne BolandUniversité Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057 Evry, France.
Jean-François DeleuzeUniversité Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057 Evry, France.
Catherine Sénamaud-BeaufortGenomiqueENS, Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France.
Dorothée Selimoglu-BuetDepartment of Hematology, Gustave Roussy Cancer Center, Université Paris-Saclay, 94805 Villejuif, France.
Eric SolaryDepartment of Hematology, Gustave Roussy Cancer Center, Université Paris-Saclay, 94805 Villejuif, France.
Nicolas GilbertIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.ORCID https://orcid.org/0000-0003-3311-7494
Thérèse CommesIRMB, University of Montpellier, INSERM, 80 rue Augustin Fliche, 34295 Montpellier, France.ORCID https://orcid.org/0000-0002-7918-0176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA sequencing technology combining short read and long read analysis can be used to detect chimeric RNAs in malignant cells. Here, we propose an integrated approach that uses k-mers to analyze indexed datasets. This approach is used to identify chimeric RNA in chronic myelomonocytic leukemia (CMML) cells, a myeloid malignancy that associates features of myelodysplastic and myeloproliferative neoplasms. In virtually every CMML patient, new generation sequencing identifies one or several somatic driver mutations, typically affecting epigenetic, splicing and signaling genes. In contrast, cytogenetic aberrations are currently detected in only one third of the cases. Nevertheless, chromosomal abnormalities contribute to patient stratification, some of them being associated with higher risk of poor outcome, e.g. through transformation into acute myeloid leukemia (AML). Our approach selects four chimeric RNAs that have been detected and validated in CMML cells. We further focus on

Identifiers

PMID39318504
PMCPMC11420675

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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.